Indigenous and Scientific Knowledge Integration for Improved Crop Diversification and Sustainability in the Garhwal Himalayas

Indigenous and Scientific Knowledge Integration for Improved Crop Diversification and Sustainability in the Garhwal Himalayas | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Indigenous and Scientific Knowledge Integration for Improved Crop Diversification and Sustainability in the Garhwal Himalayas Pratibha Rawat, Rajendra Singh Negi, Ajeet Kumar Negi, Santosh Singh This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8172820/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 13 You are reading this latest preprint version Abstract Agriculture in the Himalayan region of Uttarakhand, India, is shaped by a unique interplay of Indigenous Knowledge (IK) and Scientific Knowledge (SK) within rugged, fragile landscapes. This study quantitatively assessed the adoption patterns of IK and SK for crop diversification in the Rawain region of Uttarkashi District, surveying 300 farming households across 12 villages at varying altitudes. Results indicate that IK remains dominant in land preparation, weed and post-harvest management, and storage due to its cultural significance and local suitability. In contrast, scientific interventions, particularly pest management strategies and the adoption of hybrid crop varieties, are increasingly employed to address new agronomic challenges. Crop diversification dominated by high-value hybrids such as apples, peas, and tomatoes emerges as a principal income strategy, balancing resilience against climate variability and market risks. Correlation analysis reveals that, while diversification introduces risks such as weather unpredictability and pest outbreaks, farmers perceive pronounced benefits, including improved income, enhanced nutrition, and greater climate resilience. The findings highlight an evolving, pragmatic integration of local traditions and scientific advances. This study highlights the need for policy frameworks and extension models that validate Indigenous practices while promoting scientifically informed innovation to promote sustainable mountain agriculture globally. Indigenous Knowledge Scientific Knowledge Crop Diversification Sustainable Agriculture Rawain Region Uttarkashi Figures Figure 1 1. Introduction Uttarakhand, a hilly state in India, spans a total geographic area of 53,483 km² and lies at the foothills of the Himalayan Mountain range. Positioned between the latitudes of 28° 43′ N to 31° 27′ N and longitudes of 77° 34′ E to 81° 02′ E. The state is renowned for its rich biodiversity and unique cultural heritage. In the remote mountain regions of Uttarakhand, cultural diversity and ecological sustainability are deeply intertwined, forming a symbiotic relationship between habitats, traditions, and ecosystems (Negi, 2010 [1]). This intricate connection has fostered a wealth of Indigenous Knowledge (IK) that has shaped agricultural and environmental practices for generations. Indigenous Knowledge is rooted in the long-lived experiences of communities, evolving through continuous adaptation to local environmental conditions (Senanayake, 2006[2]). Developed over centuries through trial and error, it encompasses problem-solving techniques that enable communities to recognize challenges and devise localized solutions (Mahalik & Mahapatra [3], 2010; Ardakani et al., 2000[4]). However, while IK provides valuable experiential insights and sustainable solutions, Scientific Knowledge (SK) offers empirical rigor and technological advancements that drive innovation. Scientific research has played a crucial role in enhancing agricultural productivity by developing high-yielding, disease-resistant crop varieties and promoting scientific farming techniques such as precision agriculture and climate-smart strategies (El Mahdy, 2021[5]; Ahmed et al., 2024[6]; Adewuyi et al., 2024[7], Huang and Wang, 2024[8]; and Roy and Medheker, 2025[9]). The scientific approach prioritizes efficiency, productivity, and scalability, leveraging mechanization, synthetic fertilizers, and genetically modified crops to maximize yields. While these advancements have significantly increased food production, they have also contributed to environmental challenges such as soil degradation and biodiversity loss (Jeffery & Gardi, 2010[10]; Tibbett et al.,2020[11]; Gupta et al., 2024[12]; Gamage et al., 2024[13]; Folina et al., 2025[14]; and Habib et al.,2025[15]). In India, agricultural diversification has increasingly been pursued not merely as a risk-coping mechanism but as a deliberate strategy to enhance farm incomes through the cultivation of high-value crops (Rao et al., 2004[16]; Joshi et al., 2004[17]; Birthal et al., 2013[18]; Basantaray et al., 2022[19]; Jackson et al., 2025[20] and Kumari et al.,2025[21]). Crop diversification serves as an effective risk mitigation strategy against climatic uncertainties, biotic stresses, and market fluctuations, particularly in fragile ecosystems (Ferry de Monatalembert 2025[22]; and Mihrete, and Mihretu, 2025[23]). Mihrete and Mihretu (2025)[23] argue that promoting diversified cropping systems including spatial, temporal, genetic (locally adapted and novel varieties), and intercropping strategies can enhance food security, stabilize incomes for resource-poor farmers, and support environmental sustainability. Diversification in Indian agriculture has increasingly become a proactive, income-enhancing approach particularly through the cultivation of high-value crops like fruits and vegetables rather than a mechanism solely for managing climatic or market risk (Birthal et al., 2020[24]; Neogi et al.,2022[25]; Kumari, 2025[21]; and Ferry and de Moantalembert, 2025[22]). This shift highlights the potential of diversification as a strategic lever for economic welfare and sustainable resource management, but also at the risk of agro-biodiversity erosion to some extent (Dev, 2018[26] and Kumar et al., 2025[27]; and PIB,2025[28]). However, there is little empirical knowledge of this process, which makes it more difficult to create resilient, locally relevant farming practices that provide both ecological sustainability and livelihood stability (Šūmane et al., 2018[29]; Yanou et al., 2023[30]; Reckling et al., 2023[31]; Shaffril et al., 2024[32]; and Bai et al., 2024[33]) This study is significant as it addresses the urgent need to strengthen agroecological resilience and farm-based livelihoods in a climatically fragile Himalayan region (Pandey et al., 2017[34]; Roy & Kumar, 2018[35]; Kumar et al., 2021[36] and Roy and Medheker, 2025[9]). The growing need for sustainable agricultural solutions highlights the importance of integrating Indigenous and scientific knowledge. By blending traditional ecological wisdom with scientific advancements, communities can develop resilient farming strategies that enhance food security, promote ecological balance, and align with local cultural contexts. This integration is not just a theoretical concept but a necessary transformation in agricultural practices ensuring sustainability while maintaining productivity. In the current study, the null hypotheses to be tested are that there is no significant adoption of identified traditional and scientific agricultural practices among farmers and no significant correlation between perceived risks and benefits and crop diversification. 2. Materials and Methods 2.1 Study Area The study was conducted in the Naugaon block, District Uttarkashi of the Rawain region, located at approximately 30.7892° N latitude and 78.1408° E longitude. This block inhabits villages from the foot-hills (1,300 MSL) to the high-altitude region (2,675 MSL). According to the 2011 Census, Naugaon Block has a total population of 65,668, comprising 33,343 males and 32,325 females, spread across 12,310 households. The workforce in Naugaon Block includes 32,907 individuals, of which 27,725 are classified as main workers engaged for over six months in the year, while 5,182 are recorded as marginal workers, whose employment is more intermittent. A substantial proportion, around 23,762 persons, depend primarily on farming and cultivation as their principal occupation. At the same time, a notable share of the population participates in agricultural activities only seasonally, typically for less than half the year, indicating the firm reliance on agriculture as well as its seasonal limitations in the region. It is a region rich in natural beauty, forest wealth, fertile land, and animal husbandry, and is also known for its religious, pilgrimage, and tourism significance. Traditional cropping systems varied according to land and water availability. Irrigated fields supported paddy and wheat, while unirrigated terraced slopes were used for mixed crops like millets, pulses, and wheat. The residents of the Rawain Valley have undergone a notable shift in land use and cropping patterns. Over the past decade, farmers in the region have increasingly transitioned from cultivating traditional staple crops to growing vegetables on land that was previously dedicated to subsistence cereals. This change reflects an adaptive livelihood strategy designed to enhance income and meet emerging market demands. 2.2 Research Design For the study, 12 villages were selected out of a total of 189 villages in Naugaun Block, using a stratified purposive sampling method. The stratification was based on altitude and livelihood diversity, ensuring equitable representation from three distinct altitudinal zones: four villages were selected from each of the ranges of 1000–1500 m, 1500–2000 m, and above 2000 m. Village selection was guided by criteria such as variation in livelihood patterns, accessibility, and the degree of engagement in traditional and scientific agricultural practices. The research employed an exploratory and analytical approach, utilizing a quantitative research design. For household selection, a proportionate stratified random sampling method was employed. The sample size was distributed using the Proportionate Stratified Random Sampling formula, ensuring proportional representation across the altitudinal zones. In total, 300 farming households were surveyed. The sampling technique involved a combination of purposive and random sampling to capture diversity while maintaining statistical rigor (Bouncken et al., 2025[37]). Data collection was carried out through semi-structured interviews, focus group discussions (FGDs), and field observations. The collected data were analyzed using descriptive statistics, indexing, and correlation analysis, and statistical tests such as the One-Sample t-Test and Pearson Correlation Coefficient were applied. The study was conducted using MS Excel and SPSS Version 31.0.0.0 (117) software tools. Moreover, the Relative Adoption Index (RAI) was calculated (adapted from proportionate index methods commonly used in technology adoption studies) to determine the relative prevalence of IK and SK practices. All research methods were performed in accordance with the Standard Operating Procedures (SOP) of the Ethical Review Board (ERB) for Researches on Humans, Plants & Environment, Hemvati Nandan Bahuguna Garhwal University (A Central University), Srinagar Garhwal, India. The study was approved by the Institutional Ethical Committee for Social Sciences, Humanities, Law and Theology Research under the Ethical Review Board (ERB), and academic approval was granted by the Board of Studies, Department of Rural Technology, Hemvati Nandan Bahuguna Garhwal University. 2.3 Sample Size Calculation: 2.3.1. To determine an appropriate and statistically valid sample size for the household survey, Yamane’s (1967) simplified formula for proportions was applied. The calculated sample is 300 households, with a margin of error (typically 0.05 or 5% for a 95% confidence level). 2.3.2. Sample size for the villages This approach allows for proportionate representation, as mentioned in Table 1 , based on the population density of each village, along with consideration of the respective Gram Panchayat, which serves as the local self-governance body responsible for planning, development, and administrative functions at the village level. The final distribution of the sample size across the villages is presented in the table below: Table 1 Village Stratification and Sample Selection by Altitudinal Range (2011 Census Data) S. No Altitudinal Range Villages Gram Panchayats Total Population Total no. of HH (as per 2011 census) Proportionate Stratified Random Sampling = no. of HH in particular village/Total household of the selected village* sample size 1 1000-1500m 4 4 1540 318 80 2 1500-2000m 4 4 2222 320 80 3 Above 2000 4 4 2,760 562 140 1200 300 3. Results 3.1 Analysis of Farmers’ Adoption of Indigenous and Scientific Agricultural Practices with the One-Sample t-Test Method To assess the relative preference of farmers for indigenous versus scientific agricultural practices, a one-sample t-test was conducted across five major domains: land preparation, weed management, pest management, post-harvest management, and storage practices, as shown in Tables 2 and 3. The analysis was based on farmers’ responses (N = 300) regarding the frequency and perceived relevance of each practice. The test value was set at 0 to determine whether the mean preference scores for selected practices were significantly greater than zero, indicating a favourable preference. Since all p-values < 0.001, the hypothesis (H₀) is rejected in all cases. This means that each practice was significantly preferred to some extent by the farmers. Table 2: Assessment of Prevalent Indigenous Agricultural Practices: Test Values, Frequencies, and Indigenous Knowledge Index (N = 300) S.No Indigenous Agriculture Practices Agricultural Practices (two most relevant) Test Value = 0 Frequency IK Index t n Significance Mean Difference 95% Confidence Interval of the Difference One-Sided p Two-Sided p Lower Upper 1 Land Preparation Manual tilling with hand tools (e.g., hoe, spade) 21.778 299 0 0 0.613 0.56 0.67 186 0.73 Animal-drawn Plough 50.041 299 0 0 0.893 0.86 0.93 270 2 Weed Management Hand-pulling of weeds 27.501 299 0 0 0.717 0.67 0.77 215 0.81 Use of tools like hoes, sickles, or weeders 41.709 299 0 0 0.853 0.81 0.89 258 3 Pest Management Practices Use of neem leaves, oil, or extracts as a natural pesticide 9.717 299 0 0 0.24 0.19 0.29 147 0.46 Application of cow dung or cow urine-based pest repellents 16.725 299 0 0 0.483 0.43 0.54 73 4 Post Harvest Management Practices Sun drying 23.738 299 0 0 0.653 0.6 0.71 239 0.72 Manual threshing and winnowing 33.538 299 0 0 0.79 0.74 0.84 198 5 Traditional Storage Practices Kothar 19.508 299 0 0 0.56 0.5 0.62 170 0.77 Storage in clay pots or earthenware 7.64 299 0 0 0.163 0.12 0.21 49 Source: Primary Data Table 3: Assessment of Prevalent Scientific Agricultural Practices: Test Values, Frequencies, and Scientific Knowledge Index (N = 300) S.No Scientific Agricultural Practices Agricultural Practices (two most relevant) Test Value = 0 Frequency IK Index t df Significance Mean Difference 95% Confidence Interval of the Difference One-Sided p Two-Sided p Lower Upper 1 Scientific Method of Land Preparation Rototillers or power tillers 7.826 299 0 0 0.17 0.13 0.21 51 0.27 Application of chemical fertilizers for soil preparation 14.217 299 0 0 0.403 0.35 0.46 121 2 Weed Management Application of herbicides 10.25 299 0 0 0.26 0.21 0.31 78 0.19 Mechanical tillers or rototillers for weed control 5.87 299 0 0 0.103 0.07 0.14 31 3 Pest Management Practices Chemical pesticides 28.194 299 0 0 0.727 0.68 0.78 219 0.54 Biopesticides (commercial organic products) 6.782 299 0 0 0.133 0.09 0.17 41 4 Post-Harvest Management Practices Refrigeration 9.005 299 0 0 0.213 0.17 0.26 64 0.28 Value addition 12.319 299 0 0 0.337 0.28 0.39 103 5 Traditional Storage Practices Herm et ic storage (e.g., airtight containers, drums) 8.01 299 0 0 0.177 0.13 0.22 53 0.23 Storage in m et al bins 3.53 299 0 0 0.04 0.02 0.06 12 Source: Primary Data The statistical analysis reveals a clear dominance of IK practices across agricultural areas in the Rawain region, as indicated by high average values and strong t-scores (p < 0.001). Commonly used IK methods include animal-drawn ploughs (M = 0.893, t = 50.041), manual tilling (M = 0.613), traditional weeding tools like hoes and sickles (M = 0.853), hand-pulling (M = 0.717), and post-harvest techniques such as manual threshing (M = 0.790) and sun drying (M = 0.653). Traditional storage methods like kothars (traditional granaries) and clay pots also showed a strong preference, with IK indices ranging from 0.72 to 0.81. Scientific Knowledge (SK) practices were less widely adopted but still statistically significant. Chemical pesticides (M = 0.727, t = 28.194) and fertilizers (M = 0.403) were the most commonly used SK practices. In contrast, value addition (M = 0.337), refrigeration (M = 0.213), hermetic storage (M = 0.177), and metal bins (M = 0.040) were used less frequently. Lower SK indices (0.27–0.54) indicate partial integration, limited by access, cost, and farmers’ familiarity with traditional systems. 3.2. Leading Crops Contributing to Household Income Based on field observations and personal interviews with farmers, the study area shows notable crop diversification, with apple emerging as the main income-generating crop (Table 4). In addition to apples, farmers have increasingly adopted hybrid cultivars of other fruits such as pear, pomegranate, plum, peach, and cherry. Similarly, vegetable cultivation, especially of high-value crops like peas and tomatoes, has gained momentum. This shift toward high-yielding hybrid varieties represents a strategic move aimed at increasing household income, reducing market risks, and meeting the growing demand for commercial products. Some of the major varieties preferred and grown by farmers in the study area are listed below. Table 4. List of Crops and their Traditional and Hybrid Varieties S. No Crop Variety Traditional/Hybrid Variety 1 Apple Red Delicious, Royal Delicious, Golden Delicious Red Golden, Golden Delicious Traditional Jeromine, Royal Gala, Gala Maima, Gala SR, KingRoat, Scarlet, Organ Spur, Dark Baran Gala, Red Velox, Golden Spur, Red Chief, Granny Smith, Super Chief, Rootstalk-M9, M11, 106, 111 Hybrid 2 Pear Bergamot, Red Bartlett, Victoria, Packham, Carmen Hybrid 3 Pomegranate Kandhari, Sindhuri Hybrid 4 Plum Black Amber, Red Beauty, Mariposa Hybrid 5 Peach Nectarine, Sharbati Hybrid 6 Cherry Amarea, Ferrovia Hybrid 7 Pea Arkel, VL Matar 3 Hybrid 8 Tomato Abhirang, Himsona, M1313, Naveen 2000, Ansal, Rachita, 13504 Hybrid Source: Primary Data The Table 4 presents the list of the major crops cultivated in the study area, along with their traditional and hybrid varieties. It highlights the predominance of hybrid varieties among fruit crops such as apple, pear, pomegranate, plum, peach, and cherry, as well as vegetable crops like pea and tomato. Traditional varieties are primarily represented in apple cultivation, whereas all listed varieties of other crops are hybrids. This illustrates a clear trend toward the adoption of hybrid varieties, reflecting farmers’ preferences for improved yield, disease resistance, and market value. 3.4 Farmers’ Perspectives on the Risks and Benefits of Crop Diversification 3.4.1. Pearson’s Correlation Coefficient A correlation analysis using Pearson’s coefficients revealed that farmers’ decisions on crop diversification are significantly influenced by perceived risks and benefits (Table 5). The strongest correlation was observed between the risk of crop failure due to unpredictable weather (r = 0.730, p < 0.01) and the benefit of enhanced farm income (r = 0.718, p < 0.01), indicating that despite climate risks, diversification is viewed as a strategy to boost household income. Market price fluctuations (r = 0.450) and the benefit of reduced economic risk from multiple income sources (r = 0.398) also showed significant correlations, supporting diversification as a financial risk management strategy. Other notable associations included pest/disease susceptibility (r = 0.275) paired with improved household nutrition (r = 0.370), as well as concerns about soil degradation (r = 0.199) alongside cultural crop conservation benefits (r = 0.134), all of which were statistically significant. While resource competition showed no significant correlation (r = 0.079), the related benefit of climate resilience was mildly significant (r = 0.130, p < 0.05). The weakest and non-significant correlations were seen for the difficulty of managing diverse crops (r = 0.061) and improved soil health (r = 0.091), indicating minimal influence on diversification decisions. Overall, the findings suggest that farmers prioritize income, nutrition, and resilience over management complexity or ecological risks when considering diversification. Table 5: Correlation of Farmers’ Perceived Risks and Benefits Associated with Crop Diversification S. No Crop Diversification Risk Risk Correlation Coefficient Crop Diversification Benefit Benefit Correlation Coefficient 1 Higher chances of crop failure due to unpredictable weather 0.730 ** Enhanced farm income 0.718 ** 2 Market price fluctuations 0.450 ** Reduced economic risks due to multiple income sources 0.398 ** 3 Increased susceptibility to pests and diseases 0.275 ** Improved nutritional diversity in households 0.370 ** 4 Soil degradation 0.199 ** Enhanced cultural and traditional crop conservation 0.134 * 5 Competition between crops for resources 0.079 Increased resilience to climate change impacts 0.130 * 6 Difficulty in managing multiple crops 0.061 Improved soil health 0.091 p < 0.01 marked as ** (Correlation is significant at the 0.01 level, 1-tailed). p < 0.05 marked as * (Correlation is significant at the 0.05 level, 1-tailed). Source: Primary Data 3.4.2. Relationship Between Crop Diversification and its Risk–Benefit Perceptions Table 6 illustrates the alignment between risk–benefit awareness and selective IK–SK adoption, highlighting a pragmatic and dynamic knowledge ecosystem among farming communities in the study region. The table below presents a synthesis of key crop diversification indicators alongside the benefits and risks perceived by farmers. It highlights key crop diversification strategies, demonstrating that they offer multiple benefits, including enhanced income, improved nutrition, cultural conservation, climate resilience, and better soil health. However, each practice also carries associated risks, including weather-induced crop failure, market price volatility, pest outbreaks, soil degradation, resource competition, and management challenges. Overall, while diversification strengthens farming systems, it demands careful planning and higher management efforts to balance benefits with potential risks. Table 6. Crop Diversification Indicators and Their Correlation with Farmers’ Perceived Benefits and Risks S. No Crop Diversification Indicator Linked Benefit Linked Risk Explanation 1 Growing multiple crops in the same season Enhanced farm income Higher chances of crop failure due to unpredictable weather While diversification increases income opportunities, farmers are also concerned about the potential for simultaneous failure due to extreme or erratic weather. 2 Inclusion of high-value or off-season crops Reduced economic risks due to multiple income sources Market price fluctuations Farmers diversify to reduce dependence on a single crop market, but fear price volatility in diversified crops can still impact returns. 3 Cultivating horticultural and food crops together Improved nutritional diversity in households Increased susceptibility to pests and diseases Crop diversity ensures better dietary outcomes, yet farmers report greater pest incidence due to varied host plants. 4 Revival of local or traditional crop varieties Enhanced cultural and traditional crop conservation Soil degradation Traditional varieties help preserve agro-biodiversity, but continuous use without rotation may lead to soil nutrient depletion if not managed properly. 5 Intercropping and mixed cropping systems Increased resilience to climate change impacts Competition between crops for resources Intercropping buffers against climatic risk but may cause resource competition (e.g., light, water, nutrients) between component crops. 6 Managing diverse crops across small fragmented landholdings Improved soil health Difficulty in managing multiple crops Crop rotation and diversity can enhance soil fertility, though managing different crop needs simultaneously is labour and knowledge-intensive. 