Assessing the Climate Adaptive Potential of Imported Chili in Comparison with Local Cultivars through Germination Performance Analysis

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This experiment examines how three different chili cultivars Tanjung, Unpad, and Osaka perform in the germination and early growth phases while considering a wide range of environmental conditions. Research conducted in Jatinangor, Sumedang Regency, Indonesia, highlights the differences between cultivars and the varied possibilities for adaptability each variation possesses. Results Among them, Tanjung stands out as the most promising cultivar; its robust performance is demonstrated by its high germination index 91.7. Notable features of Osaka include the highest biomass output (1.429 g), the best water usage efficiency (WUE) at 0.015 g/liter, and the best distribution uniformity (91.2%) and application efficiency (73.6%) under different irrigation conditions. Tanjung's competitiveness is further evidenced by the fact that it trails Osaka closely on several metrics. Lower performance across criteria for Unpad suggests possible issues with flexibility. Conclusion The value of this information becomes apparent when it comes to well-informed breeding programs and cultivation techniques, especially considering uncertain climate patterns and global climate change. This research contributes significantly to the body of knowledge, enabling well-informed choices for environmentally dynamic, sustainable chili farming. Seed germination resilience climate adaptation agricultural diversity environmental factors Figures Figure 1 Figure 2 Figure 3 Figure 4 Figure 5 Figure 6 Figure 7 Figure 8 Figure 9 Figure 10 Introduction Chili is one of the most extensively grown and consumed vegetable crops worldwide ( Capsicum annuum L.). Because of its high vitamin, antioxidant, and capsaicinoid content, it has medicinal benefits and great nutritional and economic worth. Chili is commonly grown as a spice, vegetable, or cash crop in the tropics. 7.18 million tons of chili are produced worldwide on 1.5 million hectares [ 1 ]. Indonesia is one of the world's top producers of chili peppers, making chili growing a significant agricultural sector in the nation. Indonesia produces about 5% of the world's total chilies yearly. With a total output of 2.7 million tons, Indonesia was the third-largest producer of chilies worldwide in 2019 [ 2 ]. One vegetable commodity that offers excellent and potential business opportunities in Indonesia is chili. The demand for chili rises annually in tandem with the country's growing population and the emergence of sectors that use chili as a raw material [ 3 ]. The unpredictable local climates and climate change present significant challenges for modern agriculture [ 4 ]. It is essential to comprehend the responses of various chili cultivars to diverse environmental situations to design resilient and adaptable crops [ 5 ]. Chili peppers are widely cultivated in various soil types and climates, and they play a significant role in global agriculture and culinary traditions. Because of the globalization of the food trade, there has been a worldwide interaction of chili germplasm, exposing exotic cultivars to new habitats and posing problems regarding their ability to adapt compared to locally adapted genotypes [ 6 ]. Comprehending the germination patterns of diverse chili genotypes can offer valuable information about their capacity to adjust to various environmental factors, including light intensity, moisture content, humidity, wind speed, and temperature (Praneetha et al., 2017). One of the most critical aspects of the plant life cycle, germination, is what determines crop establishment success and total yield [ 8 ]. Chili peppers are exposed to a wide range of environmental conditions, evaluating their adaptability requires a grasp of the nuances of their germination performance. This scenario is further complicated by genetic variety within chili populations when imported varieties introduce new genetic material into local gene pools [ 9 ]. By thoroughly comparing the germination performance of imported chili varieties to indigenous genotypes, this study seeks to uncover the adaptive potential of these cultivars. The results of this study not only advance our knowledge of the biology of chili peppers but also have more significant implications for crop management, sustainable agriculture, and food security, given the threat of climate change. Materials and methods Research locality and materials The research was conducted at the Bale Tatanen nursery house, Faculty of Agriculture, Padjadjaran University, Jatinangor, Sumedang Regency, at an altitude of 685 meters above sea level and Field Laboratory from October 2023 – December 2023. The materials that were used in the experiments comprising plastic container, laboratorium, knife, stick, scales, wrap, packaging, box, thermometer, hydrometer, thermohygrometer, stationary, label, scale glass, gallon 200 l, lux meter, anemometer, calliper, chlorophyl meter (Konica Minolta SPAD-502Plus (Tokyo, Japan). Three different cultivars were investigated in the climate adaptation experiment that was carried out at Jatinangor, Sumedang City. Among these were two locally sourced cultivars, UNPAD and Tanjung, and the Osaka cultivar, which was imported from Japan. The assessment parameters comprised both performance indicators and the capacity to adjust to the particular subtleties of the surrounding environment. Processing of seeds Each cultivar's seeds were tested for viability by immersing them in hot water for 30 minutes before being put in the germination trays. Before beginning the growing procedure in the trays, this pre-germination step acted as a test to ascertain the likelihood of successful germination. Germination trays with drainage holes were used to avoid waterlogging. To reduce the chance of infection, the trays were thoroughly cleaned and sanitized. Half the trays were filled with cocopeat and charcoal in a 2:1 ratio. This medium gave seedlings the nutrients they needed and was well-draining. A hard but not compacted surface was produced after leveling and lightly pressing the media surface in the tray. Thus, optimal seed to media contact is ensured. Maintaining a planting depth that is advised for each kind of seed. Using a little shovel, indentations or furrows were made in the media. After planting the seeds at the proper distance apart, a thin layer of media was applied over them. A watering spray bottle was used to water the seeds lightly. Avoiding overwatering was advised since it could cause damping off and other fungal illnesses. The nursery house with indirect sunlight was where the germination trays were kept. Ensure enough light for the seeds to germinate and the seedlings to flourish. Every media was consistently tested for moisture content, the cover was taken off after the seedlings appeared, and environmental conditions were changed to suit the needs of the plants. Data collection Germination index $$GI=\frac{Germinated seeds}{Days to first count}+...+\frac{Germinated seeds}{Days to final count}$$ Number of lateral roots $$Average No. of lateral roots=\frac{Total number of lateral roots for a cultivar}{Number of seedlings for that cultivar}$$ Root-shoot length ratio $$Root-shoot length ratio=\frac{Total root length}{Total shoot length}$$ Vigor index $$Vigor index=\left(\frac{Germination rate x Seedling length x Root length}{100}\right)$$ Water absorption capacity (g/seed) $$Water absorption capacity=\text{F}\text{i}\text{n}\text{a}\text{l} \text{w}\text{e}\text{i}\text{g}\text{h}\text{t}-\text{I}\text{n}\text{i}\text{t}\text{i}\text{a}\text{l} \text{d}\text{r}\text{y} \text{w}\text{e}\text{i}\text{g}\text{h}\text{t}$$ Water absorption index $$Water absorption index=\left(\frac{Final weight-Initial dry weight}{Initial dry weight}\right)x 100$$ Irrigation efficiency observation Water applied (liter) The total volume of water used in the study for each treatment. Water use efficiency (g/liter) Computed as the biomass produced divided by the water applied. $$Water use efficiency=\frac{Total biomass of seedling}{Water applied }$$ Application efficiency (%) The portion of water provided that goes toward retaining soil moisture. $$Application efficiency=\frac{Water hold by plant media \left(root zone\right)}{Water applied} x 100$$ Distribution uniformity (%) Demonstrates how evenly water has been applied throughout the research area. $$Distribution uniformity=\frac{Water applied to quarter of area}{Average depth of water applied} x 100$$ Irrigation efficiency (%) The overall effectiveness of plant water utilization. $$Irrigation efficiency=\frac{Beneficial water use}{Total water applied} x 100$$ Climatic parameters At the study site-nursery house, temperature, humidity, and light intensity measurements were taken systematically over every phase of the investigation. Data were collected three times daily in the morning, afternoon, and evening to grasp the daily fluctuations thoroughly. The experimental space was equipped with strategically placed digital thermometers, hygrometers, and light meters to ensure representative sampling at various times of the day. Statistical analysis Four replications involving 50 seeds were used in the completely randomized factorial design of the treatments. ANOVA with several factors was applied to the data. If the F test was significant at p ≤ 0.05, the mean separation was carried out using the Tukey test (LSD 0.05) (*). The ANOVA model for a completely randomized factorial design with two factors (A and B) and their interaction (AB) is represented conceptually as follows: Yijk​ = µ + αi​+βj​+(αβ)ij​+εijk​ Tukey test for mean separation Further analysis was conducted to determine specific differences between treatment