Enhancing productivity and essential oil composition of Artemisia pallens Wall. ex DC through foliar application of silicon

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M. Prakhyath, N. D. Yogendra, V. S. Pragadheesh, N. B. Prakash This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7487555/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 9 You are reading this latest preprint version Abstract Silicon has gained recognition for its crucial role in plant nutrition across various crops. However, its impact on medicinal and aromatic plants remains underexplored. Therefore, a field study was conducted at CSIR-Central Institute of Medicinal and Aromatic Plants Research Centre, Bengaluru, during 2022-23 and 2023-24 to determine the optimal silicon (Si) concentration for enhancing the productivity and essential oil quality of Artemisia pallens through foliar application. Results revealed that growth attributes, including plant height (44.67cm), number of branches (26.15), and stem girth (0.87cm), were significantly enhanced at 4% Si application, surpassing the control and recommended dose of fertilizer (RDF) alone. Yield attributes followed a similar trend, with the highest flower diameter (4.90mm) and fresh (17.75t ha⁻¹) and dry (7.77t ha⁻¹) herbage yields at 4% Si. While essential oil recovery remained consistent, essential oil yield was significantly higher at 4% Si (26.50 kg ha⁻¹), displaying notable increments over lower Si levels. Correlation analysis of essential oil compounds revealed distinct biosynthetic linkages, with Cis-davanone dominating the composition. PCA further highlighted that moderate Si levels (4%) significantly improved metabolic and physiological responses, optimizing A. pallens performance. These findings establish 4% Si as an effective and sustainable approach to enhance growth, yield, and essential oil biosynthesis in A. pallens . Aromatic herb Cis-davanone Economic viability Herbage yield Plant nutrient Figures Figure 1 Figure 2 Figure 3 Figure 4 Figure 5 Figure 6 1. Introduction Silicon (Si) ranks as the second most abundant element in soil, following oxygen, and constitutes roughly 28% of the Earth's crust [ 1 – 2 ]. In soil, it primarily exists in the form of crystalline aluminosilicates, which are insoluble and not readily available for plant uptake [ 3 – 4 ]. In contrast, the form of silicon that plants can access, known as silicic acid (Si (OH) 4 ), is typically present in low concentrations in most soils, usually between 0.1 and 0.6 mM in soil solutions [ 5 ]. Silicon is viewed as a quasi-essential element that serves as a beneficial nutrient for the growth and development of many higher plants, including maize, barley, rice, wheat, soybean and cucumber [ 6 – 11 ]. However, it is deemed essential for certain plant species [ 12 – 15 ]. Silicon is considered beneficial for plant growth and is often referred to as a quasi-essential element due to its positive impact on plant development [ 16 ]. Silicon is primarily deposited in plant tissues as phytoliths (SiO₂·nH 2 O), which serve as a physical barrier, enhancing the plant's resistance to pathogens and insect pests [ 17 ]. For example, the application of silicon has been shown to diminish the severity of fungal diseases, such as powdery mildew in barley [ 15 ], as well as other conditions like blast and brown spot in rice [ 18 – 19 ]. Silicon’s potential role in promoting plant growth is associated with its ability to enhance cellular and biochemical processes, strengthen membrane integrity, and improve the antioxidant defense system, especially under abiotic stress conditions[ 20 – 21 ]. Silicon (Si) fertilization has long been renowned for improving plant growth, yield, and quality. Research has proven its favourable impact on the quality of various crops, especially on flower traits in gerbera, zinnia and rose [ 22 – 24 ] grown in greenhouse conditions. However, there are no reports on the effects of Si application on aromatically and industrially important davana crops. Artemisia pallens (Davana) is an annual aromatic herb from the Asteraceae family, native to India. It is predominantly cultivated in Karnataka, Tamil Nadu, and Andhra Pradesh. Davana is highly valued economically for its aromatic essential oil, which is used commercially as a natural flavoring agent in food products such as cakes, candy, chewing gum, and ice cream, replacing artificial flavouring agents [ 25 ]. Owing to their significant economic and therapeutic value, these crops have undergone increased commercialization, creating a pertinent framework for investigating the role of silicon (Si) in enhancing herbage biomass and essential oil yield Currently, silicon-based fertilizers, including silicates, diatomaceous earth, and biogenic silica sources like rice hull ash, are used as indirect sources of silicic acid to promote plant growth and increase yield [ 26 ]. These silicon sources convert into mono silicic acid, that taken up by the plant roots [ 27 ]. After being absorbed, it travels through the xylem along the transpiration stream and is distributed throughout the plant tissues [ 28 ]. In leaf sheaths and blades, the silicic acid undergoes polymerization into amorphous silica and deposits in various parts of the plant, including the cell walls, cell lumen, intracellular spaces, and trichomes, making stronger plant tissue [ 29 ]. The beneficial effects of silicon (Si) on various food crops have been extensively studied under both biotic and abiotic stress conditions. However, there is limited literature exploring the impact of Si on the field performance of crops, particularly medicinal and aromatic plants, under non-stress conditions. Thus, the experiment was designed to evaluate the effect of silicon application on the productivity and essential oil composition of A. pallens under open-field conditions. 2. Material and methods 2.1. Study location Field experiments were conducted during 2022-23 and 2023-24 at the CSIR-Central Institute of Medicinal and Aromatic Plants Research Centre, Bengaluru. The experimental site experiences a tropical savanna climate, marked by distinct wet and dry seasons. This climate is characterized by warm to hot temperatures year-round, with a pronounced monsoon season delivering significant rainfall, followed by a dry period. The soil at the site was sandy loam with a neutral pH and an electrical conductivity (EC) of 0.243 ± 0.05 dS m⁻¹. It exhibited low phosphorus (20.17 ± 1.81 kg ha⁻¹) and potassium levels (140 ± 5.62 kg ha⁻¹) but had adequate nitrogen content (266.35 ± 15.32 kg ha⁻¹). Additionally, the concentrations of secondary and micronutrients were within the medium range, indicating a moderately balanced nutrient profile suitable for field experimentation. 2.2. Experimental details The experiment was conducted using a randomized complete block design (RCBD) to facilitate a rigorous evaluation of treatment effects while accounting for spatial variability across the experimental site. Seven treatments were established as follows: T₁ – Control, T₂ – Sole Recommended Dose of Fertilizer (RDF), T₃ – 1% Si + RDF, T₄ – 2% Si + RDF, T₅ – 3% Si + RDF, T₆ – 4% Si + RDF, and T₇ – 5% Si + RDF. Each treatment was replicated three times to ensure statistical reliability and minimize potential errors due to site and environmental heterogeneity. 2.3. Crop husbandry The uniform land stature and fine tilth of the experimental land were achieved by ploughing the experimental land using a mouldboard plough, followed by the passing cultivator and leveling. Seeds of the “Selam local” variety of A. pallens were sown in raised beds, and 35-day-old healthy seedlings were transplanted into the main field with a spacing of 30 × 30 cm. The 100 kg of nitrogen (N), 60 kg of phosphorus (P), and 40 kg of potassium (K) per hectare were applied to meet the nutrient requirement of the crop. Initially, 50% of the nitrogen and the entire amounts of phosphorus and potassium were applied as a basal dose, while the remaining nitrogen was distributed evenly in two subsequent applications. The field was irrigated regularly to ensure sufficient soil moisture levels, facilitating optimal crop growth and nutrient uptake. The weeds are removed manually. No major pest infestation was noticed however, red mite infestation was controlled using Quinalphos 25 EC at a concentration of 1 ml L − 1 . The crop was harvested 150 days after planting, followed by shade drying of the biomass for 36 hours before extraction of essential oil. 2.4. Extraction and analysis of essential oil The harvested biomass was dried in the shade followed by hydro-distillation using Clevenger apparatus for 6 hours and essential oil was collected over anhydrous sodium sulfate to remove the moisture content of the oil and preserved in a cool and dark environment until chemical analysis was performed. The chemical constituents of the essential oils were determined through gas chromatographic analysis using an Agilent 7890B gas chromatograph, as well as gas chromatography-mass spectrometry utilizing a Shimadzu Nexis GC-2030 coupled with QP2020 NX GC-MS. Essential oil recovery and yield were calculated using the following formula. 2.5. Economic viability assessment An economic viability analysis was conducted to assess the profitability of silicon application to Artemisia pallens . The assessment utilized key economic indicators, including cost of cultivation (COC), gross revenue (GR), and net returns (NR). All monetary values were calculated on a per-hectare basis and expressed in U.S. dollars (US $ ha⁻¹), based on prevailing market prices. A market price of US $ 2.34 per liter for the silicon solution was used in the analysis. A treatment was deemed economically viable when the benefit-cost ratio (BCR) exceeded 1 The following formula was employed to compute the economic indices. COC = [Cost of Input + Hired labour cost + Hired machinery + Depreciation on own farm machinery + Land revenue case taxes + Value of farm family labour] GR = (Economic yield) X (Market price) NR = GR-COC B: C ratio = NR/COC 2.6. Efficiency analysis The following formulas were used to determine Production Efficiency (kg ha⁻¹ day⁻¹) and Economic Efficiency (US $ ha⁻¹ day⁻¹) [ 30 ]. 2.7. Data analysis Data on plant growth and yield parameters were recorded at harvest and subjected to statistical analysis to evaluate the effects of different treatments. The experimental data were analysed according to the Randomized Complete Block Design (RCBD) [ 31 ]. Data organization, statistical analysis, and graphical representation were performed using MS Office, SPSS, WASP 2.0, and GraphPad Prism version 8.0.2. Analysis of Variance (ANOVA) was conducted to assess overall treatment effects. Statistical significance among treatment means was determined using the F-test at the 5% probability level (p = 0.05). When significant differences were found, treatment means were compared using the Critical Difference (CD) and post hoc Duncan’s Multiple Range Test (DMRT) to identify statistically distinct groups. 3. Results 3.1. Growth attributes The significant mean square of silicon levels for growth attributes revealed that the traits were notably influenced by different concentrations of foliar application Si (Table 1 ). Plant height serves as a direct indicator of plant growth and vigour. Pooled data from two years demonstrated that foliar application at 4% silicon (44.67 cm) resulted in significantly higher plant height compared to the RDF alone (36.92 cm) and the control (28.22 cm). Additionally, the number of branches and stem girth were significantly higher in the treatment receiving 4% Si (26.15, 0.87cm respectively) compared to sole RDF (21.06, 0.62cn respectively) and control (13.80, 0.51cm respectively). Furthermore, plant height and number of branches recorded in 4% Si application were significantly greater than those observed with 3% and 5% Si concentrations. This consistent trend in the growth performance of A. pallens was observed in both 2022 and 2023. Table 1 Effect of foliar application of silicon on growth attributes of A. pallens Treatment Plant height (cm) Number of branches 2022-23 2023-24 Pooled 2022-23 2023-24 Pooled Control 27.13 ± 3.91d 28.22 ± 2.20d 27.68 ± 3.05c 12.00 ± 1.00d 15.60 ± 1.86d 13.80 ± 1.43d Sole RDF 36.67 ± 3.50bc 37.17 ± 1.69c 36.92 ± 2.10b 19.05 ± 1.77c 23.08 ± 1.20c 21.06 ± 1.49c 1% Si + RDF 39.50 ± 2.41ab 37.85 ± 2.96bc 38.67 ± 0.33b 20.67 ± 2.08bc 25.01 ± 1.49abc 22.84 ± 1.79bc 2% Si + RDF 37.88 ± 1.12bc 40.64 ± 2.21bc 39.26 ± 1.52b 21.83 ± 1.61ab 24.64 ± 1.78bc 23.24 ± 0.71bc 3% Si + RDF 37.67 ± 2.47bc 40.35 ± 2.87bc 39.01 ± 2.64b 22.06 ± 1.05ab 24.44 ± 1.49bc 23.25 ± 0.52bc 4% Si + RDF 43.00 ± 2.04a 46.34 ± 2.19a 44.67 ± 2.12a 24.43 ± 1.32a 27.86 ± 2.57a 26.15 ± 1.93a 5% Si + RDF 34.40 ± 2.28c 42.13 ± 3.50ab 38.27 ± 2.02b 23.17 ± 2.02ab 27.06 ± 1.46ab 25.11 ± 1.50ab Sem (±) 1.53 1.54 1.32 0.87 1.02 0.77 CD (p = 0.05) 4.72 4.76 4.07 2.67 3.13 2.38 Values are presented as mean ± standard deviation. Means followed by different letters within a column indicate significant differences at p ≤ 0.05. 