4. Discussion Indigenous Technical Knowledge constitutes a fundamental basis for decision-making in rural agriculture, providing eco-friendly, cost-effective, and sustainable solutions, particularly for smallholder and marginal farmers (Tyagi et al., 2018[38]; Shenoy, 2019[39]; Barman et al., 2022[40]; Shareya et al., 2025[41]). Rooted in generations of empirical observation and local adaptation, these knowledge systems are ecosystem-based, time-tested, and support both agricultural and aquacultural innovation (Warren and Cashman, 1988[42]; Melash et al., 2023[43]; Tameshwar et al., 2021[44]). Traditional practices, such as seed conservation, organic soil fertility management, and indigenous pest control demonstrate efficacy and sustainability, especially when synergistically integrated with modern technologies, including high-yield seed varieties, synthetic fertilizers, and advanced irrigation methods. This hybridization results in enhanced agricultural productivity while simultaneously preserving biodiversity and maintaining soil health (Adedokun, 2024[45]; Adefila et al., 2024[46]; Kumar et al., 2025[27]; Modi, 2025[47]). The present study reveals a complex interaction between Indigenous and Scientific Knowledge in shaping agricultural strategies within the Rawain region. Such integrative approaches not only sustain ecological diversity and improve climate change resilience, but also reinforce community identity and empower local stakeholders (Wilder et al., 2016[48]; Makondo & Thomas, 2018[49]; VijayKumar, 2019[50]; Gautam, 2019[51]; Adefila et al., 2024[46]). Across most agricultural domains, indigenous knowledge remains dominant, emphasizing its deep cultural roots and enduring practical relevance in regions with limited access to modern farming technologies (Nyong et al., 2007[52]; Mugwisi et al., 2012[53]; File & Nhamo, 2023[54]; Nur Sohad and Mafrolla., 2025[55]; and Praveenkumar, 2025[56]). The persistence of these traditional methods highlights their cost-effectiveness, ecological compatibility, and strong alignment with local environmental understanding. Such features reinforce IK as an adaptive and resilient system (Altieri, 2018[57]; Berkes et al., 2000[58]; Esmail et al., 2023[59]; and Gemechis et al., 2025[60]). This reliance on indigenous practices is especially pronounced among smallholder farmers, who frequently prioritize IK over expensive mechanization due to its suitability for local agroecological challenges (Biggs et al., 2011[61]; Olawuyi et al., 2024[62]; and Madsen et al,2025[63]). However, it is important to recognize that modernization has significantly transformed farming systems worldwide, including in the study area. Traditional agriculture, marked by the use of organic fertilizers, simple tools, and inherited knowledge contrasts with modern agriculture, which increasingly involves mechanization, advanced tools, and scientific inputs (Princy, 2022[64]; Gamage et al., 2024[13]; Bai et al., 2024[33]; Khumalo et al., 2025[65]). In the Rawain region, this distinction is evident. Farmers continue to apply traditional methods for land preparation and soil fertility, while also adopting innovations such as hybrid seeds, modern pest control, and market-oriented production strategies (Kala, 2014[66]). The coexistence of these approaches illustrates a gradual but purposeful transition from subsistence-based farming toward commercially viable, knowledge-integrated systems (Govender, 2019[67]; and Andrieu.et al.,2022[68]). This hybridization not only enhances productivity but also reflects broader global trends toward sustainable and context-sensitive agricultural development (Catalogna et al., 2018[69]; Aare et al., 2021[70]; and Prost et al., 2023[71]). The preference for IK extends prominently to land preparation, where animal-drawn ploughs and manual tilling with hand tools are favoured for their affordability, adaptability to rugged terrain, and alignment with farmers’ existing skills (Bajaracharya, 2001[72]; Dixit et al., 2014[73]; Lepcha et al., 2017[74]; Singh, 2019[75]; Ageze et al., 2024[76]). Similarly, weed control remains largely traditional, with manual methods like hoeing and hand-pulling dominating due to their low cost, accessibility, and cultural familiarity (Sims et al., 2018[77]; Blanco-Sepúlveda et al., 2021[78]; Woyessa, 2022[79]; Islam et al.,2024[80]). While some farmers acknowledge the benefits of herbicides, adoption remains limited by financial constraints, lack of technical know-how, and concerns over health and soil impacts (Laizer et al., 2019[81]; Aluko & Adelakun, 2024[82]). These trends highlight how socio-economic and ecological factors shape farmers’ reliance on IK, even as they cautiously explore SK alternatives. Post-harvest practices further emphasize the enduring role of IK, with manual threshing, winnowing, and sun-drying remaining dominant due to their economic viability, resource availability, and generational familiarity (Arjjumend, 2004[83]; Negi & Solanki, 2014[84]; Swamy & Wesley, 2020[85]; Stathers et al., 2025[86]). Storage methods also lean heavily toward indigenous techniques, such as the use of Kothar and clay pots, which are valued for their climate adaptability, cultural significance, and sustainability (Swangla et al., 2021[87]; Karthikeyan et al., 2009[88]; Bisheko et al., 2023[89]; Vaidheki et al., 2024[90]). These practices demonstrate that post-harvest solutions are most effective when they build upon existing indigenous systems, thereby ensuring cultural relevance and grassroots accessibility (Adewoyin et al., 2022[91]; Jarman et al., 2023[92]; Kom et al., 2024[93]; and Pandey et al., 2025[94]). However, pest management demonstrates a more balanced integration of Indigenous IK and SK, reflecting farmers’ rational blending of both systems. While chemical pesticides are commonly used, traditional methods, such as cow dung, cow urine-based repellents, and neem-based solutions remain relevant (Chandola et al., 2011[95]; Divya et al., 2025[96]). This hybrid approach signals an increasing recognition of the value in combining local wisdom with modern solutions, particularly in response to challenges such as pest resistance and the need for effective extension services. The effectiveness of Integrated Pest Management (IPM) in these contexts illustrates how cultural knowledge and scientific tools can collaborate to promote sustainability (Angon et al., 2023[97]; Zhou et al., 2024[98]). Nevertheless, the increasing use of chemical pesticides suggests a gradual shift toward SK, driven by the urgency to protect vulnerable crops (Pretty et al., 2006[99]; Mehla, 2023[100]). Rather than being in conflict, IK and SK function as complementary systems, where indigenous practices offer a foundational, low-cost, and ecologically sustainable framework, while scientific interventions are adopted where they provide clear benefits (Ijatuyi et al., 2025[101]). This integrated approach, rooted in cultural sensitivity and adaptability, holds great promise for fostering resilient and sustainable farming systems (Adefila et al., 2024[46]; Limpo et al., 2022[102]; Dorji et al., 2024[103]; and Olarewaju et al., 2025[104]). Additionally, the adoption of modern agricultural practices is evident in farmers’ growing use of hybrid crop varieties across the Rawain region. As shown in Table 4 , most fruit and vegetable cultivation now depends on high-yielding hybrids, with only a few traditional apple varieties, such as Red Delicious, Royal Delicious, and Golden Delicious still maintained to a limited extent. This transition reflects a preference for uniform, market-responsive cultivars supported by formal seed systems and influenced by shifting market demands (Tripp, 2001[105]; FAO, 2010[106]; Kala, 2014[66]; Aoun, 2024[107]; Morariu et al., 2025[108]). Climatic pressures, such as warmer winters and declining chilling hours that threaten traditional apple yields, further accelerate the adoption of low-chill hybrid varieties (Sen et al., 2015[109]; Hartta, 2014[110]; González Noguer, 2023[111]). While these changes address both economic and agroecological needs, they raise concerns about the loss of traditional agro-biodiversity, as hybrid seed systems increasingly replace locally adapted landraces (Padulosi et al., 2013[112]). Balancing the benefits of high-yielding hybrids with the preservation of resilient indigenous germplasm remains a central challenge for long-term sustainability. It is also observed that farmers in the Rawain region perceive crop diversification as a preferable choice, offering both substantial benefits and notable risks. Strong positive correlations exist between diversification and enhanced income, economic stability, and nutritional improvement; yet, farmers also acknowledge significant challenges, such as weather unpredictability, pest pressure, and market volatility (Kulkarni, 2021[113]; Kumar & Gautam, 2014[114]). Crop diversification reduces the risk of total crop failure and ensures alternative income sources, as different crops respond differently to changing climatic conditions (Khanam et al., 2018[115]; Piedra-Bonilla et al., 2025[116]). Farmers pursue crop diversification to mitigate reliance on a single crop market, however, they remain concerned that price fluctuations across diversified crops may still pose risks to overall farm income stability (NTAMACK, 2020[117]; Abro and Panhwar, 2020[118]; Assouto et al., 2020[119]; Barman et al., 2022[120]; and Antonelli et al., 2022[121]; and Mihrete and Mihretu,2025[23]). However, Traditional crop varieties play a crucial role in conserving agro-biodiversity (Bisht et al., 2007[122]; Nishad et al., 2020[123]; Bai et al., 2024[33]; and Hailu, 2025[124]). But, when cultivated continuously without crop rotation, they can contribute to soil nutrient depletion and declining soil quality (Kartini et al., 2024[125]; Derpsch et al., 2024[126]; and Țopa et al., 2025[127]). Climate change exacerbates these risks, particularly for traditional apple varieties in Uttarakhand’s lower hills, where declining winter chilling hours are reducing yields. This has spurred the adoption of low-chill, early-maturing hybrids as climate-resilient alternatives (Nautiyal et al., 2020[128]; Negi & Kandpal, 2023[129]). Market price fluctuations emerge as another critical risk, prompting farmers to adopt strategies like mixed farming, livestock integration, and non-farm employment to stabilize incomes (Chand, 2022[130]; Joshi et al., 2004[17]). Diversification into high-value horticultural crops has significantly improved household nutritional diversity (Sibhatu et al., 2015[131]; Mastura et al., 2023[132]), although it has also heightened pest and disease incidence (Singh et al., 2020[133]; Barman et al., 2022[40]). While crop diversification can enhance dietary quality and nutritional outcomes, farmers frequently report increased pest attacks due to the presence of multiple host plants (Pitt et al., 2024[134]; Zhang et al., 2025[135]). Although diversification can disrupt pest cycles and promote soil health, its effectiveness depends on specific crop-pest interactions and local agroecological conditions (Khan et al., 2012[136]; Lenné & Wood, 2024[137]). Despite these complexities, farmers pragmatically balance tradition and innovation. They recognize soil degradation risks yet continue heritage practices such as crop rotation, intercropping, and organic manure (Despotović et al., 2021[138]; Naazie et al., 2023[139]). Moreover, intercropping helps mitigate climatic risks by diversifying production, but it can increase intra- and interspecific competition for light, water, and nutrients, potentially impacting crop growth and yield (Burgess, A.J. et al., 2022[140]; Li, C. et al., 2023[141]; MacLaren, C. et al., 2023[142]; Moreira, B. et al., 2024[143]). Crop rotation and diversification boost soil fertility and ecological resilience, although their effective management requires considerable labour and expertise to address the distinct growth and nutrient needs of each crop (Bowles et al., 2020[144]; Liu et al., 2022[145]; Zou et al., 2024[146]). While improved soil health is seldom the primary motivation, diversification supports long-term resilience by buffering against climate shocks and stabilising yields (Lin, 2011[147]; Sharma et al., 2024[148]). However, short-term economic pressures often dominate, with farmers prioritising adaptive measures like adjusted sowing dates and crop insurance over long-term sustainability (Khatri-Chhetri et al., 2017[149]; Biswal & Bahinipati, 2025[150]). Therefore, this hybrid approach, which combines traditional knowledge with selective scientific adoption, reflects an adaptive response to climatic and market pressures (Chhetri et al., 2012[151]; Ijatuyi et al., 2025[101]). Strengthening agrarian resilience thus requires integrating indigenous systems (e.g., Barahnaja, community seed banks) with context-appropriate innovations, ensuring food security and climate adaptation while preserving cultural and ecological balance (Tharakan, 2017[152]; Lin, 2011[147]; Ijatuyi et al., 2025[101]). 5. Conclusions Despite growing recognition of IK in sustainable agriculture, research on the integrated adoption of IK and SK in marginal mountain environments remains sparse. Studies frequently treat these systems separately, neglecting their potential synergies, trade-offs, and impacts on sustainability, knowledge transmission, and agrobiodiversity. Socioeconomic, cultural, and perceptual factors influencing farmers’ choices are understudied, and policy frameworks often lack mechanisms for validating and mainstreaming hybrid practices. The long-term socioecological and economic consequences of such integration, especially under climate change, remain unclear. To address these gaps, future research should prioritize longitudinal and cross-regional studies on the outcomes of hybrid IK–SK systems, focusing on resilience and agrobiodiversity. Investigating the behavioral, gendered, and intergenerational aspects of knowledge transmission, as well as developing participatory research frameworks, will support the co-creation and contextual validation of sustainable practices. Assessing the effectiveness of policies and extension services, and evaluating economic impacts under diverse conditions, are essential for scaling successful integrations. The present study of the Rawain region highlights that while Indigenous Knowledge remains central, farmers are increasingly incorporating scientific methods such as hybrid crops and modern pest management demonstrating adaptive strategies in response to changing needs. Crop diversification, particularly with high-value hybrids like apples, peas, and tomatoes, has emerged as both a risk and an opportunity for enhanced resilience and income. This pattern, observable beyond Rawain, underscores the global relevance of integrative approaches in mountain agriculture. Therefore, policymakers should promote integrative policies that value local knowledge, facilitate sustainable crop diversification, and strengthen market linkages. Practitioners are encouraged to foster participatory learning and blend traditional and modern practices. Institutionalizing the documentation of local knowledge will ensure its continued utility as agriculture evolves. By implementing these measures, mountain regions worldwide can advance toward resilient, adaptive, and market-responsive agricultural systems. Abbreviations The following abbreviations are used in this manuscript: IK Indigenous Knowledge SK Scientific Knowledge IK Index Indigenous Knowledge Index SK Index Scientific Knowledge Index RAI Relative Adoption Index FGD Focus Group Discussion SPSS Statistical Package for the Social Sciences MSL Mean Sea Level R&D Research and Development IPM Integrated Pest Management MS Excel Microsoft Excel HH Household t-test Student’s t-Test p-value Probability Value r Pearson’s Correlation Coefficient SDG Sustainable Development Goal FAO Food and Agriculture Organization HHs Households UCOST-DST Uttarakhand State Council for Science and Technology – Department of Science and Technology Declarations Ethics approval and consent to participate No detailed descriptions or images of individual participants were collected or used in this study. All information was fully anonymized, therefore, consent for publication was not required. Informed verbal consent to participate was obtained from all participants. Consent for publication The authors have approved the content of this manuscript, and the manuscript is submitted for publication in the Journal of Discover Agriculture. Competing interests The authors declare no competing interests. Funding: The research received funding support from Uttarakhand State Council for Science and Technology (UCOST), Department of Science and Technology, Government of Uttarakhand, under the Research and Development (R&D) project. Author Contribution Conceptualization, P.R. and R.S.N.; Methodology, P.R.; A.K.N; software, P.R. and S.S.; validation, R.S.N., A.K.N. and S.S.; formal analysis, P.R.; investigation, P.R. and S.S.; Resources, R.S.N.; data curation, P.R.; writing—original draft preparation, P.R.; writing—review and editing, P.R., R.S.N., A.K.N. and S.S.; visualization, P.R.; supervision, A.K.N; R.S.N and S.S..; project administration, R.S.N.; funding acquisition, R.S.N and A.K.N. All authors have read and agreed to the published version of the manuscript. Acknowledgement The authors express their sincere gratitude to the Hon’ble Vice-Chancellor of Hemvati Nandan Bahuguna Garhwal University and Uttarakhand for his support and encouragement and Uttarakhand State Council for Science and Technology (UCOST), Department of Science and Technology, Government of Uttarakhand, for providing financial support through the Research and Development (R&D) project. The authors gratefully acknowledge the cooperation, knowledge sharing, and active participation of the local community from the research area for their significant contribution for the success of this study. Data Availability The datasets generated and/or analyzed in this study were collected by the authors as part of their Ph.D. research. References Negi, C. S. (2010). Traditional culture and biodiversity conservation: Examples from Uttarakhand, Central Himalaya. Mountain Research and Development, 30(3), 259–265. https://doi.org/10.1659/MRD-JOURNAL-D-09-00040.1 Senanayake, S. G. J. N. (2006). Indigenous knowledge as a key to sustainable development. https://doi.org/10.4038/jas.v2i1.8117 Mahalik, P. R., & Mahapatra, R. K. (2010). Documenting indigenous traditional knowledge in Odisha. Orissa Review, 100–115. https://magazines.odisha.gov.in/Orissareview/2010/May-June/engpdf/99-103.pdf Ardakani, M.A., Shah Vali, M. (2000); Principles, concepts and studies of indigenous knowledge, agriculture, Village and Development Series publications, No. 34. https://doi.org/10.22215/etd/2014-10134 El Mahdy, Q. M. (2021). The role of scientific research in the field of agricultural development. International Journal of Modern Agriculture and Environment, 1(1), 22–37. https://doi.org/10.21608/ijmae.2023.214946.1009 Ahmed, B., Shabbir, H., Naqvi, S. R., & Peng, L. (2024). Smart Agriculture: Current State, Opportunities and Challenges. IEEE Access. https://doi.org/10.1109/ACCESS.2024.3471647 Adewuyi, A. Y., Anyibama, B., Adebayo, K. B., Kalinzi, J. M., Adeniyi, S. A., & Wada, I. (2024). Precision agriculture: Leveraging data science for sustainable farming. International Journal of Scientific Research Archive, 12(2), 1122–1129. https://doi.org/10.30574/ijsra.2024.12.2.1371 Huang, W., & Wang, X. (2024). The Impact of Technological Innovations on Agricultural Productivity and Environmental Sustainability in China. Sustainability, 16(19), 8480. https://doi.org/10.3390/su16198480 Roy, M., & Medhekar, A. (2025). Transforming smart farming for sustainability through agri-tech innovations: Insights from the Australian agricultural landscape. Farming System, 3(4), 100165. https://doi.org/10.1016/j.farsys.2025.100165 Jeffery, S., & Gardi, C. (2010). Identifying potential threats to soil biodiversity. PMC. Retrieved from https://pmc.ncbi.nlm.nih.gov/articles/PMC7295018/ Tibbett, M., Fraser, T. D., & Duddigan, S. (2020). Identifying potential threats to soil biodiversity. PeerJ, 8, e9271. https://doi.org/10.7717/peerj.9271 Gupta, S. S., Misra, S., & Ghosh, A. (2024). Biodiversity: goal and driver of agricultural sustainability. In Biodiversity and Bioeconomy (pp. 143–164). Elsevier. https://doi.org/10.1016/B978-0-323-95482-2.00007-9 Gamage, A., Gangahagedara, R., Subasinghe, S., Gamage, J., Guruge, C., Senaratne, S., Randika, T., Rathnayake, C., Hameed, Z., Madhujith, T., & Merah, O. (2024). Advancing sustainability: The impact of emerging technologies in agriculture. Current Plant Biology, 40, Article 100420. https://doi.org/10.1016/j.cpb.2024.100420 Folina, A., Kakabouki, I., Baginetas, K., & Bilalis, D. (2025). Integration of Bioresources for Sustainable Development in Organic Farming: A Comprehensive Review. Resources, 14(7), 102. https://doi.org/10.3390/resources14070102 Habib, M., Singh, S., Jan, S., Jan, K., & Bashir, K. (2025). The future of the future foods: Understandings from the past towards SDG-2. NPJ Science of Food, 9(1), Article 138. https://doi.org/10.1038/s41538-025-00484-x Rao, P. P., Birthal, P. S., Joshi, P. K., & Kar, D. (2004). Agricultural diversification in India and role of urbanization. https://doi.org/10.22004/ag.econ.60454 Joshi, P. K., Gulati, A., Birthal, P. S., & Tewari, L. (2004). Agriculture diversification in South Asia: patterns, determinants and policy implications. Economic and political weekly, 2457–2467. https://doi.org/10.2307/4415148 Birthal, P. S., Joshi, P. K., Roy, D., & Thorat, A. (2013). Diversification in Indian agriculture toward high-value crops: The role of small farmers. Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, 61(1), 61–91. https://doi.org/10.1111/j.1744-7976.2012.01258.x Basantaray, A. K., Paltasingh, K. R., & Birthal, P. S. (2022). Crop Diversification, Agricultural Transition and Farm Income Growth: Evidence from Eastern India. Italian Review of Agricultural Economics (REA), 77(3), 55–65. https://doi.org/10.36253/rea-13796%0A Jackson, T. M., Nandi, R., Jannat, A., Ghosh, A., Hajra, D. K., Mitra, B., Rashid, M. M., Bista, S., Chaudhary, A., Timsina, P., Karki, E., Chakma, K. R., Rana, G., & Kishore, A. (2025). Patterns of livelihood diversification in farming systems of the Eastern Gangetic Plains. Agricultural Systems, 227, 104346. https://doi.org/10.1016/j.agsy.2025.104346 Kumari, R. (2025). Agricultural diversification and its impact on farm income: Evidence from North Bihar. In P. Kulkarni & S. Sharma (Eds.), Proceedings of the IBA IEA Conference on Economics and Public Policy (Ecofluence 2024), Advances in Economics, Business and Management Research (Vol. 335). Indus Business Academy. https://doi.org/10.2991/978-94-6463-766-3_10 Ferry, M., & de Montalembert, J. (2025). Mitigating climate vulnerability: The crop diversification effect. Ecological Economics, 233, 108568. https://doi.org/10.1016/j.ecolecon.2025.108568 Mihrete, T. B., & Mihretu, F. B. (2025). Crop diversification for ensuring sustainable agriculture, risk management and food security. Global Challenges, 9(2), Article e2400267. https://doi.org/10.1002/gch2.202400267 Birthal, P. S., Hazrana, J., & Negi, D. S. (2020). Diversification in Indian agriculture towards high value crops: Multilevel determinants and policy implications. Land Use Policy, 91, 104427. https://doi.org/10.1016/j.landusepol.2019.104427 Neogi, S., & Ghosh, B. K. (2022). Evaluation of crop diversification on Indian farming practices: A panel regression approach. Sustainability, 14(24), 16861. https://doi.org/10.3390/su142416861 Dev, S. M. (2018). Transformation of Indian agriculture? Growth, inclusiveness and sustainability (Working Paper WP-2018-026). Indira Gandhi Institute of Development Research. https://www.igidr.ac.in/pdf/publication/WP-2018-026.pdf Kumar, B., Mishra, V., & Pandey, M. (2025). Revival of indigenous knowledge and organic practices in Indian horticulture for sustainable development. IOSR Journal of Biotechnology and Biochemistry, 11(1, Series 1), 30–38. https://doi.org/10.9790/264X-1101013038 Press Information Bureau. (2025, January 31). India’s agriculture sector demonstrates resilience, average growth rate of 5 per cent during FY17 to FY23: Economic Survey [Press release]. Ministry of Finance, Government of India. https://pib.gov.in/PressReleasePage.aspx?PRID=2097886 Šūmane, S., Kunda, I., Knickel, K., Strauss, A., Tisenkopfs, T., des Ios Rios, I., ... & Ashkenazy, A. (2018). Local and farmers' knowledge matters! How integrating informal and formal knowledge enhances sustainable and resilient agriculture. Journal of Rural Studies, 59, 232–241. https://doi.org/10.1016/j.jrurstud.2017.01.020 Yanou, M. P., Ros-Tonen, M. A., Reed, J., Moombe, K., & Sunderland, T. (2023). Integrating local and scientific knowledge: The need for decolonising knowledge for conservation and natural resource management. Heliyon, 9(11). https://doi.org/10.1016/j.heliyon.2023.e21785 Reckling, M., Watson, C. A., Whitbread, A., & Helming, K. (2023). Diversification for sustainable and resilient agricultural landscape systems. Agronomy for Sustainable Development, 43(4), 44. https://dx.doi.org/10.1007/s13593-023-00898-5 Shaffril, H. A. M., Samah, A. A., Samsuddin, S. F., Ahmad, N., Tangang, F., Sidique, S. F. A., ... & Khalid, N. A. (2024). Diversification of agriculture practices as a response to climate change impacts among farmers in low-income countries: A systematic literature review. Climate Services, 35, 100508. https://doi.org/10.1016/j.cliser.2024.100508 Bai, Y., Li, X., Feng, Y., Liu, M., & Chen, C. (2024). Preserving traditional systems: Identification of agricultural heritage areas based on agro-biodiversity. Plants, People, Planet, 6(3), 670–682. https://doi.org/10.1002/ppp3.10479 Pandey, R., Aretano, R., Gupta, A. K., Meena, D., Kumar, B., & Alatalo, J. M. (2017). Agroecology as a climate change adaptation strategy for smallholders of Tehri-Garhwal in the Indian Himalayan region. Small-scale forestry, 16(1), 53–63. https://doi.org/10.1007/s11842-016-9342-1 Roy, A., & Kumar, U. (2018). Emerging farming systems in Western Himalaya: a state level analysis of sustainability. Int J Environ Sci Nat Resour, 9(2), 555757. http://dx.doi.org/10.19080/IJESNR.2018.09.555757 Kumar, P., Sharma, P. K., Kumar, P., Sharma, M., & Butail, N. P. (2021). Agricultural sustainability in Indian Himalayan region: Constraints and potentials. Indian J Ecol, 48(3), 649–662. https://www.researchgate.net/profile/Praveen-Kumar-118/publication/352977371_Agricultural_Sustainability_in_Indian_Himalayan_Region_Constraints_and_Potentials/links/60e17e58a6fdccb74503a7f6/Agricultural-Sustainability-in-Indian-Himalayan-Region-Constraints-and-Potentials.pdf Bouncken, R. B., Czakon, W., & Schmitt, F. (2025). Purposeful sampling and saturation in