means for a significant difference (p ≤ 0.05). The Tukey HSD test is a post-hoc test frequently used for mean separation in ANOVA; in this study, it is represented by LSD 0.05. The following is the formula to determine Tukey's HSD: $$HSD=q x \sqrt{MS}error/n$$ Where n is the amount of data per group, MS error is the mean square error from the ANOVA, and q is the crucial value from the studentized range distribution. Results and discussion Table 1 Data showing the significancy (P < 0.05) of each recorded observation. Observations Germination index Lateral roots Root-shoot length ratio Vigor index Water absorption capacity (g/seed) Water absorption index (%) Leaf chlorophyll index Seedling biomass (g) Cultivars C1-Tanjung 0.002 0.012 0.032 0.000 0.011 0.005 0.035 0.010 C2-Unpad C3-Osaka Table 2 Mean values (mean ± SE) of the recorded observations. Observations Germination index Lateral roots Root-shoot length ratio Vigor index Water absorption capacity (g/seed) Water absorption index (%) Leaf chlorophyll index Seedling biomass (g) Cultivars C1 - Tanjung 91.7 ± 0.84 3.14 ± 0.02 0.416 ± 0.01 495.04 ± 7.48 0.026 ± 0.005 1.370 ± 0.02 35.14 ± 0.74 1.068 ± 0.15 C2- Unpad 57 ± 1.17 2.47 ± 0.02 0.529 ± 0.01 250.20 ± 7.76 0.028 ± 0.003 1.422 ± 0.07 34.80 ± 0.91 0.857 ± 0.06 C3- Osaka 84 ± 0.93 4.7 ± 0.10 0.731 ± 0.01 538.40 ± 2.24 0.024 ± 0.002 1.260 ± 0.07 37.10 ± 0.72 1.430 ± 0.15 Table 3 Heat map of the observed parameter mean values. Germination index A statistically significant (p < 0.05) effect of several cultivars on the germination index was discovered (Table 1 ). The Tanjung cultivar demonstrated the greatest germination index, with an astounding 91.7. The Osaka cultivar came in second with a significant germination index of 84. On the other hand, the Unpad cultivar had a significantly lower germination index (57) (Table 2 , 3 & Fig. 2 ). Lateral roots The lateral roots showed significant (p < 0.05) differences amongst cultivars (Table 1 ). With an average of 4.7 lateral roots, the Osaka cultivar had the most, indicating strong root development. On the other hand, the Unpad cultivar had the lowest average of 2.47 lateral roots, while the Tanjung cultivar showed a slightly lower standard of 3.14 lateral roots (Table 2 , 3 & Fig. 3). Root-shoot length ratio Examining the root-shoot length ratio of chili demonstrated significant (p < 0.05) patterns across cultivars (Table 1 ). At an astounding 0.731, the Osaka cultivar demonstrated the most significant root-shoot length ratio. In keeping with this pattern, the Unpad cultivar showed a noteworthy root-shoot length ratio of 0.529. The Tanjung cultivar, on the other hand, displayed a significantly smaller root-shoot length ratio of 0.416 (Table 2 , 3 & Fig. 4 ). Vigor index The evaluation of the chili vigor index revealed significant (p < 0.05) characteristics between cultivars (Table 1 ). With an outstanding vigor index of 538.4, the Osaka. Closely behind, the Tanjung cultivar showed a high vigor index of 495.04. The Unpad cultivar, on the other hand, had a significantly lower vigor index of 250.2 (Table 2 , 3 & Fig. 5). Water absorption capacity (g/seed) Significant (p < 0.05) traits were found among cultivars when the water absorption ability of chili seeds was investigated (Table 1 ). With a water absorption capacity of 0.028, the Unpad cultivar has the greatest capacity to absorb water. The Tanjung cultivar came in second, with a noteworthy water absorption capacity of 0.026. The Osaka cultivar, on the other hand, had a significantly reduced water absorption capacity of 0.024 (Table 2 , 3 & Fig. 6 ). Water absorption index (%) Investigating the water absorption index in chili seeds highlighted significant (p < 0.05) traits among cultivars (Table 1 ). With a 1.42% water absorption index, the Unpad cultivar demonstrated the highest water absorption level. Closely behind, the Tanjung cultivar showed a noteworthy 1.37% water absorption index. The Osaka cultivar, on the other hand, showed a significantly lower water absorption index of 1.26% (Table 2 , 3 & Fig. 7). Leaf chlorophyll index The analysis of the leaf chlorophyll index in chili seeds identified significant (p < 0.05) traits for each cultivar (Table 1 ). With an astounding leaf chlorophyll score of 37.1, the Osaka cultivar had the highest level of chlorophyll concentration. Closely examining the Tanjung cultivar revealed a strong leaf chlorophyll index of 35.2. The Unpad cultivar, on the other hand, had a leaf chlorophyll index of 34.8, which was significantly lower (Table 2 , 3 & Fig. 8 ). Seedling biomass (g) The study of chili seedling biomass identified significant (p < 0.05) patterns between cultivars (Table 1 ). With a seedling biomass of an excellent 1.429 g, the Osaka cultivar showed the highest level of development, indicating its early solid growth. Closely behind, the Tanjung cultivar showed a noteworthy biomass of 1.068 g in seedlings. The Unpad cultivar, on the other hand, had a significantly lower seedling biomass of 0.857g (Table 2 , 3 & Fig. 9). Irrigation efficiency Table 4 Showing performance of the treatment by heat map in terms of their efficiency towards schedule irrigation practice. In evaluating chili seedling performance under different irrigation conditions, distinct disparities emerged among Osaka, Tanjung, and Unpad cultivars (Table 4 ). Osaka stood out by producing the highest biomass at 1.429g, demonstrating superior water use efficiency (WUE) with 0.015g/liter, and excelling in both application efficiency (73.6%) and distribution uniformity (91.2%). Tanjung followed closely behind Osaka in biomass production (1.068g), WUE (0.011g/liter), application efficiency (67.3%), and distribution uniformity (89.4%). On the other hand, Unpad exhibited lower performance across the board, with biomass production at 0.857g, WUE at 0.0091g/liter, application efficiency at 61.9%, and distribution uniformity at 87.1%. Overall, Osaka consistently displayed higher irrigation efficiency than Tanjung and Unpad across multiple parameters, emphasizing the significance of cultivar selection in optimizing chili cultivation under varied irrigation conditions. Discussion The germination index is merely one component of a cultivar's total yield [ 10 ]. These differences in the germination indices highlight how crucial it is to comprehend the particular needs of every chili cultivar to ensure successful germination and seedling establishment [ 11 ]. Variables like soil conditions, temperature, and moisture content influence germination performances (Fig. 1 ). It has been discovered that raising the temperature of the root medium impacts pepper plants' ability to absorb nutrients and develop their root systems [ 12 ]. Temperature and precipitation variations in the climate directly affect crop yields, which can affect how effectively chili plants establish their roots (Bhutia et al., 2018; Kusumiyati et al., 2023). A temperature that is too high might impede the growth of lateral roots (Fig. 1 ), which may lower plant productivity (Rachmawati et al., 2023; Ahmad et al., 2023). Except for the highest air temperature regime (32°C), the root-shoot ratio tends to decrease as light intensity increases in each air temperature regime [ 17 ]. A decrease in the number of roots, shoot length, root length, root-shoot ratio, and fresh weight of seedlings might result from an increase in temperature and exposure time [ 18 ]. Varying varieties showed differing responses; generally, cultivars with longer roots are considered to have a higher tolerance to stress [ 19 ]. The elevated vigor index indicates a solid and active growth pattern, which may show exceptional genetic qualities enhancing plant vitality [ 20 ]. Reflecting the inherent qualities of the cultivars, the observed variations in the vigor index also have consequences for the cultivars' resilience, prospective yield, and suitability for particular growing environments [ 21 ]. The cultivar's lower vigor index can indicate challenges or restrictions this particular variety may face due to the climate in the area [ 22 ]. These results provide novel data about the interactions between environmental and genetic variables and water absorption in chili seeds. Additionally, they offer farmers and seed producers sound advice, assisting them in choosing cultivars based on particular water absorption features [ 23 ]. The molecular study might explore the precise genetic processes behind the noted capacities for water absorption, offering a more profound comprehension of these essential characteristics in chili seeds [ 24 ]. Comparably, the decreased capacity to absorb water highlights the intricate interaction between genetic and environmental factors that influence seed traits (Miah et al., 2016). Genetic variances, seed coat thickness, and internal porosity may all contribute to the variability in water absorption across cultivars. Their internal porosity can influence the water absorption index in seeds [ 15 ]. A higher water absorption index cultivar may have improved permeability or structural characteristics that enable effective water uptake [ 11 ]. The differences in the permeability and thickness of the seed coat might affect the water absorption indices [ 26 ]. The observed differences in leaf chlorophyll index between different cultivars of chilies offer substantial data about how well-adapted each is to the local climate [ 27 ]. The cultivar's impressive chlorophyll concentration indicates a solid capacity to use sunlight for photosynthesis [ 4 ]. This elevated chlorophyll content could lead to better energy absorption and usage, providing an advantage over adversaries in the climate [ 28 ]. The discrepancy could be explained by genetic changes that affect chlorophyll synthesis or by unfavorable environmental conditions that affect the