3.2. Yield attributes and herbage yield The pooled two-year data presented in Table 2 on yield attributes of A. pallens indicate that foliar application of 4% Si, in combination with RDF, enhanced flower diameter to 4.90 mm, compared to sole RDF and the control. Notably, the flower diameter observed in the 3% and 5% Si treatments was significantly lower than that recorded with the 4% Si treatment. Table 2 Effect of foliar application of silicon on yield attributes of A. pallens Treatment Stem girth (cm) Flower diameter (mm) 2022-23 2023-24 Pooled 2022-23 2023-24 Pooled Control 0.48 ± 0.08d 0.53 ± 0.05e 0.51 ± 0.04e 2.84 ± 0.22c 3.27 ± 0.25c 3.06 ± 0.23d Sole RDF 0.59 ± 0.03c 0.65 ± 0.04d 0.62 ± 0.03d 3.93 ± 0.16b 4.35 ± 0.25b 4.14 ± 0.20c 1% Si + RDF 0.68 ± 0.03b 0.77 ± 0.03c 0.73 ± 0.03c 4.08 ± 0.20b 4.51 ± 0.14b 4.30 ± 0.16c 2% Si + RDF 0.68 ± 0.02b 0.78 ± 0.03ab 0.73 ± 0.03c 4.06 ± 0.26b 4.41 ± 0.24b 4.24 ± 0.25c 3% Si + RDF 0.75 ± 0.02b 0.84 ± 0.03b 0.79 ± 0.02b 4.19 ± 0.30b 4.56 ± 0.23b 4.38 ± 0.26bc 4% Si + RDF 0.83 ± 0.05a 0.91 ± 0.04a 0.87 ± 0.04a 4.70 ± 0.37a 5.10 ± 0.35a 4.90 ± 0.35a 5% Si + RDF 0.85 ± 0.04a 0.92 ± 0.04a 0.89 ± 0.01a 4.33 ± 0.22ab 5.16 ± 0.07a 4.74 ± 0.14ab Sem (±) 0.02 0.02 0.02 0.14 0.13 0.14 CD (p = 0.05) 0.07 0.07 0.05 0.44 0.39 0.42 Values are presented as mean ± standard deviation. Means followed by different letters within a column indicate significant differences at p ≤ 0.05. Moreover, silicon exerted a significant influence on the herbage yield of A. pallens (Table 3 ). Foliar application of 4% Si, in combination with RDF, resulted in the highest fresh and dry herbage yields, measuring 17.75 t ha − 1 and 7.77 t ha − 1 , respectively, surpassing both sole RDF (14.22t ha − 1 and 6.35 t ha − 1 respectively) and the control (6.80 t ha − 1 and 4.05 t ha − 1 respectively). When comparing silicon concentrations, the 4% Si treatment yielded 12.62% and 14.26% higher fresh and dry herbage yields, respectively, compared to the 3% Si application. The yield performance data from 2022 and 2023 remained consistent with the trend observed in the pooled analysis. Table 3 Effect of foliar application of silicon on herbage yield of A.pallens Treatment Fresh herbage yield (t ha − 1 ) Dry herbage yield (t ha − 1 ) 2022-23 2023-24 Pooled 2022-23 2023-24 Pooled Control 7.78 ± 1.00d 9.17 ± 0.86e 8.47 ± 0.92e 3.78 ± 0.40c 4.32 ± 0.09d 4.05 ± 0.19d Sole RDF 13.30 ± 1.38c 15.15 ± 1.02d 14.22 ± 1.20d 5.99 ± 016b 6.71 ± 1.00c 6.35 ± 0.42c 1% Si + RDF 13.53 ± 0.60c 16.67 ± 0.76cd 15.10 ± 0.48cd 6.08 ± 0.24b 7.32 ± 0.30bc 6.70 ± 0.19c 2% Si + RDF 13.65 ± 0.80bc 17.55 ± 0.48abc 15.60 ± 0.61cd 6.05 ± 0.80b 7.30 ± 0.73bc 6.67 ± 0.74c 3% Si + RDF 14.13 ± 1.10bc 17.38 ± 1.70bc 15.76 ± 1.09bc 6.20 ± 0.23b 7.41 ± 0.19bc 6.80 ± 0.19bc 4% Si + RDF 16.17 ± 0.63a 19.32 ± 0.74a 17.75 ± 0.22a 7.15 ± 0.46a 8.39 ± 0.52a 7.77 ± 0.23a 5% Si + RDF 15.51 ± 1.19ab 18.91 ± 0.84ab 17.21 ± 0.60ab 6.58 ± 0.49ab 8.15 ± 0.28ab 7.36 ± 0.24ab Sem (±) 0.61 0.59 0.48 0.27 0.29 0.20 CD (p = 0.05) 1.87 1.81 1.48 0.83 0.88 0.62 Values are presented as mean ± standard deviation. Means followed by different letters within a column indicate significant differences at p ≤ 0.05. 3.3. Essential oil recovery and yield The foliar application of Si did not considerably influence the essential oil recovery of patchouli; however, it ranged between 0.31% and 0.34% (Fig. 1 ). Although the recovery itself was not significant, the essential oil yield exhibited significant variation, as it was directly influenced by the herbage yield (Table 4 ). Pooled data from two years indicate that a considerable yield of 26.50 L ha⁻¹ of essential oil was achieved through the foliar application of 4% Si, in contrast to sole RDF and the control. A marginal increase in essential oil yield was observed in 2023 compared to 2022. In comparisons among different silicon concentrations, the 4% Si spray exhibited notable superiority, resulting in increments of 22.45%, 25.29%, 16.22%, and 10.08% over the 1%, 2%, 3%, and 5% Si applications, respectively. Table 4 Effect of foliar application of silicon on essential oil recovery and yield of A. pallens Treatment Essential oil recovery (%) Essential oil yield (kg ha − 1 ) 2022-23 2023-24 Pooled 2022-23 2023-24 Pooled Control 0.31 ± 0.01 0.31 ± 0.01 0.31 ± 0.01 11.62 ± 1.48c 13.25 ± 0.72d 12.43 ± 0.97d Sole RDF 0.33 ± 0.01 0.32 ± 0.01 0.32 ± 0.01 19.58 ± 0.96b 21.50 ± 3.51c 20.54 ± 1.64c 1% Si + RDF 0.32 ± 0.01 0.32 ± 0.02 0.32 ± 0.02 19.66 ± 0.62b 23.63 ± 0.86bc 21.64 ± 0.51bc 2% Si + RDF 0.31 ± 0.04 0.32 ± 0.02 0.32 ± 0.03 19.14 ± 4.62b 23.17 ± 3.38c 21.15 ± 3.96c 3% Si + RDF 0.34 ± 0.01 0.33 ± 0.01 0.34 ± 0.01 21.08 ± 1.04b 24.69 ± 0.39bc 22.88 ± 0.44bc 4% Si + RDF 0.35 ± 0.02 0.34 ± 0.01 0.34 ± 0.01 24.73 ± 1.19b 28.26 ± 2.19ab 26.50 ± 0.53ab 5% Si + RDF 0.32 ± 0.01 0.33 ± 0.01 0.33 ± 0.01 21.03 ± 1.49a 26.91 ± 1.55a 23.97 ± 1.34a Sem (±) 0.01 0.01 0.01 1.23 1.13 0.97 CD (p = 0.05) NS NS NS 3.79 3.47 2.97 Values are presented as mean ± standard deviation. Means followed by different letters within a column indicate significant differences at p ≤ 0.05. 'NS' indicates non-significant differences. 3.4. Essential oil profile The percentage composition of compounds across treatments showed varying trends (Table 5 ) but did not record significant variation. Cis-davanone was the dominant compound, with the highest percentage (45.96–49.86%) across all treatments, and its concentration was slightly higher in the treatment with 4% Si application (49.86%). Davana ether (Isomer-1) exhibited a progressive increase, peaking at 5% Si treatment (14.16%), while Davana ether (Isomer-2) remained relatively stable with minor variations. Bicyclogermacne displayed a decreasing trend, with the lowest value in 4% Si treatment (5.79%). Humulene epoxide-II showed a slight increase, reaching its maximum in 2% Si (5.27%) treatment, which was closely followed by 4% Si application (5.19%). Cis-methyl jasmonate and Davanol acetate remained low with minimal variation across treatments. Cis - hydroxy davanone showed a declining trend from control to 2% Si application, followed by a slight recovery in 4% Si application. Trans-davanone + Trans-nerolidol fluctuated slightly without a clear trend. Overall, Cis-davanone dominated the composition, while other compounds exhibited treatment-specific variations. Table 5 Composition of A. pallens essential oil due to foliar application of silicon Compounds T 1 T 2 T 3 T 4 T 5 T 6 T 7 Bicyclogermacrene 8.18 ± 0.18 8.70 ± 0.19 7.82 ± 0.18 7.49 ± 0.26 7.49 ± 0.27 5.79 ± 0.33 7.19 ± 0.02 Davana ether (Isomer − 1) 9.78 ± 0.39 10.93 ± 0.35 11.48 ± 0.48 13.07 ± 0.57 12.35 ± 0.23 11.96 ± 0.20 14.16 ± 0.57 Davana ether (Isomer − 2) 3.32 ± 0.08 3.48 ± 0.12 3.60 ± 0.70 3.51 ± 0.21 3.47 ± 0.43 3.08 ± 0.07 3.89 ± 0.13 Trans-davanone + Trans-nerolidol 1.88 ± 0.01 1.43 ± 0.08 1.37 ± 0.06 1.85 ± 0.08 1.50 ± 0.06 1.82 ± 0.03 1.50 ± 0.02 Cis-davanone 46.54 ± 1.47 48.01 ± 2.41 47.65 ± 1.29 48.87 ± 1.10 48.04 ± 1.34 49.86 ± 1.83 45.96 ± 1.33 Humulene epoxide - II 3.57 ± 0.08 4.28 ± 0.16 4.63 ± 0.02 5.27 ± 0.13 5.10 ± 0.12 5.19 ± 0.16 4.61 ± 0.15 Epi-alpha-cadinol 3.04 ± 0.03 2.36 ± 0.06 2.54 ± 0.03 3.49 ± 0.03 2.28 ± 0.07 2.13 ± 0.11 2.31 ± 0.04 Cis-methyl jasmonate 2.12 ± 0.03 1.72 ± 0.05 1.98 ± 0.05 2.17 ± 0.04 2.58 ± 0.08 1.79 ± 0.04 1.91 ± 0.01 Davanol acetate 0.70 ± 0.01 0.71 ± 0.03 0.74 ± 0.03 0.77 ± 0.03 0.68 ± 0.06 0.72 ± 0.03 0.56 ± 0.01 Cis-hydroxy davanone 2.46 ± 0.09 1.43 ± 0.05 1.39 ± 0.03 1.06 ± 0.04 1.58 ± 0.03 2.15 ± 0.03 1.52 ± 0.03 Note; T 1 -Control; T 2 -Sole RDF; T 3 -1% Si + RDF; T 4 -2% Si + RDF; T 5 -3% Si + RDF; T 6 -4% Si + RDF; T 7 -5% Si + RDF 3.5. Economic analysis The economic analysis revealed significant variations among treatments in terms of cost of cultivation, gross income, net income, and benefit-cost ratio (BCR) across both years and on a pooled basis (Table 6 and Fig. 2 ). The cost of cultivation increased with higher silicon levels, from US $ 1,457.79 ha⁻¹ in the control to US $ 1,778.56 ha⁻¹ under 5% Si + RDF. Gross and net incomes were highest in the 4% Si + RDF treatment (US $ 6,114.92 and US $ 4,388.28 ha⁻¹, respectively), and lowest in the control. The pooled BCR also peaked at RDF + 4% Si (above 2.5), indicating maximum economic efficiency. Although 5% Si + RDF improved gross income, it yielded lower net returns and BCR than 4% Si, suggesting diminishing returns beyond this level. Overall, 4% Si + RDF was the most economically viable treatment, offering the highest profitability and return on investment in A. pallens cultivation under the given conditions. Table 6 Economic assessment of A. pallens cultivation under foliar application of silicon. Treatment Cost of cultivation (US $ ) Gross Income (US $ ) Net Income (US $ ) 2022-23 2023-24 Pooled 2022-23 2023-24 Pooled 2022-23 2023-24 Pooled Control 1448.36 1467.22 1457.79 2680.67 3058.25 2869.46 1232.31 1591.03 1411.67 Sole RDF 1509.53 1528.39 1518.96 4518.60 4962.41 4740.50 3009.07 3434.02 3221.54 1% Si + RDF 1561.45 1580.31 1570.88 4536.06 5453.22 4994.64 2974.61 3872.91 3423.76 2% Si + RDF 1613.37 1632.23 1622.80 4392.52 5345.64 4869.08 2779.15 3713.41 3246.28 3% Si + RDF 1665.29 1684.15 1674.72 4864.74 5695.06 5279.90 3199.45 4010.90 3605.17 4% Si + RDF 1717.21 1736.08 1726.64 5707.47 6522.36 6114.92 3990.26 4786.29 4388.28 5% Si + RDF 1769.13 1788.00 1778.56 4853.89 6208.74 5531.32 3084.76 4420.75 3752.75 3.6. Efficiency analysis The effectiveness of foliar silicon application was further evaluated using various indices, including production efficiency (Fig. 3 ) and economic efficiency (Fig. 4 ). The application of 4% Si demonstrated superior crop performance, achieving a production efficiency of 0.20 L ha⁻¹ day⁻¹, which was significantly higher than that of sole RDF (0.16 L ha⁻¹ day⁻¹) and other Si concentrations. The 4% Si foliar spray proved economically viable for A. pallens , exhibiting the highest economic efficiency (33.75 US $ ha⁻¹ day⁻¹) among all treatments. These findings highlight the potential of silicon application as a highly effective and sustainable strategy for optimizing A. pallens production. 3.7. Biosynthetic linkages of A. pallens essential oil compounds: insights from correlation analysis The biosynthetic linkages among various compounds in Artemisia pallens essential oil were analyzed using a correlation matrix (Fig. 5 ). The results reveal both positive and negative associations among the compounds. A strong positive correlation (0.69) between Cis - davanone and Davanol acetate suggests their potential co-occurrence in the essential oil composition. Similarly, Davana ether Isomers-1 and − 2 exhibit a positive correlation (0.57), indicating a shared biosynthetic pathway. However, these isomers show inverse relationships with Trans-davanone + Trans-nerolidol and Davanol acetate, suggesting metabolic divergence. A particularly strong negative correlation (-0.84) was observed between Cis-hydroxy davanone and Humulene epoxide-II, implying that an increase in one leads to a significant decrease in the other. Additionally, Humulene epoxide-II exhibits strong positive correlations with Davana ether (Isomer-1) and Cis-methyl jasmonate, indicating possible co-expression or biosynthetic linkage. The observed correlation patterns highlight potential metabolic trade-offs and competition in essential oil biosynthesis, shaping the overall chemical composition of A. pallens oil. 3.8. Principle component analysis. The Principal Component Analysis (PCA) was conducted to determine the optimal silicon concentration for enhancing the performance of A. pallens (Fig. 6 ). PC1 (72.3%) accounts for the majority of the variance, indicating that most of the differences in A. pallens response are influenced by factors along this axis, while PC2 (10.2%) captures additional, though comparatively smaller, variations. The clear separation between the control and silicon-treated groups suggests that silicon significantly impacted the metabolic and physiological process of A. pallens . Higher silicon treatments (4–5% Si) exhibit distinct effects on growth, yield, and secondary metabolite production, setting them apart from lower silicon levels. PCA results indicate that moderate silicon application (3–4%) enhanced the performance of A. pallens , as reflected in the clustering patterns. This suggests unique metabolic and physiological shifts, potentially optimizing yield, while also influencing plant chemistry. The control group (without silicon) is distinctly different from all Si-treated groups, reinforcing the positive role of silicon in improving A. pallens cultivation. 