qualitative research methodologies: Recommendations and review. Review of Management Science. https://doi.org/10.1007/s11846-025-00881-2 Tyagi, S., Singh, M. K., Singh, B. D., & Kumar, S. (2018). Conservation and management of indigenous technical knowledge for livelihood upliftment of small and marginal farmers in rural areas. International Journal of Inclusive Development, 4(2), 53–58. https://ndpublisher.in/admin/issues/IJIDv4n2e.pdf Shenoy, N. S. (2019). Indigenous technical knowledge and its relevance for sustainability. In K. Kareemulla & S. Ravichandran (Eds.), Foundation Course for Agricultural Research Service (FoCARS) Course Material. ICAR–National Academy of Agricultural Research Management (NAARM), Hyderabad, India. http://aiasa.org.in/wp-content/uploads/2015/07/NARS-India.pdf#page=544 Barman, A., Saha, P., Patel, S., & Bera, A. (2022). Crop diversification an effective strategy for sustainable agriculture development. Sustainable crop production-recent advances. https://doi.org/10.5772/intechopen.102635 Shareya, S., Sharma, D. D., & Samridhi, S. (2024). Relevance of indigenous technical knowledge in agriculture: Challenges and opportunities. International Journal of Research Publication and Reviews, 5(3), 6434–6437. https://ijrpr.com/uploads/V5ISSUE3/IJRPR24242.pdf Warren, D. and Cashman, K. (1988). Indigenous Knowledge for Sustainable Agriculture and Rural Development. Available at https://www.iied.org/x101iied Melash, A. A., Bogale, A. A., Migbaru, A. T., Chakilu, G. G., Percze, A., Ábrahám, É. B., & Mengistu, D. K. (2023). Indigenous agricultural knowledge: A neglected human-based resource for sustainable crop protection and production. Heliyon, 9(1). https://doi.org/10.1016/j.heliyon.2023.e12978 Tameshwar, J., Jangde, J., & Jaiswal, B. (2021). Role of indigenous technical knowledge (ITK) in aquaculture. International Journal of Agriculture, Environment and Biotechnology, 3(12), 1–8. https://agriallis.com/wp-content/uploads/2021/12/ROLE-OF-INDIGENOUS-TECHNICAL-KNOWLEDGE-ITK-IN-AQUACULTURE.pdf Adedokun, T. (2024). Integration of indigenous knowledge and modern practices in upland rice cultivation. Retrieved from https://www.researchgate.net/publication/386985889_Integration_of_Indigenous_Knowledge_and_Modern_Practices_in_Upland_Rice_Cultivation Adefila, A. O., Ajayi, O. O., Toromade, A. S., & Sam-Bulya, N. J. (2024). Integrating traditional knowledge with modern agricultural practices: A sociocultural framework for sustainable development. World Journal of Biology Pharmacy and Health Sciences, 20(02), 125–135. https://doi.org/10.30574/wjbphs.2024.20.2.0850 Modi, L. D. (2025). Sustainable farming practices in North Eastern India: A case study of Arunachal Pradesh. Journal of Emerging Technologies and Innovative Research, 12(5), 28–40. https://www.jetir.org/papers/JETIR2505596.pdf Wilder, B. T., O’meara, C., Monti, L., &Nabhan, G. P. (2016). The importance of indigenous knowledge in curbing the loss of language and biodiversity. BioScience, 66(6), 499–509. https://doi.org/10.1093/biosci/biw026 Makondo, C. C., & Thomas, D. S. (2018). Climate change adaptation: Linking indigenous knowledge with western science for effective adaptation. Environmental science & policy, 88, 83–91. https://doi.org/10.1016/j.envsci.2018.06.014 VijayKumar, R. (2019). Integrating indigenous knowledge and traditional practices for biodiversity conservation in a modern world. Environmental Reports. https://doi.org/10.51470/ER.2019.1.2.04 Gautam, S. K. (2019). The role of indigenous knowledge in biodiversity conservation: Integrating traditional practices with modern environmental approaches. Environmental Reports: An International Journal, 1(2), 1–3. https://doi.org/10.51470/ER.2019.1.2.01 Nyong, A., Adesina, F., & Osman Elasha, B. (2007). The value of indigenous knowledge in climate change mitigation and adaptation strategies in the African Sahel. Mitigation and Adaptation strategies for global Change, 12(5), 787–797. https://doi.org/10.1007/s11027-007-9099-0 Mugwisi, T., Ocholla, D., & Mostert, J. (2012). Is indigenous knowledge accessed and used by agricultural researchers and extension workers in Zimbabwe?. Innovation: journal of appropriate librarianship and information work in Southern Africa, 2012(44), 101–125. https://hdl.handle.net/10520/EJC127159 File, D. J. M. B., & Nhamo, G. (2023). Farmers’ choice for indigenous practices and implications for climate-smart agriculture in northern Ghana. Heliyon, 9(11). https://doi.org/10.1016/j.heliyon.2023.e22162 Nur Sohad, M. K., & Mafrolla, E. (2025). Bridging science and society: The integration of indigenous and scientific knowledge management. Journal of Knowledge Management, 29(7), 2258–2284. https://doi.org/10.1108/JKM-11-2024-1326 Praveenkumar, C., Saravanan, S., & Pradeep, S. (2025). Indigenous Knowledge (IK) for Agriculture. In Encyclopedia of Disaster Risk Reduction (pp. 1–9). Singapore: Springer Nature Singapore. Altieri, M. A. (2018). Agroecology: the science of sustainable agriculture. CrC press. https://doi.org/10.1201/9780429495465?urlappend=%3Futm_source%3Dresearchgate Berkes, F., Colding, J., & Folke, C. (2000). Rediscovery of traditional ecological knowledge as adaptive management. Ecological applications, 10(5), 1251–1262. https://doi.org/10.1890/1051-0761(2000)010[1251:ROTEKA]2.0.CO;2 Esmail, N., McPherson, J. M., Abulu, L., Amend, T., Amit, R., Bhatia, S., Bikaba, D., Brichieri-Colombi, T. A., Brown, J., Buschman, V., Fabinyi, M., Farhadinia, M., Ghayoumi, R., Hay-Edie, T., Horigue, V., Jungblut, V., Jupiter, S., Keane, A., Macdonald, D. W., Mahajan, S. L., … Wintle, B. (2023). What’s on the horizon for community-based conservation? Emerging threats and opportunities. Trends in Ecology & Evolution, 38(7), 666–680. https://doi.org/10.1016/j.tree.2023.02.008 Gemechis, B. M., Bedadi, B., Dalle, G., & Tassie, N. (2025). Nature-based solutions for urban climate resilience: Implementation, contribution, and effectiveness. Nature-Based Solutions, 8, 100245. https://doi.org/10.1016/j.nbsj.2025.100245 Biggs, S., Justice, S., & Lewis, D. (2011). Patterns of rural mechanisation, energy and employment in South Asia: reopening the debate. Economic and Political Weekly, 78–82. https://www.jstor.org/stable/41151843 Olawuyi, S. O., Ijila, O. J., Adegbite, A., Olawuyi, T. D., & Farayola, C. O. (2024). Smallholder farmers' use of indigenous knowledge practices in agri-food systems: Contribution of food security attainment drive. Research on World Agricultural Economy, 5(2), 45–67. https://doi.org/10.36956/rwae.v5i2.1056 Madsen, S., Laske, E., Fisher, J., Ndiereby Sall, A., Enloe, S., & Bezner Kerr, R. (2025). What good is agroecology? Predominant narratives about agroecology in Africa. Journal of Rural Studies, 118, Article 103706. https://doi.org/10.1016/j.jrurstud.2025.103706 Princy, D. (2022). A comparative study of modern and traditional agricultural system in India. International Journal of Novel Research and Development, 7(8), 321–324. https://ijnrd.org/viewpaperforall.php?paper=IJNRD2208088#:~:text=%3A-,http%3A//doi.one/10.1729/Journal.31300,-Authors Khumalo, T. A., Chakale, M. V., Asong, J. A., Aremu, A. O., & Amoo, S. O. (2025). Indigenous farming methods and crop management practices used by local farmers in Madibeng local municipality, South Africa. Scientific Reports. https://doi.org/10.1038/s41598-025-91210-w Kala, C. P. (2014). Changes in Traditional Agricultural Ecosystems in Rawain Valley, Uttarakhand State, India. Applied Ecology and Environmental Sciences, 2(4), 90–93. https://doi.org/10.12691/aees-2-4-1 Govender, Nadaraj. 2019. “Subsistence Farmers’ Knowledge in Developing Integrated Critical Pedagogy Education Curricula.” Education as Change 23(1). Pretoria: University of KwaZulu-Natal, South Africa. https://doi.org/10.25159/1947-9417/5841 Andrieu, N., Blundo-Canto, G., Chia, E., Diman, J. L., Dugué, P., Fanchone, A., Howland, F., Ott, S., & Poulayer, C. (2022). Scenarios for an agroecological transition of smallholder family farmers: a case study in Guadeloupe. Agronomy for Sustainable Development, 42(95). https://doi.org/10.1007/s13593-022-00828-x Catalogna M, Dubois M, Navarrete M (2018) Diversity of experimentation by farmers engaged in agroecology. Agron Sustain Dev 38:50. https://doi.org/10.1007/s13593-018-0526-2 Aare, A. K., Lund, S., & Hauggaard-Nielsen, H. (2021). Exploring transitions towards sustainable farming practices through participatory research–The case of Danish farmers' use of species mixtures. Agricultural systems, 189, 103053. https://doi.org/10.1016/j.agsy.2021.103053 Prost, L., Martin, G., Ballot, R., Benoit, M., Bergez, J.-E., Bockstaller, C., Cerf, M., Deytieux, V., Hossard, L., Jeuffroy, M.-H., Leclère, M., Le Bail, M., Le Gal, P.-Y., Loyce, C., Merot, A., Meynard, J.-M., Mignolet, C., Munier-Jolain, N., Novak, S., Parnaudeau, V., Poux, X., Sabatier, R., Salembier, C., Scopel, E., … van der Werf, H. (2023). Key research challenges to supporting farm transitions to agroecology in advanced economies: A review. Agronomy for Sustainable Development, 43(11). https://doi.org/10.1007/s13593-022-00855-8 Bajaracharya, R. M. (2001). Land preparation: an integral part of farming systems in the mid-hills of Nepal. Nepal Journal of Science and Technology, 3(1). Dixit, J., Sharma, S., & Ali, M. (2014). Present status, potential and future needs for mechanization of agricultural operations in Jammu and Kashmir state of India. Agricultural Engineering International: CIGR Journal, 16(3), 87–96. http://www.cigrjournal.org/index.php/Ejounral/article/viewFile/2990/1934 Lepcha, B., Avasthe, R., Ngachan, S. V., & Phukan, P. (2017). Traditional Agricultural Tools and Implements Used by Ethnic Groups of Farmers in Sikkim. Asian Agri-History, 21(4). https://www.researchgate.net/profile/Ravikant-Avasthe/publication/351226064_Traditional_Agricultural_Tools_and_Implements_Used_by_Ethnic_Groups_of_Farmers_in_Sikkim/links/608bca8792851c490fa7cc31/Traditional-Agricultural-Tools-and-Implements-Used-by-Ethnic-Groups-of-Farmers-in-Sikkim.pdf Singh, S. (2019). Feasibility assessment of Pant-ICAR animal drawn six-in-one tillage outfit in Kumaon hills of Uttarakhand. Indian Journal of Agricultural Sciences, 43, 39–45. https://doi.org/10.52151/ Ageze, M., Alebachew, M., Tikuneh, D., & Dires, A. (2024). Mechanization technologies for smallholder farmers in the Fogera plain (pp. 10–19). Sims, B., Corsi, S., Gbehounou, G., Kienzle, J., Taguchi, M., & Friedrich, T. (2018). Sustainable Weed Management for Conservation Agriculture: Options for Smallholder Farmers. Agriculture, 8(8), 118. https://doi.org/10.3390/agriculture8080118 Blanco-Sepúlveda, R., Aguilar-Carrillo, A., & Lima, F. (2021). Impact of weed control by hand tools on soil erosion under a no-tillage system cultivation. Agronomy, 11(5), 974. https://doi.org/10.3390/agronomy11050974 Woyessa, D. (2022). Weed control methods used in agriculture. American Journal of Life Science and Innovation, 1(1), 19–26. https://doi.org/10.54536/ajlsi.v1i1.413 Islam, M. M., Rahman, M. M., Sarker, S. S., Islam, M. N., Bhuiyan, F. H., Khanam, M. S., & Alam, I. (2024). Beyond yield: Unveiling farmer perceptions and needs regarding weed management in Bangladesh. Frontiers in Bioengineering and Biotechnology, 12, Article 1410128. https://doi.org/10.3389/fbioe.2024.1410128 Laizer, H. C., Chacha, M. N., & Ndakidemi, P. A. (2019). Farmers’ knowledge, perceptions and practices in managing weeds and insect pests of common bean in Northern Tanzania. Sustainability, 11(15), 4076. https://doi.org/10.3390/su11154076 Aluko, O. A., & Adelakun, O. J. (2024). Farmers’ perception of weed infestation and management in some Agrarian Communities of Southern nigeria. Journal of Agriculture and Food Sciences, 22(1), 1–13. https://doi.org/10.4314/jafs.v22i1.1 Arjjumend, H. (2004). Indigenous practices of post harvest storage among tribal communities of central India. Leisa India, 6(8). https://www.researchgate.net/publication/380929137 Negi, T., & Solanki, D. (2014). Indigenous post-harvest management of wheat crop among kumaon region farm families. Ind. J. Extn. Educ. & RD, 22, 185–189. http://www.rseeudaipur.org/wp-content/uploads/2014/08/41-2013_Tara.pdf Swamy, S. V. S., & Wesley, B. J. (2020). Traditional knowledge of post-harvest crop handling by tribal farmers of northern Andhra Pradesh. Indian Journal of Ecology, 47(2), 383–389. https://www.researchgate.net/profile/Gopala-Swamy/publication/343812901_Traditional_Knowledge_of_Post-harvest_Crop_Handling_by_Tribal_Farmers_of_Northern_Andhra_Pradesh/links/5f412bc0458515b7293faa7a/Traditional-Knowledge-of-Post-harvest-Crop-Handling-by-Tribal-Farmers-of-Northern-Andhra-Pradesh.pdf Stathers, T., Holcroft, D., Engelbert, M., Ravat, Z., & Marion, P. (2025). The evidence on crop postharvest loss reduction interventions for sub-Saharan African and South Asian food systems: A systematic scoping review update 2024. Journal of Stored Products Research, 114, 102727. https://doi.org/10.1016/j.jspr.2025.102727 Swangla, S., Vellaichamy, S., Singh, P., Burman, R. R., Priya, S., Palanisamy, V., ... & Singh, T. (2021). A note on indigenous technical knowledge in Kinnaur and Lahaul-Spiti districts of Himachal Pradesh. Indian Journal of Traditional Knowledge (IJTK), 20(2), 520–531. http://op.niscair.res.in/index.php/IJTK/article/view/29301 Karthikeyan, C., Veeraragavathatham, D., Karpagam, D., & Firdouse, S. A. (2009). Traditional storage practices. Indian Journal of Traditional Knowledge, 8(4), 564–568. https://www.researchgate.net/profile/Karthikeyan-Chandrasekaran-5/publication/228344463_Traditional_storage_practices/links/5f7ff68c299bf1b53e18473d/Traditional-storage-practices.pdf Bisheko, M. J., G, R., Ibirogba, D., & Kikonyogo, S. (2023). Traditional grain storage methods: An exploration of their contribution to the sustainability of Indian agriculture. Cogent Food & Agriculture, 9(2). https://doi.org/10.1080/23311932.2023.2276559 Vaidheki, M., Nivetha, C., & Gobikashri, N. (2024). An overview of traditional indigenous storage infrastructures and practices in India and Tamil Nadu. International Journal of Agriculture Extension and Social Development, 7(SP-Issue 12), 73–76. https://doi.org/10.33545/26180723.2024.v7.i12Sb.1455 Adewoyin, O., Ibidapo, A., Babatola, L., Fayose, F., Ekeocha, A., & Apata, T. (2022). Indigenous and Improved Postharvest Handling Methods and Processing of Fruits. https://doi.org/10.5772/intechopen.102668 Jarman, A., Thompson, J., Mcguire, E., Reid, M., Rubsam, S., Becker, K., & Mitcham, E. (2023). Postharvest technologies for small-scale farmers in low-and middle-income countries: A call to action. Postharvest Biology and Technology, 206, 112491. https://doi.org/10.1016/j.postharvbio.2023.112491 Kom, Z., Nicolau, M. D., & Nenwiini, S. C. (2024). The use of Indigenous Knowledge Systems practices to enhance food security in Vhembe District, South Africa. Agricultural Research, 13, 599–612. https://doi.org/10.1007/s40003-024-00716-8 Pandey, H. P., Aryal, S., Poudyal, B. H., Bhusal, S., & Maraseni, T. N. (2025). Navigating climate change: Impacts on indigenous practices concerning agrifood systems in Nepal’s socio-ecological landscape. Sustainable Horizons, 14, 100143. https://doi.org/10.1016/j.horiz.2025.100143 Chandola, M., Rathore, S., & Kumar, B. (2011). Indigenous pest management practices prevalent among hill farmers of Uttarakhand. Indian Journal of Traditional Knowledge, 10(2), 311–315. https://www.researchgate.net/profile/Surya-Rathore/publication/343818742_Indigenous_pest_Management_practices_prevalent_among_hill_farmers_of_Uttarakhand/links/5f7e966e299bf1b53e15f680/Indigenous-pest-Management-practices-prevalent-among-hill-farmers-of-Uttarakhand.pdf Divya, S. T., Verma, M., Gupta, D., & Kumar, S. (2025). Indigenous traditional practices for the insect-pest and weed management in Bilaspur and Una Districts of Himachal Pradesh (India). Age, 51(45), 55. https://www.researchgate.net/profile/Suresh-Kumar-303/publication/388070572_Indigenous_traditional_practices_for_the_insect-pest_and_weed_management_in_Bilaspur_and_Una_Districts_of_Himachal_Pradesh_India/links/6789421075d4ab477e47a91d/Indigenous-traditional-practices-for-the-insect-pest-and-weed-management-in-Bilaspur-and-Una-Districts-of-Himachal-Pradesh-India.pdf Angon, P. B., Mondal, S., Jahan, I., Datto, M., Antu, U. B., Ayshi, F. J., & Islam, M. S. (2023). Integrated pest management (IPM) in agriculture and its role in maintaining ecological balance and biodiversity. Advances in Agriculture, 2023(1), 5546373. https://doi.org/10.1155/2023/5546373 Zhou, W., Arcot, Y., Medina, R. F., Bernal, J., Cisneros-Zevallos, L., & Akbulut, M. E. (2024). Integrated pest management: an update on the sustainability approach to crop protection. ACS omega, 9(40), 41130–41147. https://doi.org/10.1021/acsomega.4c06628 Pretty, J. N., Noble, A. D., Bossio, D., Dixon, J., Hine, R. E., Penning de Vries, F. W., & Morison, J. I. (2006). Resource-conserving agriculture increases yields in developing countries. https://doi.org/10.1021/es062733a Mehla, M. K. (2023). Reducing reliance on chemical pesticides and promoting sustainable agriculture: role of integrated pest management strategies in horticulture. Shweta Sharma, 175. https://www.researchgate.net/profile/Pragya-Mehta/publication/370871974_Impact_of_Microplastics_on_Soil_and_Freshwater_Environment/links/64671de3702026631659679e/Impact-of-Microplastics-on-Soil-and-Freshwater-Environment.pdf#page=180 Ijatuyi, E. J., Lamm, A., Yessoufou, K., Suinyuy, T., & Patrick, H. O. (2025). Integration of indigenous knowledge with scientific knowledge: A systematic review. Environmental Science & Policy, 170, 104119. https://doi.org/10.1016/j.envsci.2025.104119 Limpo, S. Y., Fahmid, I. M., Fattah, A., Rauf, A. W., Surmaini, E., Muslimin, ... & Andri, K. B. (2022). Integrating indigenous and scientific knowledge for decision making of rice farming in South Sulawesi, Indonesia. Sustainability, 14(5), 2952. https://doi.org/10.3390/su14052952 Dorji, T., Rinchen, K., Morrison-Saunders, A., Blake, D., Banham, V., & Pelden, S. (2024). Understanding How Indigenous Knowledge Contributes to Climate Change Adaptation and Resilience: A Systematic Literature Review. Environmental management, 74(6), 1101–1123. https://doi.org/10.1007/s00267-024-02032-x Olarewaju, O. O., Fawole, O. A., Baiyegunhi, L. J. S., & Mabhaudhi, T. (2025). Integrating Sustainable Agricultural Practices to Enhance Climate Resilience and Food Security in Sub-Saharan Africa: A Multidisciplinary Perspective. Sustainability, 17(14), 6259. https://doi.org/10.3390/su17146259 Tripp, R. (2001). Seed provision & agricultural development: The institutions of rural change. Overseas Development Institute. 224–234. https://doi.org/10.2307/1514994 Commission on Genetic Resources for Food. (2010). The second report on the state of the world's plant genetic resources for food and agriculture (Vol. 2). Food & Agriculture Organization of the UN (FAO). https://www.fao.org/4/i1500e/i1500e00.htm Aoun, M. (2024). Unlocking heirloom diversity: A pathway to bridging global challenges in modern apple cultivation. Frontiers in Horticulture, 2, Article 1268970. https://doi.org/10.3389/fhort.2023.1268970 Morariu, P. A., Mureșan, A. E., Sestras, A. F., Tanislav, A. E., Dan, C., Mareși, E., Militaru, M., Mureșan, V., & Sestras, R. E. (2025). A Comprehensive Morphological, Biochemical, and Sensory Study of Traditional and Modern Apple Cultivars. Horticulturae, 11(3), 264. https://doi.org/10.3390/horticulturae11030264 Sen, V., Rana, R. S., & Chauhan, R. C. (2015). Impact of climate variability on apple production and diversity in Kullu valley, Himachal Pradesh. Indian Journal of Horticulture, 72(1), 14–20. https://doi.org/10.5958/0974-0112.2015.00003.1 Hartta, Y. S. (2014). Climate change and apple productions in Himachal Pradesh: A study of last two decades. Academic Discourse, 3(1), 75–81. González Noguer, C., Delgado, A., Else, M., & Hadley, P. (2023). Apple (Malus × domestica Borkh.) dormancy – a review of regulatory mechanisms and agroclimatic requirements. Frontiers in Horticulture, 2, Article 1217689. https://doi.org/10.3389/fhort.2023.1217689 Padulosi, S., Thompson, J., & Rudebjer, P. G. (2013). Fighting poverty, hunger and malnutrition with neglected and underutilized species: needs, challenges and the way forward. https://doi.org/10.13140/RG.2.1.3494.3842 Kulkarni, K. (2021). Quantifying vulnerability of crop yields in India to weather extremes. Available at SSRN 4794333. https://dx.doi.org/10.2139/ssrn.4794333 Kumar, R., & Gautam, H. R. (2014). Climate change and its impact on agricultural productivity in India. Journal of Climatology & Weather Forecasting, 2(1), 1–3. https://doi.org/10.4172/2332-2594.1000109 Khanam, R., Bhaduri, D., & Nayak, A. K. (2018). Crop diversification. Indian Farming, 68(01), 31–32. https://www.researchgate.net/profile/Debarati-Bhaduri/publication/323144780_Crop_diversification_an_important_way-out_for_doubling_farmers'_income_Indian_Farming/links/5f7ebc9192851c14bcb690f7/Crop-diversification-an-important-way-out-for-doubling-farmers-income-Indian-Farming.pdf Piedra-Bonilla, E. B., Da Cunha, D. A., Braga, M. J., & Oliveira, L. R. (2025). Extreme weather events and crop diversification: climate change adaptation in Brazil. Mitigation and Adaptation Strategies for Global Change, 30(5), 28. https://doi.org/10.1007/s11027-025-10211-2 NTAMACK, J. M. M. (2020). The Price Risk Management Trough Crop Diversification: The Portfolio Theory Can Be Extended To Cash Crops? IOSR Journal of Economics and Finance (IOSR-JEF), 11(5 Ser. III), 9–19. https://doi.org/10.9790/5933-1105030919 Abro, A. A., & Panhwar, I. A. (2020). Impact of Various Factors on Crop Diversification Towards High Value Crops in Pakistan: An Empirical Analysis by using THI. Sarhad Journal of Agriculture, 36(4). https://doi.org/10.17582/journal.sja/2020/36.4.1254.1265 Assouto, A. B., Houensou, D. A., & Semedo, G. (2020). Price risk and farmers’ decisions: A case study from Benin. Scientific African, 8, e00311. https://doi.org/10.1016/j.sciaf.2020.e00311 Barman, B., Ghosh, B., Ranjan, A., & Quader, S. W. (2024). The Potential of Indigenous Technological Knowledge for Sustainable and Climate-Resilient Agriculture. International Journal of Environment and Climate Change, 14(8), 490–501. https://doi.org/10.9734/ijecc/2024/v14i84369 Antonelli, C., Coromaldi, M., & Pallante, G. (2022). Crop and income diversification for rural adaptation: Insights from Ugandan panel data. Ecological Economics, 195, 107390. https://doi.org/10.1016/j.ecolecon.2022.107390 Bisht, I. S., Mehta, P. S., & Bhandari, D. C. (2007). Traditional crop diversity and its conservation on-farm for sustainable agricultural production in Kumaon Himalaya of Uttaranchal state: a case study. Genetic resources and crop evolution, 54(2), 345–357. https://doi.org/10.1007/s10722-005-5562-5 Nishad, R., Sahu, S. L., & Verma, P. (2020). Traditional crop varieties in India: Importance and conservation. NeuroQuantology, 18(9), 228–233. https://doi.org/10.48047/nq.2020.18.9.NQ20238 Hailu, F. (2025). The role of agrobiodiversity and diverse causes of its losses and methods of conservation: A review. Food and Humanity, 100500. https://doi.org/10.1016/j.foohum.2025.100500 Kartini, N. L., Saifulloh, M., Trigunasih, N. M., Sukmawati, N. M. S., Mega, I. M. (2024). Impact of Long-Term Continuous Cropping on Soil Nutrient Depletion. Ecological Engineering & Environmental Technology, 25(11), 18–29. https://doi.org/10.12912/27197050/191953 Derpsch, R., Kassam, A., Reicosky, D., Friedrich, T., Calegari, A., Basch, G., Gonzalez-Sanchez, E., & Rheinheimer dos Santos, D. (2024). Nature’s laws of declining soil productivity and Conservation Agriculture. Soil Security, 14, 100127. https://doi.org/10.1016/j.soisec.2024.100127 Țopa, D.-C., Căpșună, S., Calistru, A.