cultivar [ 5 ]. The finding highlights the genetic diversity and flexibility of chili cultivars, since several have proven to have better development traits in particular environmental circumstances [ 29 ]. The cultivar's early robust growth can be ascribed to innate genetic characteristics, such as effective nutrient uptake, improved establishment of roots, and resistance to early-stage growth-related stresses [ 30 ]. Genetic variances and environmental elements, including temperature, water availability, and soil composition, may cause these variations in seedling biomass (Berto et al., 2023). The findings highlight the significance of cultivar selection in maximizing the cultivation of chilies, as Osaka continuously outperforms Tanjung and Unpad in terms of irrigation efficiency across a range of measures. According to Smith et al. (2019), the results support the idea that genetic factors significantly impact plant growth and output. They also highlight the importance of selecting specific cultivars to improve the efficiency of chili farming under various irrigation circumstances. The observed variations in water use efficiency (WUE) among the cultivars can be attributed to genetic variances in variables, including stomatal conductance, transpiration efficiency, and root design [ 14 ]. Cultivars higher WUE indicates that it can use water resources efficiently, which is essential for sustainable agriculture in areas where water is scarce [ 33 ]. The superiority of the cultivars' uniform dispersion and efficient application highlight their versatility with various watering methods. This is consistent with studies highlighting the necessity for agricultural cultivars appropriate for particular environmental factors, such as water availability [ 34 ]. Conclusion This study offers thorough insights into how three chili cultivars, Tanjung, Unpad, and Osaka, perform throughout germination and the early stages of growth in various environmental settings. These results highlight the complex interactions that shape cultivar responses in chilies between genetic traits and environmental factors. The study highlights the value of skilled breeding programs and growing techniques, especially in light of erratic weather patterns and climate change on a worldwide scale. The findings provide essential information for enhancing the growth of chilies, resolving issues, and ensuring sustainable farming methods in light of changing environmental circumstances. Declarations Ethics Approval Not applicable to this paper Consent to participate Not applicable Consent for publication Not applicable Data availability statement All of the research data are presented in this manuscript Competing interest The authors declare no competing interest among each other Funding The research and publication funding is the responsibility of Padjadjaran University. Author Contributions Conceptualization; F.A., K.K., Methodology; F.A., K.K., R.S.S., M.R.K., Software; F.A., R.S.S., Validation; K.K., M.R.K., M.A.S., Formal analysis; F.A., K.K., Investigation; F.A., K.K., R.S.S., Writing draft; F.A., K.K., Review and editing; K.K., M.A.S., Visualization; R.S.S. Acknowledgment I would like to sincerely thank Professor Kusumiyati Kusumiyati for all of her help, advice, and knowledge during the course of the project. We also want to thank our fellow promoters for their insightful comments and assistance. Their dedication and work have been crucial to the accomplishment of this project. References M. Alam, I. Hamim, M. Ali, and M. Ashrafuzzaman, “Effect of Seed Treatment on Seedling Health of Chili,” J. Environ. Sci. Nat. Resour. , vol. 7, no. 1, 2015, doi: 10.3329/jesnr.v7i1.22167. M. T. Sundari, Darsono, J. Sutrisno, and E. Antriyandarti, “Analysis of chili farming in Indonesia,” IOP Conf. Ser. Earth Environ. 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C. da Silva, “Bertholletia excelsa seeds in the Cerrado-Amazon transition region: morphometry, colorimetry, viability and germination,” Nativa , vol. 11, no. 2, pp. 166–177, 2023, doi: 10.31413/nativa.v11i2.15580. A. L. R. Berto, B., T.E. Erickson, “Improving Seed Morphology and Germination Enhancement Technologies,” Plants , vol. 12, no. 2432, pp. 1–19, 2023. M. R. Smith, E. Veneklaas, J. Polania, I. M. Rao, S. E. Beebe, and A. Merchant, “Field drought conditions impact yield but not nutritional quality of the seed in common bean (Phaseolus vulgaris L.),” PLoS One , vol. 14, no. 6, pp. 1–18, 2019, doi: 10.1371/journal.pone.0217099. B. Iqbal et al. , “Advancing environmental sustainability through microbial reprogramming in growth improvement, stress alleviation, and phytoremediation,” Plant Stress , vol. 10, no. December, p. 100283, 2023, doi: 10.1016/j.stress.2023.100283. M. B. J. Reynolds, L. A. DeFalco, and T. C. Esque, “Short seed longevity, variable germination conditions, and infrequent establishment events provide a narrow window for Yucca brevifolia (Agavaceae) recruitment,” Am. J. Bot. , vol. 99, no. 10, pp. 1647–1654, 2012, doi: 10.3732/ajb.1200099. Additional Declarations No competing interests reported. Cite Share Download PDF Status: Published Journal Publication published 14 Jun, 2024 Read the published version in BMC Plant Biology → Version 1 posted Editorial decision: Revision requested 25 Mar, 2024 Reviews received at journal 19 Mar, 2024 Reviewers agreed at journal 18 Mar, 2024 Reviewers invited by journal 18 Mar, 2024 Editor invited by journal 26 Feb, 2024 Editor assigned by journal 26 Feb, 2024 Submission checks completed at journal 26 Feb, 2024 First submitted to journal 23 Feb, 2024 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. 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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-3981607","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":274974307,"identity":"c7219cd8-ceb6-4ee8-bf19-f016d80b62fa","order_by":0,"name":"Farhan Ahmad","email":"","orcid":"","institution":"Universitas Padjadjaran","correspondingAuthor":false,"prefix":"","firstName":"Farhan","middleName":"","lastName":"Ahmad","suffix":""},{"id":274974308,"identity":"1e2104ec-d17a-44bb-bc57-e390d3416805","order_by":1,"name":"Kusumiyati Kusumiyati","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA9klEQVRIiWNgGAWjYBACCTBpAMTMzAdATMYGEJnARoQWHma2BFK0AAEPA48BQgsDHi2SM9KfSd0oOCxvz87zTbpwh51sA/vhBwwPynBrkZbIMZPOMThs2MPMu0165plk4waeNAOGhHO4tchJ5LCBtDCCtfC2MSc2MOQwMCS24dOS/gykxb6HmecZUEt9YgP/G/xapCUSwA5LBGphA2o5nNggQcAWyZ43xtY5BunJPYfZjK15zxw3bpN4ZnAAn18kjqc/vJ3zx9q2vf/ww9u8O6pl+/mTHz78gSfEoKAZQoEiBRQjBwhqYGCoQ2gZBaNgFIyCUYAOAPCHSNbTWdiFAAAAAElFTkSuQmCC","orcid":"","institution":"Universitas Padjadjaran","correspondingAuthor":true,"prefix":"","firstName":"Kusumiyati","middleName":"","lastName":"Kusumiyati","suffix":""},{"id":274974309,"identity":"d84e9a65-c98a-46f2-913b-52bf8724e2cc","order_by":2,"name":"Mochamad Arief Soleh","email":"","orcid":"","institution":"Universitas Padjadjaran","correspondingAuthor":false,"prefix":"","firstName":"Mochamad","middleName":"Arief","lastName":"Soleh","suffix":""},{"id":274974310,"identity":"435ee529-a3d5-49ec-a44b-93adcc498cce","order_by":3,"name":"Muhammad Rabnawaz Khan","email":"","orcid":"","institution":"The University of Agriculture Peshawar","correspondingAuthor":false,"prefix":"","firstName":"Muhammad","middleName":"Rabnawaz","lastName":"Khan","suffix":""},{"id":274974311,"identity":"f8664088-2fa8-49a6-a73d-629bf9be0acb","order_by":4,"name":"Ristina Siti Sundari","email":"","orcid":"","institution":"Universitas Perjuangan","correspondingAuthor":false,"prefix":"","firstName":"Ristina","middleName":"Siti","lastName":"Sundari","suffix":""}],"badges":[],"createdAt":"2024-02-23 11:15:00","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-3981607/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-3981607/v1","draftVersion":[],"editorialEvents":[{"content":"https://doi.org/10.1186/s12870-024-05168-4","type":"published","date":"2024-06-14T14:52:49+00:00"}],"editorialNote":"","failedWorkflow":false,"files":[{"id":51733828,"identity":"befdf5dc-85af-454a-9cbc-f9b6a596f9ab","added_by":"auto","created_at":"2024-02-28 06:01:44","extension":"png","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":23973,"visible":true,"origin":"","legend":"\u003cp\u003eClimate of the experimental site\u003c/p\u003e","description":"","filename":"1.png","url":"https://assets-eu.researchsquare.com/files/rs-3981607/v1/caf7acc01de4ea062fa5de8c.png"},{"id":51733830,"identity":"7ce36bc1-324d-41ba-af2f-dc72955ea352","added_by":"auto","created_at":"2024-02-28 06:01:44","extension":"png","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":19464,"visible":true,"origin":"","legend":"\u003cp\u003eMean germination index and number of lateral roots in cultivars studied under the climatic parameters. (The letters a, b and c indicating the significant differences in cultivars)\u003c/p\u003e","description":"","filename":"2.png","url":"https://assets-eu.researchsquare.com/files/rs-3981607/v1/9698ece0d0babcde5a017579.png"},{"id":51734043,"identity":"c9dc27f6-cc40-41d1-bc10-16f1a208a588","added_by":"auto","created_at":"2024-02-28 06:09:44","extension":"png","order_by":3,"title":"Figure 3","display":"","copyAsset":false,"role":"figure","size":17982,"visible":true,"origin":"","legend":"\u003cp\u003eMean germination index and number of lateral roots in cultivars studied under the climatic parameters. (The letters a, b and c indicating the significant differences in cultivars)\u003c/p\u003e","description":"","filename":"3.png","url":"https://assets-eu.researchsquare.com/files/rs-3981607/v1/d6c44fefc27a879ecbeb48b5.png"},{"id":51733833,"identity":"d5c7e6a1-c5cd-4f11-8aa0-6b64072eaf7f","added_by":"auto","created_at":"2024-02-28 06:01:44","extension":"png","order_by":4,"title":"Figure 