4. Discussion Proficient management of beneficial elements like silicon is imperative for crop productivity under critical conditions. Silicon was preferably applied through foliar spraying due to its limited mobility within the soil, low solubility and tendency to become immobilized in soil particles can restrict its availability to plant roots [ 32 ]. Silicon significantly enhances the physiological and morphological characteristics of crops. Silicon, though not considered an essential nutrient for most plants, plays a crucial role in enhancing stress tolerance, improving water-use efficiency, regulating reactive oxygen species, alleviation of water stress, and boosting plant growth and productivity, especially under suboptimal growing conditions [ 33 – 35 ]. Our findings align with previous research demonstrating silicon's beneficial effects on plants exposed to various abiotic and biotic stresses, such as drought, salinity, and pathogen attack [ 12 , 36 ]. Previous research has also demonstrated that silicon in the form of sodium and potassium silicate, stabilized with sorbitol, performed best at a concentration of 0.8 g L − 1 of Si which outperformed other sources, including mono silicic acid stabilized with PEG400 (SiAc), nano silica (Nano), and potassium silicate without stabilizers (SiK) in cotton [ 37 ]. In present study, the foliar application of 4% silicon combined with RDF was found to be significantly superior in enhancing the growth attributes of A. pallens . These findings highlight the potential of silicon applications to enhance A. pallens productivity. This stimulatory effect may be attributed to the role of silicon in strengthening plant cell walls, boosting photosynthetic efficiency, and enhancing water and nutrient uptake [ 38 ]. Recent studies have shown that silicon (Si) enhances cytokinin biosynthesis in both sorghum and arabidopsis [ 39 ]. Cytokinin stimulates cell division during the proliferation stage and promotes cell expansion during the expansion stage. During leaf senescence, cytokinin helps reduce sugar accumulation, boost chlorophyll synthesis, and extend the photosynthetic period of the leaf [ 40 ] thus expanding the growing days of the plant. Additionally, Silicon treatment has been demonstrated to strengthen the stem by increasing silica deposition, thickening the culm wall and vascular bundles, and improving overall stem stability [ 41 ]. Silicon also helps mitigate stress factors such as drought, pests, and diseases, allowing the plant to allocate more resources to growth [ 42 – 43 ]. Specifically, Silicon helps to decrease plant transpiration rates, enhancing resilience against water scarcity, high temperatures, and humidity, thus improving crop performance in the field [44 − 36]. Combined with RDF, these benefits are likely amplified, leading to more robust and vigorous plant growth. Consistent with the present study, silicon application at 300 ppm in wheat [ 47 ], soil application of 25 kg ha⁻¹ combined with foliar application of 0.25% in soybean [ 48 ], and foliar application of 0.2% silicic acid at the knee-high and tassel initiation stages in maize [ 32 ] significantly improved growth attributes. A 45% increase in shoot biomass of tef with the application of 4 mM silicon [ 49 ] and a 53% increase in rice yield under foliar silicon application [ 50 ] were recorded, thereby demonstrating its effectiveness in enhancing crop productivity. The significant and vigorous growth seen in silicon-treated plants is associated with enhanced nitrogen uptake, as silicon has been shown to promote nitrogen absorption in plants [ 51 ]. The application of silicon at 4% with RDF was also effective in enhancing herbage yield, flower diameter, and essential oil yield, although it did not significantly impact essential oil recovery. However, a slight increase in recovery was observed with this treatment. Although the role of silicon in essential oil (EO) biosynthesis in medicinal herbs is not yet fully understood, it may be partially explained by the fact that EO production is regulated by various endogenous signalling pathways [ 52 ]. Recently, from the molecular point of view, silicon has emerged as an important signalling molecule in the elicitor-induced biosynthesis of secondary metabolites in plants, potentially leading to multiple transcriptional changes. The increase in EO yield with silicon application could also be attributed to enhanced growth cycles, improved nutrient uptake, or changes in the population of oil glands on leaves [ 53 ]. Silicon has a significant impact on increasing chlorophyll content, which enhances light interception and photosynthesis, facilitating greater dry matter assimilation and ultimately leading to higher yields in treated plants [ 48 , 54 ]. Additionally, chlorophyll content was doubled with Si application at a concentration of 1.0mM in tef [ 49 ]. The study on oil palm also reported that silicon application positively correlated with chlorophyll content [ 51 ]. Chlorophyll is an important pigment in photon absorption, transmission, and transportation and is closely related to the photosynthesis and accumulation of dry matter in plants [ 55 ]. The significant improvement in rice yield attributes with the soil application of CaSiO₃ at 500 kg Si ha⁻¹ [ 56 ] and with 100 ppm Si application [ 57 ] is consistent with the findings of the present investigation. Further unlike present study, comparable yield enhancements were observed in cantaloupe, wheat and olive [ 58 – 60 ] up on foliar application of silicon. The increase in yield may be attributed to enhanced photosynthate partitioning and improved nutrient utilization mediated by silicon, as evidenced in soybean where foliar application of silicic acid at 2 mL L⁻¹ (three times) for the long-duration variety (MAUS-2) and 4 mL L⁻¹ (two times) for the short-duration variety (KBS-23) significantly improved performance [ 61 ]. Beyond these parameters, efficacy indices such as production efficiency and economic efficiency potentially reveal deeper insights into the role of silicon as a beneficial element for enhancing the cultivation performance of A. pallens . Foliar application of silicon (Si) proved agronomically effective in cotton, as it enhanced Si accumulation, pigment synthesis, and photosystem II quantum efficiency, while simultaneously reducing initial and maximum fluorescence [ 37 ]. These effects collectively lead to increased dry matter yield in crops and enhance the effectiveness of silicon in promoting the growth and development of A. pallens. The increase in herbage yield due to silicon application led to a corresponding rise in essential oil yield, making silicon a profitable input for A. pallens . This was reflected in a higher benefit-cost (B:C) ratio in silicon-treated plots compared to those receiving only the recommended dose of fertilizers (RDF) and the control. Consistent with the present findings, application of silicon at 120 kg ha⁻¹ was found economically beneficial for rice cultivation with B:C ratio of 1.38 [ 62 ]. Similarly, the application of 2.0 g Si L⁻¹ in common bean resulted in differential profits of up to US $ 236.72 [ 63 ]. Overall, silicon fertilization at specific rates demonstrated stimulatory effects on the growth and development of A. pallens . The beneficial impact of silicon on Artemisia can support increased essential oil production to meet rising demand. Further research into the metabolic roles of silicon as a nutrient and its interactions with other nutrients and hormonal supplements under varying growth conditions could contribute to more effective nutrient management in A. pallens . 5. Conclusion Foliar application of silicon demonstrated substantial influence on the field performance and productivity of A. pallens . Among the different silicon concentrations tested, 4% Si emerged as the most effective treatment, significantly improving growth and herbage yield. The superior yield performance observed under the 4% Si treatment was further evidenced by a significant increase in essential oil yield, although the oil recovery percentage remained statistically unaffected. Overall, the study underscores the potential of silicon application in enhancing the agronomic and economic viability of A. pallens cultivation. This application strategy proves to be a sustainable and effective approach for optimizing growth, yield, and essential oil productivity, making it a promising agronomic intervention for improving crop performance. Declarations Acknowledgment: The authors express their gratitude to the Director of CSIR-Central Institute of Medicinal and Aromatic Plants, Lucknow, India, Declaration of conflicting interest: The authors confirm that they have no conflicts of interest to disclose. 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Silicon 14:4169–4181. https://doi.org/10.1007/s12633-021-01208-y Additional Declarations No competing interests reported. Cite Share Download PDF Status: Under Review Version 1 posted Editorial decision: Revision requested 07 Jan, 2026 Reviews received at journal 14 Dec, 2025 Reviews received at journal 12 Dec, 2025 Reviewers agreed at journal 23 Nov, 2025 Reviewers agreed at journal 22 Nov, 2025 Reviewers invited by journal 08 Sep, 2025 Editor assigned by journal 01 Sep, 2025 Submission checks completed at journal 01 Sep, 2025 First submitted to journal 29 Aug, 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. 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Yogendra","email":"data:image/png;base64,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","orcid":"","institution":"CSIR - Central Institute of Medicinal and Aromatic Plants","correspondingAuthor":true,"prefix":"","firstName":"N.","middleName":"D.","lastName":"Yogendra","suffix":""},{"id":513394955,"identity":"4869db3e-bed8-4319-9d2b-6516ee2e2f49","order_by":2,"name":"V. S. Pragadheesh","email":"","orcid":"","institution":"CSIR - Central Institute of Medicinal and Aromatic Plants","correspondingAuthor":false,"prefix":"","firstName":"V.","middleName":"S.","lastName":"Pragadheesh","suffix":""},{"id":513394956,"identity":"21332ae4-936f-4806-9681-d7bf43a1ce8c","order_by":3,"name":"N. B. Prakash","email":"","orcid":"","institution":"University of Agricultural Sciences-GKVK","correspondingAuthor":false,"prefix":"","firstName":"N.","middleName":"B.","lastName":"Prakash","suffix":""}],"badges":[],"createdAt":"2025-08-29 10:08:41","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-7487555/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-7487555/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":91457155,"identity":"a17c9ac3-22a3-4fd2-a0e6-7f694d2334dd","added_by":"auto","created_at":"2025-09-16 16:32:27","extension":"png","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":20650,"visible":true,"origin":"","legend":"\u003cp\u003eEssential oil recovery of \u003cem\u003eA. pallens\u003c/em\u003e as influenced by foliar application of silicon\u003c/p\u003e","description":"","filename":"image1.png","url":"https://assets-eu.researchsquare.com/files/rs-7487555/v1/81114b6c3f22171e2087e28e.png"},{"id":91456547,"identity":"f4b71d8b-6ae6-4742-9fcc-93d2110346dc","added_by":"auto","created_at":"2025-09-16 16:24:27","extension":"png","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":17634,"visible":true,"origin":"","legend":"\u003cp\u003ebenefit cost ratio (BCR) of \u003cem\u003eA. pallens\u003c/em\u003e as influenced by foliar application of silicon\u003c/p\u003e","description":"","filename":"image2.png","url":"https://assets-eu.researchsquare.com/files/rs-7487555/v1/23447537238ef8da1e54750a.png"},{"id":91458255,"identity":"d6b2876b-22e8-4e35-9726-22a15513a6a7","added_by":"auto","created_at":"2025-09-16 16:40:27","extension":"png","order_by":3,"title":"Figure 3","display":"","copyAsset":false,"role":"figure","size":22121,"visible":true,"origin":"","legend":"\u003cp\u003eProduction efficiency (PE) of \u003cem\u003eA. pallens\u003c/em\u003e as influenced by foliar application of silicon.\u003c/p\u003e","description":"","filename":"image3.png","url":"https://assets-eu.researchsquare.com/files/rs-7487555/v1/8bce5b1cf6f94f3259e6c513.png"},{"id":91457157,"identity":"245ca49b-77b6-4971-9919-27711bb4116d","added_by":"auto","created_at":"2025-09-16 16:32:27","extension":"png","order_by":4,"title":"Figure 4","display":"","copyAsset":false,"role":"figure","size":22310,"visible":true,"origin":"","legend":"\u003cp\u003eEconomic efficiency (EE) of \u003cem\u003eA. pallens\u003c/em\u003e as influenced by foliar application of silicon.