-E., & Ailincăi, C. (2025). Sustainable Practices for Enhancing Soil Health and Crop Quality in Modern Agriculture: A Review. Agriculture, 15(9), 998. https://doi.org/10.3390/agriculture15090998 Nautiyal, P., Bhaskar, R., Papnai, G., Joshi, N., & Supyal, V. (2020). Impact of climate change on apple phenology and adaptability of Anna variety (low chilling cultivar) in lower hills of Uttarakhand. Int. J. Curr. Microbiol. App. Sci, 9(9), 453–460. https://doi.org/10.20546/ijcmas.2020.909.057 Negi, R., & Kandpal, A. S. (2023). A study on constraints faced by apple growers in production and marketing of apple in Uttarakhand. Pantnagar Journal of Research, 21(1), 53–57. https://www.gbpuat.res.in/paperdetail.php?paper=1386 Chand, R. (2022). Agricultural challenges and policies for the 21st century. NABARD Research and Policy Series, (2), 36. https://www.niti.gov.in/sites/default/files/2022-07/Paper_Agri-Challenges-and-Policies_NABARD.pdf Sibhatu, K. T., Krishna, V. V., & Qaim, M. (2015). Production diversity and dietary diversity in smallholder farm households. Proceedings of the national academy of sciences, 112(34), 10657–10662. https://doi.org/10.1073/pnas.1510982112 Mastura, T., Begum, I. A., Kishore, A., Jackson, T., Woodhill, J., Chatterjee, K., & Alam, M. J. (2023). Diversified agriculture leads to diversified diets: panel data evidence from Bangladesh. Frontiers in Sustainable Food Systems, 7, 1044105. https://doi.org/10.3389/fsufs.2023.1044105 Singh, S., Jones, A. D., DeFries, R. S., & Jain, M. (2020). The association between crop and income diversity and farmer intra-household dietary diversity in India. Food Security, 12(2), 369–390. https://doi.org/10.1007/s12571-020-01012-3 Pitt, W. J., Kairy, L. R., Mora, V., Peirce, E., Jensen, A. S., Bradford, B., ... & Nachappa, P. (2024). Landscapes with higher crop diversity have lower aphid species richness but higher plant virus prevalence. Journal of Applied Ecology, 61(7), 1573–1586. https://doi.org/10.1111/1365-2664.14687?urlappend=%3Futm_source%3Dresearchgate Zhang, Y., Bohan, D. A., Zhang, C., Cong, W. F., Munier-Jolain, N., & Bedoussac, L. (2025). Crop diversity reduces pesticide use more efficiently with refined diversification strategies. Communications Earth & Environment, 6(1), 460. https://doi.org/10.1038/s43247-025-02418-7 Khan, Z., Midega, C., Pittchar, J., Pickett, J., & Bruce, T. (2012). Push–pull technology: a conservation agriculture approach for integrated management of insect pests, weeds and soil health in Africa: UK Government's foresight food and farming futures project. In Sustainable intensification (pp. 162–170). Routledge. https://doi.org/10.3763/ijas.2010.0558?urlappend=%3Futm_source%3Dresearchgate Lenné, J., & Wood, D. (2024). Crop Diversity in Agroecosystems for Pest Management and Food Production. Plants, 13(8), 1164. https://doi.org/10.3390/plants13081164 Despotović, J., Rodić, V., & Caracciolo, F. (2021). Farmers’ environmental awareness: Construct development, measurement, and use. Journal of Cleaner Production, 295, 126378. https://doi.org/10.1016/j.jclepro.2021.126378 Naazie, G. K., Dakyaga, F., & Derbile, E. K. (2023). Agro-ecological intensification for climate change adaptation: Tales on soil and water management practices of smallholder farmers in rural Ghana. Discover Sustainability, 4(1), 27. https://doi.org/10.21203/rs.3.rs-2468502/v1 Burgess, A. J., Cano, M. E. C., & Parkes, B. (2022). The deployment of intercropping and agroforestry as adaptation to climate change. Crop and Environment, 1(2), 145–160. https://doi.org/10.1016/j.crope.2022.05.001 Li, C., Stomph, T. J., Makowski, D., Li, H., Zhang, C., Zhang, F., & Van der Werf, W. (2023). The productive performance of intercropping. Proceedings of the National Academy of Sciences, 120(2), e2201886120. https://doi.org/10.1073/pnas.2201886120 MacLaren, C., Waswa, W., Aliyu, K. T., Claessens, L., Mead, A., Schöb, C., ... & Storkey, J. (2023). Predicting intercrop competition, facilitation, and productivity from simple functional traits. Field Crops Research, 297, 108926. https://doi.org/10.1016/j.fcr.2023.108926 Moreira, B., Gonçalves, A., Pinto, L., Prieto, M. A., Carocho, M., Caleja, C., & Barros, L. (2024). Intercropping systems: An opportunity for environment conservation within nut production. Agriculture, 14(7), 1149. https://doi.org/10.3390/agriculture14071149 Bowles, T. M., Mooshammer, M., Socolar, Y., Calderón, F., Cavigelli, M. A., Culman, S. W., ... & Grandy, A. S. (2020). Long-term evidence shows that crop-rotation diversification increases agricultural resilience to adverse growing conditions in North America. One Earth, 2(3), 284–293. https://doi.org/10.1016/j.oneear.2020.02.007 Liu, C., Plaza-Bonilla, D., Coulter, J. A., Kutcher, H. R., Beckie, H. J., Wang, L., ... & Gan, Y. (2022). Diversifying crop rotations enhances agroecosystem services and resilience. Advances in Agronomy, 173, 299–335. https://doi.org/10.1016/bs.agron.2022.02.007 Zou, Y., Liu, Z., Chen, Y., Wang, Y., & Feng, S. (2024). Crop rotation and diversification in China: Enhancing sustainable agriculture and resilience. Agriculture, 14(9), 1465. https://doi.org/10.3390/agriculture14091465 Lin, B. B. (2011). Resilience in agriculture through crop diversification: adaptive management for environmental change. BioScience, 61(3), 183–193. https://doi.org/10.1525/bio.2011.61.3.4 Sharma, P., Sharma, P., & Thakur, N. (2024). Sustainable farming practices and soil health: A pathway to achieving SDGs and future prospects. Discover Sustainability, 5(1), 250. https://doi.org/10.1007/s43621-024-00447-4 Khatri-Chhetri, A., Aggarwal, P. K., Joshi, P. K., & Vyas, S. (2017). Farmers' prioritization of climate-smart agriculture (CSA) technologies. Agricultural systems, 151, 184–191. https://doi.org/10.1016/j.agsy.2016.10.005 Biswal, D., & Bahinipati, C. S. (2025). Farmers’ preference for crop-diversification in India: does crop-insurance play a part?. Mitigation and Adaptation Strategies for Global Change, 30(3), 17. https://doi.org/10.1007/s11027-025-10205-0 Chhetri, N., Chaudhary, P., Tiwari, P. R., & Yadaw, R. B. (2012). Institutional and technological innovation: Understanding agricultural adaptation to climate change in Nepal. Applied Geography, 33, 142–150. http://dx.doi.org/10.1016/j.apgeog.2011.10.006 Tharakan, J. (2017). Indigenous knowledge systems for appropriate technology development. Indigenous people, 123, 123–134. https://doi.org/10.5772/intechopen.69889 Additional Declarations No competing interests reported. Supplementary Files GraphicalAbstractBridgingIndigenousScientificKnowledgeforSustainableResilientCropDiversificationACaseStudyfromtheGarhwalHimalayas.png Cite Share Download PDF Status: Under Review Version 1 posted Editorial decision: Revision requested 13 Jan, 2026 Reviews received at journal 08 Jan, 2026 Reviews received at journal 04 Jan, 2026 Reviewers agreed at journal 02 Jan, 2026 Reviews received at journal 02 Jan, 2026 Reviewers agreed at journal 02 Jan, 2026 Reviewers agreed at journal 02 Jan, 2026 Reviewers agreed at journal 02 Jan, 2026 Reviewers invited by journal 02 Jan, 2026 Editor invited by journal 21 Dec, 2025 Editor assigned by journal 05 Dec, 2025 Submission checks completed at journal 05 Dec, 2025 First submitted to journal 05 Dec, 2025 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-8172820","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":568554284,"identity":"0b883fe6-359d-46fb-8024-c00f9e3fb62d","order_by":0,"name":"Pratibha Rawat","email":"","orcid":"","institution":"Hemwati Nandan Bahuguna Garhwal University","correspondingAuthor":false,"prefix":"","firstName":"Pratibha","middleName":"","lastName":"Rawat","suffix":""},{"id":568554285,"identity":"aab5db41-6428-425d-aeb0-3b0bfcb8faf8","order_by":1,"name":"Rajendra Singh Negi","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA6UlEQVRIiWNgGAWjYNACAxtm+wOHDwBZEjLEakljZzh4LAGkhYdYaw7xMxw+YwBiEdZi3n/24MMvBQekGdvOfH51o8aCh4H98NEN+LTI3MhLNpYxuGPMzHN2m3XOMaDDeNLSbuDTIiHBYyYtYfAsmU3i7DbjHDagFqAIfi38Z8x/Sxgcru+Rf/PMOOcfMVoYcswYPxgcZpZgOMP8OLeNGC0SOcbSwEBmNmA4Zsac2yfBw0bQL/xnDD/++GMD1HL48eecb3Vy/OyHj+HVAgLM0LhgkwCThJSDAOMPqNYPxKgeBaNgFIyCkQcAQvdFxOqwl+EAAAAASUVORK5CYII=","orcid":"","institution":"Hemwati Nandan Bahuguna Garhwal University","correspondingAuthor":true,"prefix":"","firstName":"Rajendra","middleName":"Singh","lastName":"Negi","suffix":""},{"id":568554286,"identity":"8f652ca1-b931-40bd-95e6-3ba45e70724f","order_by":2,"name":"Ajeet Kumar Negi","email":"","orcid":"","institution":"Hemwati Nandan Bahuguna Garhwal University","correspondingAuthor":false,"prefix":"","firstName":"Ajeet","middleName":"Kumar","lastName":"Negi","suffix":""},{"id":568554287,"identity":"b86b022b-1cc9-4da9-a8ec-49b732ed1925","order_by":3,"name":"Santosh Singh","email":"","orcid":"","institution":"Hemwati Nandan Bahuguna Garhwal University","correspondingAuthor":false,"prefix":"","firstName":"Santosh","middleName":"","lastName":"Singh","suffix":""}],"badges":[],"createdAt":"2025-11-21 10:53:23","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-8172820/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-8172820/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":99522966,"identity":"cb4568c0-35f7-4195-abaf-44df66fc65d9","added_by":"auto","created_at":"2026-01-05 11:26:52","extension":"jpg","order_by":0,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":59057,"visible":true,"origin":"","legend":"","description":"","filename":"LocationMapofStudyArea.jpg","url":"https://assets-eu.researchsquare.com/files/rs-8172820/v1/8c2f91a45de0313f937cfc7c.jpg"},{"id":99792470,"identity":"7f56fc95-f7be-4711-9c27-3df9154b5f8c","added_by":"auto","created_at":"2026-01-08 13:20:47","extension":"docx","order_by":1,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":206339,"visible":true,"origin":"","legend":"","description":"","filename":"DiscoverAgricultureIndigenousandScientificKnowledgeIntegrationforImprovedCropDiversificationandSustainabilityintheGarhwalHimalayas.docx","url":"https://assets-eu.researchsquare.com/files/rs-8172820/v1/ab1b6bf6de25ca0c46f2a45d.docx"},{"id":99522967,"identity":"c9363478-821f-4cf3-baee-6fb583914995","added_by":"auto","created_at":"2026-01-05 11:26:52","extension":"png","order_by":5,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":44130,"visible":true,"origin":"","legend":"","description":"","filename":"RiskBenefit.png","url":"https://assets-eu.researchsquare.com/files/rs-8172820/v1/fe7105c56cf31ad98f043022.png"},{"id":99790974,"identity":"3ca79b42-d5ee-490a-9e8c-1adb909a546c","added_by":"auto","created_at":"2026-01-08 12:58:55","extension":"json","order_by":8,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":6849,"visible":true,"origin":"","legend":"","description":"","filename":"5fb673ec7a6b45bcb11ae1b5345dfa5c.json","url":"https://assets-eu.researchsquare.com/files/rs-8172820/v1/4a0bceb8b953e2df6cf82849.json"},{"id":99791056,"identity":"e074ae39-155d-4ce2-8dcb-6dfd1e0d3a29","added_by":"auto","created_at":"2026-01-08 12:59:00","extension":"png","order_by":9,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":266691,"visible":true,"origin":"","legend":"","description":"","filename":"GraphicalAbstractBridgingIndigenousScientificKnowledgeforSustainableResilientCropDiversificationACaseStudyfromtheGarhwalHimalayas.png","url":"https://assets-eu.researchsquare.com/files/rs-8172820/v1/74ace49baef3d52f56b4cfe1.png"},{"id":99522972,"identity":"8b591aa4-e27b-4067-9fbd-fa77a077a57d","added_by":"auto","created_at":"2026-01-05 11:26:52","extension":"xml","order_by":10,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":194413,"visible":true,"origin":"","legend":"","description":"","filename":"5fb673ec7a6b45bcb11ae1b5345dfa5c1enriched.xml","url":"https://assets-eu.researchsquare.com/files/rs-8172820/v1/a5a5d7808da781d1d6ff4d96.xml"},{"id":99792216,"identity":"aeee3364-6ba6-4b37-ae11-e2b0614ae748","added_by":"auto","created_at":"2026-01-08 13:16:19","extension":"jpg","order_by":11,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":59057,"visible":true,"origin":"","legend":"","description":"","filename":"LocationMapofStudyArea.jpg","url":"https://assets-eu.researchsquare.com/files/rs-8172820/v1/5c75cb78c7314555134baade.jpg"},{"id":99791356,"identity":"b2ad023f-2d7e-43bf-b764-e532a85ed279","added_by":"auto","created_at":"2026-01-08 12:59:32","extension":"jpeg","order_by":12,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":158896,"visible":true,"origin":"","legend":"","description":"","filename":"floatimage1.jpeg","url":"https://assets-eu.researchsquare.com/files/rs-8172820/v1/eff35adbaeaef1ee3d86da0d.jpeg"},{"id":99790829,"identity":"25af0189-48df-420d-92a9-9cbeef62a3f0","added_by":"auto","created_at":"2026-01-08 12:58:44","extension":"png","order_by":13,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":47939,"visible":true,"origin":"","legend":"","description":"","filename":"OnlineLocationMapofStudyArea.png","url":"https://assets-eu.researchsquare.com/files/rs-8172820/v1/6ae1c82ff621e260067a2785.png"},{"id":99522969,"identity":"8fbe2119-1feb-4786-adb0-c7285730bae6","added_by":"auto","created_at":"2026-01-05 11:26:52","extension":"png","order_by":14,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":92579,"visible":true,"origin":"","legend":"","description":"","filename":"Onlinefloatimage1.png","url":"https://assets-eu.researchsquare.com/files/rs-8172820/v1/e356f7173947c414285d1ae7.png"},{"id":99522975,"identity":"05f41237-b0cb-429b-825f-c5ac1e80fce8","added_by":"auto","created_at":"2026-01-05 11:26:52","extension":"xml","order_by":15,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":191040,"visible":true,"origin":"","legend":"","description":"","filename":"5fb673ec7a6b45bcb11ae1b5345dfa5c1structuring.xml","url":"https://assets-eu.researchsquare.com/files/rs-8172820/v1/ceb115bb8b8c27f092764d03.xml"},{"id":99791523,"identity":"b03d95bc-1fd1-4478-a614-362ab929f503","added_by":"auto","created_at":"2026-01-08 13:01:03","extension":"html","order_by":16,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":203597,"visible":true,"origin":"","legend":"","description":"","filename":"earlyproof.html","url":"https://assets-eu.researchsquare.com/files/rs-8172820/v1/0da2180628b74a5070aa5b9e.html"},{"id":99522965,"identity":"3977ab93-7313-4f49-ba88-e43c5f6ddb3f","added_by":"auto","created_at":"2026-01-05 11:26:52","extension":"jpg","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":59057,"visible":true,"origin":"","legend":"\u003cp\u003eLocation Map of Study Area – Naugaon Block, Uttarkashi District, Uttarakhand, India.\u003c/p\u003e","description":"","filename":"LocationMapofStudyArea.jpg","url":"https://assets-eu.researchsquare.com/files/rs-8172820/v1/d63d79d3a3c74ea9a8c747a3.jpg"},{"id":100356092,"identity":"755512e5-8892-4ef8-9b9e-94497245f1cc","added_by":"auto","created_at":"2026-01-16 06:51:41","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1702866,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-8172820/v1/5f2e90ff-ee61-4b88-a900-6fb0864c7dde.pdf"},{"id":99522968,"identity":"54b68f24-c54f-4f42-8a95-6fc39278d6f9","added_by":"auto","created_at":"2026-01-05 11:26:52","extension":"png","order_by":7,"title":"","display":"","copyAsset":false,"role":"supplement","size":266691,"visible":true,"origin":"","legend":"","description":"","filename":"GraphicalAbstractBridgingIndigenousScientificKnowledgeforSustainableResilientCropDiversificationACaseStudyfromtheGarhwalHimalayas.png","url":"https://assets-eu.researchsquare.com/files/rs-8172820/v1/03a3e986d2ca54bd50442e8f.png"}],"financialInterests":"No competing interests reported.","formattedTitle":"Indigenous and Scientific Knowledge Integration for Improved Crop Diversification and Sustainability in the Garhwal Himalayas","fulltext":[{"header":"1. Introduction","content":"\u003cp\u003eUttarakhand, a hilly state in India, spans a total geographic area of 53,483 km\u0026sup2; and lies at the foothills of the Himalayan Mountain range. Positioned between the latitudes of 28\u0026deg; 43\u0026prime; N to 31\u0026deg; 27\u0026prime; N and longitudes of 77\u0026deg; 34\u0026prime; E to 81\u0026deg; 02\u0026prime; E. The state is renowned for its rich biodiversity and unique cultural heritage. In the remote mountain regions of Uttarakhand, cultural diversity and ecological sustainability are deeply intertwined, forming a symbiotic relationship between habitats, traditions, and ecosystems (Negi, 2010 [1]). This intricate connection has fostered a wealth of Indigenous Knowledge (IK) that has shaped agricultural and environmental practices for generations. Indigenous Knowledge is rooted in the long-lived experiences of communities, evolving through continuous adaptation to local environmental conditions (Senanayake, 2006[2]). Developed over centuries through trial and error, it encompasses problem-solving techniques that enable communities to recognize challenges and devise localized solutions (Mahalik \u0026amp; Mahapatra [3], 2010; Ardakani et al., 2000[4]).\u003c/p\u003e \u003cp\u003eHowever, while IK provides valuable experiential insights and sustainable solutions, Scientific Knowledge (SK) offers empirical rigor and technological advancements that drive innovation. Scientific research has played a crucial role in enhancing agricultural productivity by developing high-yielding, disease-resistant crop varieties and promoting scientific farming techniques such as precision agriculture and climate-smart strategies (El Mahdy, 2021[5]; Ahmed et al., 2024[6]; Adewuyi et al., 2024[7], Huang and Wang, 2024[8]; and Roy and Medheker, 2025[9]). The scientific approach prioritizes efficiency, productivity, and scalability, leveraging mechanization, synthetic fertilizers, and genetically modified crops to maximize yields. While these advancements have significantly increased food production, they have also contributed to environmental challenges such as soil degradation and biodiversity loss (Jeffery \u0026amp; Gardi, 2010[10]; Tibbett et al.,2020[11]; Gupta et al., 2024[12]; Gamage et al., 2024[13]; Folina et al., 2025[14]; and Habib et al.,2025[15]).\u003c/p\u003e \u003cp\u003eIn India, agricultural diversification has increasingly been pursued not merely as a risk-coping mechanism but as a deliberate strategy to enhance farm incomes through the cultivation of high-value crops (Rao et al., 2004[16]; Joshi et al., 2004[17]; Birthal et al., 2013[18]; Basantaray et al., 2022[19]; Jackson et al., 2025[20] and Kumari et al.,2025[21]). Crop diversification serves as an effective risk mitigation strategy against climatic uncertainties, biotic stresses, and market fluctuations, particularly in fragile ecosystems (Ferry de Monatalembert 2025[22]; and Mihrete, and Mihretu, 2025[23]). Mihrete and Mihretu (2025)[23] argue that promoting diversified cropping systems including spatial, temporal, genetic (locally adapted and novel varieties), and intercropping strategies can enhance food security, stabilize incomes for resource-poor farmers, and support environmental sustainability. Diversification in Indian agriculture has increasingly become a proactive, income-enhancing approach particularly through the cultivation of high-value crops like fruits and vegetables rather than a mechanism solely for managing climatic or market risk (Birthal et al., 2020[24]; Neogi et al.,2022[25]; Kumari, 2025[21]; and Ferry and de Moantalembert, 2025[22]). This shift highlights the potential of diversification as a strategic lever for economic welfare and sustainable resource management, but also at the risk of agro-biodiversity erosion to some extent (Dev, 2018[26] and Kumar et al., 2025[27]; and PIB,2025[28]). However, there is little empirical knowledge of this process, which makes it more difficult to create resilient, locally relevant farming practices that provide both ecological sustainability and livelihood stability (Šūmane et al., 2018[29]; Yanou et al., 2023[30]; Reckling et al., 2023[31]; Shaffril et al., 2024[32]; and Bai et al., 2024[33])\u003c/p\u003e \u003cp\u003eThis study is significant as it addresses the urgent need to strengthen agroecological resilience and farm-based livelihoods in a climatically fragile Himalayan region (Pandey et al., 2017[34]; Roy \u0026amp; Kumar, 2018[35]; Kumar et al., 2021[36] and Roy and Medheker, 2025[9]). The growing need for sustainable agricultural solutions highlights the importance of integrating Indigenous and scientific knowledge. By blending traditional ecological wisdom with scientific advancements, communities can develop resilient farming strategies that enhance food security, promote ecological balance, and align with local cultural contexts. This integration is not just a theoretical concept but a necessary transformation in agricultural practices ensuring sustainability while maintaining productivity. In the current study, the null hypotheses to be tested are that there is no significant adoption of identified traditional and scientific agricultural practices among farmers and no significant correlation between perceived risks and benefits and crop diversification.\u003c/p\u003e"},{"header":"2. Materials and Methods","content":"\u003cdiv id=\"Sec3\" class=\"Section2\"\u003e \u003ch2\u003e2.1 Study Area\u003c/h2\u003e \u003cp\u003eThe study was conducted in the Naugaon block, District Uttarkashi of the Rawain region, located at approximately 30.7892\u0026deg; N latitude and 78.1408\u0026deg; E longitude. This block inhabits villages from the foot-hills (1,300 MSL) to the high-altitude region (2,675 MSL). According to the 2011 Census, Naugaon Block has a total population of 65,668, comprising 33,343 males and 32,325 females, spread across 12,310 households. The workforce in Naugaon Block includes 32,907 individuals, of which 27,725 are classified as main workers engaged for over six months in the year, while 5,182 are recorded as marginal workers, whose employment is more intermittent. A substantial proportion, around 23,762 persons, depend primarily on farming and cultivation as their principal occupation. At the same time, a notable share of the population participates in agricultural activities only seasonally, typically for less than half the year, indicating the firm reliance on agriculture as well as its seasonal limitations in the region. It is a region rich in natural beauty, forest wealth, fertile land, and animal husbandry, and is also known for its religious, pilgrimage, and tourism significance. Traditional cropping systems varied according to land and water availability. Irrigated fields supported paddy and wheat, while unirrigated terraced slopes were used for mixed crops like millets, pulses, and wheat. The residents of the Rawain Valley have undergone a notable shift in land use and cropping patterns. Over the past decade, farmers in the region have increasingly transitioned from cultivating traditional staple crops to growing vegetables on land that was previously dedicated to subsistence cereals. This change reflects an adaptive livelihood strategy designed to enhance income and meet emerging market demands.\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec4\" class=\"Section2\"\u003e \u003ch2\u003e2.2 Research Design\u003c/h2\u003e \u003cp\u003eFor the study, 12 villages were selected out of a total of 189 villages in Naugaun Block, using a stratified purposive sampling method. The stratification was based on altitude and livelihood diversity, ensuring equitable representation from three distinct altitudinal zones: four villages were selected from each of the ranges of 1000\u0026ndash;1500 m, 1500\u0026ndash;2000 m, and above 2000 m. Village selection was guided by criteria such as variation in livelihood patterns, accessibility, and the degree of engagement in traditional and scientific agricultural practices. The research employed an exploratory and analytical approach, utilizing a quantitative research design. For household selection, a proportionate stratified random sampling method was employed. The sample size was distributed using the Proportionate Stratified Random Sampling formula, ensuring proportional representation across the altitudinal zones. In total, 300 farming households were surveyed. The sampling technique involved a combination of purposive and random sampling to capture diversity while maintaining statistical rigor (Bouncken et al., 2025[37]). Data collection was carried out through semi-structured interviews, focus group discussions (FGDs), and field observations. The collected data were analyzed using descriptive statistics, indexing, and correlation analysis, and statistical tests such as the One-Sample t-Test and Pearson Correlation Coefficient were applied. The study was conducted using MS Excel and SPSS Version 31.0.0.0 (117) software tools. Moreover, the Relative Adoption Index (RAI) was calculated (adapted from proportionate index methods commonly used in technology adoption studies) to determine the relative prevalence of IK and SK practices. All research methods were performed in accordance with the Standard Operating Procedures (SOP) of the Ethical Review Board (ERB) for Researches on Humans, Plants \u0026amp; Environment, Hemvati Nandan Bahuguna Garhwal University (A Central University), Srinagar Garhwal, India. The study was approved by the Institutional Ethical Committee for Social Sciences, Humanities, Law and Theology Research under the Ethical Review Board (ERB), and academic approval was granted by the Board of Studies, Department of Rural Technology, Hemvati Nandan Bahuguna Garhwal University.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec5\" class=\"Section2\"\u003e \u003ch2\u003e2.3 Sample Size Calculation:\u003c/h2\u003e \u003cp\u003e \u003cb\u003e2.3.1.\u003c/b\u003e To determine an appropriate and statistically valid sample size for the household survey, Yamane\u0026rsquo;s (1967) simplified formula for proportions was applied. The calculated sample is 300 households, with a margin of error (typically 0.05 or 5% for a 95% confidence level).\u003c/p\u003e \u003cdiv id=\"Sec6\" class=\"Section3\"\u003e \u003ch2\u003e\u003cb\u003e2.3.2.