4","display":"","copyAsset":false,"role":"figure","size":18556,"visible":true,"origin":"","legend":"\u003cp\u003eRoot-shoot length ratio and vigor index in cultivars studied under the climatic parameters. (The letters a, b and c indicating the significant differences in cultivars)\u003c/p\u003e","description":"","filename":"4.png","url":"https://assets-eu.researchsquare.com/files/rs-3981607/v1/8de6b61e4bd2f50f332ae11f.png"},{"id":51733829,"identity":"971e7212-f25b-44d8-ad34-49673b19f8fc","added_by":"auto","created_at":"2024-02-28 06:01:44","extension":"png","order_by":5,"title":"Figure 5","display":"","copyAsset":false,"role":"figure","size":18290,"visible":true,"origin":"","legend":"\u003cp\u003eRoot-shoot length ratio and vigor index in cultivars studied under the climatic parameters. (The letters a, b and c indicating the significant differences in cultivars)\u003c/p\u003e","description":"","filename":"5.png","url":"https://assets-eu.researchsquare.com/files/rs-3981607/v1/02ded3b1aad240801a3c31ff.png"},{"id":51734042,"identity":"e3db71f7-1854-4c95-81e1-37544ec713ea","added_by":"auto","created_at":"2024-02-28 06:09:44","extension":"png","order_by":6,"title":"Figure 6","display":"","copyAsset":false,"role":"figure","size":20453,"visible":true,"origin":"","legend":"\u003cp\u003eWater absorption capacity and water absorption index in cultivars studied under the climatic parameters. (The letters a, b and c indicating the significant differences in cultivars)\u003c/p\u003e","description":"","filename":"6.png","url":"https://assets-eu.researchsquare.com/files/rs-3981607/v1/795d8da7b16ece430c0c8642.png"},{"id":51733832,"identity":"01911375-701f-4a4b-a12f-3b2df89744d9","added_by":"auto","created_at":"2024-02-28 06:01:44","extension":"png","order_by":7,"title":"Figure 7","display":"","copyAsset":false,"role":"figure","size":18639,"visible":true,"origin":"","legend":"\u003cp\u003eWater absorption capacity and water absorption index in cultivars studied under the climatic parameters. (The letters a, b and c indicating the significant differences in cultivars)\u003c/p\u003e","description":"","filename":"7.png","url":"https://assets-eu.researchsquare.com/files/rs-3981607/v1/c91be17825b4f62aaea1aaf0.png"},{"id":51733836,"identity":"6a23edfb-6fa8-4a5a-b3bb-da6ebac75e4a","added_by":"auto","created_at":"2024-02-28 06:01:44","extension":"png","order_by":8,"title":"Figure 8","display":"","copyAsset":false,"role":"figure","size":18237,"visible":true,"origin":"","legend":"\u003cp\u003eLeaf chlorophyll index and seedling biomass in cultivars studied under the climatic parameters. (The letters a, b and c indicating the significant differences in cultivars)\u003c/p\u003e","description":"","filename":"8.png","url":"https://assets-eu.researchsquare.com/files/rs-3981607/v1/64f3d0b9d065955e62b67610.png"},{"id":51733831,"identity":"57865d1d-cbfe-4baf-ba62-9950b8b61453","added_by":"auto","created_at":"2024-02-28 06:01:44","extension":"png","order_by":9,"title":"Figure 9","display":"","copyAsset":false,"role":"figure","size":19547,"visible":true,"origin":"","legend":"\u003cp\u003eLeaf chlorophyll index and seedling biomass in cultivars studied under the climatic parameters. (The letters a, b and c indicating the significant differences in cultivars)\u003c/p\u003e","description":"","filename":"9.png","url":"https://assets-eu.researchsquare.com/files/rs-3981607/v1/7da73ebc8ed33a1cee680b45.png"},{"id":51733835,"identity":"734df467-3d1e-4352-93eb-45c4ce591dd7","added_by":"auto","created_at":"2024-02-28 06:01:44","extension":"png","order_by":10,"title":"Figure 10","display":"","copyAsset":false,"role":"figure","size":250563,"visible":true,"origin":"","legend":"\u003cp\u003eUnnumbered image in the Materials and methods section.\u003c/p\u003e","description":"","filename":"unfig1.png","url":"https://assets-eu.researchsquare.com/files/rs-3981607/v1/ecbe648f7a31f6c19818777d.png"},{"id":58823020,"identity":"a8e09eff-a577-43fc-82b1-5fc2ed49789b","added_by":"auto","created_at":"2024-06-21 16:51:00","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1223305,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-3981607/v1/d6601f0a-37a8-41aa-a6d5-1474a4a17e25.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Assessing the Climate Adaptive Potential of Imported Chili in Comparison with Local Cultivars through Germination Performance Analysis","fulltext":[{"header":"Introduction","content":"\u003cp\u003eChili is one of the most extensively grown and consumed vegetable crops worldwide (\u003cem\u003eCapsicum annuum\u003c/em\u003e L.). Because of its high vitamin, antioxidant, and capsaicinoid content, it has medicinal benefits and great nutritional and economic worth. Chili is commonly grown as a spice, vegetable, or cash crop in the tropics. 7.18\u0026nbsp;million tons of chili are produced worldwide on 1.5\u0026nbsp;million hectares [\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e]. Indonesia is one of the world's top producers of chili peppers, making chili growing a significant agricultural sector in the nation. Indonesia produces about 5% of the world's total chilies yearly. With a total output of 2.7\u0026nbsp;million tons, Indonesia was the third-largest producer of chilies worldwide in 2019 [\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e]. One vegetable commodity that offers excellent and potential business opportunities in Indonesia is chili. The demand for chili rises annually in tandem with the country's growing population and the emergence of sectors that use chili as a raw material [\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eThe unpredictable local climates and climate change present significant challenges for modern agriculture [\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e]. It is essential to comprehend the responses of various chili cultivars to diverse environmental situations to design resilient and adaptable crops [\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e]. Chili peppers are widely cultivated in various soil types and climates, and they play a significant role in global agriculture and culinary traditions. Because of the globalization of the food trade, there has been a worldwide interaction of chili germplasm, exposing exotic cultivars to new habitats and posing problems regarding their ability to adapt compared to locally adapted genotypes [\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e]. Comprehending the germination patterns of diverse chili genotypes can offer valuable information about their capacity to adjust to various environmental factors, including light intensity, moisture content, humidity, wind speed, and temperature (Praneetha et al., 2017). One of the most critical aspects of the plant life cycle, germination, is what determines crop establishment success and total yield [\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e]. Chili peppers are exposed to a wide range of environmental conditions, evaluating their adaptability requires a grasp of the nuances of their germination performance. This scenario is further complicated by genetic variety within chili populations when imported varieties introduce new genetic material into local gene pools [\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eBy thoroughly comparing the germination performance of imported chili varieties to indigenous genotypes, this study seeks to uncover the adaptive potential of these cultivars. The results of this study not only advance our knowledge of the biology of chili peppers but also have more significant implications for crop management, sustainable agriculture, and food security, given the threat of climate change.\u003c/p\u003e"},{"header":"Materials and methods","content":"\u003cdiv id=\"Sec3\" class=\"Section2\"\u003e \u003ch2\u003eResearch locality and materials\u003c/h2\u003e \u003cp\u003eThe research was conducted at the Bale Tatanen nursery house, Faculty of Agriculture, Padjadjaran University, Jatinangor, Sumedang Regency, at an altitude of 685 meters above sea level and Field Laboratory from October 2023 \u0026ndash; December 2023. The materials that were used in the experiments comprising plastic container, laboratorium, knife, stick, scales, wrap, packaging, box, thermometer, hydrometer, thermohygrometer, stationary, label, scale glass, gallon 200 l, lux meter, anemometer, calliper, chlorophyl meter (Konica Minolta SPAD-502Plus (Tokyo, Japan). Three different cultivars were investigated in the climate adaptation experiment that was carried out at Jatinangor, Sumedang City. Among these were two locally sourced cultivars, UNPAD and Tanjung, and the Osaka cultivar, which was imported from Japan. The assessment parameters comprised both performance indicators and the capacity to adjust to the particular subtleties of the surrounding environment.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec4\" class=\"Section2\"\u003e \u003ch2\u003eProcessing of seeds\u003c/h2\u003e \u003cp\u003eEach cultivar's seeds were tested for viability by immersing them in hot water for 30 minutes before being put in the germination trays. Before beginning the growing procedure in the trays, this pre-germination step acted as a test to ascertain the likelihood of successful germination. Germination trays with drainage holes were used to avoid waterlogging. To reduce the chance of infection, the trays were thoroughly cleaned and sanitized. Half the trays were filled with cocopeat and charcoal in a 2:1 ratio. This medium gave seedlings the nutrients they needed and was well-draining. A hard but not compacted surface was produced after leveling and lightly pressing the media surface in the tray. Thus, optimal seed to media contact is ensured. Maintaining a planting depth that is advised for each kind of seed. Using a little shovel, indentations or furrows were made in the media. After planting the seeds at the proper distance apart, a thin layer of media was applied over them. A watering spray bottle was used to water the seeds lightly. Avoiding overwatering was advised since it could cause damping off and other fungal illnesses. The nursery house with indirect sunlight was where the germination trays were kept. Ensure enough light for the seeds to germinate and the seedlings to flourish. Every media was consistently tested for moisture content, the cover was taken off after the seedlings appeared, and environmental conditions were changed to suit the needs of the plants.