\u003c/p\u003e","description":"","filename":"image4.png","url":"https://assets-eu.researchsquare.com/files/rs-7487555/v1/8bc06be6272ff0940c142228.png"},{"id":91456551,"identity":"a043ee00-3e82-4d1d-9102-b5e8c0aa0926","added_by":"auto","created_at":"2025-09-16 16:24:27","extension":"png","order_by":5,"title":"Figure 5","display":"","copyAsset":false,"role":"figure","size":75513,"visible":true,"origin":"","legend":"\u003cp\u003eCorrelation matrix of essential oil constituents of \u003cem\u003eArtemisia pallens\u003c/em\u003e\u003c/p\u003e","description":"","filename":"image5.png","url":"https://assets-eu.researchsquare.com/files/rs-7487555/v1/dbc86e5060e7dcce31aaf8a5.png"},{"id":91456558,"identity":"6e999ccb-f79d-45f8-a1a1-76e9f30555f9","added_by":"auto","created_at":"2025-09-16 16:24:27","extension":"png","order_by":6,"title":"Figure 6","display":"","copyAsset":false,"role":"figure","size":78374,"visible":true,"origin":"","legend":"\u003cp\u003ePrincipal component analysis of silicon concentrations on the performance of \u003cem\u003eA. pallens\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eNote:\u003c/strong\u003e \u003cstrong\u003ePH\u003c/strong\u003e-Plant height; NB-Number of branches; \u003cstrong\u003eFD\u003c/strong\u003e-Flower diameter; \u003cstrong\u003eSG\u003c/strong\u003e-Stem girth; \u003cstrong\u003eFHY\u003c/strong\u003e-Fresh herbage yield; \u003cstrong\u003eDHY\u003c/strong\u003e-Dry Herbage yield; \u003cstrong\u003eOP\u003c/strong\u003e-Oil percentage; \u003cstrong\u003eOY\u003c/strong\u003e-Oil yield; \u003cstrong\u003eCD\u003c/strong\u003e-Cis-davanone; \u003cstrong\u003eBC\u003c/strong\u003e-Bicyclogermacrene\u003c/p\u003e","description":"","filename":"image6.png","url":"https://assets-eu.researchsquare.com/files/rs-7487555/v1/48154a21027a55245fb44a3d.png"},{"id":91459929,"identity":"c347ccdb-2bef-4f18-8ae1-c3329e8e9787","added_by":"auto","created_at":"2025-09-16 16:56:28","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1702129,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-7487555/v1/07df000e-37c6-4b0d-9053-3338f2704631.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Enhancing productivity and essential oil composition of Artemisia pallens Wall. ex DC through foliar application of silicon","fulltext":[{"header":"1. Introduction","content":"\u003cp\u003eSilicon (Si) ranks as the second most abundant element in soil, following oxygen, and constitutes roughly 28% of the Earth's crust [\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e]. In soil, it primarily exists in the form of crystalline aluminosilicates, which are insoluble and not readily available for plant uptake [\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e]. In contrast, the form of silicon that plants can access, known as silicic acid (Si (OH)\u003csub\u003e4\u003c/sub\u003e), is typically present in low concentrations in most soils, usually between 0.1 and 0.6 mM in soil solutions [\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e]. Silicon is viewed as a quasi-essential element that serves as a beneficial nutrient for the growth and development of many higher plants, including maize, barley, rice, wheat, soybean and cucumber [\u003cspan additionalcitationids=\"CR7 CR8 CR9 CR10\" citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e]. However, it is deemed essential for certain plant species [\u003cspan additionalcitationids=\"CR13 CR14\" citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e]. Silicon is considered beneficial for plant growth and is often referred to as a quasi-essential element due to its positive impact on plant development [\u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e16\u003c/span\u003e]. Silicon is primarily deposited in plant tissues as phytoliths (SiO₂\u0026middot;nH\u003csub\u003e2\u003c/sub\u003eO), which serve as a physical barrier, enhancing the plant's resistance to pathogens and insect pests [\u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e17\u003c/span\u003e]. For example, the application of silicon has been shown to diminish the severity of fungal diseases, such as powdery mildew in barley [\u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e], as well as other conditions like blast and brown spot in rice [\u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e19\u003c/span\u003e]. Silicon\u0026rsquo;s potential role in promoting plant growth is associated with its ability to enhance cellular and biochemical processes, strengthen membrane integrity, and improve the antioxidant defense system, especially under abiotic stress conditions[\u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e20\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e].\u003c/p\u003e\u003cp\u003eSilicon (Si) fertilization has long been renowned for improving plant growth, yield, and quality. Research has proven its favourable impact on the quality of various crops, especially on flower traits in gerbera, zinnia and rose [\u003cspan additionalcitationids=\"CR23\" citationid=\"CR22\" class=\"CitationRef\"\u003e22\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e24\u003c/span\u003e] grown in greenhouse conditions. However, there are no reports on the effects of Si application on aromatically and industrially important davana crops.\u003c/p\u003e\u003cp\u003e\u003cem\u003eArtemisia pallens\u003c/em\u003e (Davana) is an annual aromatic herb from the Asteraceae family, native to India. It is predominantly cultivated in Karnataka, Tamil Nadu, and Andhra Pradesh. Davana is highly valued economically for its aromatic essential oil, which is used commercially as a natural flavoring agent in food products such as cakes, candy, chewing gum, and ice cream, replacing artificial flavouring agents [\u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e25\u003c/span\u003e]. Owing to their significant economic and therapeutic value, these crops have undergone increased commercialization, creating a pertinent framework for investigating the role of silicon (Si) in enhancing herbage biomass and essential oil yield\u003c/p\u003e\u003cp\u003eCurrently, silicon-based fertilizers, including silicates, diatomaceous earth, and biogenic silica sources like rice hull ash, are used as indirect sources of silicic acid to promote plant growth and increase yield [\u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e26\u003c/span\u003e]. These silicon sources convert into mono silicic acid, that taken up by the plant roots [\u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e27\u003c/span\u003e]. After being absorbed, it travels through the xylem along the transpiration stream and is distributed throughout the plant tissues [\u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e28\u003c/span\u003e]. In leaf sheaths and blades, the silicic acid undergoes polymerization into amorphous silica and deposits in various parts of the plant, including the cell walls, cell lumen, intracellular spaces, and trichomes, making stronger plant tissue [\u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e29\u003c/span\u003e].\u003c/p\u003e\u003cp\u003eThe beneficial effects of silicon (Si) on various food crops have been extensively studied under both biotic and abiotic stress conditions. However, there is limited literature exploring the impact of Si on the field performance of crops, particularly medicinal and aromatic plants, under non-stress conditions. Thus, the experiment was designed to evaluate the effect of silicon application on the productivity and essential oil composition of \u003cem\u003eA. pallens\u003c/em\u003e under open-field conditions.\u003c/p\u003e"},{"header":"2. Material and methods","content":"\u003cdiv id=\"Sec3\" class=\"Section2\"\u003e\n \u003ch2\u003e2.1. Study location\u003c/h2\u003e\n \u003cp\u003eField experiments were conducted during 2022-23 and 2023-24 at the CSIR-Central Institute of Medicinal and Aromatic Plants Research Centre, Bengaluru. The experimental site experiences a tropical savanna climate, marked by distinct wet and dry seasons. This climate is characterized by warm to hot temperatures year-round, with a pronounced monsoon season delivering significant rainfall, followed by a dry period. The soil at the site was sandy loam with a neutral pH and an electrical conductivity (EC) of 0.243\u0026thinsp;\u0026plusmn;\u0026thinsp;0.05 dS m⁻\u0026sup1;. It exhibited low phosphorus (20.17\u0026thinsp;\u0026plusmn;\u0026thinsp;1.81 kg ha⁻\u0026sup1;) and potassium levels (140\u0026thinsp;\u0026plusmn;\u0026thinsp;5.62 kg ha⁻\u0026sup1;) but had adequate nitrogen content (266.35\u0026thinsp;\u0026plusmn;\u0026thinsp;15.32 kg ha⁻\u0026sup1;). Additionally, the concentrations of secondary and micronutrients were within the medium range, indicating a moderately balanced nutrient profile suitable for field experimentation.\u003c/p\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec4\" class=\"Section2\"\u003e\n \u003ch2\u003e2.2. Experimental details\u003c/h2\u003e\n \u003cp\u003eThe experiment was conducted using a randomized complete block design (RCBD) to facilitate a rigorous evaluation of treatment effects while accounting for spatial variability across the experimental site. Seven treatments were established as follows: T₁ \u0026ndash; Control, T₂ \u0026ndash; Sole Recommended Dose of Fertilizer (RDF), T₃ \u0026ndash; 1% Si\u0026thinsp;+\u0026thinsp;RDF, T₄ \u0026ndash; 2% Si\u0026thinsp;+\u0026thinsp;RDF, T₅ \u0026ndash; 3% Si\u0026thinsp;+\u0026thinsp;RDF, T₆ \u0026ndash; 4% Si\u0026thinsp;+\u0026thinsp;RDF, and T₇ \u0026ndash; 5% Si\u0026thinsp;+\u0026thinsp;RDF. Each treatment was replicated three times to ensure statistical reliability and minimize potential errors due to site and environmental heterogeneity.\u003c/p\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec5\" class=\"Section2\"\u003e\n \u003ch2\u003e2.3. Crop husbandry\u003c/h2\u003e\n \u003cp\u003eThe uniform land stature and fine tilth of the experimental land were achieved by ploughing the experimental land using a mouldboard plough, followed by the passing cultivator and leveling. Seeds of the \u0026ldquo;Selam local\u0026rdquo; variety of \u003cem\u003eA. pallens\u003c/em\u003e were sown in raised beds, and 35-day-old healthy seedlings were transplanted into the main field with a spacing of 30 \u0026times; 30 cm. The 100 kg of nitrogen (N), 60 kg of phosphorus (P), and 40 kg of potassium (K) per hectare were applied to meet the nutrient requirement of the crop. Initially, 50% of the nitrogen and the entire amounts of phosphorus and potassium were applied as a basal dose, while the remaining nitrogen was distributed evenly in two subsequent applications. The field was irrigated regularly to ensure sufficient soil moisture levels, facilitating optimal crop growth and nutrient uptake. The weeds are removed manually. No major pest infestation was noticed however, red mite infestation was controlled using Quinalphos 25 EC at a concentration of 1 ml L\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e. The crop was harvested 150 days after planting, followed by shade drying of the biomass for 36 hours before extraction of essential oil.\u003c/p\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec6\" class=\"Section2\"\u003e\n \u003ch2\u003e2.4. Extraction and analysis of essential oil\u003c/h2\u003e\n \u003cp\u003eThe harvested biomass was dried in the shade followed by hydro-distillation using Clevenger apparatus for 6 hours and essential oil was collected over anhydrous sodium sulfate to remove the moisture content of the oil and preserved in a cool and dark environment until chemical analysis was performed. The chemical constituents of the essential oils were determined through gas chromatographic analysis using an Agilent 7890B gas chromatograph, as well as gas chromatography-mass spectrometry utilizing a Shimadzu Nexis GC-2030 coupled with QP2020 NX GC-MS. Essential oil recovery and yield were calculated using the following formula.