\u003c/b\u003e Sample size for the villages\u003c/h2\u003e \u003cp\u003eThis approach allows for proportionate representation, as mentioned in Table\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e, based on the population density of each village, along with consideration of the respective Gram Panchayat, which serves as the local self-governance body responsible for planning, development, and administrative functions at the village level. The final distribution of the sample size across the villages is presented in the table below:\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab1\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 1\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eVillage Stratification and Sample Selection by Altitudinal Range (2011 Census Data)\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"7\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c7\" colnum=\"7\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eS. No\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eAltitudinal Range\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eVillages\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003eGram Panchayats\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003eTotal Population\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c6\"\u003e \u003cp\u003eTotal no. of HH (as per 2011 census)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c7\"\u003e \u003cp\u003eProportionate Stratified Random Sampling\u0026thinsp;=\u0026thinsp;no. of HH in particular village/Total household of the selected village* sample size\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003e1\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e1000-1500m\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e1540\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e318\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e80\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003e2\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e1500-2000m\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e2222\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e320\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e80\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003e3\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eAbove 2000\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e2,760\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e562\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e140\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e\u003cb\u003e1200\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e\u003cb\u003e300\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003c/div\u003e \u003c/div\u003e"},{"header":"3. Results","content":"\u003cp\u003e\u003cstrong\u003e3.1 Analysis of Farmers\u0026rsquo; Adoption of Indigenous and Scientific Agricultural Practices with the One-Sample t-Test Method\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eTo assess the relative preference of farmers for indigenous versus scientific agricultural practices, a one-sample t-test was conducted across five major domains: land preparation, weed management, pest management, post-harvest management, and storage practices, as shown in Tables 2 and 3. The analysis was based on farmers\u0026rsquo; responses (N = 300) regarding the frequency and perceived relevance of each practice. The test value was set at 0 to determine whether the mean preference scores for selected practices were significantly greater than zero, indicating a favourable preference. Since all p-values \u0026lt; 0.001, the hypothesis (H₀) is rejected in all cases. This means that each practice was significantly preferred to some extent by the farmers.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 2:\u003c/strong\u003e Assessment of Prevalent Indigenous Agricultural Practices: Test Values, Frequencies, and Indigenous Knowledge Index (N = 300)\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eS.No\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eIndigenous Agriculture Practices\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eAgricultural Practices (two most relevant)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"7\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eTest Value = 0\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eFrequency\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eIK Index\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003et\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003en\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eSignificance\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eMean Difference\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e95% Confidence Interval of the Difference\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eOne-Sided p\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eTwo-Sided p\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eLower\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eUpper\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e1\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eLand Preparation\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eManual tilling with hand tools (e.g., hoe, spade)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e21.778\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e299\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e0.613\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e0.56\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e0.67\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e186\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e0.73\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eAnimal-drawn Plough\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e50.041\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e299\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e0.893\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e0.86\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.93\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e270\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e2\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eWeed Management\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eHand-pulling of weeds\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e27.501\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e299\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e0.717\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e0.67\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e0.77\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e215\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e0.81\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eUse of tools like hoes, sickles, or weeders\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e41.709\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e299\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e0.853\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e0.81\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.89\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e258\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e3\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003ePest Management Practices\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eUse of neem leaves, oil, or extracts as a natural pesticide\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e9.717\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e299\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e0.24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e0.19\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e0.29\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e147\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e0.46\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eApplication of cow dung or cow urine-based pest repellents\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e16.725\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e299\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e0.483\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e0.43\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e0.54\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e73\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e4\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003ePost Harvest Management Practices\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eSun drying\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e23.738\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e299\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e0.653\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e0.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e0.71\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e239\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e0.72\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eManual threshing and winnowing\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e33.538\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e299\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e0.79\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e0.74\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.84\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e198\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e5\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eTraditional Storage Practices\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eKothar\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e19.508\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e299\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e0.56\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e0.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.62\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e170\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e0.77\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eStorage in clay pots or earthenware\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e7.64\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e299\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e0.163\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e0.12\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e0.21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e49\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003eSource: Primary Data\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 3:\u003c/strong\u003e Assessment of Prevalent Scientific Agricultural Practices: Test Values, Frequencies, and Scientific Knowledge Index (N = 300)\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eS.No\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eScientific\u0026nbsp;\u003c/strong\u003e\u003cstrong\u003eAgricultural Practices\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eAgricultural Practices (two most relevant)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"7\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eTest Value = 0\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eFrequency\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eIK Index\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003et\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003edf\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eSignificance\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eMean Difference\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e95% Confidence Interval of the Difference\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eOne-Sided p\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eTwo-Sided p\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eLower\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eUpper\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e1\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eScientific Method of Land Preparation\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eRototillers or power tillers\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e7.826\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e299\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e0.17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e0.13\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e0.21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e51\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e0.27\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eApplication of chemical fertilizers for soil preparation\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e14.217\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e299\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e0.403\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e0.35\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e0.46\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e121\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e2\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eWeed Management\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eApplication of herbicides\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e10.25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e299\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e0.26\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e0.21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e0.31\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e78\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e0.19\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eMechanical tillers or rototillers for weed control\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e5.87\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e299\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e0.103\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e0.07\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e0.14\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e31\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e3\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003ePest Management Practices\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eChemical pesticides\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e28.194\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e299\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e0.727\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e0.68\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.78\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e219\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e0.54\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eBiopesticides (commercial organic products)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e6.782\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e299\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e0.133\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e0.09\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e0.17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e41\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e4\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003ePost-Harvest Management Practices\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eRefrigeration\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e9.005\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e299\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e0.213\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e0.17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e0.26\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e64\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e0.28\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eValue addition\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e12.319\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e299\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e0.337\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e0.28\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e0.39\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e103\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e5\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eTraditional Storage Practices\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eHerm\u003cstrong\u003eet\u003c/strong\u003eic storage (e.g., airtight containers, drums)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e8.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e299\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e0.177\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e0.13\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e0.22\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e53\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e0.23\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eStorage in m\u003cstrong\u003eet\u003c/strong\u003eal bins\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e3.53\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e299\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e0.04\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e0.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e0.06\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e12\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003eSource: Primary Data\u003c/p\u003e\n\u003cp\u003eThe statistical analysis reveals a clear dominance of IK practices across agricultural areas in the Rawain region, as indicated by high average values and strong t-scores (p \u0026lt; 0.001). Commonly used IK methods include animal-drawn ploughs (M = 0.893, t = 50.041), manual tilling (M = 0.613), traditional weeding tools like hoes and sickles (M = 0.853), hand-pulling (M = 0.717), and post-harvest techniques such as manual threshing (M = 0.790) and sun drying (M = 0.653). Traditional storage methods like kothars (traditional granaries) and clay pots also showed a strong preference, with IK indices ranging from 0.72 to 0.81. Scientific Knowledge (SK) practices were less widely adopted but still statistically significant. Chemical pesticides (M = 0.727, t = 28.194) and fertilizers (M = 0.403) were the most commonly used SK practices. In contrast, value addition (M = 0.337), refrigeration (M = 0.213), hermetic storage (M = 0.177), and metal bins (M = 0.040) were used less frequently. Lower SK indices (0.27\u0026ndash;0.54) indicate partial integration, limited by access, cost, and farmers\u0026rsquo; familiarity with traditional systems.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e3.2.\u0026nbsp;\u003c/strong\u003eLeading Crops Contributing to Household Income\u003c/p\u003e\n\u003cp\u003eBased on field observations and personal interviews with farmers, the study area shows notable crop diversification, with apple emerging as the main income-generating crop (Table 4). In addition to apples, farmers have increasingly adopted hybrid cultivars of other fruits such as pear, pomegranate, plum, peach, and cherry. Similarly, vegetable cultivation, especially of high-value crops like peas and tomatoes, has gained momentum. This shift toward high-yielding hybrid varieties represents a strategic move aimed at increasing household income, reducing market risks, and meeting the growing demand for commercial products. Some of the major varieties preferred and grown by farmers in the study area are listed below.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 4.\u003c/strong\u003e List of Crops and their Traditional and Hybrid Varieties\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eS. No\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eCrop\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eVariety\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eTraditional/Hybrid Variety\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003eApple\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eRed Delicious, Royal Delicious, Golden Delicious Red Golden, Golden Delicious\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eTraditional\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eJeromine, Royal Gala, Gala Maima, Gala SR, KingRoat, Scarlet, Organ Spur, Dark Baran Gala, Red Velox, Golden Spur, Red Chief, Granny Smith, Super Chief, Rootstalk-M9, M11, 106, 111\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eHybrid\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003ePear\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eBergamot, Red Bartlett, Victoria, Packham, Carmen\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eHybrid\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003ePomegranate\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eKandhari, Sindhuri\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eHybrid\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003ePlum\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eBlack Amber, Red Beauty, Mariposa\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eHybrid\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003ePeach\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eNectarine, Sharbati\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eHybrid\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eCherry\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eAmarea, Ferrovia\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eHybrid\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003ePea\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eArkel, VL Matar 3\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eHybrid\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eTomato\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eAbhirang, Himsona, M1313, Naveen 2000, Ansal, Rachita, 13504\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eHybrid\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003eSource: Primary Data\u003c/p\u003e\n\u003cp\u003eThe Table 4 presents the list of the major crops cultivated in the study area, along with their traditional and hybrid varieties. It highlights the predominance of hybrid varieties among fruit crops such as apple, pear, pomegranate, plum, peach, and cherry, as well as vegetable crops like pea and tomato. Traditional varieties are primarily represented in apple cultivation, whereas all listed varieties of other crops are hybrids. This illustrates a clear trend toward the adoption of hybrid varieties, reflecting farmers\u0026rsquo; preferences for improved yield, disease resistance, and market value.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e3.4 Farmers\u0026rsquo; Perspectives on the Risks and Benefits of Crop Diversification\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e3.4.1.\u003c/strong\u003e Pearson\u0026rsquo;s Correlation Coefficient\u003c/p\u003e\n\u003cp\u003eA correlation analysis using Pearson\u0026rsquo;s coefficients revealed that farmers\u0026rsquo; decisions on crop diversification are significantly influenced by perceived risks and benefits (Table 5). The strongest correlation was observed between the risk of crop failure due to unpredictable weather (r = 0.730, p \u0026lt; 0.01) and the benefit of enhanced farm income (r = 0.718, p \u0026lt; 0.01), indicating that despite climate risks, diversification is viewed as a strategy to boost household income. Market price fluctuations (r = 0.450) and the benefit of reduced economic risk from multiple income sources (r = 0.398) also showed significant correlations, supporting diversification as a financial risk management strategy.\u003c/p\u003e\n\u003cp\u003eOther notable associations included pest/disease susceptibility (r = 0.275) paired with improved household nutrition (r = 0.370), as well as concerns about soil degradation (r = 0.199) alongside cultural crop conservation benefits (r = 0.134), all of which were statistically significant. While resource competition showed no significant correlation (r = 0.079), the related benefit of climate resilience was mildly significant (r = 0.130, p \u0026lt; 0.05). The weakest and non-significant correlations were seen for the difficulty of managing diverse crops (r = 0.061) and improved soil health (r = 0.091), indicating minimal influence on diversification decisions. Overall, the findings suggest that farmers prioritize income, nutrition, and resilience over management complexity or ecological risks when considering diversification.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 5:\u003c/strong\u003e Correlation of Farmers\u0026rsquo; Perceived Risks and Benefits Associated with Crop Diversification\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 35px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eS. No\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 133px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eCrop Diversification Risk\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 119px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eRisk Correlation Coefficient\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 133px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eCrop Diversification Benefit\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 180px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eBenefit Correlation Coefficient\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 133px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eHigher chances of crop failure due to unpredictable weather\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 119px;\"\u003e\n \u003cp\u003e0.730\u003csup\u003e**\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 133px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eEnhanced farm income\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 180px;\"\u003e\n \u003cp\u003e0.718\u003csup\u003e**\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 35px;\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 133px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eMarket price fluctuations\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 119px;\"\u003e\n \u003cp\u003e0.450\u003csup\u003e**\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 133px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eReduced economic risks due to multiple income sources\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 180px;\"\u003e\n \u003cp\u003e0.398\u003csup\u003e**\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 35px;\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 133px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eIncreased susceptibility to pests and diseases\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 119px;\"\u003e\n \u003cp\u003e0.275\u003csup\u003e**\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 133px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eImproved nutritional diversity in households\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 180px;\"\u003e\n \u003cp\u003e0.370\u003csup\u003e**\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 35px;\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 133px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eSoil degradation\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 119px;\"\u003e\n \u003cp\u003e0.199\u003csup\u003e**\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 133px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eEnhanced cultural and traditional crop conservation\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 180px;\"\u003e\n \u003cp\u003e0.134\u003csup\u003e*\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 35px;\"\u003e\n \u003cp\u003e5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 133px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eCompetition between crops for resources\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 119px;\"\u003e\n \u003cp\u003e0.079\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 133px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eIncreased resilience to climate change impacts\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 180px;\"\u003e\n \u003cp\u003e0.130\u003csup\u003e*\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 35px;\"\u003e\n \u003cp\u003e6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 133px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eDifficulty in managing multiple crops\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 119px;\"\u003e\n \u003cp\u003e0.061\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 133px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eImproved soil health\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 180px;\"\u003e\n \u003cp\u003e0.091\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"5\" valign=\"top\" style=\"width: 601px;\"\u003e\n \u003cp\u003ep \u0026lt; 0.01 marked as ** (Correlation is significant at the 0.01 level, 1-tailed).