\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec5\" class=\"Section2\"\u003e \u003ch2\u003eData collection\u003c/h2\u003e \u003cdiv id=\"Sec6\" class=\"Section3\"\u003e \u003ch2\u003eGermination index\u003c/h2\u003e \u003cp\u003e \u003cdiv id=\"Equa\" class=\"Equation\"\u003e \u003cdiv format=\"TEX\" class=\"mathdisplay\" id=\"FileID_Equa\" name=\"EquationSource\"\u003e\n$$GI=\\frac{Germinated seeds}{Days to first count}+...+\\frac{Germinated seeds}{Days to final count}$$\u003c/div\u003e \u003c/div\u003e \u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv id=\"Sec7\" class=\"Section2\"\u003e \u003ch2\u003eNumber of lateral roots\u003c/h2\u003e \u003cp\u003e \u003cdiv id=\"Equb\" class=\"Equation\"\u003e \u003cdiv format=\"TEX\" class=\"mathdisplay\" id=\"FileID_Equb\" name=\"EquationSource\"\u003e\n$$Average No. of lateral roots=\\frac{Total number of lateral roots for a cultivar}{Number of seedlings for that cultivar}$$\u003c/div\u003e \u003c/div\u003e \u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec8\" class=\"Section2\"\u003e \u003ch2\u003eRoot-shoot length ratio\u003c/h2\u003e \u003cp\u003e \u003cdiv id=\"Equc\" class=\"Equation\"\u003e \u003cdiv format=\"TEX\" class=\"mathdisplay\" id=\"FileID_Equc\" name=\"EquationSource\"\u003e\n$$Root-shoot length ratio=\\frac{Total root length}{Total shoot length}$$\u003c/div\u003e \u003c/div\u003e \u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec9\" class=\"Section2\"\u003e \u003ch2\u003eVigor index\u003c/h2\u003e \u003cp\u003e \u003cdiv id=\"Equd\" class=\"Equation\"\u003e \u003cdiv format=\"TEX\" class=\"mathdisplay\" id=\"FileID_Equd\" name=\"EquationSource\"\u003e\n$$Vigor index=\\left(\\frac{Germination rate x Seedling length x Root length}{100}\\right)$$\u003c/div\u003e \u003c/div\u003e \u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec10\" class=\"Section2\"\u003e \u003ch2\u003eWater absorption capacity (g/seed)\u003c/h2\u003e \u003cp\u003e \u003cdiv id=\"Eque\" class=\"Equation\"\u003e \u003cdiv format=\"TEX\" class=\"mathdisplay\" id=\"FileID_Eque\" name=\"EquationSource\"\u003e\n$$Water absorption capacity=\\text{F}\\text{i}\\text{n}\\text{a}\\text{l} \\text{w}\\text{e}\\text{i}\\text{g}\\text{h}\\text{t}-\\text{I}\\text{n}\\text{i}\\text{t}\\text{i}\\text{a}\\text{l} \\text{d}\\text{r}\\text{y} \\text{w}\\text{e}\\text{i}\\text{g}\\text{h}\\text{t}$$\u003c/div\u003e \u003c/div\u003e \u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec11\" class=\"Section2\"\u003e \u003ch2\u003eWater absorption index\u003c/h2\u003e \u003cp\u003e \u003cdiv id=\"Equf\" class=\"Equation\"\u003e \u003cdiv format=\"TEX\" class=\"mathdisplay\" id=\"FileID_Equf\" name=\"EquationSource\"\u003e\n$$Water absorption index=\\left(\\frac{Final weight-Initial dry weight}{Initial dry weight}\\right)x 100$$\u003c/div\u003e \u003c/div\u003e \u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec12\" class=\"Section2\"\u003e \u003ch2\u003eIrrigation efficiency observation\u003c/h2\u003e \u003cdiv id=\"Sec13\" class=\"Section3\"\u003e \u003ch2\u003eWater applied (liter)\u003c/h2\u003e \u003cp\u003eThe total volume of water used in the study for each treatment.\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv id=\"Sec14\" class=\"Section2\"\u003e \u003ch2\u003e\u003cb\u003eWater use efficiency (g/liter)\u003c/b\u003e\u003c/h2\u003e \u003cp\u003eComputed as the biomass produced divided by the water applied.\u003cdiv id=\"Equg\" class=\"Equation\"\u003e\u003cdiv format=\"TEX\" class=\"mathdisplay\" id=\"FileID_Equg\" name=\"EquationSource\"\u003e\n$$Water use efficiency=\\frac{Total biomass of seedling}{Water applied }$$\u003c/div\u003e\u003c/div\u003e\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec15\" class=\"Section2\"\u003e \u003ch2\u003eApplication efficiency (%)\u003c/h2\u003e \u003cp\u003eThe portion of water provided that goes toward retaining soil moisture.\u003cdiv id=\"Equh\" class=\"Equation\"\u003e\u003cdiv format=\"TEX\" class=\"mathdisplay\" id=\"FileID_Equh\" name=\"EquationSource\"\u003e\n$$Application efficiency=\\frac{Water hold by plant media \\left(root zone\\right)}{Water applied} x 100$$\u003c/div\u003e\u003c/div\u003e\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec16\" class=\"Section2\"\u003e \u003ch2\u003e\u003cb\u003eDistribution uniformity (%)\u003c/b\u003e\u003c/h2\u003e \u003cp\u003eDemonstrates how evenly water has been applied throughout the research area.\u003cdiv id=\"Equi\" class=\"Equation\"\u003e\u003cdiv format=\"TEX\" class=\"mathdisplay\" id=\"FileID_Equi\" name=\"EquationSource\"\u003e\n$$Distribution uniformity=\\frac{Water applied to quarter of area}{Average depth of water applied} x 100$$\u003c/div\u003e\u003c/div\u003e\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec17\" class=\"Section2\"\u003e \u003ch2\u003e\u003cb\u003eIrrigation efficiency (%)\u003c/b\u003e\u003c/h2\u003e \u003cp\u003eThe overall effectiveness of plant water utilization.\u003cdiv id=\"Equj\" class=\"Equation\"\u003e\u003cdiv format=\"TEX\" class=\"mathdisplay\" id=\"FileID_Equj\" name=\"EquationSource\"\u003e\n$$Irrigation efficiency=\\frac{Beneficial water use}{Total water applied} x 100$$\u003c/div\u003e\u003c/div\u003e\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec18\" class=\"Section2\"\u003e \u003ch2\u003eClimatic parameters\u003c/h2\u003e \u003cp\u003eAt the study site-nursery house, temperature, humidity, and light intensity measurements were taken systematically over every phase of the investigation. Data were collected three times daily in the morning, afternoon, and evening to grasp the daily fluctuations thoroughly. The experimental space was equipped with strategically placed digital thermometers, hygrometers, and light meters to ensure representative sampling at various times of the day.\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec19\" class=\"Section2\"\u003e \u003ch2\u003eStatistical analysis\u003c/h2\u003e \u003cp\u003eFour replications involving 50 seeds were used in the completely randomized factorial design of the treatments. ANOVA with several factors was applied to the data. If the F test was significant at p\u0026thinsp;\u0026le;\u0026thinsp;0.05, the mean separation was carried out using the Tukey test (LSD 0.05) (*).\u003c/p\u003e \u003cp\u003eThe ANOVA model for a completely randomized factorial design with two factors (A and B) and their interaction (AB) is represented conceptually as follows:\u003c/p\u003e \u003cp\u003eYijk​ = \u0026micro;\u0026thinsp;+\u0026thinsp;αi​+βj​+(αβ)ij​+εijk​\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec20\" class=\"Section2\"\u003e \u003ch2\u003eTukey test for mean separation\u003c/h2\u003e \u003cp\u003eFurther analysis was conducted to determine specific differences between treatment means for a significant difference (p\u0026thinsp;\u0026le;\u0026thinsp;0.05). The Tukey HSD test is a post-hoc test frequently used for mean separation in ANOVA; in this study, it is represented by LSD 0.05.\u003c/p\u003e \u003cp\u003eThe following is the formula to determine Tukey's HSD:\u003cdiv id=\"Equk\" class=\"Equation\"\u003e\u003cdiv format=\"TEX\" class=\"mathdisplay\" id=\"FileID_Equk\" name=\"EquationSource\"\u003e\n$$HSD=q x \\sqrt{MS}error/n$$\u003c/div\u003e\u003c/div\u003e\u003c/p\u003e \u003cp\u003eWhere n is the amount of data per group, MS error is the mean square error from the ANOVA, and q is the crucial value from the studentized range distribution.\u003c/p\u003e \u003c/div\u003e"},{"header":"Results and discussion","content":"\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\u003eData showing the significancy (P\u0026thinsp;\u0026lt;\u0026thinsp;0.05) of each recorded observation.\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"10\"\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=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c7\" colnum=\"7\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c8\" colnum=\"8\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c9\" colnum=\"9\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c10\" colnum=\"10\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colspan=\"2\" nameend=\"c2\" namest=\"c1\"\u003e \u003cp\u003eObservations\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eGermination index\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003eLateral roots\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003eRoot-shoot length ratio\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c6\"\u003e \u003cp\u003eVigor index\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c7\"\u003e \u003cp\u003eWater absorption capacity (g/seed)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c8\"\u003e \u003cp\u003eWater absorption index (%)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c9\"\u003e \u003cp\u003eLeaf chlorophyll index\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c10\"\u003e \u003cp\u003eSeedling biomass (g)\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"2\" rowspan=\"3\"\u003e \u003cp\u003e\u003cb\u003eCultivars\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u003cem\u003eC1-Tanjung\u003c/em\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\" morerows=\"2\" rowspan=\"3\"\u003e \u003cp\u003e0.002\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\" morerows=\"2\" rowspan=\"3\"\u003e \u003cp\u003e0.012\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\" morerows=\"2\" rowspan=\"3\"\u003e \u003cp\u003e0.032\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\" morerows=\"2\" rowspan=\"3\"\u003e \u003cp\u003e0.000\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\" morerows=\"2\" rowspan=\"3\"\u003e \u003cp\u003e0.011\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c8\" morerows=\"2\" rowspan=\"3\"\u003e \u003cp\u003e0.005\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c9\" morerows=\"2\" rowspan=\"3\"\u003e \u003cp\u003e0.035\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c10\" morerows=\"2\" rowspan=\"3\"\u003e \u003cp\u003e0.010\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u003cem\u003eC2-Unpad\u003c/em\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u003cem\u003eC3-Osaka\u003c/em\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 \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab2\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 2\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eMean values (mean\u0026thinsp;\u0026plusmn;\u0026thinsp;SE) of the recorded observations.