\u003c/p\u003e\n \u003cp\u003e\u003cimg 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inFTNVl9J5Ospn2zyXI/xp7ug9Ha94xH2S0VtZBCtQseRhuY13MNelYxhIuE6rOg2jgX2h7VmAqtSwRAEAShtSgSibPayobvOqG+5yZHjEy5vV2Pk27pRCuH8qW74nZ4CgPnGKJ59gbOTw+htW4Hx9yjCX2nCEEN0goX7DQnMuRXv+Lf/9yB7777gR+GDKD/ck22n3uEU0w+ac3WeFKk38fl3Db6LLzKBf9SpG+1lHNId9rPnh7fs2SHNXfSmzWkpT4EX9rH8p66nH6WSkKzanWy0JNcXz2OH7poo/s0lZSGuVKKpDtcXrKddYtv8DBX8mZelCSFald91q/dzWRDb4LLZU0LG39YLfIqV+zXjWZ2nznMMIkivLRZr5ckllDj6WxZuoDpppGEFTQfziiH6hf4n9mGWu/l9YlCcN1HJgqKeGKurGdtp24M3fgQi8Tmx5VR4LCXI/P6MNbAmjtRsoZeryoU4We4sGcXA9fZYZ1U1uw6yyh+tpW9mqsYvMEOu9SKH7+OlKe4HhzPkLm72fQg/U05/XcUkON1gsN9O7F0020uxyve9EIpgnl1az+re2pjfD+OaGlLn1+ZULny3GgD83utRs8yhvAP9IYJ/zxUG+dC26MaU6F1iQAIgiC0mjQSbXaz45sv0FBfxTLtS2zeZklQluR1lbgke9yPTWbwAm1GTlPHWF+b5af9sU2teqcQhbLxXJNwmYvz1ZjQaxkaRy5x4sJ57ty5g6OzF/7ZkncawoUuh3lwTI3h+5x59FZioGxwh5Jms5/V389g+4VQXta9SVYqgk5ivnYcQyaaYBmneGu+UdGTrZzeNIYv51/jQWTV6+SoKoE8202sn7OVmTt88G8algeynHjCTo9CbccBZprGUfT+yUAqSqhNvoK52jzmjj+AkW8FOU3HlsCrC5xZNomJ8/exx7OMzLduWC3k3OXBFg0GdN/L2ZCyZj03HyKDajcCT29h3g+L2HA1goDqZvetyBnf0xpMGDQXTat4/CrevJZ2Zynnjusx+VwMIUVvfq6oqyP+4gyM9m9kmmkMESUfkbCk2OF6QJlQ7WHzw4wPJFTR5LocYUOXqWw19sal6s1717wy5/bG0QwdY8zV0LqG9bdUSaHGledHtFjQa1V9QhUmEqrPgmrjXGh7VGMqtC4RAEEQhFaTRJLdXjT/878Y8XVH5u21RfdxJhWNGUqKIy+NRjBs3CD+4+sxTFl5lssBEtJVJ07VK6Qq1pTz06eyaPYxrjcfhkcZ0tjnhERn8aq48WcVJFzX5MyW8ay2CMInIZKcvCS8M6FM2ful8CT+1lamtx/HqrOhDSXdqylJjML95GSWqnXgj0vNsYioaXaefKLOLmKH2lh+MHDCP/n1vCVFbjiBx4YxZcU2Zl8KJrUghui4bOLyaqmKccRq1RdM2XyArU7VyBXV1OUEkpSQRkw2SN7bXaVMqMy5PHcG00bv41BI46K8QJY7ftpj6dV5Gn022fIiX4HqEkqV3oZc0F5Ku6lm3IospvKjsoSGhOqUFjM6zGXV1RgiG4fAydLINl/DykEj+O3YY5j4FlDU8J6ykmS8DYdz6MAWdJxTSE4PIiI5jfASqMyP5YVBfw4f3oueaxHpmWHEZ+cQksfblQmby3bF//hsho3dwaqrcaS8O/mpQSDpj3SZ990Ylhz0xLs+GaqlPDUOLxM1NBZ9xe8WnsYsoApZi29RB0U22O/SZGz3rex+mki8GPL3WVBtnAttj2pMhdYlAiAIgtBq0inxPIrWb/+XX/9vD6YecKlf1LYpX0p1xHNPL0b+8AX/O0qfaZcjyFSW52tRDbVlTtiuGc+OqUvYeNUF96hYYmNjSfKy5OmhrZy0DOJhSmNPUy7xV5djOL8Pay88wsruMk7eLpwLUpBRfwGviLfYyPKu3zFx7WUuB6cSnRjMy4d3OK/Tg1mag/hW9ylOMY0JVS2KGkdct05DrdcCZpyPILC+kh9IM8LwMOjE1FWrmXTgFkFe97j5LAqH6CrKYu5zb3kHpqltYINlGIHBznjdO879R148DVVQ3mLyqFSLrMod122T0RylxuQ9z3js94qoKF+CTA+wZ9BwBiw+y1ab9HcTk9pCos/NRm/jPDobuBOcUfc3JAkJJN7dxp5BQxivYY6xQySRr8KIeHSR67MmMmH8Jkaf9Ceh8E1Xm6QwgBe7BrN1+Wy23X6Grc0pLj/zwiJFQUluAE6bfmDrijXo3Anlmd0FrHzDuRmloPp9vXWVQSRf12RKTw0WHPDCT654zzDJRNKe7GBdzw6MX3qSs76pvEoKxcvmAZf0BrFAswdfa1vxIKSq5YIcijqIvci1DavoOvQ458KKm5JE4Z+bauNcaHtUYyq0LhEAQRCEVlNBbdA5Do5qxx9Ha7PFKoWy5g3W1Ke46Q1kWLvJTNrtzv081cIKzSmLNBSSdf8IVsunMKL9d3Tu3oMePYaxdOUJDI464RJaTFbTgkUS0h9v5Mjk39B74DI0Djhz3yuT5NLGnpEaykPtuLygL2N69aTz4LmoHbnFQ98gHh2YioHGVJbeTCSoaW5SKYqM61iuWcrc4bvZ/7yQ1IaEQFEUS+S5cSyf1IHfdZmO1tFneGQryK2QIc0PIvT4eFZM6kL7XsOYOH0Hu064Y+2ZR04JSN+tlNBEQQllXsdx2jaVQV99z3ddlZ93MJNHrWPtNlMsogqJKlctBV+HtOI5DuuGs2DUAiZdiCK2+P139V21SJKeEH5oBsv79aV9J+U5+zGi/0IWqR/A1DUO15yat3p85BWphJwcxaaRX9F3vD7bTz/HPqSAjEqQlqcTcGQwG4Z3oO/EQ+w464nLqxLSK3hPr5HyDRPJdtjLxv7zWbLFmiclbw+7fKOW6lg3bq8YxuQ+3fm+/3RmGl7BwieEJ8aL2LtqFIvNwnn+vgV7ZRJqX+zGeL06XdXvYplY/f5rEv6pqDbOhbZHNaZC6xIBEITPWiL5fnd4dOMOT6MLPnJeyUcqSyPv5UWsHz/gXmAp6apjsD5LCqTZgQTYmHHBPoTgNJXumLIEkt0tuHnBEcfQ4h9Z4LZBbjxpjhZcOXiQHTt2YGCwG6NTjlj7lr/T21OZ5Iuv5RFOGl3F3Pr1ELt6OZ7EvkrksUM0MQ4W3D1txJkzZzh8z5nosMeYrV7MmoX7OBdRSXZT10g1FIUSaG3Lo/v+hBdK3wyzqy2hLNIWxxtGHDEy4Yp9akMvmLL7SkpltC1Od45yxMgII6Ob3HqWTUpR48E/ojaRsgArbh46iG79592H0dH72IZmv2deUCXS7LvcVZvBrCHb2ela/OZaPpaiCFmcHa4mR9inr4+urh6HD5tx9VkEWS129UBh2GOcrxzh2LFH3HbMI69ZT2NB2EMczY9wzPghd5zyyPvRMn/l1KY84PqiMSzXOIJRSC1lqr1ZeT6kxMTzwCGGaKeHPDQ5wqlTpzhyx4GwcFvuaq9m5QwdzoaUk1rbrJhHc7Iccu8sZueKWQzf541HxocSeuGfiWrjXGh7VGMqtC4RgM+KclHNFGLd3XF3d8crLJrYAhk1H/hG+O+nBklxEq9cXeuvxftVAglFCmrFv96tQ16NJNuPGPfLeN86helpU676ZzasYfQzKYolzVqPS2f1OPHQm/P2UcRWSpWzNIRfEGlxKDm3lnPx5A3Wnk9+e20iSTBJF9VYNnEzg9e74FH+pmJg25FCsctWNgybwsL1j3ic3bgmV9tSWxJMxMmJbFqmxdRjMURXNiv0UR5P3r213DxtxlLjaOqaB1EWRfrNFWhN06TPUjvsclsqcKJUB3kOWG+ZzrLF29jqkENKxXsSL+GfjmrjXGh7VGMqtK5fdgDkUmSSSiorK6ioqKC8vJzi4uL6raSkpP5n9VtlDVUSaQuLFP6zUA7tqaW2qpIaiZS6T06ASiiJv4PJxEH0+vILBi/czm7XKtJb/tf1Z6Mc7S+TVCGprkEibfwHuoCiiOscGdSNrl98wYg1hzniIydPtLZbgQIyXhJ4Sp29aw9wwSKKmMIiSqvrmiU7UqQ1Db9fyq1G3vKcCyV5HTU1EqpqpG+vayOrRVqRT0nWM1zu7kRj4xZ2P40iWPRU/aJUpjvywmAE2su2svqIN7l5FVRVVVFdHU2CrT47RnRnyJwjaD8poqTliTu/UFJkNZWUx17j6a7uDBqxkGWm0cS2WC78l08hL0IWeIzjS1fRb8pFTCLyKWr4havL88Rn/xh2Ll/Loj2uJKaV1cewqiqBVOcD7J3QkyFTDNC0yiG7+SJazVVGkXN/B5oTNzB16xMcKmTvSbzaIinSujpqZfxIO0H5b1Ul5WVl9e2MsrJyKmpkTYs4t0guQVJRQWlpaUO7pIaaNvV78ppq41xoe1RjKrSuX3YAiqNJeKDL3i1LmTNnDjNnzmTcuHGMHj2aCRMmMGvWrPqfz9E5zzarKLLLPznT+IUroSDsLhabNnD+dhCehaqvf6waaooDCTZdy5ZBg5k4ZR87PSpI++C/Fj+VFKkkCL+zupgYmHAjuI68+vNVU1PgjZfxEtb07M+0RWc5FCT7QDlg4eeTSKq1Cccma3LMzA+3NNU5J+Uocp7geW0dK2fPZva8dWw44UlocgvZrqwQoq24YGrBvntxJEta+h0soyLuJlb6c5i95DL6j1LIEHH+xairiCP12Q4eHJjDuEH9GDVydP3f2NGjh6GxSJtFqy5x8mEs0R+3+u4vhPIBiyHO6ignFoxnwtQZaFz0wC5B8p65R21EVSqJFoYc0VzDtEOO3FOWvld+VEk6WW77sDs2n0lD+zJi+JsYrlyoxZLVFzl0O4LItypBNpdBrtspDk+YwRqdJ5wPKqa05R3boDLywx9gY2vL7VAJ2TXv63WTUZ31DM/LO9CYMZ1xY8cydeoyNp5w4EFCWctVIaXppHme5dKGRcyaNJHx4ycza94+jJ7GEdasZH1boNo4F9oe1ZgKreuXHYCSBJIfb+Hooi588dVX/MtXgxg3aTZz586t37ZsUGNO/y/pPn0zI87FkVjaUmOuDZCmkvIykOd2USRU1L47pEYRgczbmD09J6B/NYX7n5xQKZVCijnHV25Cbd19HqRJeG8RsZ9FCRTc5NmqmWycdwId97pmCVweilfn2D1fi5W6DjwreLfU8S9bHsXRYTy3CiQyo/zvfB9bUkR5UjgvLf0JSypR3umPUENV3AXsDm1m4qRr3AmtfL3+UTN1+cGkWG7nxkkttu/cht72TaxYrIuJZSCxZW83RhTF/qSdncieQ1eYeyXpPQmVcsds6nzOoD1yOur697mVWktVG/wW95+TAiQRZPmcw3jbShbOm1f/93Xx4qWs23yNS09zyWsqbNFWKJ/SBBJtzrFbU5N1hyxxSpG27WSqUaE3kY8PsVXnGHdtvHF67k9okQyJNI6CkEuc01uN+oL59TFUV1/MWk1TTJ/kkF6q+kbKcYSllEfZ4u9xjmeP7qG/9Q63PbPJbEuZwPvIcygIf4L1aV0MN05j9W5jtJ5Wk1DZUkIloTbXGxfjORxeM5Mho2czc84s5g7syuy5m5m4zxqHtGqqmg5U/p9C8v0uYrFjPCtmzWbkzLnMmTKCqb0HMWX9WXQeRJAsaztJlWrjXGh7VGMqtK5feAAU1JV44r1rBFPGz6LvQT9ic1+nG8pu+7oCHzx0BnPq0DEMfRTNFnlsS0oh8Rpn1HVZsugRjmUt/QGOJ9XmJDunbeWoVTQh72mzfpTqVGrddqK59TCTjAKIqvx73zQJZDzmttYWtm++yb1k2ZuGf0UURbbaqK0/xoJzkaT9lM/1j1DjhOPBXcwZcpprQaXvJCZ/dwovvM8aML+fEabueTQtN/RecpDG8spkKdvmzGTuhTB881V3KSLnpQXnl6zl5P0AwqUyil7d48Garuw+fpOzEbI3Vb9kpRSGmmGyeiS6xve4Ey9/98uAZiS5L3ihP5xVqzax9G4mKeXvPunCP5ZCoUAqldZvcnlb+4VUpUDR5j/De0iKSPW05IHhVk6euc695FoKGn+dFApkMtnHxbAyi9ynO7l+1oCdN/x4Gi15t9hFWyOXIi3OpSDWFtcbWqwd/gNf/fo/6DtjM9scqkiRvJtQyWtiiXuwDs3B3Vmw5TRmMVWUS6qRBhzl+trRdOm8mMVXwgiskjUdK82zxn7vVCb3G8P6ax74VEipKwohymwuS/oNpuukA+wOq2gzVRJVG+dC26MaU6F1/cIDIKW29Bk2SweycroO292VnffNXy4m8vhyXK2tuJEKhW3kD1dz8hJ/Eq9pMXfECqbqe+NeJHnnj/3rAg45pMVlkFPyE4esFL0i7fZi1hy6wEyTaMreN57+ZyOH2iLyU9JJTy+ipK5+qczXcv2IMpvP3H3mrLye3LaKFSjSqfY6xt65C+gz51b9Wj+te/35yENNObVsPj0mmnD9lewjnotKyHnI/fXqzB+ng6FnEamq7S2JL6+emrN28QXu+ha9njtQGkbs+UmcvmPDNqfKN89n7AP8LLQZvP4kpo7pb5f/boGiOp3sO2poLVvOsN1evMz98SsWBOE9agopToklNS2L3BrFh+f5vI+yTHpBAllpySTm17TJYh3vqCwm3/EKDjcuc8nRlnuOxmwf1Z6FI1ezw76SpBYSqspXD3i07QcGjFiO1q3XCyfX76MIJdpsFTP/3IP2y25hElj8eg6WXEbawzXsXTyYnvPPYRZW2rD0QC3SdDPMp/el+7fTaX80kro2klGpNs6Ftkc1pkLr+oUHoJCKhOucGreUHVo2uDb+Xcp7QXGCBzYhpQS+cCc3M4X46vq+kHrS2mySvU5xb782WhoaLF++nE2bNqF32BLX6GryGvcrjyTa4QAXt25lzapVrFq1iq1bt3P4ggtBucqZJM2l8uL2UbZra6Ndv+1C2+Q5XmmNY2FyCXO4xH7la/svcy+sjpraOgoDbnHR4PUxBjdf8DRe3pBQ5JAfcB8LzQXM6/Md//7vf+QPvaYwd5UmSxcf5KRVHNEV2cQ828+Z3bs5fNaSq8ElFL3TapdDrg+2FxqvSxvtnaZcDfXk4csXBAQkkFP75lu12jQXnu8djPrOE6y0yFF5r4+h7HEK4/5xozfn09bl+H1vUlQrQIfb43RGl4MHD3L4aTT+BW+/Lk20wV63HzP1TdG2/tiayXX1k6cDrU+xq+n8yu0qtqEFZDXtV01dQgA3Dxg222cPJvahZL411KyKojhnLhpqo719L2edMsiWQF2yGzanG447cZer/sVU1D9glZSnOmO/Zy3aE/vz5//+Lf/n64FMXqrJsiU67DnugVdBdbPkpoysoIec1Gt2rbtvc80zm9dPjpy8GEduHHl9H49ax5JSCfJMP5wvNex/6DImL3PJr2/tSKjK8cDp0EYMZgzl21//ln/5U2/GLFrHksVb0Nlrj1tGRcu9ZYp8CDnB/inLGDH5MtdTq9/+gkKpyhFPqzMs1niEXXhD86o4k9Tb6hhcuoPG1Qyk9S2KZGIuGqI/ZwuLHiTx6mNmr0srqfPYhb7aSnoveYhtYfMiGC2RIElxw2b/SrSWLmHJko/ZlrNk80Wue+Wi2vkmCELbUxHzFNcLq9Ddtvn1v6PG17COrKS0OJbQR6fYvW1b/c93XnXDOqaWOmUhksgXRPqF4JWeT6HiBbYaw9AasRLdpxUkvpNQySjzPMPpeV8ycI0JJ/zlzQpXVFPy/BT7R/yFPw7bwSarFGrqh8dk4XdgOGvnTmCscSi++c1GlkgTCdo/AfUhA/nXcTeo/dDCar8gqo1zoe1RjanQun7ZAaiLJ8dhN5sGzGf23IMY3rfkjqUVd3bO4c7VM2x3KiNKdYxRVQYJL+9wRGs6enNnM2nYUIYO6snIfl/Tf+kptG5mkS6rg/IkgqxPcnTDbNZPmMK4oUMY0u87Ro/sR791Vpx1q2kYmlZFaYQrEU9N2Ld3IxPnzWLy9FGM7DuQbwfoc9Qhu77xrCgLwOnWERYP60DfkQNZfS+C0LRisjxvcU5vBjMGtqfb3N0supZJRn2ZvgwyPczZO6g7/b74f3zbrh3t+4xgzJgxjBy5gR2mYQSXphB2fy7afX5Dx54zGG4ciV9TK1EO8kLyQ21wNt7IiqmDmThdOfdhKTPnL2f1nk0s232Oo3dCSaluXMSxjtrUx9yaN5CVm89zJKj2byiZrhwulk+OnwVPTxqwaN4yJs5VY9GiRcyZPZXFGjrcDckmstlEnmL/C9hof8fQr39FT837GPk1/w5VQl2sBRen9WOZ7k3OvfqYC5FQFe1A5KXd7NVcyaxF6ixaNJWpowbx7dfbMXasIqV+PkgWiY6mPDisz9xZS5g87/V1zp41lVVbDLn3qoDkKuWXs5UUprqQEWHL9oVDGdTzC6Yes8I2UUJhuBOPzqxm2Zge9B67kAG7vXDPVF5/OSXxj7i2ZCoT2v+K9l/+jq+7D2Pg4KGMHr2QVdtsccypoka53lB+HPFPTbhzcS8LV6ozftpEpozrzQ+dFjB3tztRysROnkWi7x32rJrE0G6/Z+weU+7GVlEU5cmzy5vQmNSPfiMm02WLPTYJyjhWU5Fux70Naszo9Hs6/OV/+arLIPoMGsrYsXNYuPouj5NKW57PJUmjyn4bG6auYdBqW54WS95NaGpc8L51kiVzb3AvsOj1lxTFaaTeUmfzSTPW3sykQlJARdhBrm40YMVyO54nhBMfaI+Dg0P95pZYQrbq76WSohSiL3Bu8UoGjjzJmfA8PjwdsIaqGBuurxvF9GFDGDLkY7YRDJllyAnHDHLaxhfDgiB8QGnoHR5t786MLr/lN7/7knZq+zkVJaOyOoGX+2ax4Puv6TJkJqP323AtWNLQU9RIBjUO2K4eicbIVe9JqIoo9zzGwQk9maB7H/OI5gkVlPvf5eLS39F17GbW301FVv9iJA4bB7J65hIW3UgmrqRZQiWTEWc+jz0rhvNvA89T++lleVuVauNcaHtUYyq0rl92APL8CT0znukDO/Dr3/2Vdh070L79t3zz+/bM1bjM6bCqpt6mJln3ebZ3LX277WS3eUx9OejirBCCn+iy1vQBW6+nUiMphYSLnF25igFDTnLiUSLpRcUUJjpgc2MLE4xsMLMtQC6vRVb1FNtt85jdbzLLrjrxJC2fysKXOB9axvivZqJ1PgSbiHBeWF/A1e8VrmZbObL2S8YfOcLWCw44eyYQlxpEiNlc5sxUY6iBJwHFymassvpdGene5lxT78ambYc59DKP5Oxc8vOLKamoo05RQ12lLc82TWRFv4X1JW8jGjvEFBXIkq9zQ2sMg9qNYu72x9wOyCI3N5UEz+McGtKJaWrH2OFY2ixpyqUg+CrH+i1k9wEn7CuUV/GR5MVIoi5gumw4A/tNZtEVF+4nKM+XS4zzaS4u6syy3WYcePGmb0Zel0S6kwH6XbuycudTrr+1yFEWOS8usb+nGnvPeOP2Yz0cCmUJfQ/cDBeg9u1wFu14wrXAbHJyvPC5fwj1Occ5ejcBiayQ0mBj9Ed3YsDwBay08MQ+NYecnFwiH+/jzMLuqBlacTFSTnVRBmF2Z/CPjMfD7hbXNnzFzN0aqJ15wgO7ECLSU0l8qoPB8gl0WHyTWxHKfh8FcmklFVmeuBhMZLv6QrbcT8E3NZeCggIKi6vrS+bKaqNJsN7Nxr4DmL75OCfCsiksTiL7xRHW9xzF5NkXuR5djNuzK/XrcHk423J3c3sW7FRj1ulH3HnoR0hKBinuhzi+djTt513gQkA5dfUl9KuoKgzF23g+enMmsu56BK5JuRQWFlJQVEW1VLVqX4PyeNJvLWapmiZjDX3xL30nnQLpC0LMD6Le3YBTDmnUr/taGkmy+Wx0T15l5/NyCrOe83TbQDQ1d3HCIZWUJ8cwnz+APu3b813XvozQecStIEkLa4pVQd4D7m1cyYzBuhx0yyJFdZe3KOpLr9dUlFBaUlJfkvijtrIqquvkb5dwb6ayspLs7GyxiU1sv7AtJyenvtx7c/LaSspivLDRncfEEaMYceAmN3OrKC0rJMnyNLf367HlWghPkyupeGcIex3y6mc8WTXiAwlVEmmPd7CpUw9GbbjP1ai3E6oyvxtcWPI7uo7bwrpbKa8Tqjonbszsxuz+S1l0LZno5glVTRWxZnMwWDacfxtsInqohFajGlOhdf2iA1AX64adbntGLFvJis2XuHf3LhYWZ7igZcLJba71czDemYVRakOkqR4DvljH8otxxDb+XJ5BfH4RCanKrolySL/MY+2N9Oy0m21Pc5sKJcgrkwhMK6CsTII8J4GQG5PYun0bS3Y8IbRx1n+GIzcXjaHTf85lq2UifoWF5KTGU1hdRq7dTvbOa89XGsc5+TSRHGVlJVkZSebjWLV+JYP3+5BS0vgHtpiioAucmDCRbYZPePzOOK1qqHDgseYW1o8/xpWYcvIaDlWUpBFlPp6VU4bTa/5lrgWWNfVKyNIssJz1VzQ2K0uRN3+/GJLsjrOly1aMLoYR+rrJ+lGkeZEEnx3CwnFjGLLuNvfTK95U5Mt4if3GL5i0cR/Lb70ZdKesspViexLtrqs4ZB5C4FtJUzgxlsZofr+dE5ZxxDR/qQWK0ixi7y1g67yxDJp1nis+BW+KMNTkEPMqnaTMaqTpPrw40ocxA8cycZcdjkW1b3phoh9zZ+UfGLzhOAa2RUjre6iiKKysozTyHrdXfUvXxRtZcSWE5Ozq+uMqXfQ4oT2eL9fcxfZV4yeuhTInnmxUQ0ttP+eiFO/0COW77OPe2ZX0mHeUOy9yXj9fFclkmGsx7n8HMGaJJXdzKklLiyO/sILieAeeaHViwKIVzDLxJSGjov7ZrvU7jrnOUP6kfoEbfuUNSYJyXpoXHntWsWHaVox8JHzU4M3SOJKvq7FksSYTjAIIaimhIoY0m72s+XIwq4754Kd8QLIdcd7clXW7LnA9rJjSwEusnLOUuSfMeRbsisXMrVxeb8rT5y9wMDvBjkn67D7wHM9SZR9Tc9VQ+IjHW1cyd9B2DJ2ySHrr9dbx8OFDhg4d2kLvltjEJrZ/5DZs2DCsra1bLKZRlRKBg/ESNDcsYZL+Xc4fPcQji7uYuiYTWvS+CrG1SKueYfPBhCqOBIstaH7bjZGa7yZUpb5XMFH/PV3GbmXN9SRq5HJkFTaYT+rM9F4NCVVp84SqjJhLs9BfMpx/G3JBJFRCq1GNqdC6fsEBqKbI5xLnpn3JNH0rrilb/w0qgnNJcc9puaKYIpWsF1e4sGYhC+euZurm05i5J5H2VmNeCtWviLpnhPFydcZPX8miPdd4GF7abE5JHZXRDzGf9Cu+HziCUbP0OHTAEMMjB7ljeoqTe06ic8QZu9hmw6ukoYSdXsPSYTMYbeTVVEFNnhfCy10/sNlgF8usmjV9a4OJs9Rh1rBN7LgSQ1hts4INSso5L9EXObR8D/M0nXApaRyiVUd5vC2WC75i2oxNrH9S0my+SBmFgbcxnTkTw9O22OQ1e89iJzzPaDJh0D7OOBc1m2/0YySUR93j6vQ/MHD8RtY8KGuY//OaNNUDR+32zNx6gDUWuc0OcyfQbA/jhx3HzLfi7eFd+dY4H9vA6CFGXPGvRGV6lYo6KpLteaD2V6ZN1WD1o2KanaUZCSW+Fzk99rf0mrqXnS7St54Raaw199Z9zegtp9GzLWn2j2o2eY6H0B02lJFbrLga3ZgGVJF0ZSFGW6cy8lQIYVkNd1KRhTz4BPoLNzB3ox22WXXN7occhTyF4EPTWDjgr/x+8HJ0dPZz6NhhLl04w+WDh9mz7z5nniSQ2HRMCUWepzg0dhBj1l3hRGBFw7XVkn1fi9NaQxhy0B2XxIZPoyiEWFOOr9Fi8pI7WMRXvpPQtUiZUF1byOIlmkw4EkhwiwlVGSUR13i2Zhib1bXZdsGMCyd2o7NSgzPWLni72PB4pTrqO59wLcSXQEdjZo86xrlLaa/Xw8kM48nMEVw8eoML8QqK3nqgq6HocX1CNW/QNgwdM5vdg5bUUZsVgPvlvRgZ7GLXro/Z9rDr2H1sQ4uU9TNb5OzszNKlS1uYfyU2sYntH7kpfy9dXV3rq022RJ50h6enptGv/1iGq2tz0DoE76KWKuM2+piEKpa8pwas+rIbnRZd4XxgpUoP1T0uqP+WH0ZpscEis2HI33NuTuvB8E4LGH0qlKTCN/OU69/RbAEGS4fxb31PiyF/QqtRjanQun7BAUgn3d4AnU49WGPohrXqZAtpBcXp2RRWttBLJU0l0XkvJ9RHMKBrT4as2s1B6zhSK1X+8FYGEWq5Gd1J/enVfSDTdl7m8osi8uvX0skix/sEOzp+x/d/+Y4O3bvTo2cPBk6fzgzDCzwILyCz+Xsp6yNl3eX6ymVMG27IMb+i18OlqKU09j73lo/AYM9FzOLr+xfqKTIc8Tm3mH5LzqD/JOedQgKKynSqnm1GV+8AE46GUT/irF4e2b7HONyvDxpad7ia2uygal9CzDaj3nsnB28nvdUDIA0x577+GHovOc8J7+qPH+5HBjkvjdDv1pNpK8w5Fd78yGoqQi5yZk4P1PSvcyTgTSO9Lv4OLmfX0nvlDS4Evh2lOp8T3Nw5he7Lr2IW1lLDvrk8cgOOYzSwN6vWXsMsSbXno1EiKba72PRdb6ZuesDV+OavlVLidYJDU3sw/8BjLkY2exJqn+N7ajPTO61kz8Nkwut/KAdJKH5G6uxdockBzypSG5ODingKHq1judZ+ph0PJ+GtzL4SedkTrNfPYcj/fMlXP/SgS/du9B0xlKEbdDF84E+Cckhg80MU/kSab2Nep0XoXovCr/5F5XC3BCIvaLJ/oRr6T3OJbjxPTTZVjtps1zFg2B5vgos/MpIVCWTdXc7y+esYbeCJd6lyAGELJMlUuRzg8vIJ9OvenZ79p7Bg9zOCozyIuG7Amr4bOXw3hqwcD0If7OUHbStuPC98/V7lRQQdG8HtmycweF5LzltfZFRCtiV3169gyuBdHH6eTVrzl99RTVXUAy4t7s3I7l3p2vVjtp50HaPHQbt0slr8cIIgtFWKkmDSvfXYuHo4X0/axibzSDKqf2pClU6mtT6a37XjdxOOcdCt+K1S51UB5lxa/Cd6TNmJlkX66x6qKg/uL+rF4E7j6bLTg4CcxnnKylMWE39pBjvVh/Pv42+JHiqh1ajGVGhdv9wAKAKJu6PP4h/moXM5Ar+3XswiM9Iak10XeByRQcZbrzWoy6c4LZDYR+vYvag7/RafxzSgUmVYgBRFdTa5sc8INpvJyhmD6bP2PvdjlZlLPMmPDFj8zRiWbrvN9dAIwiLCiY6LIzYrD+WX+2/9UZYXQdARDsxeSZ/xl7mZVtWQICWT5XqSncM3s+e4J/5SkMrl9d/Alftc4cbW7nTdZM5xt8bv05Ur3ys3qM2JJvBof/adOsla62JKauX1J1UQS47LQbR6TEVztzMOzbqLSnzOYbqiI93HHeCIWynKvg5FQwnYAkdj7ugOZOqRZ9yNVv6RV9R/E/f+f4waRZD5dD+rf5iGxkF3HJrX1i16TuQlDYZ1m8Q84+c4N+sqyX26HwvDSUw44oJNovLaXw+lUF5NzkM9rhuMY/xRN+ySml1LixcTT577Ybb0nspaPXtsy98kpUr190v5X1kA8Xd3od5pNlrng/BsnmfkPMXnxAr6dZ3J0stB+DTPyDLvYqe/im6dDdjvktGQCJcgT77DtZU7WL/kBk8KpCiXTVKeqy4tEI+9PZijcxC1qynU1F9zY9yKqE24jOkCNaaP1GXfkxBeRITzKuoVsanpZJVWvzu3p9CWl4dX0fu7beg+TCK5/oeVkPeYR9sMWD39PBbJ5RQ1nF+Wl0DQsUGs1tNj/LkoCuof6tc3T3n/Wr6Hyn/oM6h12cnmyasZuOQh1oU1TZUx36ZMJgsoSoklPj6ehIQEknIqSXx4HKuje5m935PnKXVQ/IzwR4b8oG+NhWfB6+eoupqQU6M4b7oPjYcFZDT/lkBRAuGnObFoFf3GmnAhuuBHFiNWNlwKyI4NITw4mOCP2kIIjkghvUjScg+2IAhtk0JB+hMTHO7sQvvcQeb1H8Hi+Qc54FxI3nt/2WUoJI71RSnWjlqN3rNqUqSq/+bVUuJ9mdNz/kjHsdvQsc2laVS+ctSDxxFOzOnMOO2bnPOX1Cdbiroiwk9NZ+XE/nTReMCj+KqmXi1FRQQBRhNYO3sKPY/EibLpQqtRjanQun65Aci8g93R1QybdppLwXXNGqFyyDDB6ZoWI1ddxDIw73WjTFIIcU/wS4rhsXLlvkblN3io2Z7f9N/OQT+oq0ujNt6Oe4HheDYfZxatx8G5nfnvsWd52DAqL9NhN2u+7s4GY1e8mu1K8Uuint7ltk8RsY0JREUZqddns2ndBvpsdiG0SPq6F6LCh6jb2xk/6Sx696JJLkvF7/FzYlKTePV0D/umfc0QA2vuKXuZ5FEke1vh8DyRmBIoS3DmwZq/omN0hBP+8WTEPOJJSCr+mQnk2uuxuF03Jq+7j319B081Ja/8sDk4hXmzf81vV5ly3SeE/CQvHnvmklZcSpLFRk6tGMR6i2hcIoNJTXyBZWQtqT86XiyBYs+jaHUcyKzN1txp6i0sodRSj229uvB/+uxk37Ns3hQ/LyX5lhZHVw1hnZU3Xq/cCA115UE85EoqiTFV55jGBNY/SML7lRfxib5YRcnJbXEgfAZlIafZ1WcQKzZf4X5TQleC5KUbrucf4ptVRKUikWQrHZZ82Z85e92wa0o0s8kyXcfqbr347+FHOOv19nCwYpe9XNoxmy/mmHMnpPR1klGXTq3XQbYsPcJM/ReEVucQ6uRFcOArkl495LL6n5m47hC7vJUFIAoojnyAq7M//hmVSHIfcXnmMNQn63E+tfm3pxmUeVzB7nkUrs3GW5Z5n+KO3kS+nHoakxeFrxNxeSGEnmD/hsOMXe+Id2k2kc99CfAMIyXRhbsa3zJjhTbrnatQUEFVgjXBvoF4REFZy1nS66GCkWc5MmMpYyeexzyh6iMWA25Q7MTlXdtZbWiNaWwdpcpfyGxrwqwP8MMeW+55NSRUUilhZ8Zw7boR2g6VZDWPZ20FNc466KqvpO/qJzwrbPgdEQRB+BB5OsUvLbC+eotrroH4JKfi9+gUD3XXs2TBfg4+SSfhvT1VXritH8umcRvY91JGcQs7STNcCDkxlL69+zHJ2AGXxtEsUn+8L65jfJ+JrLkVw/NmxScqPXdjuq4vfxm2jJ0vMsmr/yZLQln4GQxnD2f4ZG32xDVbCP0XTrVxLrQ9qjEVWtcvMwBV0SSZLmX31H58MXITWmcsuXrlCubm5pibH+Sx4QjmzxvNH7QdeJnY0A1RlUzpsw1YPzjP4JW7MDMzx8rKiisHNDmyezMLDzhjFlAMVf7I/Xaz99ghpmw+xPXr17l//z6Xdqtz4OAh5h32xCFR2WKXkB90lRtT+6C3agsrD16uP/+VK1cItbHgyvHLnHErILKhZS7NDsVly7do7tJn9IV4ahu/MSt0J+vOWmbOXM+47We46+2LrVM4oUlxxHgcxGzxD4xduhODmw54u9nx+K4FVx/HElmkrGHgwONVX6ChPh/tSzY8dXzARfdEPNNLyHp5kt0Tv2TizDVsMnfCMTySVyGxvHy0m627+vKHWZpsMjqPd0AgDyJlpBSVkGq1kZOzOrJQ5zZmj92wdrbnSrCExHcWI1JVTmnsbZ4sGcS6eZuZtNWs/j6Ynz3C7fWbWT13O7MvBuCT2fxrwmJS7q7h6OyOqOmbcPOJDTce23ArGrJryok1nYnRrO4sMnjELVsnHru5cT1MRpbquMd61ZQkPuLBwqHsXbqWJXtNML1yhSvXzxP4wJUHJ5/hkVFABRKyXp7AYk4/lszXYfbOhmfmqCFmy9eyQn0fs82DiCps1oxXlBJ3fg5GW6byzU4nfJIaXqtJotZ+Ewc019NtkSFnnVx46hHBc98wkhIe82h9Z+bPU2fZqcc4ODngZm3FhWsv8EqD8qpXeOyYyvHZs5mz3pDDl65w5cpNfJ9Z8+z8ec49COdp+pvPln5zbf08qe/17bCJbLiHsjx4ro/p9vV0mbULIxt7nr6IwMk9iKR0V55q92DZnJnMNbLC+pkjL+3ucdPqBU5hUNJiUqqkLAphz7MdS1kyQQt9lzySfmy0JXKkhYEkGq9mp8ENVlilvBlKV/iMRPtjDFC7ysn7ea97xgrjcVk7lOsXzDkZqaCgWS+hoiqZ9KuzWL9sOaMOBeGf/96vlQVBEOp7j2qyg8lxPMrVdZNYusOSLQ4VVCv/2JTb8XzfWMb/7lu6zDnMtgfRBOcoEx6ZcsFFChP8cX54jysXtNAb25lxXcYwQsuEQ5YPsfWLJzK1htrGv0+SNHKdjqI7owfzF69mscEFLpiZYX56I9sNDBipYY6pX26zpRikkPcSr3MrWTppMLPWGaB7Ttk+OcK+3UuZv94ItUN2uJa+p+LqL5Bq41xoe1RjKrSuX2YA8i1w3jKLOV9+wRdffcs37TvQsUMHOtRv7ejw17/QffIK5l6OIqKxl0maS6bXYS6tn0ifv35bv+/3339Ph+7Dmah7hVt+xRRLFVATTbT1FnZNG0SXb9rRsWNHfvjhBzoMmMbKc044xtVS2fCVkqI4lYRruzk7ewz92jWefxwL11tx2S6T/Ao5yrdUqsrywN1gPBu3G6LzrISKxoZqeSjZtzXQG9WbL78ZxuzTD3lcWEmlTIo0xQH3Q2OYMKgz37TvyahpRuiZhBKdKa1/X1lRHL7GI1kzsjv9Jx5lh2k40dmy+iEEsvIkPO+sYd28nnzdrjed1Q0565JOZnogtpcX0a/3d3QYvoVT9tlES+TI5HJKvO9wafEXDO0zi1mbHbDyLKJcWQjjR//iK1DUpCFx2cvV5WPp9Y2yfH0H2rcbw7hZhpg6RxFc3qyaXj05Be5GXFj0NQP7LGC+jjOPfUvqS4or/4nJdTbkvNpfGdBHnQU73LANLKe6jrcmAzenqMwn674x15dMZkhjLEYsQPuqN96JNVTLXv/DJa+IocR6GydmD6XLt8r9vqNDu0lMXXyMGz4pRNbI3u4VkaeRcG0t+9aosfhKJEGN1T3qspG/PMidlaPo+Nfu9Ft7hIuxOeTVSZGVxpF0Yzlb5vbkr+060a3PWtYdeIFbRDV1ys+nUC4UaYHjNjVmdWxf/+y2b9+L4eP3on3Cj9DUWiRNF1FA5iM9jFZNY/5Zb9wbx68qh8cFncFuywS6f92Fbot2cSoinYxaKbLqLHIeaLFvSR++adeJ7zqrs3qPC08DK5Aoh6K+5x7WUyif6ZXsXjiNCYd8cH97IuC7apNJfXkW4/FrMTjogkOp4k1vsSKceJvjaA3SY/vWp/gnJBLx8BrHB6tjqPsAmzwFFU3XIqcm4xlPNg5lhcZONjzJJ+vt6sjCz0KCpKyYvNzc+iUN8kqrWygl/QtUV0VtcV79NddvhRWUKtfPa/HSpUiryyhs2LegvIpK1SHYwt+Jsgx5MaWFRZTWSN9dx+4jKSSlVJcVUFim/Nut+mpzpZT4XubIhG/p9tWf+aq7BksvRpFaVUJ1wDGM1H7g6z/9kT990ZHRehacD1QOK6+FchdirY+hMXESnTt24Jsvv+CrL77i644daTdxAguPWXPNqZCKpqHfcqgsIOPxKW6snM6Idh3p0KE9HYbMZL6JC1fjJOQ3/mPfRIY0yQ/Pg6vZMqQv3dp3oMMPveispscOx5T6OaofObv1F0G1cS60PaoxFVrXLzMANclkh/rj5+5ev0aPcnv27BlPnjzBxcXl9c/8o4jIqqay8S+Wopaq4iTSQzx54eTE48eP6zd7ew9exuRR3PhluLyWspwoEnzccXn2rGk/R2dfQpSlwJv/zVROPi1MIyPQE1cHB2xsbHBycuVlSB5pKmOlpDX5FMYFER2dSHyh7M3igrIKarMiSPJ5/Tk847PfVORTrq+RFkDAi4bP+TyOiFQJyqlSjcrTgoj0csf9RTzhybX1DfZG1SVxxIQ0HOsZWX9e5R/58uxX+Hkofx5BXJ6i6Y+6rKyUjHB3PN1f4h1aSOZHj/dSkkNNGvkRXrg13Qt3PAKTyX1PR0NdcRYZYe68cPfFJ7yE3GY9YXXFGaSHufPc3RvfiBLyfrSXTJljZJEb5ouHo2P9+R2dvAnOrFCpcCeDiiSygp/Xx/f1M/OSl2EZFL0zeak+U6Mq4xXx4WG8yqqivLGFoKhFUZRIfrjn6/sbEEOq9E0yIc2PIi648fkMJDC2ktLmQ+1qSihLCMPfxaX+Guzt7XF3jyYspZb6midvdqQmJ4bE8GAi08vePKfKqJWnUhzlzUvlObwjSFImxg2vygvjSI543nB+H/yjyihosXdPVR11kWe4r7OYTkNPc8q3qFllyxbEWRFlrc/IlZc5/Ti9fh7ZG1VUJQXiobuZ82pLUJs5i3lTdFil8YQ7tlkU1CfPDaTxFDsYsnKIGmp77bEtkr/1nAs/B+UNfUX03aNsHDOGsaMnoHbKAcvIZhPmf5HkSAIe47FPE7XRoxg1ahSjtl3joFPGe56RTHK8rrJ/7BjGjx7N2nO23ItTUPXL/pD/HKTBpD4zxuSAEVd9U4mXvm+Y3YdJQq7z/PpOdps5YB0tbzZnSVUdtfnxvPLwaPhbF0RQQjHldRKk+TFEB77+G+zm5sbzsGRiC5XXI4e6LErTI/F1da2vGtjYjlD+f1s3V168SiMh++1/T+uV5VIU6c9LZ6fX/8Y4+xKYWVU/f7VF8jqkGbHEv/DA4elTbG0dcPWLI6FK8cnJ5j+KauNcaHtUYyq0LhEAQfjcVEeT9MAY/bmLWXnaletRqr2LzaR58ur5XYyco4nOaGEveR21UY54XzyAvr4++vrmXHXJIfWtLC2HAo+znJs9nYWaDzF+mfd2Cf1/gLqqOCK9L3L5rBFGRkYcPnwV29A8Mpo1nGoSX+Jvd4nLNiGE5TUmJRIoCiDwyU2OGb0+1sjInEfP00n7qAIvqmqoyPLB99oF7BwjCSl6u+DK30Z5ZDIpTsc4MW0gvf7YjcmHnmMe/wtOqKoyyfa7xfldepw9YIr5we3sXTqQcXssmXEjg6oWv+LPpzD8FrfVhjL8yw5M133I2RiFSrLfklKKohxxv2zGE89MEj7qCwihXm0RFZF3cb56DHerBzx6Yo/dq1zSZZ/yzENt3FNC7Y2wsbvNGUtXrnjFkNxQXEj4x1BtnAttj2pMhdYlAiAIn6PCYKJvb2TV2j3suRWMV3QsKUXVVP6cLZq6Cqoyw0iMuoOz2WnWzT7MWac0ElT3+weoKX6Ou8lgxnb5N/7tv37Ln3pswNA+haj6bEZZkbKE6MtLWDeyHR3nm3EnXt6Q6FRBpi12BrMY+Nv/4P/+6//wRedNbLseibIS/9+eDKVRGXSSw30HsmmfG9fT6meA/EShxN7Zw6oflmJ4Kwbfj2n0KkopSckiNTafwlqVYbF/N1KkMVY82TSEUYuOse5+DqUVSRS4GXLxnh1nfaqQtJhQKaWS436EnQPU2GLghE2J4q218d6lHEMdRprlNrR7jGfzlSScij/ivgj185jq4p1w1pnJ3k1nOfc4o9lcop+igIqYa5jumc+a3SYcci8krU4kVf8oqo1zoe1RjanQukQABOGzJENelkqk2z0sD+pyaOc+TH3TSPjbM4L3K4gi9d5GzhjvRM/8JZYv8siV/DIaTHJJGuVOm9GZ8jV/7D2dWafC8M6RNKxvVgXp93m4aRjtfvUNf5luxoO0xuGeCpCWUfhsJyfmdOHLb6cy/7gXrvnV9Usy/O2fLZqkxwas6zaFTUdf4ljRbI7aJwsi+s4RlvfQ58TDRJJ+9KKUa+hZY7nNGN31T3Aurn3POm8/tyzS7PTZP7Afi/a4YJHV8GzUFVNRWUlxzetlAFqWSI7HCXSGbEfvkBcB8o9IROs88T2hhVq3xehZxhEk5l19HHkwr+4cYevwHRy+FkhY2c/4O1yXRdHLg5zS3MSQOde5olxK4af/AgifQLVxLrQ9qjEVWpcIgCB8ziQ55Ae74unoil96KYU/W0tJWVc4j5IIW7w8X/I8seofPszvLYpyiDPnwpKJjBy3k0P+deQ2vCQvyyft5lrubB3Cn34Yyp9nXsIiuvKtRKfSWZf7e8YyaN0dbkfXvbMo98dTQEEcYc6+hMYVvplf+VMk38X1sh59513m1stian80pkmU2uuzabo2i/dEfFyP1s9B4oWPuRYjvpvJZot0Ev+Wk+a5E3xdkxkrzmN4O+UjhvspVVOTHIm/UyARGeVvLZ0gvE8FJX6HsdBbxtjF97j3qvYjnqe/UXUoUWY6qI+czYb7r/DK+xkTNuGjqTbOhbZHNaZC6xIBEAThM1QG6Xe5sXw5C8cf4nRgKa+XBiulKMkPc51tXNKegNqSGbRbaMatiIo3CVXFKzyPaXLm0EH2umWT2nyh6yZlJPo+xcLComGzwsI1luTGfesqKAh9zksb6/riKh4plZS9t4ulnNI4D+yb3useNgFxBOQWEBGRSEFp9Vtz4GrcD2Fxeik9jNyw83tFptcTrOqPe4pXXBEFTa3VYkoTvPG9uJt9c4bwhz904btpO9A/cwmT849xCcgi+2OHMVZkE+pk3+zzWvDEN478FobsySvzyPC9if2lFcwd1Z1f/a4vYzYcZeeF21g+iSS69ANz+hrURTzC3mgEY4/bcOxZNIURT3hqfpFr1yxweJFGZuGb65aV55HqaYOjrS2OnlEE58laaLDLoTgN3yePm32G+ziGpKqsWySjOj8ad2tLLCwe4hBWSKlyodiiWEKdLLFUHvfQHc+UmvpiQIqyGPwdGn5u6YFPQill75RVraQy1QtHy8bzWvLIOwj/nGTCIuLIL6l+d5HqmnTivBret35zwC05jsDkeBLi0imsab52I1QXBBD/whKrmzcwNTXl2rVrWFg8w/fV60VxVa/oNSnUhBJxZjWaE2aw+EY0gaUfkexIskj2fci9ps9jj3N8BoFpWcRGp1JQWaPyTEmp9jyM6Yq+DNxwk0shtU3Vc4XWo9o4F9oe1ZgKrUsEQBCEz1AZpN3m2rKlzFcmVMEV9QmVotKPKLfz6Jx249aRbZzZMJ4fFphiFlJW3whUVCdS9lCPc5sPoXcmgIhy1SxITl1xCmn+dzmweTZ9e/9Ax07taPd1V/4yfC+mXoVUKN+oOpfo6yvZOea3fNNjHCOM/HiepdqwlaOQFFDgbcGtvbMY0ftbvu3YkY4dxzJ5wx7WXriJ9gErPOMKmvWQ1ZFmpcvZ9UNZeMqeq/Z3eXBgGlPafclXv+3BoqOOPM6VNTRYk0h7dpLt33/L97/5f/zvr37Dr7/sQLsOnejYUR0dkyACFT82lE65TlAgoZZnWDdjNj906sx3331Hh85dmbh8J1ZhWWRJ3i7lX5cbie+Jyawf81t+/9v/5F//54/85a8d6NBxHDNWWPIorUw5CPEDZBS+vMq11R1YfPA2J23dcDZdwere39PuL+2ZtNiUMw5VFDWMW6zN8MN9fx/UevwP34zdyNK7mSQ3lQZVZozVVKa8xOeaMYvGTuK7jp3qP0On7n2Ys+koNnEF9eupKWRSJOXRJPjeQHNyV77r8AVj997HJrqctBe3OKc1hCHt/sKfe09k3EkvPBLSSPS5wYE1Y+jZ4c/85vfTmH/Un5AqWUNCIUdRW0RxwH3uGy5gbM92DfEdzbjVa9E4b8TGfddxf1VAWdP9q6O2KJboB4fZOa8H3Tp1oGPHXnTtNwu1w7qsOXKS4+YeRBRVvE5K5TXU5MfhfGMTx5YMZ5zyc3XsSIevf883vWcw84A3nrny95T3LoOMO9xavYwZo3ZzxKeA9A8mOlKkpcnE2Rizf9UAenVRXls3fugxh/mGJ9E4cYNDJo4EZRW/mzDH3MR61yR6TD/KXqf8Zp9XaC2qjXOh7VGNqdC6RAAEQfgMlUHqLa4uW8K88Qc5HVJFnvKn3vfxuqSHqU8WL5+ex0RzDO1nnuOcTyEKaiiItOD6uJkcNXTgVrxEWfOvGWXqEUrgqU0YzJ7HirN3OPcyAD//+1gYrmBS18XsvRWPv/IgmYTyVCucd45lQfcxzD0Tw/NC1YQqlWyPExyYMYzJi1ahefMpz0KC8fd/zJVt81k5YSmTDZxwTJE0NIiVR0cTcGIVm779HSvXbkPfxgOHuAj8H53AeEYXlumcRc+tnIr6Lo9KqnIS8Lm5j8PTv0V9hRZa5i48c3DC1TWAiMQSlCsrvL9tWw15TjjsX8TicZOYsdeMM+4BBIeE8OLxCU4uH4Xu6XucDaihuvkCz5JyimJ9cNo3hRULBvDHBYcwuf4UD4+X+ARlkFUtfU8Dv1EWybb72dnpjyybuY3zdtE8dvPGx/4xtzZNQmfbRgYf8iUyq67+2uXVuWQFHcRsdhdmj93I2kdlJDYtfl1KbeJ9LLdOZ97EOcw7ehdzr6D6z+ByazfHlo9j20Un7sQrqCrOIcrpPHHx0Ty8fo5jK/7KggPa7Hjgz3OPcMJjg/C9u53tK0bTXu0Aa/bcxdohjIAALzwvrmVq15mM2eDMk5K6hh6nDHK8TnFk9jCmDF+CxuEn2AYr42vLjZ3zWDVuJpN32mEdK2kYZieFCh98L65nzZARTFm4n8NWPgQGBuLx9CQHZw9h7sJ9aN6MJ7ny9WenMoKUB3tQH7sCLW0rblo74+zkgP2llew9f4r2253wTKxuef0/WT4EHWP/zJUMmGTGteTyDwytlIMkmPCb29k4fhhTNuqz19YLv+AgXrpe5JjaRBbM3cVS03CiimrfTdJz7fE5upTevXTQeZhOivwjesKEn5Vq41xoe1RjKrQuEQBBED5DZZB8nSvLJjBygCZ7nQspKggn4q4Ju7ef4XliMXkhJpzXmky7Waac8atAQQz5zw+wZPoBjlulkarS4pOXZZPspsnJneuYueAkj5MbGs51Ibhun0Gf/28sG82i8KovhqA82B8vQ2029dfCyDmDeJWv7WuSrXhuPI7unUaz8JQHLk3DrRII2DWSlV/1ZppxOB5NiVgdSJzxOjiXif/zJRNWHOGgeyrRyu6QSi98dnRGa9NOtjlVv1l4HAmVsXe4PncUegcfYfU3FByQV2SSbq3O9umD6DJBD+OQXDIbDy4MwFnrK2at28GC6+mUv5151iuwWsORrdMZcDSE8L/hvBBByv1NLPntX5ijdhIzn0KiSxrugdsujLfP4huNezyJqWx4zypkhbbcmb+YrXNPcCVRTmHDmDNZUTSR1yaxbMQg+i86zoXYojdrDiVYc2/VnxilaYTu02Kqy4tJC3EhLb+K3ChH7LZ8y5CV6sw66YpvRAGlys6usGOYqnfgj+0XoW7kjE1wEWXSKog8y5Z56xmz1QXHMll9wliX6o7nqbH0/X4Es3SeYR/fWISjitQri9Af2J1ph3x4mtlYrKOWfA9tjq8YQvsea9l9L504Ze+f8rVqB6znfcuK+TpsdqyhrjEjrQmg1nUfM79byfj1PnjJGu9zHAkZUZh6JFNd805/0WvVGZTZbWLjvDUMXGePfX7VBxPdIt+9XN4wjPbdF6Fjl0hkYxl0hR2WE/7K/P6rWGtdQU4LzwKSAKKvajOj81LWnvTBW/JjPaPCz021cS60PaoxFVqXCIAgCJ+hKsi9j6XGIIZ2m8bGu3FE253H4+ZFNK8kklpQB6HHuLhtLp0WmHE5MIXMwLPcO7aODY9eYZ+u2nMjoybZg4cr/8KoOfOYrnWNJ3YOPHtmS8j9S5xau4HZ80w455FJVkOjmRxLrm/azbyZd3icUaEyzK2SNKst7J3Ujt4rbnArVt5wPmUm4MfL3cvQ7KOOnnUmrxp7W+Sl1MVe5MrSEQzouZjZ5lGE1i/eLaEs+gGWS8diYHiFa4kKKhovXh5BwkN9lg5ewbazQXhWv1kI/MNkVKc+58nadowes5BZ5xNIatYul2eH8mJXJ9S0dzLfPEkloZJBVRCBxxahNWcRK28nEt6YEP0oOeQ/4dnBOYztOxXte6kElr05tspZB2PteXRaZcmD6PKGBCWDmqDz6E/TZ73uc7xl8oYeIikVEQ+5rvZH+o/TZI1lbrP5ZVAX54D15r8yfutRNt7LadaLU0GZ7zmOTelNvxVnOfyiqOG1OjIerGX32K/pPOgwZwNKX8+/qsmlwm49mtv2MuVwELH1lS5ryLU5wYGJX9J78UUuRdTxZmpVNkm39Dk0dw66D+MJrE82FchKYnmxsx/qk6YzxTi82XwmKVVpz7BeO4k9Bue4GCOntCkbyaYg4AqnF6mxXF2f1acfYBOUQrbkI+52eRIZd5ewepkGo/d64V1Y854YKZBXpRJwcDSrJ41m1B5vPHIa1z6rQpJ1j+vTx6E55zCnw+UtzquDKBIfGbCu52w27HfBoeJjn0Ph56LaOBfaHtWYCq1LBEAQhM9QHcjccd42GbWeo1hn6si5LXpcP27G9SQZpfV5y2Eu7ljID/NOY/rYnLsXddHYdhrT6Gyy36nUUEhRuBmHe31Dh9/+id//tRM/dP6eTuPGMn7zHs48DuB5SiHFkob5M9IiFEHHOLpzN8O2uOCcVdWssaossxeKv9FCNHuNZplpDP5Nc36UiZgVd9dtZ/nEC9yMK3pTmbE6i9zHa9g6djK9plzCPKmyIUmLJdnuKNpDtrDnlB9BzWf8F7gRbL6OofON0X2U/jdUeSwmP+Q8x4d8z/gZB9jhVtWs+puCqoTH3F/THfXNRmg/K6XyrdZxMfLEm5gvUUdt+mFOh1S2cD/fQyFD4rmfc9sW0nvZFa5FlPMmN5CRZL4Qw+3z6KTriG9Kbf09VVTFUGi3neWrD6N25hWJTRO6csh2P8Su7h0ZrW7CUX9Zs6RJRmXYNczVOzNH9zIHPWuavRZK1DVdlnafh5ZJAM8rG5PdDBLMlqI7cxRTD3nyPOd1wiPPCsdzf0+W6u5h1eVkyuo/azzh51aj1WMoS06F4tGUHNVAoS1P9PRZMeEk5mEFDUleJWXJt7kytScr5u5jv7e0WaxSyHQxZteozegbvcSnTqV3pzaHFI+jmGmOpefX39N5xlaOOWeQWvkjSawyobrzOqEao0yoCt6XUFVTnWeN5cL+rJy8hZ0utWQ0XUAmhT6n2Td2E9rbHXCvUaaSLYki8bEBmj1n1SdUz8pFQtXaVBvnQtujGlOhdYkACILwGVK2+Lzx0J/L2q+/Zd32fcxfeZ5Tl7zrG/fKV+XeR7iydz7tJm9lxcI5HDp8jrU3EolsnJ/ylhgKPU+yofNEps3dhd5lM0wvX8LGxgYX3yhSVcq0ySsqSLo2F+Pj+5hllkJMWfNXa6DMDid9DdT6b8TQKe/NWlK15aRaLmHLjAVM2eSKe0ndm4ZncTERZ4azZtUaBu/0JqGq4aBcB54fV2PM6APo38t5qxemKvg2D/cMo4vmRY66FH9g3SdV8RR5GrO55xSW6zzhXm6zIXt1cZS4HWD54JEs3G/HrXTZ26W25ZnIfQ6jM3opExZZYpX/t5Wdz7yzikuHVjDxZBjeTSW26yDfnYcafVg6fwWzb6QTV58VQ21qEP7HhrLe6DKbbCuaJWBhZNgdYOX309Eweo5D8wp21aFkPN7JnP5jWH7ehycFzV4rtcPjgCaDOmzlsGs+KfUvKJ+YEEIOb2bnlE3sccknsb5XroriyJtcmvQNy7XOcMRP8joxk7rhd0wL9V4a7LJOI0bRkNzIpGTZrGHn7NmMWmaLTUbjs5ZNYYAxh0ZOZ826u1hkv7keeZoTDrsGMWbINrbdzCKzpeS0LomsoKe4Xd2O4dphzFh/nIP2WWR9aFxdmTKhWswqZUK170M9VPmURZlwZspMVqpfrB9S2bRAeJ4/nkajmTZyA1vMU4iXv2+dtWgSH+9+nVAZOouE6h9AtXEutD2qMRValwiAIAifIWVz7QXuBguZ8W//yph+U1l0LoybwaVNjcY6n5Pc3jmYP/QYwO+/m8n6kx48S1c0a5A3F0fBcyM2dB7D+iMeeDXOH1FSJJEX8pyXsWVkVL3+UW1uGM/1+2FoZICBezpZWYFEZ+UTXL8QlXI44m0ebVnAiO6r2eNR+ToJqi0kzcuOmzrtGDh7Ev33eRNZ2NjslFGd4YXdus4sXKPNdPOkph4VSeBVrm3sSZdVJhxzj6UkPxr/qCJyy6vJsdvL4fnf0k//IZbKOTxkUpzoS1RCEalFjR+gJfEUex1Dq8toFmx90mzulQyZrwkXpvXhv75byepr0SSqrmtVlkDm7QUsX7iJ0ToeBNf8WBGKZupSCdo7EW31eYw4G0d+Y6Ja5k/w1fnMHzeaUctMeRKroKih5V4eYcPdNd+y/cItLgZnUJLph29yCam1MaQ/NmDJN6NZcvAFztLGz1BFlcMBDozvz79334KeTSoZzT5AVdBZLHYu4JsxxznzIq9+7pSytL1yCKeZ+gYWjz/D9cSahnXXUin2O45ezxGs1b2PRUI+2d4epAeacFVLnZGdFrPTvuj1MFBZERk+DtzW7syAGWMZcvgFYRnRJCdmEJn4igJ3Q7b2GcbUJdd4WP66V0yWm0LgdW205/0nf56/j4NO8ZSUxBMcmUteTDgFubG8zGne+xlKyqnudOsxjlkmyUQ1feYWVKVRbLOBDQvWMHijA4751e+Z15RJic9B9o0dy4TZp7meJX+dNBVmEPnoKAdX/ZqvZ2qy+nY6xS1Wv1DGNYiYm9uZ21mddcc9eVkj5lC1NtXGudD2qMZUaF0iAIIgfIaUTXgfwk8uY9T//Ce/+WoBmx8lEdmsFSf1Pc6DDT/wx6+68Mcl1zB0y/1AD04xeUGmXBjdly3r97PfPpjwqCiiXgWR9PQCdw/t55BdJv4NqxtLcl7iot2bTasWoXvnGY72Z7HwjeVufEPyUeWCo/5kJncZgtqJ59jFZRIX4YvtpcMYrv8jgzauYeL5aPKberaKKIk8z7kRfZk1+wjaziUNQ8ugwtuMq+vb0W2lIbpmtwnxfYaJfSavckvJtdfFeFYnxmw04YRLBFF+97C/cRrLZ8n4JH9oSFgJBRGXuTq5L+pzDVhxOYCAsHDCA+xw37WeFf2n0G3TfSzCy1XeQ05tsif2mzsya/Me1MyTqHpPTYR3VSErs8F+xzzGdpvFgPXXsXYPJTzchwCLQ+ivG8NAHRN0Hqe/VbWuPOI2t5e2Z7XObo4+eoKd9RlOe6TjXVlJhvtBTg3rxtzFx9hyN4ww5Wdwv4fd+sXMH7KArjq2uCQ175mpI+32Wk5um8BXWvewi6x+/UzUpVPjsI1t0zUZtsKOR0V1DUPbYsl1OcymnlOZo3mEc7YuPD15Gm/rCxzfMIlpPfuy8Igzj6PTSIwOxP32Rc7t60XXJRPps90cd1cLbNwjefQ8hsyXx9k96mtGT9qAvl0CAckxvHrpweOzGmzY+h2/XbSdbSY3CfZzxMwunjiHS3hb72XWgctYKKs2vnrFq5dWPDacxsJ1R9C4HkdS3QcSKmke+B9m78xV9J92jZup5W/m3r2llLoYc07P6sHooUvZcj8O7+R4Irw9sDiykk2af6bjpiPo2OQ0myemIt8Rv+Mr6Nddm62