\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"5\" valign=\"top\" style=\"width: 601px;\"\u003e\n \u003cp\u003ep \u0026lt; 0.05 marked as * (Correlation is significant at the 0.05 level, 1-tailed).\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003eSource: Primary Data\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e3.4.2.\u003c/strong\u003e Relationship Between Crop Diversification and its Risk\u0026ndash;Benefit Perceptions\u003c/p\u003e\n\u003cp\u003eTable 6 illustrates the alignment between risk\u0026ndash;benefit awareness and selective IK\u0026ndash;SK adoption, highlighting a pragmatic and dynamic knowledge ecosystem among farming communities in the study region. The table below presents a synthesis of key crop diversification indicators alongside the benefits and risks perceived by farmers. It highlights key crop diversification strategies, demonstrating that they offer multiple benefits, including enhanced income, improved nutrition, cultural conservation, climate resilience, and better soil health. However, each practice also carries associated risks, including weather-induced crop failure, market price volatility, pest outbreaks, soil degradation, resource competition, and management challenges. Overall, while diversification strengthens farming systems, it demands careful planning and higher management efforts to balance benefits with potential risks.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 6.\u003c/strong\u003e Crop Diversification Indicators and Their Correlation with Farmers\u0026rsquo; Perceived Benefits and Risks\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" class=\"fr-table-selection-hover\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eS. No\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eCrop Diversification Indicator\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eLinked Benefit\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eLinked Risk\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eExplanation\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eGrowing multiple crops in the same season\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eEnhanced farm income\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eHigher chances of crop failure due to unpredictable weather\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eWhile diversification increases income opportunities, farmers are also concerned about the potential for simultaneous failure due to extreme or erratic weather.\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eInclusion of high-value or off-season crops\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eReduced economic risks due to multiple income sources\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eMarket price fluctuations\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eFarmers diversify to reduce dependence on a single crop market, but fear price volatility in diversified crops can still impact returns.\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eCultivating horticultural and food crops together\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eImproved nutritional diversity in households\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eIncreased susceptibility to pests and diseases\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eCrop diversity ensures better dietary outcomes, yet farmers report greater pest incidence due to varied host plants.\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eRevival of local or traditional crop varieties\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eEnhanced cultural and traditional crop conservation\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eSoil degradation\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eTraditional varieties help preserve agro-biodiversity, but continuous use without rotation may lead to soil nutrient depletion if not managed properly.\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eIntercropping and mixed cropping systems\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eIncreased resilience to climate change impacts\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eCompetition between crops for resources\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eIntercropping buffers against climatic risk but may cause resource competition (e.g., light, water, nutrients) between component crops.\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eManaging diverse crops across small fragmented landholdings\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eImproved soil health\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eDifficulty in managing multiple crops\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eCrop rotation and diversity can enhance soil fertility, though managing different crop needs simultaneously is labour and knowledge-intensive.\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e"},{"header":"4. Discussion","content":"\u003cp\u003eIndigenous Technical Knowledge constitutes a fundamental basis for decision-making in rural agriculture, providing eco-friendly, cost-effective, and sustainable solutions, particularly for smallholder and marginal farmers (Tyagi et al., 2018[38]; Shenoy, 2019[39]; Barman et al., 2022[40]; Shareya et al., 2025[41]). Rooted in generations of empirical observation and local adaptation, these knowledge systems are ecosystem-based, time-tested, and support both agricultural and aquacultural innovation (Warren and Cashman, 1988[42]; Melash et al., 2023[43]; Tameshwar et al., 2021[44]). Traditional practices, such as seed conservation, organic soil fertility management, and indigenous pest control demonstrate efficacy and sustainability, especially when synergistically integrated with modern technologies, including high-yield seed varieties, synthetic fertilizers, and advanced irrigation methods. This hybridization results in enhanced agricultural productivity while simultaneously preserving biodiversity and maintaining soil health (Adedokun, 2024[45]; Adefila et al., 2024[46]; Kumar et al., 2025[27]; Modi, 2025[47]). The present study reveals a complex interaction between Indigenous and Scientific Knowledge in shaping agricultural strategies within the Rawain region. Such integrative approaches not only sustain ecological diversity and improve climate change resilience, but also reinforce community identity and empower local stakeholders (Wilder et al., 2016[48]; Makondo \u0026amp; Thomas, 2018[49]; VijayKumar, 2019[50]; Gautam, 2019[51]; Adefila et al., 2024[46]).\u003c/p\u003e \u003cp\u003eAcross most agricultural domains, indigenous knowledge remains dominant, emphasizing its deep cultural roots and enduring practical relevance in regions with limited access to modern farming technologies (Nyong et al., 2007[52]; Mugwisi et al., 2012[53]; File \u0026amp; Nhamo, 2023[54]; Nur Sohad and Mafrolla., 2025[55]; and Praveenkumar, 2025[56]). The persistence of these traditional methods highlights their cost-effectiveness, ecological compatibility, and strong alignment with local environmental understanding. Such features reinforce IK as an adaptive and resilient system (Altieri, 2018[57]; Berkes et al., 2000[58]; Esmail et al., 2023[59]; and Gemechis et al., 2025[60]).\u003c/p\u003e \u003cp\u003eThis reliance on indigenous practices is especially pronounced among smallholder farmers, who frequently prioritize IK over expensive mechanization due to its suitability for local agroecological challenges (Biggs et al., 2011[61]; Olawuyi et al., 2024[62]; and Madsen et al,2025[63]). However, it is important to recognize that modernization has significantly transformed farming systems worldwide, including in the study area. Traditional agriculture, marked by the use of organic fertilizers, simple tools, and inherited knowledge contrasts with modern agriculture, which increasingly involves mechanization, advanced tools, and scientific inputs (Princy, 2022[64]; Gamage et al., 2024[13]; Bai et al., 2024[33]; Khumalo et al., 2025[65]).\u003c/p\u003e \u003cp\u003eIn the Rawain region, this distinction is evident. Farmers continue to apply traditional methods for land preparation and soil fertility, while also adopting innovations such as hybrid seeds, modern pest control, and market-oriented production strategies (Kala, 2014[66]). The coexistence of these approaches illustrates a gradual but purposeful transition from subsistence-based farming toward commercially viable, knowledge-integrated systems (Govender, 2019[67]; and Andrieu.et al.,2022[68]). This hybridization not only enhances productivity but also reflects broader global trends toward sustainable and context-sensitive agricultural development (Catalogna et al., 2018[69]; Aare et al., 2021[70]; and Prost et al., 2023[71]).\u003c/p\u003e \u003cp\u003eThe preference for IK extends prominently to land preparation, where animal-drawn ploughs and manual tilling with hand tools are favoured for their affordability, adaptability to rugged terrain, and alignment with farmers\u0026rsquo; existing skills (Bajaracharya, 2001[72]; Dixit et al., 2014[73]; Lepcha et al., 2017[74]; Singh, 2019[75]; Ageze et al., 2024[76]). Similarly, weed control remains largely traditional, with manual methods like hoeing and hand-pulling dominating due to their low cost, accessibility, and cultural familiarity (Sims et al., 2018[77]; Blanco-Sep\u0026uacute;lveda et al., 2021[78]; Woyessa, 2022[79]; Islam et al.,2024[80]). While some farmers acknowledge the benefits of herbicides, adoption remains limited by financial constraints, lack of technical know-how, and concerns over health and soil impacts (Laizer et al., 2019[81]; Aluko \u0026amp; Adelakun, 2024[82]). These trends highlight how socio-economic and ecological factors shape farmers\u0026rsquo; reliance on IK, even as they cautiously explore SK alternatives.\u003c/p\u003e \u003cp\u003ePost-harvest practices further emphasize the enduring role of IK, with manual threshing, winnowing, and sun-drying remaining dominant due to their economic viability, resource availability, and generational familiarity (Arjjumend, 2004[83]; Negi \u0026amp; Solanki, 2014[84]; Swamy \u0026amp; Wesley, 2020[85]; Stathers et al., 2025[86]). Storage methods also lean heavily toward indigenous techniques, such as the use of Kothar and clay pots, which are valued for their climate adaptability, cultural significance, and sustainability (Swangla et al., 2021[87]; Karthikeyan et al., 2009[88]; Bisheko et al., 2023[89]; Vaidheki et al., 2024[90]). These practices demonstrate that post-harvest solutions are most effective when they build upon existing indigenous systems, thereby ensuring cultural relevance and grassroots accessibility (Adewoyin et al., 2022[91]; Jarman et al., 2023[92]; Kom et al., 2024[93]; and Pandey et al., 2025[94]).\u003c/p\u003e \u003cp\u003eHowever, pest management demonstrates a more balanced integration of Indigenous IK and SK, reflecting farmers\u0026rsquo; rational blending of both systems. While chemical pesticides are commonly used, traditional methods, such as cow dung, cow urine-based repellents, and neem-based solutions remain relevant (Chandola et al., 2011[95]; Divya et al., 2025[96]). This hybrid approach signals an increasing recognition of the value in combining local wisdom with modern solutions, particularly in response to challenges such as pest resistance and the need for effective extension services. The effectiveness of Integrated Pest Management (IPM) in these contexts illustrates how cultural knowledge and scientific tools can collaborate to promote sustainability (Angon et al., 2023[97]; Zhou et al., 2024[98]). Nevertheless, the increasing use of chemical pesticides suggests a gradual shift toward SK, driven by the urgency to protect vulnerable crops (Pretty et al., 2006[99]; Mehla, 2023[100]). Rather than being in conflict, IK and SK function as complementary systems, where indigenous practices offer a foundational, low-cost, and ecologically sustainable framework, while scientific interventions are adopted where they provide clear benefits (Ijatuyi et al., 2025[101]). This integrated approach, rooted in cultural sensitivity and adaptability, holds great promise for fostering resilient and sustainable farming systems (Adefila et al., 2024[46]; Limpo et al., 2022[102]; Dorji et al., 2024[103]; and Olarewaju et al., 2025[104]).\u003c/p\u003e \u003cp\u003eAdditionally, the adoption of modern agricultural practices is evident in farmers\u0026rsquo; growing use of hybrid crop varieties across the Rawain region. As shown in Table\u0026nbsp;\u003cspan refid=\"Tab4\" class=\"InternalRef\"\u003e4\u003c/span\u003e, most fruit and vegetable cultivation now depends on high-yielding hybrids, with only a few traditional apple varieties, such as Red Delicious, Royal Delicious, and Golden Delicious still maintained to a limited extent. This transition reflects a preference for uniform, market-responsive cultivars supported by formal seed systems and influenced by shifting market demands (Tripp, 2001[105]; FAO, 2010[106]; Kala, 2014[66]; Aoun, 2024[107]; Morariu et al., 2025[108]). Climatic pressures, such as warmer winters and declining chilling hours that threaten traditional apple yields, further accelerate the adoption of low-chill hybrid varieties (Sen et al., 2015[109]; Hartta, 2014[110]; Gonz\u0026aacute;lez Noguer, 2023[111]). While these changes address both economic and agroecological needs, they raise concerns about the loss of traditional agro-biodiversity, as hybrid seed systems increasingly replace locally adapted landraces (Padulosi et al., 2013[112]). Balancing the benefits of high-yielding hybrids with the preservation of resilient indigenous germplasm remains a central challenge for long-term sustainability.\u003c/p\u003e \u003cp\u003eIt is also observed that farmers in the Rawain region perceive crop diversification as a preferable choice, offering both substantial benefits and notable risks. Strong positive correlations exist between diversification and enhanced income, economic stability, and nutritional improvement; yet, farmers also acknowledge significant challenges, such as weather unpredictability, pest pressure, and market volatility (Kulkarni, 2021[113]; Kumar \u0026amp; Gautam, 2014[114]). Crop diversification reduces the risk of total crop failure and ensures alternative income sources, as different crops respond differently to changing climatic conditions (Khanam et al., 2018[115]; Piedra-Bonilla et al., 2025[116]). Farmers pursue crop diversification to mitigate reliance on a single crop market, however, they remain concerned that price fluctuations across diversified crops may still pose risks to overall farm income stability (NTAMACK, 2020[117]; Abro and Panhwar, 2020[118]; Assouto et al., 2020[119]; Barman et al., 2022[120]; and Antonelli et al., 2022[121]; and Mihrete and Mihretu,2025[23]). However, Traditional crop varieties play a crucial role in conserving agro-biodiversity (Bisht et al., 2007[122]; Nishad et al., 2020[123]; Bai et al., 2024[33]; and Hailu, 2025[124]). But, when cultivated continuously without crop rotation, they can contribute to soil nutrient depletion and declining soil quality (Kartini et al., 2024[125]; Derpsch et al., 2024[126]; and Țopa et al., 2025[127]). Climate change exacerbates these risks, particularly for traditional apple varieties in Uttarakhand\u0026rsquo;s lower hills, where declining winter chilling hours are reducing yields. This has spurred the adoption of low-chill, early-maturing hybrids as climate-resilient alternatives (Nautiyal et al., 2020[128]; Negi \u0026amp; Kandpal, 2023[129]).\u003c/p\u003e \u003cp\u003eMarket price fluctuations emerge as another critical risk, prompting farmers to adopt strategies like mixed farming, livestock integration, and non-farm employment to stabilize incomes (Chand, 2022[130]; Joshi et al., 2004[17]). Diversification into high-value horticultural crops has significantly improved household nutritional diversity (Sibhatu et al., 2015[131]; Mastura et al., 2023[132]), although it has also heightened pest and disease incidence (Singh et al., 2020[133]; Barman et al., 2022[40]). While crop diversification can enhance dietary quality and nutritional outcomes, farmers frequently report increased pest attacks due to the presence of multiple host plants (Pitt et al., 2024[134]; Zhang et al., 2025[135]). Although diversification can disrupt pest cycles and promote soil health, its effectiveness depends on specific crop-pest interactions and local agroecological conditions (Khan et al., 2012[136]; Lenn\u0026eacute; \u0026amp; Wood, 2024[137]). Despite these complexities, farmers pragmatically balance tradition and innovation. They recognize soil degradation risks yet continue heritage practices such as crop rotation, intercropping, and organic manure (Despotović et al., 2021[138]; Naazie et al., 2023[139]).\u003c/p\u003e \u003cp\u003eMoreover, intercropping helps mitigate climatic risks by diversifying production, but it can increase intra- and interspecific competition for light, water, and nutrients, potentially impacting crop growth and yield (Burgess, A.J. et al., 2022[140]; Li, C. et al., 2023[141]; MacLaren, C. et al., 2023[142]; Moreira, B. et al., 2024[143]). Crop rotation and diversification boost soil fertility and ecological resilience, although their effective management requires considerable labour and expertise to address the distinct growth and nutrient needs of each crop (Bowles et al., 2020[144]; Liu et al., 2022[145]; Zou et al., 2024[146]). While improved soil health is seldom the primary motivation, diversification supports long-term resilience by buffering against climate shocks and stabilising yields (Lin, 2011[147]; Sharma et al., 2024[148]). However, short-term economic pressures often dominate, with farmers prioritising adaptive measures like adjusted sowing dates and crop insurance over long-term sustainability (Khatri-Chhetri et al., 2017[149]; Biswal \u0026amp; Bahinipati, 2025[150]). Therefore, this hybrid approach, which combines traditional knowledge with selective scientific adoption, reflects an adaptive response to climatic and market pressures (Chhetri et al., 2012[151]; Ijatuyi et al., 2025[101]). Strengthening agrarian resilience thus requires integrating indigenous systems (e.g., Barahnaja, community seed banks) with context-appropriate innovations, ensuring food security and climate adaptation while preserving cultural and ecological balance (Tharakan, 2017[152]; Lin, 2011[147]; Ijatuyi et al., 2025[101]).\u003c/p\u003e"},{"header":"5. Conclusions","content":"\u003cp\u003eDespite growing recognition of IK in sustainable agriculture, research on the integrated adoption of IK and SK in marginal mountain environments remains sparse. Studies frequently treat these systems separately, neglecting their potential synergies, trade-offs, and impacts on sustainability, knowledge transmission, and agrobiodiversity. Socioeconomic, cultural, and perceptual factors influencing farmers\u0026rsquo; choices are understudied, and policy frameworks often lack mechanisms for validating and mainstreaming hybrid practices. The long-term socioecological and economic consequences of such integration, especially under climate change, remain unclear. To address these gaps, future research should prioritize longitudinal and cross-regional studies on the outcomes of hybrid IK\u0026ndash;SK systems, focusing on resilience and agrobiodiversity. Investigating the behavioral, gendered, and intergenerational aspects of knowledge transmission, as well as developing participatory research frameworks, will support the co-creation and contextual validation of sustainable practices. Assessing the effectiveness of policies and extension services, and evaluating economic impacts under diverse conditions, are essential for scaling successful integrations.\u003c/p\u003e \u003cp\u003eThe present study of the Rawain region highlights that while Indigenous Knowledge remains central, farmers are increasingly incorporating scientific methods such as hybrid crops and modern pest management demonstrating adaptive strategies in response to changing needs. Crop diversification, particularly with high-value hybrids like apples, peas, and tomatoes, has emerged as both a risk and an opportunity for enhanced resilience and income. This pattern, observable beyond Rawain, underscores the global relevance of integrative approaches in mountain agriculture. Therefore, policymakers should promote integrative policies that value local knowledge, facilitate sustainable crop diversification, and strengthen market linkages. Practitioners are encouraged to foster participatory learning and blend traditional and modern practices. Institutionalizing the documentation of local knowledge will ensure its continued utility as agriculture evolves. By implementing these measures, mountain regions worldwide can advance toward resilient, adaptive, and market-responsive agricultural systems.\u003c/p\u003e"},{"header":"Abbreviations","content":"\u003cp\u003eThe following abbreviations are used in this manuscript:\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eIK\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eIndigenous Knowledge\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eSK\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eScientific Knowledge\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eIK Index\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eIndigenous Knowledge Index\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eSK Index\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eScientific Knowledge Index\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eRAI\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eRelative Adoption Index\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eFGD\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eFocus Group Discussion\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eSPSS\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eStatistical Package for the Social Sciences\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eMSL\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eMean Sea Level\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eR\u0026amp;D\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eResearch and Development\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eIPM\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eIntegrated Pest Management\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eMS Excel\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eMicrosoft Excel\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eHH\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eHousehold\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003et-test\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eStudent’s t-Test\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003ep-value\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eProbability Value\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003er\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003ePearson’s Correlation Coefficient\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eSDG\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eSustainable Development Goal\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eFAO\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eFood and Agriculture Organization\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eHHs\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eHouseholds\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eUCOST-DST\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eUttarakhand State Council for Science and Technology – Department of Science and Technology\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e"},{"header":"Declarations","content":"\u003cp\u003e \u003cstrong\u003eEthics approval and consent to participate\u003c/strong\u003e \u003cp\u003eNo detailed descriptions or images of individual participants were collected or used in this study. All information was fully anonymized, therefore, consent for publication was not required. Informed verbal consent to participate was obtained from all participants.\u003c/p\u003e \u003c/p\u003e \u003cp\u003e \u003cstrong\u003eConsent for publication\u003c/strong\u003e \u003cp\u003eThe authors have approved the content of this manuscript, and the manuscript is submitted for publication in the Journal of Discover Agriculture.\u003c/p\u003e \u003c/p\u003e \u003cp\u003e \u003cstrong\u003eCompeting interests\u003c/strong\u003e \u003cp\u003eThe authors declare no competing interests.