\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"10\"\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=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c7\" colnum=\"7\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c8\" colnum=\"8\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\"\u0026plusmn;\" class=\"colspec\" colname=\"c9\" colnum=\"9\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c10\" colnum=\"10\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colspan=\"2\" nameend=\"c2\" namest=\"c1\"\u003e \u003cp\u003eObservations\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eGermination index\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003eLateral roots\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003eRoot-shoot length ratio\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c6\"\u003e \u003cp\u003eVigor index\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c7\"\u003e \u003cp\u003eWater absorption capacity (g/seed)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c8\"\u003e \u003cp\u003eWater absorption index (%)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c9\"\u003e \u003cp\u003eLeaf chlorophyll index\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c10\"\u003e \u003cp\u003eSeedling biomass (g)\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"2\" rowspan=\"3\"\u003e \u003cp\u003eCultivars\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u003cem\u003eC1 - Tanjung\u003c/em\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e91.7\u0026thinsp;\u0026plusmn;\u0026thinsp;0.84\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e3.14\u0026thinsp;\u0026plusmn;\u0026thinsp;0.02\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.416\u0026thinsp;\u0026plusmn;\u0026thinsp;0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e495.04\u0026thinsp;\u0026plusmn;\u0026thinsp;7.48\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.026\u0026thinsp;\u0026plusmn;\u0026thinsp;0.005\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e1.370\u0026thinsp;\u0026plusmn;\u0026thinsp;0.02\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c9\"\u003e \u003cp\u003e35.14\u0026thinsp;\u0026plusmn;\u0026thinsp;0.74\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e1.068\u0026thinsp;\u0026plusmn;\u0026thinsp;0.15\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u003cem\u003eC2- Unpad\u003c/em\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e57\u0026thinsp;\u0026plusmn;\u0026thinsp;1.17\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e2.47\u0026thinsp;\u0026plusmn;\u0026thinsp;0.02\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.529\u0026thinsp;\u0026plusmn;\u0026thinsp;0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e250.20\u0026thinsp;\u0026plusmn;\u0026thinsp;7.76\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.028\u0026thinsp;\u0026plusmn;\u0026thinsp;0.003\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e1.422\u0026thinsp;\u0026plusmn;\u0026thinsp;0.07\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c9\"\u003e \u003cp\u003e34.80\u0026thinsp;\u0026plusmn;\u0026thinsp;0.91\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e0.857\u0026thinsp;\u0026plusmn;\u0026thinsp;0.06\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u003cem\u003eC3- Osaka\u003c/em\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e84\u0026thinsp;\u0026plusmn;\u0026thinsp;0.93\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e4.7\u0026thinsp;\u0026plusmn;\u0026thinsp;0.10\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.731\u0026thinsp;\u0026plusmn;\u0026thinsp;0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e538.40\u0026thinsp;\u0026plusmn;\u0026thinsp;2.24\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.024\u0026thinsp;\u0026plusmn;\u0026thinsp;0.002\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e1.260\u0026thinsp;\u0026plusmn;\u0026thinsp;0.07\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c9\"\u003e \u003cp\u003e37.10\u0026thinsp;\u0026plusmn;\u0026thinsp;0.72\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e1.430\u0026thinsp;\u0026plusmn;\u0026thinsp;0.15\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e\u003cp\u003eTable 3 Heat map of the observed parameter mean values.\u003c/p\u003e\u003cp\u003e\u003cimg src=\"data:image/png;base64,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\" width=\"618\" height=\"181\"\u003e\u003c/p\u003e \u003cdiv id=\"Sec22\" class=\"Section2\"\u003e \u003ch2\u003eGermination index\u003c/h2\u003e \u003cp\u003eA statistically significant (p\u0026thinsp;\u0026lt;\u0026thinsp;0.05) effect of several cultivars on the germination index was discovered (Table\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e). The Tanjung cultivar demonstrated the greatest germination index, with an astounding 91.7. The Osaka cultivar came in second with a significant germination index of 84. On the other hand, the Unpad cultivar had a significantly lower germination index (57) (Table\u0026nbsp;\u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e2\u003c/span\u003e, \u003cspan refid=\"Tab3\" class=\"InternalRef\"\u003e3\u003c/span\u003e \u0026amp; Fig.\u0026nbsp;\u003cspan refid=\"Fig2\" class=\"InternalRef\"\u003e2\u003c/span\u003e).\u003c/p\u003e \u003cdiv id=\"Sec23\" class=\"Section3\"\u003e \u003ch2\u003eLateral roots\u003c/h2\u003e \u003cp\u003eThe lateral roots showed significant (p\u0026thinsp;\u0026lt;\u0026thinsp;0.05) differences amongst cultivars (Table\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e). With an average of 4.7 lateral roots, the Osaka cultivar had the most, indicating strong root development. On the other hand, the Unpad cultivar had the lowest average of 2.47 lateral roots, while the Tanjung cultivar showed a slightly lower standard of 3.14 lateral roots (Table\u0026nbsp;\u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e2\u003c/span\u003e, \u003cspan refid=\"Tab3\" class=\"InternalRef\"\u003e3\u003c/span\u003e \u0026amp; Fig.\u0026nbsp;3).\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv id=\"Sec24\" class=\"Section2\"\u003e \u003ch2\u003eRoot-shoot length ratio\u003c/h2\u003e \u003cp\u003eExamining the root-shoot length ratio of chili demonstrated significant (p\u0026thinsp;\u0026lt;\u0026thinsp;0.05) patterns across cultivars (Table\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e). At an astounding 0.731, the Osaka cultivar demonstrated the most significant root-shoot length ratio. In keeping with this pattern, the Unpad cultivar showed a noteworthy root-shoot length ratio of 0.529. The Tanjung cultivar, on the other hand, displayed a significantly smaller root-shoot length ratio of 0.416 (Table\u0026nbsp;\u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e2\u003c/span\u003e, \u003cspan refid=\"Tab3\" class=\"InternalRef\"\u003e3\u003c/span\u003e \u0026amp; Fig.\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e4\u003c/span\u003e).\u003c/p\u003e \u003cdiv id=\"Sec25\" class=\"Section3\"\u003e \u003ch2\u003eVigor index\u003c/h2\u003e \u003cp\u003eThe evaluation of the chili vigor index revealed significant (p\u0026thinsp;\u0026lt;\u0026thinsp;0.05) characteristics between cultivars (Table\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e). With an outstanding vigor index of 538.4, the Osaka. Closely behind, the Tanjung cultivar showed a high vigor index of 495.04. The Unpad cultivar, on the other hand, had a significantly lower vigor index of 250.2 (Table\u0026nbsp;\u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e2\u003c/span\u003e, \u003cspan refid=\"Tab3\" class=\"InternalRef\"\u003e3\u003c/span\u003e \u0026amp; Fig.\u0026nbsp;5).\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec26\" class=\"Section3\"\u003e \u003ch2\u003eWater absorption capacity (g/seed)\u003c/h2\u003e \u003cp\u003eSignificant (p\u0026thinsp;\u0026lt;\u0026thinsp;0.05) traits were found among cultivars when the water absorption ability of chili seeds was investigated (Table\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e). With a water absorption capacity of 0.028, the Unpad cultivar has the greatest capacity to absorb water. The Tanjung cultivar came in second, with a noteworthy water absorption capacity of 0.026. The Osaka cultivar, on the other hand, had a significantly reduced water absorption capacity of 0.024 (Table\u0026nbsp;\u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e2\u003c/span\u003e, \u003cspan refid=\"Tab3\" class=\"InternalRef\"\u003e3\u003c/span\u003e \u0026amp; Fig.\u0026nbsp;\u003cspan refid=\"Fig4\" class=\"InternalRef\"\u003e6\u003c/span\u003e).