WSSSIKn+tTrVxLrQ9qjEVWpcIgCAInyFlcy2elGurUBvUjV/NOodlaPlb8zukfse4sXwI7TusYe2DRELeXzO6PlGQ5kUSbLSGY1NH0rNjV7p160a3bhPR2naXY+b+hKRJKGlIHpQFBvwOD0Jj6Df0nbgPnTMv8IipIKuhB0tZhTDloTEHJ3blu8596TV5Hdtvu+Lo8YQr67qw2WA/Bs+rqW4aSphEie9x9AZMZ/mGe9zOkCmLmr8+V/Qj7HS+p0/vTnw9bB2nrONxy6imXCKlLuI2jzd3ZWCfbnTuPw71VWfQP/Uc35gqSppKi7dEhrQimnyL9ZxbMIpOX3ehq/LzdhnF9CnbMDB5yr24QvLfqehWSnHoJU4O/ZbxakfQdixruWR3SxR5SFKvcdnsAkvmbWLfwolMGdSLbt36M2SMBhP3mGKaUESsyiJGNQnPeKjxJ6b06cPoxZcxvOJDYFo1xTKoK/Aj2UQNw8lDad9OGa/u9Oo6kdkzd2J0x5NHySWUv5XwZZNotoRdi5Vrh3nikd7Q8K+IJ/PmIpYvWM+oPX54lzUuHpxDQfAZDHt2p91fOjB9sxkm7gmk5WaR8PwsRmu60KV3b3qOWc7GS+54R2US9dKIFYs68T/thzJny1UcUxSkFVZRWxyN24V5rJzRlb92G8WQtYe54JxKQrwPj8zm0KVPB77st5zd10IJKFJQl/sYp2OzGNbhezp834W+ffvSrVtvuk9byd57kXimVlH9wXuvXFrgOubLljFl9AFOBhTVL/T8LgWUp+JzdDVaw7rwZZfh9F++h1OOwTjeO86JJd+z+sQjzKPq3h/ruDvY7ZlG90mH6ytulrxvP+HvRrVxLrQ9qjEVWpcIgCAIn6lKyqMccHpsienLVApfj91qIs/2I9TuAVev+hOaL33P3I9mpFJqEvwJvXuJUwcOsHPnTg4dOo6JRQS+TZOg3sgPfsgzc2NOnLbHyqOIEuVEImk2knhnnF+m4OoYyCtbc04bG3Pp0iVuvnxOhOM5to+cht7xZ9gWKpqSJmVRjNK4FzjftMXZK5U06et6gPXKU0h7eZ3b54wxPvkQx4gaZVP5tYpsMn1ucl35mrExxufdsPMvp0xlzlfLZFAcSOJTM84ebPy8JzlxzZ3gPElDJT1V6dSEXEC3ywjma9zBLFn27iKv76MoR1oUjk9MIu7unsTbXOT8IX327duHsfFDbgXnkP/ubUZWVkayxyUszp7ijLkvzqE1SJtuTg3keBJxzwTj/Ybo6+tjZHSe81Y+xFS0NOyshKLwp7g/uodNcC7pjZO/JEUUR9hg+9SFBwG55DeNC62luiiMgBumnDQ25qKVD/6VDfOD6tKI8bnC+ePKe3+KC8+iSC5XICtPxNvmHMePn+DcvQgSK9/01pRne/LiyWmOK485e4+nr0qpltVREO/EnQvHMTa25IFPSX3pd1ltHJEOV7h57Ch7du1ix44dGBgc5Oh1FwKzP2aYZR1U+RN8fA0a4xew1iqB8AqVnqPySMqTgrB4Fkegiwc+Fuc4feoUV648wCnMHa8r+1gxaC7H7JMIqHpfr5OCOj9jzDX60U/jCiaBkoaFp4XWpNo4F9oe1ZgKrUsEQBAE4RdBjjTxIZEmy9HaY8d5p4bhZI3SLLDeNI7Bww+z9lrSO+tgtQ0e+J2ez4Quauy8Hk+Qstii6i7CL0gJ+fbbMFkzjX4a1tyLa14JsZoKnyO8vLCLyZvs8UpqXEdLqYoK7/2cXzaPLmPNOOGV/2Z9L1WyWOJv66AxdjLLrwXimvW+xEv4e1JtnAttj2pMhdYlAiAIgvCLIKE80AQrjYEsWnGcoxYxlJWVU15eTnm+K97nljO/10AGr3/ItYiG8uttggKFXIKkLI0iT12OLP6eblMPccqzjA+OohR+ARSQ+QCXA6sZ2F8fnYexxNU2Jjw5ZDzU4szSiUxYfpFHnpkNz2su5bG3ubNxPGP7z2HSYX88sxpLy6uQFVITcIbL6zcyaNJZzgRnkS8y7H8I1ca50PaoxlRoXSIAgiAIvwgy6go8ibHU4Nj68QzrN4gRI0bUbyOHDmXdysMs0LzJff88sltezOcXqoaaQldeHljPxgmDGbdiC7r34ogoVd1P+EWS5VPse5dLGtNYqHuVPU4FDb1NNVTF3yX4yjI0Zw1m2MBhDc/rUGaNn4PG6vNsPOjIi+RKqlocX1iJNMGS2yvms079JDoP04mtbpx7JrQ21ca50PaoxlRoXSIAgiAIvxiVKAo8CHy0m53rVrBgwYL6bc2azegf98AupLYN9Uw1qkFS7M0LYwM2am1hr1UgIU3rRwltgiSTYt/zGB88woHzT7B2fU5gWhnFijzqMp5gc34D65ctqX9W1dXVWbduL8duxhKkLNrRQqClWUEkB97B4eF59m815ezNYF7JxDPxj6TaOBfaHtWYCq1LBEAQBEEQhB9VFe+M+2ENdixbw1GPVEI/MQmqct+L/bF5zDO4gYlfXf1i2sI/lmrjXGh7VGMqtC4RAEEQBEEQhM+YauNcaHtUYyq0LhEAQRAEQRCEz5hq41xoe1RjKrQuEQBBEARBEITPmGrjXGh7VGMqtC4RAEEQBEEQhM+YauNcaHtUYyq0LhEAQRAEQRCEz5hq41xoe1RjKrQuEQBBEARBEITPmGrjXGh7VGMqtC4RAEEQBEEQhM+YauNcaHtUYyq0LhEAQRAEQRCEz5hq41xoe1RjKrQuEQBBEARBEITPmGrjXGh7VGMqtC4RAEEQBEEQhM+YauNcaHtUYyq0LhEAQRAEQRCEz5hq41xoe1RjKrQuEQBBEARBEITPmGrjXGh7VGMqtC4RAEEQBEEQhM+YauNcaHtUYyq0LhEAQRAEQRCEz5hq41xoe1RjKrQuEQBBEARBEITPmGrjXGh7VGMqtC4RAEEQBEEQhM+YauNcaHtUYyq0LhEAQRAEQRCEz5hq41xoe1RjKrQuEQBBEARBEARBEIRPJBIqQRAEQRAEQRCETyQSKkEQBEEQBEEQhE8kEipBEARBEARBEIRPJBIqQRAEQRAEQRCETyQSKkEQBEEQBEEQhE8kEipBEARBEARBEIRPJBIqQRAEQRAEQRCETyQSKkEQBEEQBEEQhE8kEipBEARBEARBEIRPJBIqQRAEQRAEQRCETyQSKkEQBEEQBEEQhE8kEipBEARBEARBEIRPJBIqQRAEQRAEQRCETyQSKkEQBEEQBEEQhE8kEipBEARBEARBEIRPJBIqQRAEQRAEQRCETyQSKkEQBEEQBEEQhE8kEipBEARBEARBEIRPJBIqQRAEQRAEQRCETyQSKkEQBEEQBEEQhE8kEipBEARBEARBEIRPJBIqQRAEQRAEQRCETyQSKkEQBEEQBEEQhE8kEipBEARBEARBEIRPJBIqQRAEQRAEQRCETyQSKkEQBEEQBEEQhE8kEipBEARBEARBEIRPJBIqQRAEQRAEQRCETyQSKkEQBEEQBEEQhE8kEipBEARBEARBEIRPJBIqQRAEQRAEQRCETyQSKkEQBEEQBEEQhE8kEipBEARBEARBEIRPJBIqQRAEQRAEQRCETyQSKkEQBEEQBEEQhE8kEipBEARBEARBEIRPJBIqQRAEQRAEQRCETyQSKkEQBEEQBEEQhE8kEipBEARBEARBEIRPJBIqQRAEQRAEQRCETyQSKkEQBEEQ/rHkFVSVFFBaUU2VDBSqr/8ECkk5NWUFFJW9fm9BEISfm0ioBEEQBEH4BypGEnuTJ8d0MbV0wbVQQaXqLj+B9JUl3te3s8fUmgeRMvLrVPcQBEH4aURCJQiCIPwDlFGR+hI7o8MYGRlhauOBewpUtmoPgrIrJJGEZxacNzLiyPGT3PXLJLFCdT/h7ybfk3g3E+xMTXB7YscD50ACSxVUq+73E8iSXImwN8LmyXXO33flgks4cTLFz9oLJgjC500kVIIgCB+ikCErTiYzLpiAgID67eXLl7i6uuLm5oaPj8/rnweGERCbQ07pP/vX37XUFqeRERFOUmY5xbWqr3+sAooibnBqeGe6/s+v6K92AANPBTlS1f1+LlLqyjLIiggjOaOUwvrrloI8gIDzWiz89s9887vvmGsSgn3BzzvkTGiJAmSFpFvs5MZGTbbud+V5ai3yt/apQVGZTELw69+7gPB0kvPfk3HLy6kqzCA8NpusMmkL8SulLtmS64fUWLPjGLuf5ZJY8/bZBEEQPpVIqARBED5ELqHG9xx39MbTqeO3fPNtO9q378h3331Hx47K/3akY4f2tOs9nG833MHMv6SFxlxboUAulSGXf+jb+xQSH+/BcOQktpsE4Vak+vrHkiKrjiHFRh/dEZNZsMKcCzFyCt9/4p8oi3QXIw6PGsf2E57Y5ys/rfJkVVRl2eC0fxXTOy9A1yIR379bUvf3okAhkyOTyj8Qt78nZXL0+vzyj76AQiRxdzBbuo3Ny29imVhKkeqx5X5kuO5kx7xO9Pq+I4Nn78bgchgFZS18zpxn+F7fw5QtdzEPLKH2nR2Uv8uFlAaewHyLFoOmXsQkNO/dcwqCIHwCkVAJgiB8iEKKNP0lSVYbmN/3z/xH33mMW7Gf06dPc+rUKU6fPsKN/eqoj+jByIMvuPKq5t3GXpuQTkGQPTd3WmHnmUWW6sv1FFD7nLwHu9nUexH7npTg9lPGZsnTkQYdZ8sSXVYZ+eJdoeDv1r8nC6Dc6TDbes1lj0U2T8ub9UJVOuJ52YCx009yNbiCT84R/yHKkWU/x+G4FbevhRApU/DJnYafpBqKfXlpep9rZ70JrKilRnWXFtTlvyT03CzWLz+I5vk0MlV+aeSyfDKenMDhhA6nLW9iZXuPy3u12LJ8M2bPc0moar53HWWu+tjvUWPJhWgs4mqQve+XsDaONMs9LB86Cc07YThnfujLA0EQhI8jEipBEIQfVU2Z+wEOj/meXhvucSP27VcVXqdx0J3JuRc5uJa+/VqbIfMg7NIu5ow4w7VgBe+fRpRN3otHXDW8waOAHDJUX/5bFIeQeV+TOdvOsdg87u/cW1BAif8Trhte4aFXOinNX4q8wMPzenRY94AHr8rbWAM7mYJne9g8cS87zqQS1eoXn0ONlxF75xiwziAMnw/2bjYqpTbqFqcm92Gx7lXOxKgeU01dwXMc9h9Eb+NlHCtev17yaAN3d0xH804SDlmNCbEUcu15eWsHy1dsxcyzgNQfyejqQky4tro7Q9Zd4riPpOXeLEEQhL+BSKgEQRB+VDzRN7TZ1n0sGy9G49/YjSItplYmJ9n9Ec/P7ODxqyzCm3UPKKQlVBWmkpacTGxsLAkJCaSmppNfVE11s9LQckk+ZTmpJCUmEhMTQ2JiIqmp2RSXS6lRaaAqakrITk0ltXFLyye3vK5p7olMUkZ+5uvXMgprXjcWpZWU5Tbsn55DdlkdsvqpKHLk0lJK0oNJfmzItonD+Ev/rex5HE5wTAIJSQUU18iUpRtQ1NVSmZtJVloiiRm5ZBTVIJG2MNdIVk5hVvPryyNfUkVxeRlVVZK3eqAUGe74n5nCHENzNtxNQ/HOm32Ick5UERnN70VGHqUSlTeR1VGZn0lOehKJ6TmkF1ZTXdf8nkqRuBlw9fhGOura4xZT9e5napEc6krJz2h2/tQ0snLLKVcOfWvar46a4gLSml9nZiHl7wwrrKW8IOP169kllNU/RzIkJZmkNxyXWVxDRdMNrKG6MJV0T3Oua06mww9zmXPImWevYoiOziCvtBbJW+9fR1luWrNrTSc1v5IqaeOnraOiKKvp+krqkxIFdWXZZDYck15Y1XBdShJqS7PI8LqB9Y7ZdP9hKqN1HnM/6BVR0WlkF9W8v7CEIowEK32Wdp3LBuOXuNaoJlTZ1MRe4bi+CbrHAusLSNTzO4uHuRbTTrzgcZT89fNSlkD85TXsOWnCLLNX5KvGvyVJj3DYO56+Uw3ZZp1FwUccIgiC8CEioRIEQfggGdR68PyIAct67eL88xxylD8uiCPjiR72IclYhRZRnpNGiaSOqobGmUJRR2rwRR4ZzmRRv3707tmT3r1702/UQjae8MS/oL5JjryugCjnPVzZNJFpffvSs2dP+vTpw5CpGzlokUBYabPGuTyFV07n2DB3OP3793+9jdNB63IwqfU7SUgPtuKo5iSGDR7M3MN2eGRAZZwLjw7OYlq/fgyZuZqlZiH4577eX1LwDOuNC1jY5Vt+9x//zr/815/4unNvevQYy/gZF7gbXUy58tS5sXgfn8umGSMYq3mMXQ55ZKv2BNRmU+BjjuGKAQzt149+/UYzbtEODJ7eweiqBY4esWQ1qwNQHXUXq3U9ma1ryl7Xj01klOogww+PS8dZMGoMffv2rd9GLdyKqXssaU1JgrLuQSKBJvPRmzucsav2ss0mg2TlB2okzyTl+jJ2r5rF6ON++GZ8TKECGeSHkuluiv7KSfRrOH/fvrNQ3/AIu+yKhrLf1dTFv8D2+AFmDRvRdJ0TVuhzOyCD+hA0vF9tSTA2ZzcybegARq0+zOVAKaV5qYTc3sraCf0ZOHgos40csIhUJh/Kz/eKiBt70e7XhY6//R/+5f/+it9825XOPQbQo4c2J+xSiG+6DdXU5Lzkkr46owY1PDf9ZzBSy5LHUa/n/NWWhfPs0jbmjRzA0EU6HH9RQWFRAXGPd6M9sz+D+/dn2t4HXPSvaxhOl0TSk+PsGdCN7n/8Nf/6f/6b//7qB37o0Y8ePdZiePMVkYrXz/g7Sp0JOKnBoO82onUtmph3Ap9JTcxlDuuZoncqnMTGhCrkCg6X1tN5230c/CUoFLkU+13h2ERNth1240GhamL2HoUehJxezOBem1l3JZZoxUceJwiC8B4ioRIEQfgQRS3yeDMsN82k6x+GMXWlFks11qChrs7qKSMwds/kXqHKMXU5VITcx3jLGnau3822tTroaGuzbdlg1utuo5eBP0+j61DIkkhzuYi2uhp7txxkx9ZtbNPWYsO8rizZZcxAgyB8spVdGQpqktx5eXQzJ08eRuvMBXYfP4jxPnWm9Z3FtNVWeJQpqKlIJD3CETPj3ayb+AUzd+3ghF8mSVExvPJ9xPVDK1kycxxd1lhxMbiaWuqoKwvB/9pxdk/vwdjuf6HfDA0WaW1j37597D/iiGd6Zf2cGEVJGtEPV3B04hcMG6HBDLNMXjUlJrVQHkbA9V0cXTafeQvWsMP4IufOXWD/rg1orVFn4fYrGD9No6iphV1GbdRdzowayfp9j7iT8bGN2kJKIh7wYOcyNNdsQX33KU5ducKVK8fZvW4+hkfPc/JlJikNYxZl5VkkOmhyYW47hvWfz8QziQQ0TZKSoVAEEnR4LdqTVqFjk0H0W3NzWiJHWuiDz96VnFy1AQ29kxwzM+HK+Q0snrKKWas9CFQo54IVkvbiEje3LGKVxjaW7TvDOeV1Xj6I/pp5HD53i0uhZeRIoCLZF0mOD05PLNCd24tZyyawxT4C/8gMUsPcsbm6Bz31AfReeAwNi1zy6is/pJHm8Yjzyycws9v/MnjCbKZo6HDg4EF27LiOTWAeOfU3NJW4O0e5d2wX28+cZcuJkxw5qc2medPoP0CXY455FEhrqczwwNXWgt2LhzB3wUDWPvLmeWQ2meGeOFgeZt/yQQyYZ8Bc0ySS6qvj5ZAbaM/lVdNZ0OtXDB0ziQmrddizdy96epex8kgjVdFCD6ZSwl3s98yl64gD7HqW3UIhkmxqoi5zdMVRtHd6EiRX1PeSEnydpyYaDD3ghG2slJpECwKM57NyyR1u2L4iO+Iq5jqb0NfXR//SI268qqaipaKAdREk3t2GWnd1lu9zw71KoRw4KAiC8MlEQiUIgvAjyuy3c2p9T/7nqx8YNGgQAwf0Y8rocQz8fgOnHXLrv4l/iySKMtutLB+wmmELnXEqafh5jRe+gTYsuuxHfKIEpC/JurOVoe3Wo7Y3mujG98l7gq2vO9o3oqipUU7g9yX2yQ7m9hrHin2WPKlQ7lgN4WfZ1GUgw0cc4Vx4Ac+fPyDAP5iI8EBc93RlwYaxjDay4p5DFMlVII2/iaXuCP467RDH3IuaDQnLJPnmRg7NmYb2w0wiWmqEUo2s4imPlkxnwwQ9jvjWkNm4nySLPLfN6E7uxfedV7L5ahyRDeO9in0Pc6Tnn5m66hJGgbJmDewkkp+eRb/zaozMQghQvYfvIS14iu+5OQxp34uJu25wI7Wq4XNUE2syh92LhjNgrxuuKY3nqgOpO44bF6A1dD373UpJbBo2VwVVTjxatRXtSae5HltF3ptTtUhWEkH8s62s6tybKdNPcfp5BaX1JwrE4eZtDp7wJqpAQm3eI57oj6TH132YafyY+zmNpbyLCDUax/Yl0xh5MozgXDklUS4Ev3AkPKOQUPNF6Gt0oLfBKQ7d8CEkvQ5JeSShJhMYOk2DeWdfkd4UnzrKgi5xeXZ/dpxz5XGxSlJamUN26EHOrpzDtHGbOR6UT7ZyB5kf9ttmM+Q3M9hyIwab8BB8He8RnJzHK8vNGGl8RZ+dB9Az88A/vopqSQbJt+YwY/ZiRhv6Et2Upcgoj7rNnUUD2Gl0j1vZH5kUh13GQm8S3ead5phnCTXvHFSIJOkqF2dpsGiKCfcb5lDx4iB3ds1i6dVXBJSUkvxYl3WTR7LV8iUvnJ3w2zyfnVOmMmf2ZKYv0mHmDlc8EipbmA+YSIr9Xrb2m8WaHU+wLlSoDI8UBEH424iEShAE4UNqy4i/OI/dW2fRWfshzwNTyUhPJOyZA+YrLPD2ya8fEvcWRSZl/icxmraIKdNPsNc5keT6BENZ7rmOksqGiSiKSJIe7WLDgIXMXn+bC6F5lNT34EiRKuoor6hDrpCR9VCHszsm8JXaKSydEskoqaA20pvw05uY1mEa41dY8bhQQmlVOZJaCeVx1tzX6MHguetZcPUVZVXS+m/4KzyOY67dh/YaZlzxLmsYjiWFcgee6muiPkqHQ2557yk0kU9d/HVOztrGhtUPeVomVaYj9SQpnjzb0ZHx4xYy82gAIc0q6FWGX+HanG5sMXrItaRmDW6ZD8FX9rO0+y7O2qaS/E6juiUysm11OLqoKx2nHOaUV0HD0LrXcqw0Md44gr9ufoBjVGO1xVLIsOTykh2smX+TRzlVDQmQ8v4XIE24xtl5OqxZdJ8nhTVvvd+75BR6HMd01ff0mLiL/U+zKWhKzuTU1VRTVi5BWldFisUqDOb2oNOc85iFFL1V+S7tykL2bZ7Od3ou+KfUIa+tRlJTTW11DOGnZrNoyhg6737Gy/hKJHJlMUQfnHd1YvKWA6y5lUpdUy9fJLFWe1nTdwG7rkXir9IjVBPjivWOTkxco4PWsRckZBdSmJmGxOMqh6ZMplfXnex3TiOxRkJNVQV1snSSrq9h3eQBtN9qiXVYCTXKB6cwFr/DPVHX3sEMk2gqmuZRxZNmf5DNg+ax/aQX7rV/e0Jl3GJCJUFa6Yjt2nEsHbCYnXY5hBdkEXBWjf1Lp6D/IIbYgCdY7NvMQI1z3Ah/xsNDx9k54BB3H4QTl+CH7dbN6AzegPHjOMLkqj1lrxMqbZFQCYLwMxEJlSAIwntJkVb64LRpOOvnarDqUcWbHgy5gtKoUqSq84jqSZCWxRN+by/n1k6nb4/RjF51lBshVZS9tV8F1Vl+uJ/VZPeCifzQZwozDW5i3zzxIIbgIwuZ8dV/8v++6s2oUROZPHs6i7W3se+IKddtw7EPzSWv6YAcclyPYjBsHPO2WmAW35hYSMix2c7ZVf2YcdKLZykNg5wUZRB7gVPa2xmxzIpHyVUtl72uS6L6xSE01fehfjiY0KZ5SmXk+5twatgXzFppwvFQRbN5Mymk2V9g14hVGN0Owr/5cLrEGzzcu5QB409iHlzVQi+CKuW7RhN8eDZLe/Shv64HLjnNG8rlZFms5cCKUQzY64JrUkOPkCwLAo6ju2ovM/U88al8U8CDygRyn2xi7dyNzDHwxrvideLZMuW7pRB1cTlbenVm4t6XOKr2CDWSBfNi+ygW9BnFyEMhzYYYKufW5ZN0eT76q2cw/Kg/AZmNV1ODIv0+d1fOZv40A7Sf5ZHbEKLqqHvc0/gWDaObGPtXvSneUfyUlybbGTzxKGc8S1SKK5RQHHiZ/d3/gz991ZEuPccxbcoExi1WQ3vfEc5ddcDsWTTRhY2FQuRQ4oj99sUsGKOFhlUSiQ0PQk2yE882d2Lz/tPscq94c/5yD8KuaTN6giGGtjk0fZQfE3oJC72JdJv/OqF6t46EAoUij7xnBthpTWX2iFnMXbaYWXM12HH0Fr5xvrjqaLJjhgH7nJJJjr3OqUNHmKzhQlLD+MH8B2e5qT6Qk44pOBS2lFDtQ7vfTNbo2IiEShCEn0wkVIIgCO9ViSTrNrfnT2DJGH2MAxWvh0w1qSA7LITwkARS5C2soVQdSOyTI5zRnIXa3PEsP3iLiy/yyVNZKEiW54SvuT6Gq6YwV202a087cTe4BIkytal4xEOtRYz6wwBGzlrMHPWFrF27ln3HTTH3Tnu3d0zqyyvzrUxptwy963EE1V+vsiJdJLFX9rJr6ioOOWWS0Li/TEaR9Tr0DXTpZeBFcF7Ls0lkeZEkXJnFut1nWHI3l/9/e28BHEeape1G3Lg3dv/df2Z3Zmd6eqe5zczMzLZsSzKDzCAzg2zLMluWDJKMYovRYrLQkixmZmZWlbDquVElsCzL3T09DTM9+URkR7QzlfBlVuY53znnPdXd45BGRcAdjg2by+EbgbjW9VAvLLTG9cI65k68hdbr2vecyQavqxieX8yYQxaYfiCb3RdimW42bsc2sXrMblRtcknqDie1Q60PfhrrUV66le3mmcR1ytdLagopfLmOk1dus/pZDnk9bpKkJIfoe9PZc+I8SgZ5FHzcm+qoExP7EHJjN5tGbuaUTRGJfQ5VLW1FJphvXcPqaSc449lTxrsZiuxxOLECJaUjqDqXkdF1DdJ8mkNvc2LaehR32GJTJe2MAJbTEG7E3YWrUH8WjG9X+ptsbxE6WN3azJcqhhhGNvQaw0QqA7TY+cUEpkxZxbKt69myZQunT5/jspkPMfK00Z5UQJION5ZtZtmKp7zIbqEjU7UKcaIluitXcfmuKy49nMjWhJe43l7DYJUn3PWr+eEqjekvcbm4hmFzNLjoXvJxuXxRAlW+utxWVeXgwYOcumCBrX8yRb7X0Np5km1HvIgvq6A96g639F+w4H4MrZ0CFlXBVjhcGMQxowBMkmQOWo/9tiaQaXGSjSM2sE3mfDcKNVQCAgJ/H4JDJSAgIPAxpCXUhd/iisI2Nu21xqlKbrp3UomoyJCH5y+jru1BWJu0Qya6uZbWphoKGlvfbSsKIENnPLMmTmPW5XBCq5qhpZr6hhqKe06NV1rhfuJLBoxXZuX9tI6Z+2ZntJfOY/Xs82hFN8rM3k6aaK/Op6K6gYoe+2gvfIX/jQ2MGHOG4+YZ5MkNySYoscDsxBUUlxpinV1BaU0NNRU1iCuyCdKYxO4j+5mnl96xr+Yy6qurqKiT0tp5EY0pPrw62o9TOgZce1NDs6iE4tom6pqjybI6w7r+S9h79y3B8uPJ5LYrSTLdw/G1X9Fv/WOMYipobKyipKqF5rYWcl4e4vm5pSg/icQ3qxqRqJrCemj+qFPTAEUvsdi9iRVTTqMeVNehtihDnEGN+QG2z1xA/5XaPE9o7G7O25QTgfeZwag9eMi51xXU1JVQUiuiug1EmW/wPDmACw+foebXQG1DKWX1TVT2GaJrgppXeF7Yxeoxe7noXtA5tjIntgFRXhFlJdWIqKY58xkPVyqgsOAamvFSWdJhB3Vx5D3ZyqqJCxm11RDLnPZuJ1PakESp1W42zNvHgmPeBLd1GvktgUQZXENx0g0eeOaS3dRIdXElomYR2RaHub5/GgNOOeKVJUsnraWxspjy6hbEbdFyafJNA5ZxWDeMkJ5KdjKZ/vJiCuskcvn+jn8roNHtCIdW7WbyVjvcZfdJ9u9tESRbXWXzZHVumKeQ1tZETXElDeJGClyvorVrOEOOm2MW34ZU2kBzbTGVNc3Uf1fIp9qDsLu7mDTwEKpGKaR9zKH6ADG1iV4YHNqEmsEbtCKkSFsqIPI6DywsmacVjUjcsbPqYHOszwxkt64bz2J6OVTVAcTc38LUUarsfppMkqDyJyAg8HciOFQCAgICH6MigsQnSqxdc5h192KIa5LSJpUikUiQFNkQ8Xgeqw5dZc/zFLlhLM94ynEi960BR8y9Cc7rzHFrzaDEZDXrFTYw9nQQ8Q3NkGvOa48XnHAIp6irqKfSl9CbM5i8SJUVWok0yv5Z4o+p8mR2zdjAOc9scrvOrTKUdOML6FsF8TJdXgklp8ZXC6Pjk/h2mx4PXlfJ4iogrYU4Te6dUWP8DkucspLxd/LE0yGA9Dx/bA4PR2ntZjZb5lFQm0dR6BO8XrlgG9JGeWcEpTbOHJMt37Jf4y4P/fyJCXyMbkAuoXnpJBhsR/Gbb1l8yAqbMgliUS4pHvY8PzOJeev788mBF1j7upDw1pMn7iXkVhaTqLuWq5vmc9A0Ca839oREe/EoQkLeR3P/WqDFC59Tq1k3cjVrHsYSWiUzlOup8nmO/tzRDB2/mzm3wylueJd2WJ/mhM3OQaheuMRdnyCiAh7x1C8FjwqoSbLBcstXqF56jKZPKgmhLzB+m4NzTu8UMRnt8uhf6K2t7B01nz3PXvNWJOuFVIsoyoPASw8xM/IlRdqCSOSKydqJKI7fymbjLBLrJEgk1VS5PuLepKF8O/kwik+SqGp9JyvenBmIz4WhrDiozqanaXQHkErsCNA9xdhVOtzxjyUyNhSHF84k5CUQ/HwjR5eOZu51P3wK6mjMcsDbTJeXHoVkNpWTZn+Ck4OHs/+6La9qupyGGtrCXuD25CGavrUkdnp70tIUIm6MZ9vhUyy8HUN5V2FThQcxL44ybZU2ZxwiiE6LxOGpIzEZiUTYHOb8kkHMvmCPdXo9TQUehL/SxcY7j4i8vsawE