\u003c/p\u003e \u003c/p\u003e\u003ch2\u003eFunding:\u003c/h2\u003e \u003cp\u003eThe research received funding support from Uttarakhand State Council for Science and Technology (UCOST), Department of Science and Technology, Government of Uttarakhand, under the Research and Development (R\u0026amp;D) project.\u003c/p\u003e\u003ch2\u003eAuthor Contribution\u003c/h2\u003e\u003cp\u003eConceptualization, P.R. and R.S.N.; Methodology, P.R.; A.K.N; software, P.R. and S.S.; validation, R.S.N., A.K.N. and S.S.; formal analysis, P.R.; investigation, P.R. and S.S.; Resources, R.S.N.; data curation, P.R.; writing\u0026mdash;original draft preparation, P.R.; writing\u0026mdash;review and editing, P.R., R.S.N., A.K.N. and S.S.; visualization, P.R.; supervision, A.K.N; R.S.N and S.S..; project administration, R.S.N.; funding acquisition, R.S.N and A.K.N. All authors have read and agreed to the published version of the manuscript.\u003c/p\u003e\u003ch2\u003eAcknowledgement\u003c/h2\u003e\u003cp\u003eThe authors express their sincere gratitude to the Hon\u0026rsquo;ble Vice-Chancellor of Hemvati Nandan Bahuguna Garhwal University and Uttarakhand for his support and encouragement and Uttarakhand State Council for Science and Technology (UCOST), Department of Science and Technology, Government of Uttarakhand, for providing financial support through the Research and Development (R\u0026amp;D) project. The authors gratefully acknowledge the cooperation, knowledge sharing, and active participation of the local community from the research area for their significant contribution for the success of this study.\u003c/p\u003e\u003ch2\u003eData Availability\u003c/h2\u003e\u003cp\u003eThe datasets generated and/or analyzed in this study were collected by the authors as part of their Ph.D. research.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n\u003cli\u003eNegi, C. S. (2010). Traditional culture and biodiversity conservation: Examples from Uttarakhand, Central Himalaya. Mountain Research and Development, 30(3), 259–265. https://doi.org/10.1659/MRD-JOURNAL-D-09-00040.1\u003c/li\u003e\n\u003cli\u003eSenanayake, S. G. J. N. (2006). Indigenous knowledge as a key to sustainable development. https://doi.org/10.4038/jas.v2i1.8117\u003c/li\u003e\n\u003cli\u003eMahalik, P. R., \u0026amp; Mahapatra, R. K. (2010). Documenting indigenous traditional knowledge in Odisha. Orissa Review, 100–115. https://magazines.odisha.gov.in/Orissareview/2010/May-June/engpdf/99-103.pdf\u003c/li\u003e\n\u003cli\u003eArdakani, M.A., Shah Vali, M. (2000); Principles, concepts and studies of indigenous knowledge, agriculture, Village and Development Series publications, No. 34. https://doi.org/10.22215/etd/2014-10134\u003c/li\u003e\n\u003cli\u003eEl Mahdy, Q. M. (2021). The role of scientific research in the field of agricultural development. International Journal of Modern Agriculture and Environment, 1(1), 22–37. https://doi.org/10.21608/ijmae.2023.214946.1009\u003c/li\u003e\n\u003cli\u003eAhmed, B., Shabbir, H., Naqvi, S. R., \u0026amp; Peng, L. (2024). Smart Agriculture: Current State, Opportunities and Challenges. IEEE Access. https://doi.org/10.1109/ACCESS.2024.3471647\u003c/li\u003e\n\u003cli\u003eAdewuyi, A. Y., Anyibama, B., Adebayo, K. B., Kalinzi, J. M., Adeniyi, S. A., \u0026amp; Wada, I. (2024). Precision agriculture: Leveraging data science for sustainable farming. International Journal of Scientific Research Archive, 12(2), 1122–1129. https://doi.org/10.30574/ijsra.2024.12.2.1371\u003c/li\u003e\n\u003cli\u003eHuang, W., \u0026amp; Wang, X. (2024). The Impact of Technological Innovations on Agricultural Productivity and Environmental Sustainability in China. Sustainability, 16(19), 8480. https://doi.org/10.3390/su16198480\u003c/li\u003e\n\u003cli\u003eRoy, M., \u0026amp; Medhekar, A. (2025). Transforming smart farming for sustainability through agri-tech innovations: Insights from the Australian agricultural landscape. Farming System, 3(4), 100165. https://doi.org/10.1016/j.farsys.2025.100165\u003c/li\u003e\n\u003cli\u003eJeffery, S., \u0026amp; Gardi, C. (2010). Identifying potential threats to soil biodiversity. PMC. Retrieved from https://pmc.ncbi.nlm.nih.gov/articles/PMC7295018/\u003c/li\u003e\n\u003cli\u003eTibbett, M., Fraser, T. D., \u0026amp; Duddigan, S. (2020). Identifying potential threats to soil biodiversity. PeerJ, 8, e9271. https://doi.org/10.7717/peerj.9271\u003c/li\u003e\n\u003cli\u003eGupta, S. S., Misra, S., \u0026amp; Ghosh, A. (2024). Biodiversity: goal and driver of agricultural sustainability. In Biodiversity and Bioeconomy (pp. 143–164). Elsevier. https://doi.org/10.1016/B978-0-323-95482-2.00007-9\u003c/li\u003e\n\u003cli\u003eGamage, A., Gangahagedara, R., Subasinghe, S., Gamage, J., Guruge, C., Senaratne, S., Randika, T., Rathnayake, C., Hameed, Z., Madhujith, T., \u0026amp; Merah, O. (2024). Advancing sustainability: The impact of emerging technologies in agriculture. Current Plant Biology, 40, Article 100420. https://doi.org/10.1016/j.cpb.2024.100420\u003c/li\u003e\n\u003cli\u003eFolina, A., Kakabouki, I., Baginetas, K., \u0026amp; Bilalis, D. (2025). Integration of Bioresources for Sustainable Development in Organic Farming: A Comprehensive Review. Resources, 14(7), 102. https://doi.org/10.3390/resources14070102\u003c/li\u003e\n\u003cli\u003eHabib, M., Singh, S., Jan, S., Jan, K., \u0026amp; Bashir, K. (2025). The future of the future foods: Understandings from the past towards SDG-2. NPJ Science of Food, 9(1), Article 138. https://doi.org/10.1038/s41538-025-00484-x\u003c/li\u003e\n\u003cli\u003eRao, P. P., Birthal, P. S., Joshi, P. K., \u0026amp; Kar, D. (2004). Agricultural diversification in India and role of urbanization. https://doi.org/10.22004/ag.econ.60454\u003c/li\u003e\n\u003cli\u003eJoshi, P. K., Gulati, A., Birthal, P. S., \u0026amp; Tewari, L. (2004). Agriculture diversification in South Asia: patterns, determinants and policy implications. Economic and political weekly, 2457–2467. https://doi.org/10.2307/4415148\u003c/li\u003e\n\u003cli\u003eBirthal, P. S., Joshi, P. K., Roy, D., \u0026amp; Thorat, A. (2013). Diversification in Indian agriculture toward high-value crops: The role of small farmers. Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, 61(1), 61–91. https://doi.org/10.1111/j.1744-7976.2012.01258.x\u003c/li\u003e\n\u003cli\u003eBasantaray, A. K., Paltasingh, K. R., \u0026amp; Birthal, P. S. (2022). Crop Diversification, Agricultural Transition and Farm Income Growth: Evidence from Eastern India. Italian Review of Agricultural Economics (REA), 77(3), 55–65. https://doi.org/10.36253/rea-13796%0A\u003c/li\u003e\n\u003cli\u003eJackson, T. M., Nandi, R., Jannat, A., Ghosh, A., Hajra, D. K., Mitra, B., Rashid, M. M., Bista, S., Chaudhary, A., Timsina, P., Karki, E., Chakma, K. R., Rana, G., \u0026amp; Kishore, A. (2025). Patterns of livelihood diversification in farming systems of the Eastern Gangetic Plains. Agricultural Systems, 227, 104346. https://doi.org/10.1016/j.agsy.2025.104346\u003c/li\u003e\n\u003cli\u003eKumari, R. (2025). Agricultural diversification and its impact on farm income: Evidence from North Bihar. In P. Kulkarni \u0026amp; S. Sharma (Eds.), Proceedings of the IBA IEA Conference on Economics and Public Policy (Ecofluence 2024), Advances in Economics, Business and Management Research (Vol. 335). Indus Business Academy. https://doi.org/10.2991/978-94-6463-766-3_10\u003c/li\u003e\n\u003cli\u003eFerry, M., \u0026amp; de Montalembert, J. (2025). Mitigating climate vulnerability: The crop diversification effect. Ecological Economics, 233, 108568. https://doi.org/10.1016/j.ecolecon.2025.108568\u003c/li\u003e\n\u003cli\u003eMihrete, T. B., \u0026amp; Mihretu, F. B. (2025). Crop diversification for ensuring sustainable agriculture, risk management and food security. Global Challenges, 9(2), Article e2400267. https://doi.org/10.1002/gch2.202400267\u003c/li\u003e\n\u003cli\u003eBirthal, P. S., Hazrana, J., \u0026amp; Negi, D. S. (2020). Diversification in Indian agriculture towards high value crops: Multilevel determinants and policy implications. Land Use Policy, 91, 104427. https://doi.org/10.1016/j.landusepol.2019.104427\u003c/li\u003e\n\u003cli\u003eNeogi, S., \u0026amp; Ghosh, B. K. (2022). Evaluation of crop diversification on Indian farming practices: A panel regression approach. Sustainability, 14(24), 16861. https://doi.org/10.3390/su142416861\u003c/li\u003e\n\u003cli\u003eDev, S. M. (2018). Transformation of Indian agriculture? Growth, inclusiveness and sustainability (Working Paper WP-2018-026). Indira Gandhi Institute of Development Research. https://www.igidr.ac.in/pdf/publication/WP-2018-026.pdf\u003c/li\u003e\n\u003cli\u003eKumar, B., Mishra, V., \u0026amp; Pandey, M. (2025). Revival of indigenous knowledge and organic practices in Indian horticulture for sustainable development. IOSR Journal of Biotechnology and Biochemistry, 11(1, Series 1), 30–38. https://doi.org/10.9790/264X-1101013038\u003c/li\u003e\n\u003cli\u003ePress Information Bureau. (2025, January 31). India’s agriculture sector demonstrates resilience, average growth rate of 5 per cent during FY17 to FY23: Economic Survey [Press release]. Ministry of Finance, Government of India. https://pib.gov.in/PressReleasePage.aspx?PRID=2097886\u003c/li\u003e\n\u003cli\u003eŠūmane, S., Kunda, I., Knickel, K., Strauss, A., Tisenkopfs, T., des Ios Rios, I., ... \u0026amp; Ashkenazy, A. (2018). Local and farmers' knowledge matters! How integrating informal and formal knowledge enhances sustainable and resilient agriculture. Journal of Rural Studies, 59, 232–241. https://doi.org/10.1016/j.jrurstud.2017.01.020\u003c/li\u003e\n\u003cli\u003eYanou, M. P., Ros-Tonen, M. A., Reed, J., Moombe, K., \u0026amp; Sunderland, T. (2023). Integrating local and scientific knowledge: The need for decolonising knowledge for conservation and natural resource management. Heliyon, 9(11). https://doi.org/10.1016/j.heliyon.2023.e21785\u003c/li\u003e\n\u003cli\u003eReckling, M., Watson, C. A., Whitbread, A., \u0026amp; Helming, K. (2023). Diversification for sustainable and resilient agricultural landscape systems. Agronomy for Sustainable Development, 43(4), 44. https://dx.doi.org/10.1007/s13593-023-00898-5\u003c/li\u003e\n\u003cli\u003eShaffril, H. A. M., Samah, A. A., Samsuddin, S. F., Ahmad, N., Tangang, F., Sidique, S. F. A., ... \u0026amp; Khalid, N. A. (2024). Diversification of agriculture practices as a response to climate change impacts among farmers in low-income countries: A systematic literature review. Climate Services, 35, 100508. https://doi.org/10.1016/j.cliser.2024.100508\u003c/li\u003e\n\u003cli\u003eBai, Y., Li, X., Feng, Y., Liu, M., \u0026amp; Chen, C. (2024). Preserving traditional systems: Identification of agricultural heritage areas based on agro-biodiversity. Plants, People, Planet, 6(3), 670–682. https://doi.org/10.1002/ppp3.10479\u003c/li\u003e\n\u003cli\u003ePandey, R., Aretano, R., Gupta, A. K., Meena, D., Kumar, B., \u0026amp; Alatalo, J. M. (2017). Agroecology as a climate change adaptation strategy for smallholders of Tehri-Garhwal in the Indian Himalayan region. Small-scale forestry, 16(1), 53–63. https://doi.org/10.1007/s11842-016-9342-1\u003c/li\u003e\n\u003cli\u003eRoy, A., \u0026amp; Kumar, U. (2018). Emerging farming systems in Western Himalaya: a state level analysis of sustainability. Int J Environ Sci Nat Resour, 9(2), 555757. http://dx.doi.org/10.19080/IJESNR.2018.09.555757\u003c/li\u003e\n\u003cli\u003eKumar, P., Sharma, P. K., Kumar, P., Sharma, M., \u0026amp; Butail, N. P. (2021). Agricultural sustainability in Indian Himalayan region: Constraints and potentials. Indian J Ecol, 48(3), 649–662. https://www.researchgate.net/profile/Praveen-Kumar-118/publication/352977371_Agricultural_Sustainability_in_Indian_Himalayan_Region_Constraints_and_Potentials/links/60e17e58a6fdccb74503a7f6/Agricultural-Sustainability-in-Indian-Himalayan-Region-Constraints-and-Potentials.pdf\u003c/li\u003e\n\u003cli\u003eBouncken, R. B., Czakon, W., \u0026amp; Schmitt, F. (2025). Purposeful sampling and saturation in qualitative research methodologies: Recommendations and review. Review of Management Science. https://doi.org/10.1007/s11846-025-00881-2\u003c/li\u003e\n\u003cli\u003eTyagi, S., Singh, M. K., Singh, B. D., \u0026amp; Kumar, S. (2018). Conservation and management of indigenous technical knowledge for livelihood upliftment of small and marginal farmers in rural areas. International Journal of Inclusive Development, 4(2), 53–58. https://ndpublisher.in/admin/issues/IJIDv4n2e.pdf\u003c/li\u003e\n\u003cli\u003eShenoy, N. S. (2019). Indigenous technical knowledge and its relevance for sustainability. In K. Kareemulla \u0026amp; S. Ravichandran (Eds.), Foundation Course for Agricultural Research Service (FoCARS) Course Material. ICAR–National Academy of Agricultural Research Management (NAARM), Hyderabad, India. http://aiasa.org.in/wp-content/uploads/2015/07/NARS-India.pdf#page=544\u003c/li\u003e\n\u003cli\u003eBarman, A., Saha, P., Patel, S., \u0026amp; Bera, A. (2022). Crop diversification an effective strategy for sustainable agriculture development. Sustainable crop production-recent advances. https://doi.org/10.5772/intechopen.102635\u003c/li\u003e\n\u003cli\u003eShareya, S., Sharma, D. D., \u0026amp; Samridhi, S. (2024). Relevance of indigenous technical knowledge in agriculture: Challenges and opportunities. International Journal of Research Publication and Reviews, 5(3), 6434–6437. https://ijrpr.com/uploads/V5ISSUE3/IJRPR24242.pdf\u003c/li\u003e\n\u003cli\u003eWarren, D. and Cashman, K. (1988). Indigenous Knowledge for Sustainable Agriculture and Rural Development. Available at https://www.iied.org/x101iied\u003c/li\u003e\n\u003cli\u003eMelash, A. A., Bogale, A. A., Migbaru, A. T., Chakilu, G. G., Percze, A., Ábrahám, É. B., \u0026amp; Mengistu, D. K. (2023). Indigenous agricultural knowledge: A neglected human-based resource for sustainable crop protection and production. Heliyon, 9(1). https://doi.org/10.1016/j.heliyon.2023.e12978\u003c/li\u003e\n\u003cli\u003eTameshwar, J., Jangde, J., \u0026amp; Jaiswal, B. (2021). Role of indigenous technical knowledge (ITK) in aquaculture. International Journal of Agriculture, Environment and Biotechnology, 3(12), 1–8. https://agriallis.com/wp-content/uploads/2021/12/ROLE-OF-INDIGENOUS-TECHNICAL-KNOWLEDGE-ITK-IN-AQUACULTURE.pdf\u003c/li\u003e\n\u003cli\u003eAdedokun, T. (2024). Integration of indigenous knowledge and modern practices in upland rice cultivation. Retrieved from https://www.researchgate.net/publication/386985889_Integration_of_Indigenous_Knowledge_and_Modern_Practices_in_Upland_Rice_Cultivation\u003c/li\u003e\n\u003cli\u003eAdefila, A. O., Ajayi, O. O., Toromade, A. S., \u0026amp; Sam-Bulya, N. J. (2024). Integrating traditional knowledge with modern agricultural practices: A sociocultural framework for sustainable development. World Journal of Biology Pharmacy and Health Sciences, 20(02), 125–135. https://doi.org/10.30574/wjbphs.2024.20.2.0850\u003c/li\u003e\n\u003cli\u003eModi, L. D. (2025). Sustainable farming practices in North Eastern India: A case study of Arunachal Pradesh. Journal of Emerging Technologies and Innovative Research, 12(5), 28–40. https://www.jetir.org/papers/JETIR2505596.pdf\u003c/li\u003e\n\u003cli\u003eWilder, B. T., O’meara, C., Monti, L., \u0026amp;Nabhan, G. P. (2016). The importance of indigenous knowledge in curbing the loss of language and biodiversity. BioScience, 66(6), 499–509. https://doi.org/10.1093/biosci/biw026\u003c/li\u003e\n\u003cli\u003eMakondo, C. C., \u0026amp; Thomas, D. S. (2018). Climate change adaptation: Linking indigenous knowledge with western science for effective adaptation. Environmental science \u0026amp; policy, 88, 83–91. https://doi.org/10.1016/j.envsci.2018.06.014\u003c/li\u003e\n\u003cli\u003eVijayKumar, R. (2019). Integrating indigenous knowledge and traditional practices for biodiversity conservation in a modern world. Environmental Reports. https://doi.org/10.51470/ER.2019.1.2.04\u003c/li\u003e\n\u003cli\u003eGautam, S. K. (2019). The role of indigenous knowledge in biodiversity conservation: Integrating traditional practices with modern environmental approaches. Environmental Reports: An International Journal, 1(2), 1–3. https://doi.org/10.51470/ER.2019.1.2.01\u003c/li\u003e\n\u003cli\u003eNyong, A., Adesina, F., \u0026amp; Osman Elasha, B. (2007). The value of indigenous knowledge in climate change mitigation and adaptation strategies in the African Sahel. Mitigation and Adaptation strategies for global Change, 12(5), 787–797. https://doi.org/10.1007/s11027-007-9099-0\u003c/li\u003e\n\u003cli\u003eMugwisi, T., Ocholla, D., \u0026amp; Mostert, J. (2012). Is indigenous knowledge accessed and used by agricultural researchers and extension workers in Zimbabwe?. Innovation: journal of appropriate librarianship and information work in Southern Africa, 2012(44), 101–125. https://hdl.handle.net/10520/EJC127159\u003c/li\u003e\n\u003cli\u003eFile, D. J. M. B., \u0026amp; Nhamo, G. (2023). Farmers’ choice for indigenous practices and implications for climate-smart agriculture in northern Ghana. Heliyon, 9(11). https://doi.org/10.1016/j.heliyon.2023.e22162\u003c/li\u003e\n\u003cli\u003eNur Sohad, M. K., \u0026amp; Mafrolla, E. (2025). Bridging science and society: The integration of indigenous and scientific knowledge management. Journal of Knowledge Management, 29(7), 2258–2284. https://doi.org/10.1108/JKM-11-2024-1326\u003c/li\u003e\n\u003cli\u003ePraveenkumar, C., Saravanan, S., \u0026amp; Pradeep, S. (2025). Indigenous Knowledge (IK) for Agriculture. In Encyclopedia of Disaster Risk Reduction (pp. 1–9). Singapore: Springer Nature Singapore.\u003c/li\u003e\n\u003cli\u003eAltieri, M. A. (2018). Agroecology: the science of sustainable agriculture. CrC press. https://doi.org/10.1201/9780429495465?urlappend=%3Futm_source%3Dresearchgate\u003c/li\u003e\n\u003cli\u003eBerkes, F., Colding, J., \u0026amp; Folke, C. (2000). Rediscovery of traditional ecological knowledge as adaptive management. Ecological applications, 10(5), 1251–1262. https://doi.org/10.1890/1051-0761(2000)010[1251:ROTEKA]2.0.CO;2\u003c/li\u003e\n\u003cli\u003eEsmail, N., McPherson, J. M., Abulu, L., Amend, T., Amit, R., Bhatia, S., Bikaba, D., Brichieri-Colombi, T. A., Brown, J., Buschman, V., Fabinyi, M., Farhadinia, M., Ghayoumi, R., Hay-Edie, T., Horigue, V., Jungblut, V., Jupiter, S., Keane, A., Macdonald, D. W., Mahajan, S. L., … Wintle, B. (2023). What’s on the horizon for community-based conservation? Emerging threats and opportunities. Trends in Ecology \u0026amp; Evolution, 38(7), 666–680. https://doi.org/10.1016/j.tree.2023.02.008\u003c/li\u003e\n\u003cli\u003eGemechis, B. M., Bedadi, B., Dalle, G., \u0026amp; Tassie, N. (2025). Nature-based solutions for urban climate resilience: Implementation, contribution, and effectiveness. Nature-Based Solutions, 8, 100245. https://doi.org/10.1016/j.nbsj.2025.100245\u003c/li\u003e\n\u003cli\u003eBiggs, S., Justice, S., \u0026amp; Lewis, D. (2011). Patterns of rural mechanisation, energy and employment in South Asia: reopening the debate. Economic and Political Weekly, 78–82. https://www.jstor.org/stable/41151843\u003c/li\u003e\n\u003cli\u003eOlawuyi, S. O., Ijila, O. J., Adegbite, A., Olawuyi, T. D., \u0026amp; Farayola, C. O. (2024). Smallholder farmers' use of indigenous knowledge practices in agri-food systems: Contribution of food security attainment drive. Research on World Agricultural Economy, 5(2), 45–67. https://doi.org/10.36956/rwae.v5i2.1056\u003c/li\u003e\n\u003cli\u003eMadsen, S., Laske, E., Fisher, J., Ndiereby Sall, A., Enloe, S., \u0026amp; Bezner Kerr, R. (2025). What good is agroecology? Predominant narratives about agroecology in Africa. Journal of Rural Studies, 118, Article 103706. https://doi.org/10.1016/j.jrurstud.2025.103706\u003c/li\u003e\n\u003cli\u003ePrincy, D. (2022). A comparative study of modern and traditional agricultural system in India. International Journal of Novel Research and Development, 7(8), 321–324. https://ijnrd.org/viewpaperforall.php?paper=IJNRD2208088#:~:text=%3A-,http%3A//doi.one/10.1729/Journal.31300,-Authors\u003c/li\u003e\n\u003cli\u003eKhumalo, T. A., Chakale, M. V., Asong, J. A., Aremu, A. O., \u0026amp; Amoo, S. O. (2025). Indigenous farming methods and crop management practices used by local farmers in Madibeng local municipality, South Africa. Scientific Reports. https://doi.org/10.1038/s41598-025-91210-w\u003c/li\u003e\n\u003cli\u003eKala, C. P. (2014). Changes in Traditional Agricultural Ecosystems in Rawain Valley, Uttarakhand State, India. Applied Ecology and Environmental Sciences, 2(4), 90–93. https://doi.org/10.12691/aees-2-4-1\u003c/li\u003e\n\u003cli\u003eGovender, Nadaraj. 2019. “Subsistence Farmers’ Knowledge in Developing Integrated Critical Pedagogy Education Curricula.” Education as Change 23(1). Pretoria: University of KwaZulu-Natal, South Africa. https://doi.org/10.25159/1947-9417/5841\u003c/li\u003e\n\u003cli\u003eAndrieu, N., Blundo-Canto, G., Chia, E., Diman, J. L., Dugué, P., Fanchone, A., Howland, F., Ott, S., \u0026amp; Poulayer, C. (2022). Scenarios for an agroecological transition of smallholder family farmers: a case study in Guadeloupe. Agronomy for Sustainable Development, 42(95). https://doi.org/10.1007/s13593-022-00828-x\u003c/li\u003e\n\u003cli\u003eCatalogna M, Dubois M, Navarrete M (2018) Diversity of experimentation by farmers engaged in agroecology. Agron Sustain Dev 38:50. https://doi.org/10.1007/s13593-018-0526-2\u003c/li\u003e\n\u003cli\u003eAare, A. K., Lund, S., \u0026amp; Hauggaard-Nielsen, H. (2021). Exploring transitions towards sustainable farming practices through participatory research–The case of Danish farmers' use of species mixtures. Agricultural systems, 189, 103053. https://doi.org/10.1016/j.agsy.2021.103053\u003c/li\u003e\n\u003cli\u003eProst, L., Martin, G., Ballot, R., Benoit, M., Bergez, J.-E., Bockstaller, C., Cerf, M., Deytieux, V., Hossard, L., Jeuffroy, M.-H., Leclère, M., Le Bail, M., Le Gal, P.-Y., Loyce, C., Merot, A., Meynard, J.-M., Mignolet, C., Munier-Jolain, N., Novak, S., Parnaudeau, V., Poux, X., Sabatier, R., Salembier, C., Scopel, E., … van der Werf, H. (2023). Key research challenges to supporting farm transitions to agroecology in advanced economies: A review. Agronomy for Sustainable Development, 43(11). https://doi.org/10.1007/s13593-022-00855-8\u003c/li\u003e\n\u003cli\u003eBajaracharya, R. M. (2001). Land preparation: an integral part of farming systems in the mid-hills of Nepal. Nepal Journal of Science and Technology, 3(1).\u003c/li\u003e\n\u003cli\u003eDixit, J., Sharma, S., \u0026amp; Ali, M. (2014). Present status, potential and future needs for mechanization of agricultural operations in Jammu and Kashmir state of India. Agricultural Engineering International: CIGR Journal, 16(3), 87–96. http://www.cigrjournal.org/index.php/Ejounral/article/viewFile/2990/1934\u003c/li\u003e\n\u003cli\u003eLepcha, B., Avasthe, R., Ngachan, S. V., \u0026amp; Phukan, P. (2017). Traditional Agricultural Tools and Implements Used by Ethnic Groups of Farmers in Sikkim. Asian Agri-History, 21(4). https://www.researchgate.net/profile/Ravikant-Avasthe/publication/351226064_Traditional_Agricultural_Tools_and_Implements_Used_by_Ethnic_Groups_of_Farmers_in_Sikkim/links/608bca8792851c490fa7cc31/Traditional-Agricultural-Tools-and-Implements-Used-by-Ethnic-Groups-of-Farmers-in-Sikkim.pdf\u003c/li\u003e\n\u003cli\u003eSingh, S. (2019). Feasibility assessment of Pant-ICAR animal drawn six-in-one tillage outfit in Kumaon hills of Uttarakhand. Indian Journal of Agricultural Sciences, 43, 39–45. https://doi.org/10.52151/\u003c/li\u003e\n\u003cli\u003eAgeze, M., Alebachew, M., Tikuneh, D., \u0026amp; Dires, A. (2024). Mechanization technologies for smallholder farmers in the Fogera plain (pp. 10–19).