\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec27\" class=\"Section3\"\u003e \u003ch2\u003eWater absorption index (%)\u003c/h2\u003e \u003cp\u003eInvestigating the water absorption index in chili seeds highlighted significant (p\u0026thinsp;\u0026lt;\u0026thinsp;0.05) traits among cultivars (Table\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e). With a 1.42% water absorption index, the Unpad cultivar demonstrated the highest water absorption level. Closely behind, the Tanjung cultivar showed a noteworthy 1.37% water absorption index. The Osaka cultivar, on the other hand, showed a significantly lower water absorption index of 1.26% (Table\u0026nbsp;\u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e2\u003c/span\u003e, \u003cspan refid=\"Tab3\" class=\"InternalRef\"\u003e3\u003c/span\u003e \u0026amp; Fig.\u0026nbsp;7).\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv id=\"Sec28\" class=\"Section2\"\u003e \u003ch2\u003eLeaf chlorophyll index\u003c/h2\u003e \u003cp\u003eThe analysis of the leaf chlorophyll index in chili seeds identified significant (p\u0026thinsp;\u0026lt;\u0026thinsp;0.05) traits for each cultivar (Table\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e). With an astounding leaf chlorophyll score of 37.1, the Osaka cultivar had the highest level of chlorophyll concentration. Closely examining the Tanjung cultivar revealed a strong leaf chlorophyll index of 35.2. The Unpad cultivar, on the other hand, had a leaf chlorophyll index of 34.8, which was significantly lower (Table\u0026nbsp;\u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e2\u003c/span\u003e, \u003cspan refid=\"Tab3\" class=\"InternalRef\"\u003e3\u003c/span\u003e \u0026amp; Fig.\u0026nbsp;\u003cspan refid=\"Fig5\" class=\"InternalRef\"\u003e8\u003c/span\u003e).\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec29\" class=\"Section2\"\u003e \u003ch2\u003eSeedling biomass (g)\u003c/h2\u003e \u003cp\u003eThe study of chili seedling biomass identified significant (p\u0026thinsp;\u0026lt;\u0026thinsp;0.05) patterns between cultivars (Table\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e). With a seedling biomass of an excellent 1.429 g, the Osaka cultivar showed the highest level of development, indicating its early solid growth. Closely behind, the Tanjung cultivar showed a noteworthy biomass of 1.068 g in seedlings. The Unpad cultivar, on the other hand, had a significantly lower seedling biomass of 0.857g (Table\u0026nbsp;\u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e2\u003c/span\u003e, \u003cspan refid=\"Tab3\" class=\"InternalRef\"\u003e3\u003c/span\u003e \u0026amp; Fig.\u0026nbsp;9).\u003c/p\u003e \u003c/div\u003e\n\u003ch3\u003eIrrigation efficiency\u003c/h3\u003e\n\u003cp\u003eTable 4 Showing performance of the treatment by heat map in terms of their efficiency towards schedule irrigation practice.\u003c/p\u003e\u003cp\u003e\u003cimg 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\"\u003e\u003cbr\u003e\u003c/p\u003e \u003cp\u003eIn evaluating chili seedling performance under different irrigation conditions, distinct disparities emerged among Osaka, Tanjung, and Unpad cultivars (Table\u0026nbsp;\u003cspan refid=\"Tab4\" class=\"InternalRef\"\u003e4\u003c/span\u003e). Osaka stood out by producing the highest biomass at 1.429g, demonstrating superior water use efficiency (WUE) with 0.015g/liter, and excelling in both application efficiency (73.6%) and distribution uniformity (91.2%). Tanjung followed closely behind Osaka in biomass production (1.068g), WUE (0.011g/liter), application efficiency (67.3%), and distribution uniformity (89.4%). On the other hand, Unpad exhibited lower performance across the board, with biomass production at 0.857g, WUE at 0.0091g/liter, application efficiency at 61.9%, and distribution uniformity at 87.1%. Overall, Osaka consistently displayed higher irrigation efficiency than Tanjung and Unpad across multiple parameters, emphasizing the significance of cultivar selection in optimizing chili cultivation under varied irrigation conditions.\u003c/p\u003e"},{"header":"Discussion","content":"\u003cp\u003eThe germination index is merely one component of a cultivar's total yield [\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e]. These differences in the germination indices highlight how crucial it is to comprehend the particular needs of every chili cultivar to ensure successful germination and seedling establishment [\u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e]. Variables like soil conditions, temperature, and moisture content influence germination performances (Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003e). It has been discovered that raising the temperature of the root medium impacts pepper plants' ability to absorb nutrients and develop their root systems [\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e]. Temperature and precipitation variations in the climate directly affect crop yields, which can affect how effectively chili plants establish their roots (Bhutia et al., 2018; Kusumiyati et al., 2023). A temperature that is too high might impede the growth of lateral roots (Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003e), which may lower plant productivity (Rachmawati et al., 2023; Ahmad et al., 2023). Except for the highest air temperature regime (32\u0026deg;C), the root-shoot ratio tends to decrease as light intensity increases in each air temperature regime [\u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e17\u003c/span\u003e]. A decrease in the number of roots, shoot length, root length, root-shoot ratio, and fresh weight of seedlings might result from an increase in temperature and exposure time [\u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e]. Varying varieties showed differing responses; generally, cultivars with longer roots are considered to have a higher tolerance to stress [\u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e19\u003c/span\u003e]. The elevated vigor index indicates a solid and active growth pattern, which may show exceptional genetic qualities enhancing plant vitality [\u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e20\u003c/span\u003e]. Reflecting the inherent qualities of the cultivars, the observed variations in the vigor index also have consequences for the cultivars' resilience, prospective yield, and suitability for particular growing environments [\u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e]. The cultivar's lower vigor index can indicate challenges or restrictions this particular variety may face due to the climate in the area [\u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e22\u003c/span\u003e]. These results provide novel data about the interactions between environmental and genetic variables and water absorption in chili seeds. Additionally, they offer farmers and seed producers sound advice, assisting them in choosing cultivars based on particular water absorption features [\u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e23\u003c/span\u003e]. The molecular study might explore the precise genetic processes behind the noted capacities for water absorption, offering a more profound comprehension of these essential characteristics in chili seeds [\u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e24\u003c/span\u003e]. Comparably, the decreased capacity to absorb water highlights the intricate interaction between genetic and environmental factors that influence seed traits (Miah et al., 2016). Genetic variances, seed coat thickness, and internal porosity may all contribute to the variability in water absorption across cultivars. Their internal porosity can influence the water absorption index in seeds [\u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e]. A higher water absorption index cultivar may have improved permeability or structural characteristics that enable effective water uptake [\u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e]. The differences in the permeability and thickness of the seed coat might affect the water absorption indices [\u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e26\u003c/span\u003e]. The observed differences in leaf chlorophyll index between different cultivars of chilies offer substantial data about how well-adapted each is to the local climate [\u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e27\u003c/span\u003e]. The cultivar's impressive chlorophyll concentration indicates a solid capacity to use sunlight for photosynthesis [\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e]. This elevated chlorophyll content could lead to better energy absorption and usage, providing an advantage over adversaries in the climate [\u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e28\u003c/span\u003e]. The discrepancy could be explained by genetic changes that affect chlorophyll synthesis or by unfavorable environmental conditions that affect the cultivar [\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e]. The finding highlights the genetic diversity and flexibility of chili cultivars, since several have proven to have better development traits in particular environmental circumstances [\u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e29\u003c/span\u003e]. The cultivar's early robust growth can be ascribed to innate genetic characteristics, such as effective nutrient uptake, improved establishment of roots, and resistance to early-stage growth-related stresses [\u003cspan citationid=\"CR30\" class=\"CitationRef\"\u003e30\u003c/span\u003e]. Genetic variances and environmental elements, including temperature, water availability, and soil composition, may cause these variations in seedling biomass (Berto et al., 2023).