\u003c/li\u003e\n\u003cli\u003eSims, B., Corsi, S., Gbehounou, G., Kienzle, J., Taguchi, M., \u0026amp; Friedrich, T. (2018). Sustainable Weed Management for Conservation Agriculture: Options for Smallholder Farmers. Agriculture, 8(8), 118. https://doi.org/10.3390/agriculture8080118\u003c/li\u003e\n\u003cli\u003eBlanco-Sepúlveda, R., Aguilar-Carrillo, A., \u0026amp; Lima, F. (2021). Impact of weed control by hand tools on soil erosion under a no-tillage system cultivation. Agronomy, 11(5), 974. https://doi.org/10.3390/agronomy11050974\u003c/li\u003e\n\u003cli\u003eWoyessa, D. (2022). Weed control methods used in agriculture. American Journal of Life Science and Innovation, 1(1), 19–26. https://doi.org/10.54536/ajlsi.v1i1.413\u003c/li\u003e\n\u003cli\u003eIslam, M. M., Rahman, M. M., Sarker, S. S., Islam, M. N., Bhuiyan, F. H., Khanam, M. S., \u0026amp; Alam, I. (2024). Beyond yield: Unveiling farmer perceptions and needs regarding weed management in Bangladesh. Frontiers in Bioengineering and Biotechnology, 12, Article 1410128. https://doi.org/10.3389/fbioe.2024.1410128\u003c/li\u003e\n\u003cli\u003eLaizer, H. C., Chacha, M. N., \u0026amp; Ndakidemi, P. A. (2019). Farmers’ knowledge, perceptions and practices in managing weeds and insect pests of common bean in Northern Tanzania. Sustainability, 11(15), 4076. https://doi.org/10.3390/su11154076\u003c/li\u003e\n\u003cli\u003eAluko, O. A., \u0026amp; Adelakun, O. J. (2024). Farmers’ perception of weed infestation and management in some Agrarian Communities of Southern nigeria. Journal of Agriculture and Food Sciences, 22(1), 1–13. https://doi.org/10.4314/jafs.v22i1.1\u003c/li\u003e\n\u003cli\u003eArjjumend, H. (2004). Indigenous practices of post harvest storage among tribal communities of central India. Leisa India, 6(8). https://www.researchgate.net/publication/380929137\u003c/li\u003e\n\u003cli\u003eNegi, T., \u0026amp; Solanki, D. (2014). Indigenous post-harvest management of wheat crop among kumaon region farm families. Ind. J. Extn. Educ. \u0026amp; RD, 22, 185–189. http://www.rseeudaipur.org/wp-content/uploads/2014/08/41-2013_Tara.pdf\u003c/li\u003e\n\u003cli\u003eSwamy, S. V. S., \u0026amp; Wesley, B. J. (2020). Traditional knowledge of post-harvest crop handling by tribal farmers of northern Andhra Pradesh. Indian Journal of Ecology, 47(2), 383–389. https://www.researchgate.net/profile/Gopala-Swamy/publication/343812901_Traditional_Knowledge_of_Post-harvest_Crop_Handling_by_Tribal_Farmers_of_Northern_Andhra_Pradesh/links/5f412bc0458515b7293faa7a/Traditional-Knowledge-of-Post-harvest-Crop-Handling-by-Tribal-Farmers-of-Northern-Andhra-Pradesh.pdf\u003c/li\u003e\n\u003cli\u003eStathers, T., Holcroft, D., Engelbert, M., Ravat, Z., \u0026amp; Marion, P. (2025). The evidence on crop postharvest loss reduction interventions for sub-Saharan African and South Asian food systems: A systematic scoping review update 2024. Journal of Stored Products Research, 114, 102727. https://doi.org/10.1016/j.jspr.2025.102727\u003c/li\u003e\n\u003cli\u003eSwangla, S., Vellaichamy, S., Singh, P., Burman, R. R., Priya, S., Palanisamy, V., ... \u0026amp; Singh, T. (2021). A note on indigenous technical knowledge in Kinnaur and Lahaul-Spiti districts of Himachal Pradesh. Indian Journal of Traditional Knowledge (IJTK), 20(2), 520–531. http://op.niscair.res.in/index.php/IJTK/article/view/29301\u003c/li\u003e\n\u003cli\u003eKarthikeyan, C., Veeraragavathatham, D., Karpagam, D., \u0026amp; Firdouse, S. A. (2009). Traditional storage practices. Indian Journal of Traditional Knowledge, 8(4), 564–568. https://www.researchgate.net/profile/Karthikeyan-Chandrasekaran-5/publication/228344463_Traditional_storage_practices/links/5f7ff68c299bf1b53e18473d/Traditional-storage-practices.pdf\u003c/li\u003e\n\u003cli\u003eBisheko, M. J., G, R., Ibirogba, D., \u0026amp; Kikonyogo, S. (2023). Traditional grain storage methods: An exploration of their contribution to the sustainability of Indian agriculture. Cogent Food \u0026amp; Agriculture, 9(2). https://doi.org/10.1080/23311932.2023.2276559\u003c/li\u003e\n\u003cli\u003eVaidheki, M., Nivetha, C., \u0026amp; Gobikashri, N. (2024). An overview of traditional indigenous storage infrastructures and practices in India and Tamil Nadu. International Journal of Agriculture Extension and Social Development, 7(SP-Issue 12), 73–76. https://doi.org/10.33545/26180723.2024.v7.i12Sb.1455\u003c/li\u003e\n\u003cli\u003eAdewoyin, O., Ibidapo, A., Babatola, L., Fayose, F., Ekeocha, A., \u0026amp; Apata, T. (2022). Indigenous and Improved Postharvest Handling Methods and Processing of Fruits. https://doi.org/10.5772/intechopen.102668\u003c/li\u003e\n\u003cli\u003eJarman, A., Thompson, J., Mcguire, E., Reid, M., Rubsam, S., Becker, K., \u0026amp; Mitcham, E. (2023). Postharvest technologies for small-scale farmers in low-and middle-income countries: A call to action. Postharvest Biology and Technology, 206, 112491. https://doi.org/10.1016/j.postharvbio.2023.112491\u003c/li\u003e\n\u003cli\u003eKom, Z., Nicolau, M. D., \u0026amp; Nenwiini, S. C. (2024). The use of Indigenous Knowledge Systems practices to enhance food security in Vhembe District, South Africa. Agricultural Research, 13, 599–612. https://doi.org/10.1007/s40003-024-00716-8\u003c/li\u003e\n\u003cli\u003ePandey, H. P., Aryal, S., Poudyal, B. H., Bhusal, S., \u0026amp; Maraseni, T. N. (2025). Navigating climate change: Impacts on indigenous practices concerning agrifood systems in Nepal’s socio-ecological landscape. Sustainable Horizons, 14, 100143. https://doi.org/10.1016/j.horiz.2025.100143\u003c/li\u003e\n\u003cli\u003eChandola, M., Rathore, S., \u0026amp; Kumar, B. (2011). Indigenous pest management practices prevalent among hill farmers of Uttarakhand. Indian Journal of Traditional Knowledge, 10(2), 311–315. https://www.researchgate.net/profile/Surya-Rathore/publication/343818742_Indigenous_pest_Management_practices_prevalent_among_hill_farmers_of_Uttarakhand/links/5f7e966e299bf1b53e15f680/Indigenous-pest-Management-practices-prevalent-among-hill-farmers-of-Uttarakhand.pdf\u003c/li\u003e\n\u003cli\u003eDivya, S. T., Verma, M., Gupta, D., \u0026amp; Kumar, S. (2025). Indigenous traditional practices for the insect-pest and weed management in Bilaspur and Una Districts of Himachal Pradesh (India). Age, 51(45), 55. https://www.researchgate.net/profile/Suresh-Kumar-303/publication/388070572_Indigenous_traditional_practices_for_the_insect-pest_and_weed_management_in_Bilaspur_and_Una_Districts_of_Himachal_Pradesh_India/links/6789421075d4ab477e47a91d/Indigenous-traditional-practices-for-the-insect-pest-and-weed-management-in-Bilaspur-and-Una-Districts-of-Himachal-Pradesh-India.pdf\u003c/li\u003e\n\u003cli\u003eAngon, P. B., Mondal, S., Jahan, I., Datto, M., Antu, U. B., Ayshi, F. J., \u0026amp; Islam, M. S. (2023). Integrated pest management (IPM) in agriculture and its role in maintaining ecological balance and biodiversity. Advances in Agriculture, 2023(1), 5546373. https://doi.org/10.1155/2023/5546373\u003c/li\u003e\n\u003cli\u003eZhou, W., Arcot, Y., Medina, R. F., Bernal, J., Cisneros-Zevallos, L., \u0026amp; Akbulut, M. E. (2024). Integrated pest management: an update on the sustainability approach to crop protection. ACS omega, 9(40), 41130–41147. https://doi.org/10.1021/acsomega.4c06628\u003c/li\u003e\n\u003cli\u003ePretty, J. N., Noble, A. D., Bossio, D., Dixon, J., Hine, R. E., Penning de Vries, F. W., \u0026amp; Morison, J. I. (2006). Resource-conserving agriculture increases yields in developing countries. https://doi.org/10.1021/es062733a\u003c/li\u003e\n\u003cli\u003eMehla, M. K. (2023). Reducing reliance on chemical pesticides and promoting sustainable agriculture: role of integrated pest management strategies in horticulture. Shweta Sharma, 175. https://www.researchgate.net/profile/Pragya-Mehta/publication/370871974_Impact_of_Microplastics_on_Soil_and_Freshwater_Environment/links/64671de3702026631659679e/Impact-of-Microplastics-on-Soil-and-Freshwater-Environment.pdf#page=180\u003c/li\u003e\n\u003cli\u003eIjatuyi, E. J., Lamm, A., Yessoufou, K., Suinyuy, T., \u0026amp; Patrick, H. O. (2025). Integration of indigenous knowledge with scientific knowledge: A systematic review. Environmental Science \u0026amp; Policy, 170, 104119. https://doi.org/10.1016/j.envsci.2025.104119\u003c/li\u003e\n\u003cli\u003eLimpo, S. Y., Fahmid, I. M., Fattah, A., Rauf, A. W., Surmaini, E., Muslimin, ... \u0026amp; Andri, K. B. (2022). Integrating indigenous and scientific knowledge for decision making of rice farming in South Sulawesi, Indonesia. Sustainability, 14(5), 2952. https://doi.org/10.3390/su14052952\u003c/li\u003e\n\u003cli\u003eDorji, T., Rinchen, K., Morrison-Saunders, A., Blake, D., Banham, V., \u0026amp; Pelden, S. (2024). Understanding How Indigenous Knowledge Contributes to Climate Change Adaptation and Resilience: A Systematic Literature Review. Environmental management, 74(6), 1101–1123. https://doi.org/10.1007/s00267-024-02032-x\u003c/li\u003e\n\u003cli\u003eOlarewaju, O. O., Fawole, O. A., Baiyegunhi, L. J. S., \u0026amp; Mabhaudhi, T. (2025). Integrating Sustainable Agricultural Practices to Enhance Climate Resilience and Food Security in Sub-Saharan Africa: A Multidisciplinary Perspective. Sustainability, 17(14), 6259. https://doi.org/10.3390/su17146259\u003c/li\u003e\n\u003cli\u003eTripp, R. (2001). Seed provision \u0026amp; agricultural development: The institutions of rural change. Overseas Development Institute. 224–234. https://doi.org/10.2307/1514994\u003c/li\u003e\n\u003cli\u003eCommission on Genetic Resources for Food. (2010). The second report on the state of the world's plant genetic resources for food and agriculture (Vol. 2). Food \u0026amp; Agriculture Organization of the UN (FAO). https://www.fao.org/4/i1500e/i1500e00.htm\u003c/li\u003e\n\u003cli\u003eAoun, M. (2024). Unlocking heirloom diversity: A pathway to bridging global challenges in modern apple cultivation. Frontiers in Horticulture, 2, Article 1268970. https://doi.org/10.3389/fhort.2023.1268970\u003c/li\u003e\n\u003cli\u003eMorariu, P. A., Mureșan, A. E., Sestras, A. F., Tanislav, A. E., Dan, C., Mareși, E., Militaru, M., Mureșan, V., \u0026amp; Sestras, R. E. (2025). A Comprehensive Morphological, Biochemical, and Sensory Study of Traditional and Modern Apple Cultivars. Horticulturae, 11(3), 264. https://doi.org/10.3390/horticulturae11030264\u003c/li\u003e\n\u003cli\u003eSen, V., Rana, R. S., \u0026amp; Chauhan, R. C. (2015). Impact of climate variability on apple production and diversity in Kullu valley, Himachal Pradesh. Indian Journal of Horticulture, 72(1), 14–20. https://doi.org/10.5958/0974-0112.2015.00003.1\u003c/li\u003e\n\u003cli\u003eHartta, Y. S. (2014). Climate change and apple productions in Himachal Pradesh: A study of last two decades. Academic Discourse, 3(1), 75–81.\u003c/li\u003e\n\u003cli\u003eGonzález Noguer, C., Delgado, A., Else, M., \u0026amp; Hadley, P. (2023). Apple (Malus × domestica Borkh.) dormancy – a review of regulatory mechanisms and agroclimatic requirements. Frontiers in Horticulture, 2, Article 1217689. https://doi.org/10.3389/fhort.2023.1217689\u003c/li\u003e\n\u003cli\u003ePadulosi, S., Thompson, J., \u0026amp; Rudebjer, P. G. (2013). Fighting poverty, hunger and malnutrition with neglected and underutilized species: needs, challenges and the way forward. https://doi.org/10.13140/RG.2.1.3494.3842\u003c/li\u003e\n\u003cli\u003eKulkarni, K. (2021). Quantifying vulnerability of crop yields in India to weather extremes. Available at SSRN 4794333. https://dx.doi.org/10.2139/ssrn.4794333\u003c/li\u003e\n\u003cli\u003eKumar, R., \u0026amp; Gautam, H. R. (2014). Climate change and its impact on agricultural productivity in India. Journal of Climatology \u0026amp; Weather Forecasting, 2(1), 1–3. https://doi.org/10.4172/2332-2594.1000109\u003c/li\u003e\n\u003cli\u003eKhanam, R., Bhaduri, D., \u0026amp; Nayak, A. K. (2018). Crop diversification. Indian Farming, 68(01), 31–32. https://www.researchgate.net/profile/Debarati-Bhaduri/publication/323144780_Crop_diversification_an_important_way-out_for_doubling_farmers'_income_Indian_Farming/links/5f7ebc9192851c14bcb690f7/Crop-diversification-an-important-way-out-for-doubling-farmers-income-Indian-Farming.pdf\u003c/li\u003e\n\u003cli\u003ePiedra-Bonilla, E. B., Da Cunha, D. A., Braga, M. J., \u0026amp; Oliveira, L. R. (2025). Extreme weather events and crop diversification: climate change adaptation in Brazil. Mitigation and Adaptation Strategies for Global Change, 30(5), 28. https://doi.org/10.1007/s11027-025-10211-2\u003c/li\u003e\n\u003cli\u003eNTAMACK, J. M. M. (2020). The Price Risk Management Trough Crop Diversification: The Portfolio Theory Can Be Extended To Cash Crops? IOSR Journal of Economics and Finance (IOSR-JEF), 11(5 Ser. III), 9–19. https://doi.org/10.9790/5933-1105030919\u003c/li\u003e\n\u003cli\u003eAbro, A. A., \u0026amp; Panhwar, I. A. (2020). Impact of Various Factors on Crop Diversification Towards High Value Crops in Pakistan: An Empirical Analysis by using THI. Sarhad Journal of Agriculture, 36(4). https://doi.org/10.17582/journal.sja/2020/36.4.1254.1265\u003c/li\u003e\n\u003cli\u003eAssouto, A. B., Houensou, D. A., \u0026amp; Semedo, G. (2020). Price risk and farmers’ decisions: A case study from Benin. Scientific African, 8, e00311. https://doi.org/10.1016/j.sciaf.2020.e00311\u003c/li\u003e\n\u003cli\u003eBarman, B., Ghosh, B., Ranjan, A., \u0026amp; Quader, S. W. (2024). The Potential of Indigenous Technological Knowledge for Sustainable and Climate-Resilient Agriculture. International Journal of Environment and Climate Change, 14(8), 490–501. https://doi.org/10.9734/ijecc/2024/v14i84369\u003c/li\u003e\n\u003cli\u003eAntonelli, C., Coromaldi, M., \u0026amp; Pallante, G. (2022). Crop and income diversification for rural adaptation: Insights from Ugandan panel data. Ecological Economics, 195, 107390. https://doi.org/10.1016/j.ecolecon.2022.107390\u003c/li\u003e\n\u003cli\u003eBisht, I. S., Mehta, P. S., \u0026amp; Bhandari, D. C. (2007). Traditional crop diversity and its conservation on-farm for sustainable agricultural production in Kumaon Himalaya of Uttaranchal state: a case study. Genetic resources and crop evolution, 54(2), 345–357. https://doi.org/10.1007/s10722-005-5562-5\u003c/li\u003e\n\u003cli\u003eNishad, R., Sahu, S. L., \u0026amp; Verma, P. (2020). Traditional crop varieties in India: Importance and conservation. NeuroQuantology, 18(9), 228–233. https://doi.org/10.48047/nq.2020.18.9.NQ20238\u003c/li\u003e\n\u003cli\u003eHailu, F. (2025). The role of agrobiodiversity and diverse causes of its losses and methods of conservation: A review. Food and Humanity, 100500. https://doi.org/10.1016/j.foohum.2025.100500\u003c/li\u003e\n\u003cli\u003eKartini, N. L., Saifulloh, M., Trigunasih, N. M., Sukmawati, N. M. S., Mega, I. M. (2024). Impact of Long-Term Continuous Cropping on Soil Nutrient Depletion. Ecological Engineering \u0026amp; Environmental Technology, 25(11), 18–29. https://doi.org/10.12912/27197050/191953\u003c/li\u003e\n\u003cli\u003eDerpsch, R., Kassam, A., Reicosky, D., Friedrich, T., Calegari, A., Basch, G., Gonzalez-Sanchez, E., \u0026amp; Rheinheimer dos Santos, D. (2024). Nature’s laws of declining soil productivity and Conservation Agriculture. Soil Security, 14, 100127. https://doi.org/10.1016/j.soisec.2024.100127\u003c/li\u003e\n\u003cli\u003eȚopa, D.-C., Căpșună, S., Calistru, A.-E., \u0026amp; Ailincăi, C. (2025). Sustainable Practices for Enhancing Soil Health and Crop Quality in Modern Agriculture: A Review. Agriculture, 15(9), 998. https://doi.org/10.3390/agriculture15090998\u003c/li\u003e\n\u003cli\u003eNautiyal, P., Bhaskar, R., Papnai, G., Joshi, N., \u0026amp; Supyal, V. (2020). Impact of climate change on apple phenology and adaptability of Anna variety (low chilling cultivar) in lower hills of Uttarakhand. Int. J. Curr. Microbiol. App. Sci, 9(9), 453–460. https://doi.org/10.20546/ijcmas.2020.909.057\u003c/li\u003e\n\u003cli\u003eNegi, R., \u0026amp; Kandpal, A. S. (2023). A study on constraints faced by apple growers in production and marketing of apple in Uttarakhand. Pantnagar Journal of Research, 21(1), 53–57. https://www.gbpuat.res.in/paperdetail.php?paper=1386\u003c/li\u003e\n\u003cli\u003eChand, R. (2022). Agricultural challenges and policies for the 21st century. NABARD Research and Policy Series, (2), 36. https://www.niti.gov.in/sites/default/files/2022-07/Paper_Agri-Challenges-and-Policies_NABARD.pdf\u003c/li\u003e\n\u003cli\u003eSibhatu, K. T., Krishna, V. V., \u0026amp; Qaim, M. (2015). Production diversity and dietary diversity in smallholder farm households. Proceedings of the national academy of sciences, 112(34), 10657–10662. https://doi.org/10.1073/pnas.1510982112\u003c/li\u003e\n\u003cli\u003eMastura, T., Begum, I. A., Kishore, A., Jackson, T., Woodhill, J., Chatterjee, K., \u0026amp; Alam, M. J. (2023). Diversified agriculture leads to diversified diets: panel data evidence from Bangladesh. Frontiers in Sustainable Food Systems, 7, 1044105. https://doi.org/10.3389/fsufs.2023.1044105\u003c/li\u003e\n\u003cli\u003eSingh, S., Jones, A. D., DeFries, R. S., \u0026amp; Jain, M. (2020). The association between crop and income diversity and farmer intra-household dietary diversity in India. Food Security, 12(2), 369–390. https://doi.org/10.1007/s12571-020-01012-3\u003c/li\u003e\n\u003cli\u003ePitt, W. J., Kairy, L. R., Mora, V., Peirce, E., Jensen, A. S., Bradford, B., ... \u0026amp; Nachappa, P. (2024). Landscapes with higher crop diversity have lower aphid species richness but higher plant virus prevalence. Journal of Applied Ecology, 61(7), 1573–1586. https://doi.org/10.1111/1365-2664.14687?urlappend=%3Futm_source%3Dresearchgate\u003c/li\u003e\n\u003cli\u003eZhang, Y., Bohan, D. A., Zhang, C., Cong, W. F., Munier-Jolain, N., \u0026amp; Bedoussac, L. (2025). Crop diversity reduces pesticide use more efficiently with refined diversification strategies. Communications Earth \u0026amp; Environment, 6(1), 460. https://doi.org/10.1038/s43247-025-02418-7\u003c/li\u003e\n\u003cli\u003eKhan, Z., Midega, C., Pittchar, J., Pickett, J., \u0026amp; Bruce, T. (2012). Push–pull technology: a conservation agriculture approach for integrated management of insect pests, weeds and soil health in Africa: UK Government's foresight food and farming futures project. In Sustainable intensification (pp. 162–170). Routledge. https://doi.org/10.3763/ijas.2010.0558?urlappend=%3Futm_source%3Dresearchgate\u003c/li\u003e\n\u003cli\u003eLenné, J., \u0026amp; Wood, D. (2024). Crop Diversity in Agroecosystems for Pest Management and Food Production. Plants, 13(8), 1164. https://doi.org/10.3390/plants13081164\u003c/li\u003e\n\u003cli\u003eDespotović, J., Rodić, V., \u0026amp; Caracciolo, F. (2021). Farmers’ environmental awareness: Construct development, measurement, and use. Journal of Cleaner Production, 295, 126378. https://doi.org/10.1016/j.jclepro.2021.126378\u003c/li\u003e\n\u003cli\u003eNaazie, G. K., Dakyaga, F., \u0026amp; Derbile, E. K. (2023). Agro-ecological intensification for climate change adaptation: Tales on soil and water management practices of smallholder farmers in rural Ghana. Discover Sustainability, 4(1), 27. https://doi.org/10.21203/rs.3.rs-2468502/v1\u003c/li\u003e\n\u003cli\u003eBurgess, A. J., Cano, M. E. C., \u0026amp; Parkes, B. (2022). The deployment of intercropping and agroforestry as adaptation to climate change. Crop and Environment, 1(2), 145–160. https://doi.org/10.1016/j.crope.2022.05.001\u003c/li\u003e\n\u003cli\u003eLi, C., Stomph, T. J., Makowski, D., Li, H., Zhang, C., Zhang, F., \u0026amp; Van der Werf, W. (2023). The productive performance of intercropping. Proceedings of the National Academy of Sciences, 120(2), e2201886120. https://doi.org/10.1073/pnas.2201886120\u003c/li\u003e\n\u003cli\u003eMacLaren, C., Waswa, W., Aliyu, K. T., Claessens, L., Mead, A., Schöb, C., ... \u0026amp; Storkey, J. (2023). Predicting intercrop competition, facilitation, and productivity from simple functional traits. Field Crops Research, 297, 108926. https://doi.org/10.1016/j.fcr.2023.108926\u003c/li\u003e\n\u003cli\u003eMoreira, B., Gonçalves, A., Pinto, L., Prieto, M. A., Carocho, M., Caleja, C., \u0026amp; Barros, L. (2024). Intercropping systems: An opportunity for environment conservation within nut production. Agriculture, 14(7), 1149. https://doi.org/10.3390/agriculture14071149\u003c/li\u003e\n\u003cli\u003eBowles, T. M., Mooshammer, M., Socolar, Y., Calderón, F., Cavigelli, M. A., Culman, S. W., ... \u0026amp; Grandy, A. S. (2020). Long-term evidence shows that crop-rotation diversification increases agricultural resilience to adverse growing conditions in North America. One Earth, 2(3), 284–293. https://doi.org/10.1016/j.oneear.2020.02.007\u003c/li\u003e\n\u003cli\u003eLiu, C., Plaza-Bonilla, D., Coulter, J. A., Kutcher, H. R., Beckie, H. J., Wang, L., ... \u0026amp; Gan, Y. (2022). Diversifying crop rotations enhances agroecosystem services and resilience. Advances in Agronomy, 173, 299–335. https://doi.org/10.1016/bs.agron.2022.02.007\u003c/li\u003e\n\u003cli\u003eZou, Y., Liu, Z., Chen, Y., Wang, Y., \u0026amp; Feng, S. (2024). Crop rotation and diversification in China: Enhancing sustainable agriculture and resilience. Agriculture, 14(9), 1465. https://doi.org/10.3390/agriculture14091465\u003c/li\u003e\n\u003cli\u003eLin, B. B. (2011). Resilience in agriculture through crop diversification: adaptive management for environmental change. BioScience, 61(3), 183–193. https://doi.org/10.1525/bio.2011.61.3.4\u003c/li\u003e\n\u003cli\u003eSharma, P., Sharma, P., \u0026amp; Thakur, N. (2024). Sustainable farming practices and soil health: A pathway to achieving SDGs and future prospects. Discover Sustainability, 5(1), 250. https://doi.org/10.1007/s43621-024-00447-4\u003c/li\u003e\n\u003cli\u003eKhatri-Chhetri, A., Aggarwal, P. K., Joshi, P. K., \u0026amp; Vyas, S. (2017). Farmers' prioritization of climate-smart agriculture (CSA) technologies. Agricultural systems, 151, 184–191. https://doi.org/10.1016/j.agsy.2016.10.005\u003c/li\u003e\n\u003cli\u003eBiswal, D., \u0026amp; Bahinipati, C. S. (2025). Farmers’ preference for crop-diversification in India: does crop-insurance play a part?. Mitigation and Adaptation Strategies for Global Change, 30(3), 17. https://doi.org/10.1007/s11027-025-10205-0\u003c/li\u003e\n\u003cli\u003eChhetri, N., Chaudhary, P., Tiwari, P. R., \u0026amp; Yadaw, R. B. (2012). Institutional and technological innovation: Understanding agricultural adaptation to climate change in Nepal. Applied Geography, 33, 142–150. http://dx.doi.org/10.1016/j.apgeog.2011.10.006\u003c/li\u003e\n\u003cli\u003eTharakan, J. (2017). Indigenous knowledge systems for appropriate technology development. Indigenous people, 123, 123–134. https://doi.org/10.5772/intechopen.69889\u003c/li\u003e\n\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"discover-agriculture","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"","sideBox":"Learn more about [Discover Agriculture](https://www.springer.com/journal/44279)","snPcode":"44279","submissionUrl":"https://submission.nature.com/new-submission/44279/3","title":"Discover Agriculture","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"Discover Series","inReviewEnabled":true,"inReviewRevisionsEnabled":true},"keywords":"Indigenous Knowledge, Scientific Knowledge, Crop Diversification, Sustainable Agriculture, Rawain Region, Uttarkashi","lastPublishedDoi":"10.21203/rs.3.rs-8172820/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-8172820/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eAgriculture in the Himalayan region of Uttarakhand, India, is shaped by a unique interplay of Indigenous Knowledge (IK) and Scientific Knowledge (SK) within rugged, fragile landscapes. This study quantitatively assessed the adoption patterns of IK and SK for crop diversification in the Rawain region of Uttarkashi District, surveying 300 farming households across 12 villages at varying altitudes. Results indicate that IK remains dominant in land preparation, weed and post-harvest management, and storage due to its cultural significance and local suitability. In contrast, scientific interventions, particularly pest management strategies and the adoption of hybrid crop varieties, are increasingly employed to address new agronomic challenges. Crop diversification dominated by high-value hybrids such as apples, peas, and tomatoes emerges as a principal income strategy, balancing resilience against climate variability and market risks. Correlation analysis reveals that, while diversification introduces risks such as weather unpredictability and pest outbreaks, farmers perceive pronounced benefits, including improved income, enhanced nutrition, and greater climate resilience. The findings highlight an evolving, pragmatic integration of local traditions and scientific advances. This study highlights the need for policy frameworks and extension models that validate Indigenous practices while promoting scientifically informed innovation to promote sustainable mountain agriculture globally.\u003c/p\u003e","manuscriptTitle":"Indigenous and Scientific Knowledge Integration for Improved Crop Diversification and Sustainability in the Garhwal Himalayas","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2026-01-05 11:26:41","doi":"10.21203/rs.3.rs-8172820/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"decision","content":"Revision requested","date":"2026-01-14T04:33:59+00:00","index":"","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2026-01-08T09:00:18+00:00","index":"hide","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2026-01-04T23:24:16+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"116906720306739171127032027498378156320","date":"2026-01-02T18:21:59+00:00","index":"hide","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2026-01-02T11:09:07+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"27600546455903736630133049960401546509","date":"2026-01-02T10:35:37+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"187219781196885936021349338888956060923","date":"2026-01-02T10:16:35+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"168833200582541013153512163575777347665","date":"2026-01-02T09:23:37+00:00","index":"hide","fulltext":""},{"type":"reviewersInvited","content":"","date":"2026-01-02T09:12:14+00:00","index":"","fulltext":""},{"type":"editorInvited","content":"","date":"2025-12-22T03:10:41+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2025-12-05T09:28:03+00:00","index":"","fulltext":""},{"type":"checksComplete","content":"","date":"2025-12-05T08:13:15+00:00","index":"","fulltext":""},{"type":"submitted","content":"Discover Agriculture","date":"2025-12-05T08:00:45+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"discover-agriculture","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"","sideBox":"Learn more about [Discover Agriculture](https://www.springer.com/journal/44279)","snPcode":"44279","submissionUrl":"https://submission.nature.com/new-submission/44279/3","title":"Discover Agriculture","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"Discover Series","inReviewEnabled":true,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"9c0c6c4b-3046-45d1-8fce-00031651aafc","owner":[],"postedDate":"January 5th, 2026","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"under-review","subjectAreas":[],"tags":[],"updatedAt":"2026-04-29T13:38:44+00:00","versionOfRecord":[],"versionCreatedAt":"2026-01-05 11:26:41","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-8172820","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-8172820","identity":"rs-8172820","version":["v1"]},"buildId":"XKTyCvWXoU3ODBz1xrDgd","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}