\u003c/p\u003e \u003cp\u003eThe findings highlight the significance of cultivar selection in maximizing the cultivation of chilies, as Osaka continuously outperforms Tanjung and Unpad in terms of irrigation efficiency across a range of measures. According to Smith et al. (2019), the results support the idea that genetic factors significantly impact plant growth and output. They also highlight the importance of selecting specific cultivars to improve the efficiency of chili farming under various irrigation circumstances. The observed variations in water use efficiency (WUE) among the cultivars can be attributed to genetic variances in variables, including stomatal conductance, transpiration efficiency, and root design [\u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e]. Cultivars higher WUE indicates that it can use water resources efficiently, which is essential for sustainable agriculture in areas where water is scarce [\u003cspan citationid=\"CR33\" class=\"CitationRef\"\u003e33\u003c/span\u003e]. The superiority of the cultivars' uniform dispersion and efficient application highlight their versatility with various watering methods. This is consistent with studies highlighting the necessity for agricultural cultivars appropriate for particular environmental factors, such as water availability [\u003cspan citationid=\"CR34\" class=\"CitationRef\"\u003e34\u003c/span\u003e].\u003c/p\u003e"},{"header":"Conclusion","content":"\u003cp\u003eThis study offers thorough insights into how three chili cultivars, Tanjung, Unpad, and Osaka, perform throughout germination and the early stages of growth in various environmental settings. These results highlight the complex interactions that shape cultivar responses in chilies between genetic traits and environmental factors. The study highlights the value of skilled breeding programs and growing techniques, especially in light of erratic weather patterns and climate change on a worldwide scale. The findings provide essential information for enhancing the growth of chilies, resolving issues, and ensuring sustainable farming methods in light of changing environmental circumstances.\u003c/p\u003e "},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eEthics Approval\u003c/strong\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eNot applicable to this paper\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConsent to participate\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eNot applicable\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConsent for publication\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eNot applicable\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eData availability statement\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eAll of the research data are presented in this manuscript\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eCompeting interest\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe authors declare no competing interest among each other\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFunding\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe research and publication funding is the responsibility of Padjadjaran University.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAuthor Contributions\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eConceptualization; F.A., K.K., Methodology; F.A., K.K., R.S.S., M.R.K., Software; F.A., R.S.S., Validation; K.K., M.R.K., M.A.S., Formal analysis; F.A., K.K., Investigation; F.A., K.K., R.S.S., Writing draft; F.A., K.K., Review and editing; K.K., M.A.S., Visualization; R.S.S.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAcknowledgment\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eI would like to sincerely thank Professor Kusumiyati Kusumiyati for all of her help, advice, and knowledge during the course of the project. We also want to thank our fellow promoters for their insightful comments and assistance. Their dedication and work have been crucial to the accomplishment of this project.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n\u003cli\u003eM. Alam, I. Hamim, M. Ali, and M. Ashrafuzzaman, \u0026ldquo;Effect of Seed Treatment on Seedling Health of Chili,\u0026rdquo; \u003cem\u003eJ. Environ. Sci. Nat. Resour.\u003c/em\u003e, vol. 7, no. 1, 2015, doi: 10.3329/jesnr.v7i1.22167.\u003c/li\u003e\n\u003cli\u003eM. T. Sundari, Darsono, J. Sutrisno, and E. Antriyandarti, \u0026ldquo;Analysis of chili farming in Indonesia,\u0026rdquo; \u003cem\u003eIOP Conf. Ser. Earth Environ. Sci.\u003c/em\u003e, vol. 905, no. 1, pp. 4\u0026ndash;11, 2021, doi: 10.1088/1755-1315/905/1/012046.\u003c/li\u003e\n\u003cli\u003eM. T. Sundari, Darsono, J. Sutisno, and E. Antriyandarti, \u0026ldquo;Analysis of chili supply in Indonesia,\u0026rdquo; \u003cem\u003eIOP Conf. Ser. Earth Environ. 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Bot.\u003c/em\u003e, vol. 99, no. 10, pp. 1647\u0026ndash;1654, 2012, doi: 10.3732/ajb.1200099.\u003c/li\u003e\n\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":true,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"bmc-plant-biology","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"pbio","sideBox":"Learn more about [BMC Plant Biology](http://bmcplantbiol.biomedcentral.com/)","snPcode":"","submissionUrl":"https://www.editorialmanager.com/pbio/default.aspx","title":"BMC Plant Biology","twitterHandle":"BMC_series","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"em","reportingPortfolio":"BMC Series","inReviewEnabled":true,"inReviewRevisionsEnabled":true},"keywords":"Seed germination, resilience, climate adaptation, agricultural diversity, environmental factors","lastPublishedDoi":"10.21203/rs.3.rs-3981607/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-3981607/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003ch2\u003eBackground\u003c/h2\u003e \u003cp\u003eThe study offers insightful information about the adaptability of local and imported Chili cultivars. This experiment examines how three different chili cultivars Tanjung, Unpad, and Osaka perform in the germination and early growth phases while considering a wide range of environmental conditions. Research conducted in Jatinangor, Sumedang Regency, Indonesia, highlights the differences between cultivars and the varied possibilities for adaptability each variation possesses.\u003c/p\u003e\u003ch2\u003eResults\u003c/h2\u003e \u003cp\u003eAmong them, Tanjung stands out as the most promising cultivar; its robust performance is demonstrated by its high germination index 91.7. Notable features of Osaka include the highest biomass output (1.429 g), the best water usage efficiency (WUE) at 0.015 g/liter, and the best distribution uniformity (91.2%) and application efficiency (73.6%) under different irrigation conditions. Tanjung's competitiveness is further evidenced by the fact that it trails Osaka closely on several metrics. Lower performance across criteria for Unpad suggests possible issues with flexibility.\u003c/p\u003e\u003ch2\u003eConclusion\u003c/h2\u003e \u003cp\u003eThe value of this information becomes apparent when it comes to well-informed breeding programs and cultivation techniques, especially considering uncertain climate patterns and global climate change. This research contributes significantly to the body of knowledge, enabling well-informed choices for environmentally dynamic, sustainable chili farming.\u003c/p\u003e","manuscriptTitle":"Assessing the Climate Adaptive Potential of Imported Chili in Comparison with Local Cultivars through Germination Performance Analysis","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2024-02-28 06:01:39","doi":"10.21203/rs.3.rs-3981607/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"decision","content":"Revision requested","date":"2024-03-25T16:23:21+00:00","index":"","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2024-03-20T00:59:09+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"4aa151f0-3ae9-4b80-be61-c00571846efa","date":"2024-03-18T09:23:01+00:00","index":"hide","fulltext":""},{"type":"reviewersInvited","content":"","date":"2024-03-18T09:06:26+00:00","index":"","fulltext":""},{"type":"editorInvited","content":"","date":"2024-02-26T14:18:48+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2024-02-26T14:13:08+00:00","index":"","fulltext":""},{"type":"checksComplete","content":"","date":"2024-02-26T14:12:44+00:00","index":"","fulltext":""},{"type":"submitted","content":"BMC Plant Biology","date":"2024-02-23T11:01:29+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"bmc-plant-biology","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"pbio","sideBox":"Learn more about [BMC Plant Biology](http://bmcplantbiol.biomedcentral.com/)","snPcode":"","submissionUrl":"https://www.editorialmanager.com/pbio/default.aspx","title":"BMC Plant Biology","twitterHandle":"BMC_series","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"em","reportingPortfolio":"BMC Series","inReviewEnabled":true,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"85744029-ea06-4c93-9c6b-2f063387ed4d","owner":[],"postedDate":"February 28th, 2024","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"published-in-journal","subjectAreas":[],"tags":[],"updatedAt":"2024-06-21T14:52:49+00:00","versionOfRecord":{"articleIdentity":"rs-3981607","link":"https://doi.org/10.1186/s12870-024-05168-4","journal":{"identity":"bmc-plant-biology","isVorOnly":false,"title":"BMC Plant Biology"},"publishedOn":"2024-06-14 14:52:49","publishedOnDateReadable":"June 14th, 2024"},"versionCreatedAt":"2024-02-28 06:01:39","video":"","vorDoi":"10.1186/s12870-024-05168-4","vorDoiUrl":"https://doi.org/10.1186/s12870-024-05168-4","workflowStages":[]},"version":"v1","identity":"rs-3981607","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-3981607","identity":"rs-3981607","version":["v1"]},"buildId":"qtupq5eGEP_6zYnWcrvyt","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}