0k0qWZn2DBEmYOawfj/0NqrhjfEmV5k3vpb3PAro0D2cEvKIewaj8wsmXUzkrK6jj1V+htgd3oYataR2GT32n+2A55XFjF2ySWO2RVR/oMOLiAgIPBxBIdKQEBAoE9yqXt9i6dzvmBo/7H0n7eNFRvWsV5ZGWVlZc4fXM6K8X9g6GF9jrs1dhtsbZkmlPtcYJ3SRibNX8m2bdtYt24dy1ev4NxzX7ReF1IhbqQp4SbhpseYMn0Z81esZceOHSivWsbG3Xs4bxKFSVhZZ2PUUlKfnsB8y3KWz17GojWy429F8+YLDPWcMHZLJ6ysyzBvoMT6KA9UxjJJwxOTuE6lO2mN3Oh8dX4dA0avZLXM+I/Nxz82nbLqBGLuLeKU4mTGrd7P8bMPMTbx5pllBJFZ7d2RhsZUB2y2/Yn1ixezVc2Sp7Z+OMRVk1VVT2nEC+5s6c+ipctYsfcqt2wDeJtYTlrEUy6pTeWTactYe+AmbjHleGa3Ut1YS7bxHm6v/Jr5yje5qR+EpV8cfrlSqj8a2ZBdSQmlHlfkdTWzJ6xg5nLZWGzg3I6zHN58gZuvUrDJeL+flSjHG6c9f2XbolmsP23CUxtfbCNL5emCjZnu2G3/H7YsXsmGs6/QdwjCKb6K+N4y+N1UUeamjcO2pWxZrMC81coob96KxgNDvJ3S8HmTKpcqb6OYDON9WO9dwfhRi5mnsA5l5Y1c3HmeQ9uvcNszC/fc5vfOsyHGDEuVz1C6/JRDLvXvIip5VuQ82868iUuYsvkM2n4xOEZlUFBdRL7rKZ7tGMX4hRvZfvwaz545cv+5N16RNZS3SaiNt8NtxzzOr1VixmIllJXXsWvXaUyfOKH5wBmXJBFFndE4cYY7jrs+Q+X8TTZYlstKBDsocafMRIW1s5YySuEQN9yCcUooJruimMKAm5jtHcG0hWtZf+gSurrWPDXxxyO8itwedWMfUkVLojF3Fk9k21lj9NJ/iENVRp7lDaz2nWHHs2TcSztr5KRVkPYIo2sPmLXKjvD8jn3lPbnK/QXz0XLPx6/xfeeuLUYP490jmLJLj1tvxH3UcAkICAj8bQgOlYDAr0opdRnBRLwJI76sh/rYvxINRVQkehEaGU9McWfa3D8EmdQEPeXFpnVsUVBAQUGBFStWMG/ePBYtWsSqVatQUNjA4eeBuGS+u3FtNVHE2l1FXWkVS+bPZ/bs2cybt5QVB+5gGl7ZWZcioanQg2D9sxxZsYL5c+fKt1uwcC1rLhnjmip+XxgiL4Ykg+tcWLmShfPmsXDhUtZs0ua6aTbZ7xmuddSEGWFx/SRXLKMI7c6Ja4IcFxIeH2W37Fr23cIwuxK53yBtpjXKANu721mtoMCqVaqcfRCNf8r7uXdtlflEG+7msspmth2x5Zl7dbezJWkuJfH1Ta6dWIOCwmpWXTDEIbERcWMOITbn2bZOAYW9T7CPf5fiVh/tgf2V1WxTPslJ7ViCf2jeV2MsVW43uaa0kkXz57NgwXJWrbnMLctwed+j3roI7bUVJFkc5ubeDWzeb8ojh1IqO6NuktoKEsxVub57PVsOmPLI8d26j1KSSoa5JnfXK7BswQLmy+7ZZSMc05q6VQ/l1IZR7KjBuZUdz8zChatYtfE6D5zjKeyjP1NTni++Woe588IZ6+Qe8vI10ZS9UufWptWsVjiIunc8Sd3Oli/hxofYukZ23xTZc8YJE99aGrvClaIqSr0MsTy2E+XFi5k7dy7Ll+/h+O1Q3ONa3zsHcVEwb/WOof3YAqOYZlq6VjYkU+V+A71dyqxW2MEp22DCZVFa2bqSMGLNjnBws+z4q9iqaoaecxkV39vLC1qKvAi7MpN1G9XY9PR7okStdTRlv8DrwV0U5t3FMrq2x/ZNUBeK//UbXFt2hRd6rvh4O2F0VJPDizQx9Cl4X0FSkkmB3SV2z5zPLsMI3DodMAEBAYG/B8Gh+s0hQdLaSF1pKWVlZZTX1FLXLO3sbP9L0057SwO1nedSUVsvN8B+nXP5PqRIJWJElRXycy2rrKRG3NZDnrhvpK3NiKrKKZf9TUUd1Q0ttH/P33QgQdJUTF26FQF6J7l24TpPIkrJkY+NFElbI40VXedSRWWDrO6k9z5+Ttpora2jsaYRUVuXkdpOe3MDNbJzki01ddSI23/g9X4caX4QcfrbuXLjKpdtkvBJb6D+H+IZaUPaKkZcV0d9fb18qauro6qqipqamu5/a2zu9ZxI22lrFiGur6e6uprKykqqqqqpqxfT0mM7qaSVtqZGGjv3KduuurqGelEL3QJ677aWS2t3bSvbb329iMbmnop6HdtJ25ppFokQt7S/v5/2FiRNDTTIz7sReW/WLiQttDZ1XI98EbX3+ey3Nzcikm/TjLiXsIa0vQlxY9c+xN21UJIWUecx3/1bx/bttIjeHa+tj+P1jQTaxIjq6uTj0DEWjYj6OuFO2ls67kd9fdMH5y07v45r+nBd30iRtjZ131/5PWtseueAdPPuPN89MyKaPry5HUhaaRE3Im5ufe85QdqGtEVEU9fz1tL+7p5LZe/Yxnf3rb6Fpt7vibYWWhrqqa2pkZ+H7BmWjXdLr1o12fPY2tRIU1PL++uk7UhbRTR3HaO59Z2Ag8yxamnsvL99PxcfpTmHRm81ji/dwdztZlgUNb6rNeuNqIRKt1Pc1dNhpWY4+VW9C+3aaYr1JuD8draPGEH/b8cxf60O6vrp5FVK3o2XpIbGyIcYH1Jl8gJttMKLKeu9KwGBvxmJ/JvdUF7eYXdVV1PbJOnjPf4+8nd6Zef3tLKeGpkC6ff8zfs009pQSU11LfUtks7fpcwGbOi2AcuqaqhqbO3zff7z0UpLdS2NtSLE3cdto01cR1WX/VDbQF2T5G+83o8gew82VlJfW0O17NvVe/0vhOBQ/eaoozbLHuMtiiybMwflEzfQCmqk6Id+5H5SaqhJteHxmuUsnjOHjRcfoRfRSvmv9bR/J8001/jipXYQpTlzWLF1Pxed8kj6QELtfcTZgXhrLGXv2jnMUbnDPtMkCut+wBe6MoI08yNoHruMtV0UATEJpFWKO3vgiGgsdcPx6A7WzpnDom2H2GUYS/T3dRz9yWimpeEtfpdu8fyKA65FcjkAudpYZawZ9xbPl9/PFacfoO5RRunfG1ISlVGd4U/sG11sLHTYrf4I4+RqyntvJyAg8BtCAnVZJD07wqVDh1l2KwCPQpmwRh+0NdFcGEd6YSGxRV1tAHrRWoc4N5ooX198fX3xjywgq6pnJLARaY4tZnvXs0fxOidtC0gVf+R4AgJ/EyLqi92wP7SdNXPnsmbfWa57lZEl/jAS3ZOGJBecLyxgy6o5zN3ziJM2GVR1iqp8PxKo9iHK5DKP7j3DIqVBnm4spZ7qLDtMVZRRmDuHJXsvcMQijaSKXyoS20RjWSAeJ69joOmJd4WkM9uiiLIQQ64v6LAfVl/SR9O/Gpk+099NYwnlnuq8fHKTazYJBORKf5U03l/foarPpSjgOUaPNblx4wYaGhqcPHmSY8eOcfbsWa5fvy7/9xvPndD3z6X6Bz9s/2yIqc8N5M0zXZx90oj/6FTd99FIQ7EXHmcU2DBkENMXHOegay0ZP6sTIyu4ziHTzRg3Y0e801rpmECspz7PBefDS1HoN4DZazQ45ddMQe8Z1L8b2TNRTEGAFe4vLHCLq6fkb3YgW2ltCCdMdz9HpoxiwrBV7LUrJ/R7Uleai6KJMViP+sq/Mk3xJAueZpNV931TQaWUez3DYMMW1O/44JDQu/dNE+KqQAKvb2L3+GEMH7eJtYaZvK1+b6Ofj8ZsCgMuoq6oypmrYThXyD4XMqqpTbfBbtccFn7Vn4nr7nLQrep9lbq/B2kaGV4XuLJvI8pqfrxMbvgHSv8TEBD4WSjzJcz2HmpX9LB19ME9MJbYemnfvdB+JO25AaS81sbdSR+de85oGUSQ1PpLGZiyuah4Ut0f8UDrltyeuXLlCsePH5fbORcuXODGjTu8cA2noLWvM5L9Wx45nqa4GzngldJM5c/6Pf9XQ2a/5JLlYSIfX+/UZqr+ZhulCVFFAP7XNrF73HCmTFFhn2Mlcd/jUIlyAonTX8fJRZ8wZcs1FE0LKP0hNm5jGqWhz3C8fw0/OwdMLZ3xzhN1th8QUV/kiddZBTaNHMLoWQdRMkwnpluU5memPpkivyucWnYIDd1kXtd29XirpCr+JWYbZzDn8/5M3/OCC4H1VP7NtlofiCupDjPAy+4aVm4uXDF0xyW7ms6WdL8Yv75DVZlAsuEmDi78it/9/vf8P//9JQMHj2DkyJHyZfrU0Qz7/Pd8Mns3U+7FkVHzfcbqPyjSWuryishJKaOiua2PnhdZ1AZcR23EJA7fCcOiu/bhx1ADmc95tG0HSkp6PEvsKbX8c9BIa5UVbnuWsG/RSU54iMjsfuGX0Zaow42129i4wwTT7NaPp3X8aJqh2YNQNWX2TVFB1aaCuB/1NW6Bagec1VRZOesi94Oryeu9yQdIaar0x/fIXC4dvsLNKCj/zgBVC60lL3G/fgqFmQ8xDKvoqGP5AFldwCteHd2P8pSL3AosIb/3Jj8XhT6Easxg+dbL7LbIp/S9lSU0xj7i+uwN7NltiVmJzG3+CWl4S/bLsywZtZ19TyMJ/ajim4CAwG8GcRkZni8wu3gMXTNPvCqlndH6n4a2BDMCXxzi7ANrzGKbf7pJoB9Krg/hDxVYNvpP/J//+h/+45P+DB/RYeOMHNmf0cMHMmP1YR6/ySO1VtJrgk1Me60t3qor2Df/KEedaklr/m5DXeBvQUxrlQ0e+5exf+ExTrjWk9HyY8a3saM1xdF9rF12m/thVRT1USv5PlLqcp1x2TWNi+cf8SCxne+dj0VE3Rt9HA6t5cRxUyxDavtIka+HInNMVHazadFtHsXU/oBz+YnItsf74nTmbb3NKZcSKt/L6cun1O8256es58hZdxyrJe/Xnf69SFLIDrjBmb1r2PvAC7P0RkS/yEV38Os7VG1iGnKd8Dk7g1kz5vHVHlPc3iSSmppKamoacSGmWB8Yz7GjFzjiIabwl34R/iSIoMwR69N3OLbDDveKpj5m3uNIMT3FtsErOPooAv+/5zpbSyD8OmcOX2LROT9Cqlt6vaB/auqQ5Bqhp7iaDctvcD+mSR56ltOcQ0vAZfbuucLq62+JE/XIZ//JaIZKOyz2bEBpximu+lbIi9P/ZqTNkPGY5xrnmbjTBqvk6j4c3940ISp1wnzNZtQPGGJRxHcLS7Rnkaq/BbVt61h5I5LQj6bxiaHaHptD59g8/zHGqV1iBj83Euqj9THaPJwDd+x5ltb7fhXREKOD+vyTHD7iTqA8M/qnpJX6OCOeKI9h0wkdrgSK3/XJERAQ+O3SVENdSSHl1XXUdddt/jRIxVU0VBZSVFFP/a/xPmmpR5RsjOGWoYyYt5kZF5yJjUsiLS2N5BR3gg33smvyaBbuf8HNIDGN751jA+S/5PmGtWxYchXN8AYKf8rB+ZenHkmeCU/WrWXDUg20IhsplvwI56O9BhK00Tx/kdmHXfDIb6TPgON7NFCVasGLxRu4dtEB+wpJH7ZhT1qg3hu/m5c4MP86mq4pZIn7ijzVQZEZ+tvOsHOtCXbFjd9tl/xkNFMdfJ8nm8ayV9sLs+z2XjVS2ZT6aXJ6xknOXn1DRPtPnXLbjrQ2nFSj/agsO83ai68JaJZ0tA75Bfj1HSq5T+WPz/5JbFm2n+0Ozb1mvCtJvqGAn705eul8txLQPyy51Htc4NiqIyidiSa0z5dhO5SlEe0VRlxWTXdTyh9FfR5VdnvYf+0hC+/FUfKLWKRlFIVHEBacRmaDpDPEK8sSS6TAfDsbL+mh9DiNup9NkaKairho3volklrV+uPSRWRF8n5n0dK+xuDz/kQW/pC9VNGQ9Jxb69XR1IohplnmEnwMEZLSVzgeWMvGpYc4F1hL/se8kZZyGt9c4cr2Ayze7YJ3Ret37PcnpDGaLAsNVo9VRt0lR34971EdSarlAbbuf8ihB0k/i5MnrXhLzO1ZrN18BMWn2eT8GsnQAgICAj8Z7dRnmWK6YjBrt99D7W2vYvxcUwxXfcVshdPscayn/oPvQjnFkZGEBaWSUdv27vsq8BNRRnFEJOFv0sisa/9x4yuupt7tCJfu3GGqxlvSKt9X0eybQkpCdLi05iq6xhkktUi/c/Jb0pxLvuN+7qmqsvJYEIFl7X1vL86j0ussx9cfQumkP77VTb+AUyGFmmBin6qhMHk7t/yLSe7dX648gEjD/aze+YhLhlnU/iz2YBNkW2OycyUbt6pxPqiCou9Jvfyp+AdwqGppzDNFd5ECx3cYY9elqduYRnN5EuHpNUTYG5GZFM3bGnlQVY5UWkdVpiuhNiY8ffyYhw8fYmhoyEu7NyQUtrwz9FpLKImzwcvYGF1dXXR0dDAxMcHeI46sWnkcoAfVpAbZy9d3LGaYeKaQ2p3kWU9ejCc2snXWPoTkSmiXSGnM9MfTrONvLAJSiC7tunW11GUFE6J7nkurp/DJ/wzi60VHOK2ly31taxwCCyloqqEw2gZXW1tcPUPxz2tC1JfDJcoixqvrvGSLO6/z0glLTyEzo4iq1ncyu63FIURpzmPHZU2UX+T02tEPpK6QCGeHHsczwSE4jYpe5ybKiyPWxRwnJydcY4vJ6pWn0Z7/mqDrM1G+pMsus6L3V/ZBbYw3/tYmmFi64RFeQE1D5wFbGikJc8bPXjb2zlj5Z1Mie1aq8khyM+fVq1e4RuSS0vX89EaUTcirnuPnzKvIUsp7yGlJRXkUGK/j4pWTTLoTTckHuXvtSCti8Ld9tx8bG2MCPe6y4bQpV0yzOsUbPoK0lPaou1xasInFq55iWtDWLSH9AfX15BkqcObUAebeiSVS/gyKaUqP4U3nsZ3e5pLVJHfFe9FMa0EYXp3PpGx56RVNcGkFkXHplJTXfXQWrCn+AY5qaxiyQA+t4JoP0vnaM4LwvzWVNfdtOeOYTl2SK55mZh3Ph18aGQ3Svh2/hgyiPHqM/0tPfPPTCUtNJjuzhJq2HjNVDRmUWqiwccUeFlx8S3BTD1WzPmlCnPsWP2NtdLW10f5Biy7axv6E5TX9OOdbQEDgN4tEXEVx2Eu8bZ92v7NcwvIpaGimIT8Mf+uX8n8zsHyFXVQZxd/54pdRSEHQPa6MXcHFm0EESHoYmm3FxJtd5OiKCex6YI1ufBNNnS91cUEi8W4WOMu+rzGFpNf3ZRg2Up8Rh7Op6bv3q4U7b3Nqe6U71VGc7I+tbDtrb4Jz2mlrl9KYFYiXeeffusWQIK+1aaY2JxiXrn93jCC5vOXDd3tzEbnhNliYdr3b7XFNSiAsL52khGzKG5re+z4118SSE2yOtaGB3GZ78uQJJia2+IYXUtT0bkxEJYEkeppi/OI5Dx484Pnz55i8dCMspYbS5r4iMh0TohXhbnhZmmBi44NvTCmizgGQNFZSEOyAl50JprYe2L/Jp0LWObsknXjXrvEtIqO+7323V6fgb2eKabf94IF7fCXVPWT82qsSSdFbwdErV1jyKJmGDwy5FlqKw/C2fLcfp1cGeDrdZdURU7Qd8xF9p+RdM01FrriqLmb7usMc86qWZ2z19RfSygKS9RZw8MRJVuulk9bYhlTSQGNSOK9NZcd/iVtMIXmtvVViZTTSkBWA28uu58kUq4AEQorLiInPoLSq4aMOpyhcA7Nzmxi+0pjnMTUdjel70BrviNvN2SzSfMVt91Qqol/hYib7LZnhEpJDjljad8ZLbTKhzj3G3/Y1/gUZhCclk5tXTl2vcZO05ZP7QpFT29Yw98Zb3hT9reqJP45f36GS5FAReIsz03awY5cRpskpxKekkmB0FDczTS541RInr5vq8aC31lOS4oHR5eUcnTuOiQMGMKD/13z92R/oP/80F2zLyGlvh5Zast8aoXtkNlvHDGfUgAH0/+Yzvvz6a4atvc+L0NbOSJCElopMMoMNuayqwOhRg+k/6Bu++WIYn0y9xC33XOrFYurLgnB4eJglw/7M1+NmoGKaRFRGEcm2Vzi+qj/Dv/gfBq69wgHbSsrkGsD5FHo/4PSQbxj8x3/jv/77D/z3Z/35tv9ABgxYz66bYYTW5BBhvAKVwb/n8zErWaAdR0R3wZPsiptpKo0lxvQi+5YMYMjAgQwcOI5R0xTZdPssOzS00DULJ0Mmt9l5LTWpVtiqjGPrwVuced2I6EOL++NImxAXhBJhcheVpcsZPGgYQ4YMYdDwkSzefg7rhBIKm949mVUhjzDY9gljvvpvhuw24k5Yz5+DhIaklxhvGMWG4zpcDWl516yyN61iWouz8Nc+y/45A/l6wGQmbTLGO6Gx47rqC4l9spRjU/+bP/WbT/8TngQWAhnuWO79jJnf/B8GbNDm/GsRDT2vVyJCVBRGmONdVNbOoP+gAQwY9CVffD6DyTstcMyo65y5kdJSHUzgufns37KPnTbF5HQ7h1Job6Q+1YfXD/azevLn9B8wiAEDZrBq3nIuXNzDqHPWnLOXndB30JJFo8txdszZxfSdr3BvbPvorFFreRohlydy4+YV9rxqoEJ+TVnkvjjPxv/8C199NoOdOkH41MqTADqRQmsttXEuuNzbxqLJX9Jv0GAGDJjO7A3H2Kmjzx41Q1zD8j8SAW0j7+UJ9E+uZPWDMHwKeq9vpy7GEet936By6QEXbF/jYbiPw9MH89UnnzBj7VVuvq3uJTrSjLg4mijj8+xa1I/BA2XP/nhGz1Ri891z7FDX4rFlJFlNbe9e7K35tPqqcWS+CjM2WWFf1fw9edY1VAXpoLFoAKNl74IftIxhwOJr6AVV/ww1fQICAv/MSGqyiH28ihML/8T//O4/+P/+PIjl94IIr22iIvg+ZyZ8zheffsY3i/ey6UUisd+noNYeTbLZObYOUeGEhjMOSckkpaSQkhpGpt8z7uxTZsrG46iHZJDR/m5f1eFPMdrxKRO+/j1DdjznRnAzzd0vSgnS5jIqQi0xu3KK2eOm0H/IEIYMGcjwyfM4et8Wn4I6+QStTNq+utAfH+NLLBvxF74ZN5XtxvFEpBeRbH+Nk6sHyu2XTxYcYo91OsnZcYTa3mT/8uF8/ekX/OcgVdRdiih7Z4TRVpdDqv0drm+fwthB/RgwaBQDhy1l9bkj7Lxzm0tazoQX1HaorUlaaK8rIsjmAto7Z7Os/yCGyuyxr/7M1yNmMfOoC175svSwJhpL4nB5vJOrStOYLbN3BvSj35f/wzcTN7D+bgzBpX2UMMjaIuQm4XZNFZXp3/LVkHnM22tHSLpY3qalvTyRt/dmsnvsf/PJ0DWMvhREZKkUaYIlRjv+l3Ff/zdDdupzM6T5falzmRR6fiD+FhpsWDGFbwcNYODAL/jrFwtYeOwVXvmNne0SpDQUuON2aDq7d53lsHNlD/VbWZuFGmrjXXC5o8LS8V/zrfy7PIt1S5Zz5tIhBpyw4Y5HiXyC/uMUU/tWE/UFiqzb8hyjPAl1fW4uQZwXgc/ZoVy6o8Vx7+YO6fL2RJLvH0Phv/7Mt58v4aBRFMGinhEx2fNUSVWYNVYaysyf+A39Bg+mf/9ZzFc5w66H+hy88hKf+BJq+zLkpGLSn+zg2cVtrH+eRHiZtJe9107VG2MMd/Vni/ozrju44fp4O7vHDeCrP/+VBTsf8iBORFlbl5MoayooojE3mNAXJ9g85ysGDZTZXROZuGg9WzUvsPPSfUxckshr61Wa0N6AyOc0N/ZtYOR2a8yTa79Xwv6n4Nd3qKqiSHq6FqWxg/n0fwczYIysSHMUI778gq1HHqIe2sgHZmqpGz53j7Nk5jGuaHrj4ueLr4cpJrdWs0HTiu16OdQ01UOuOfrHD7J0iQY3dbzwlMmpOtxD7/YmZqk7c8+usnPGJZrQm3s5sUqRbToWPA6OJCLSGvNLW5k/cCPHniYQWlRE8hsz/N+EYXZjJ2e3f8Na3ado2kcSEZ5MbJwHXpprWLpyO9PVQgmvku1ZTFNFDhHmN7i96lu2bN3Hgef+eHi/JiAgkpj0aqpb66kp0MduzzTWjlmFol4mEd1hgSao9MTr1hY2jJ/Fim2aaDtHEh0dwWu7q6gtmYTCljucsC+isrsJSjX1aeY8mrWSU2essSj9W+QjG6HYhVcXFFGau4RVVw3QDYwiNjaWQLvb3Ns6kxP3bXkQ/m5+oqUqmqxXBzg+/EsUD9ugldDzsa6gLs6Eu5NXclrDDfvq78iLL0umPMAJQ9ckjB5roLZ8AgNHXEDDo6hDFKFdRF3uCxz3r2PrxMPsNs8gURZaaMwmy+MIlyd8ydqtelx529ajQFNEXY4tVirL2bN1P/stfLCNDCPyrS43lFexdMZFtAKr6IjhiWkqf4XNho2c2HgPvZS2HtG4akQpxrzYs5AVE1aw/oQJpm9iiIoKwum2CgdGj2LiXlNuh35s3qaTmkRyDDeguPogi66GE938sfxhMXU5VpgoDOfQ7ltci+qMzEoCSLS6yubFB7moE4h3epVcgv7dmJZSGa6H1roZLF2hxNYnNljHxBIV5YPV9R3sm72cpScdMY5r+nCmUf5aTST40mHUlh5G3beEjA+miiopCryPxog/s3XeYg4+s8MwJp6YKFcsjs5kn/J6Vj+OJ7Rb71wM5W64Xt3AunFzWblDm4euUURHh+NtdZlzCyezars2Z5xKqWrraZBU0p6oh+bqjaxYrs3TFPH3iKq00lKVQ/pbXwI6JZO/fwnE9206uVW/UCqlgIDAPw+tsm9HOAG3d7B/3gQ+naPCydBiciXQlBmA1fZpXLv9gl2msQRl11P7sZmxLvKd8dWYx8Qvv+GLb4YzePRIRo0cxchRQ5m7aRv79J0wjM0hr+n9FK7WmniynA9zeuRXKB4w425Mz95y+ZQEaHJt1XQWK+1nt7EXrrFxxMQEYXdtI5f3bmbH8zCCy6U05kYQ4/GY8PhkzG/u5rzKtyjqPOaufQRhYTL7xQtPLUUUlFcyaOt9rtyzxzUwjYRgG6xOKzKs3y4OGmWT2BVZa40hyfIMqjOmsHjlWc4bvCE0OobQoOfc2zQL5RWHWP8gitjKTuenKZMan7uortrBtt1GPLP05fXr17w2Pc6dR1f46qgr3gktSFpjSTE9y+oZKhw974CVpx++r11xebKdUw/1GHEhkKh88YfRhsIYioPcee4cj+mj0xxfMJnB429wL7BUrvQmcxSqUx/ycuNqts+7zBGnYjJlka66ZLKcDnJy1NcoHbJEM7atx/jWUptsjsnmpezcc5wjdn44RwQT4a/J+WXLUFh6h3tB5RR0SpXXZllisEyRU/ueY5DT1kNcooyKcF3ub5zFsimKbLlojVV4DBFRPtheVGbXuMmMVbXmSUzTh9fVk5ZUKl+dZMtEFZaquuHZ1KO04j3qqUww4MmiQagefYJWYntH70+xB6H6l9i88jiX9YIJyK3tVGPuooDSN9rcWjOdJYpb2GXghFNMDBGRrphe2MSueUosPeuCbYq4j557snsXgafqTq6sU+NueJ18YvX9zYrJcbnOhUF/ZPvytRw2eoV5fDwxwTYY7pnInm372WSS2RkhlVFHW54dlicVWDtxEWv3P+aZTyRR0SG46Z/g1ILprNzzhOve1fJJ9PePJYGEBzzbr8LQ2Q95mlxH9Qfn/NPzqztU7ZmBeF0cxKw1i1m8bD+njx3j3Lm9HF97gXMH3XDJ7+rN04MqKxJ0zjD0z0fYY1j2TiVNFIlfWjZ+UTVIW+sg5wE2R47Qv98N1PzevfHEpUFYRmaRm9uAtLqYLJ/d3Dy5nzWbdXAp7LyZzWG4qS5lxP+7kIP6Kbjn5ZESFUhOdSNFHurc3fpXvt2rxjnTKFKLZOl2zZRarkFl+wbGnvEjobzLGm1GnGGOseIczqiZY/FB0UkLtAfidXw/qtNPo/W2ivyuh1xcScGrLZxaPYn+k05xw7XsnXNZZIbZok/ZvO0G54J7/iqyyX/9gHPDD6Bx9y1vZU5+j7XfhbQ+jxxrRVSXTGH48stoxZW/U3grC8F9/19Zvu8CG4x7pu4VUez3gEsj1nDhtj8+7+WwpZPtos2JQarcehZLdM9VvakpoC4tjtASyCrw4426EjO/2swFhwLi5BvIzN4gfAxMOLLNjIi8ls50tDLKIh5ze+Iazpx2wKnqXcSmOcefJKddrF2hwpGrLoR3DVOuCepTJjDqK1Vuvq3pdKgqEKUboz1HlTN77PFo6pIKl81uRRH9eC4rJ05iivIzDCKauvtFFbte5tTnk9h5wR3777b6oTKO5CcKKGw4xAqteJLf66zakzLEac+4PWMxW7Y/xqK4lqzUQGwsnmNg78dzr3jS+pAGbC3yI0JnHrNGTGXeCStsiruKMWvIMdqM6iefseiENxZ9yQW2ViNK1OTBwWMobjDnVW7zh787Mqj0u8zOv/6ZmdO3ctAsBn/5eTRR+XId1zfNRFE3maAuoY3GEvLs13N0xUQGTb/ALbdyup4caZ4RRvP/wsZdWlySPaTvUU1bpgFP1q9DeekNHkaL+btEL38kdnZ27Ny5U1iERVh+44umpqa8MXFvpPnJROhfYf+W+SjftULTwImwV/o8f2KMa2I9iT+wNkP01gDH88OZuX4TCiqnULt0iePHj7BbaSFzps9g5bGHGCc2U/PBzoopDtTh6ui1XLjmhUf1u4mnphwbgu4tYNyweSjdccej6t26GscT3NsylP4HTLGJbaKpPJP0qADy61so8tRAa/vn9N97gTMmkSQXyrIDWiizXcfuaYP5dMI5TpqGy1MCpa3plNueZs7ME6ia5ZItd6ik1IZrYXR8Jt8OXscxgzTiuo3gKPz3j2Lfko2oWNeQ3zU+ralIgy+zf9IOJq92wr6uK6JQSElJHDr+WdQ3yGYHg6l3VWP+V7tYdTaWqO5oXQrJBekYB+XTLunju1mZQ3VGCm+KpeRlO+N+cg3TB+5Hw7uMVLnD0wCS19hr6XP2kCOJVV3qcoWU+D/iimx8b/riWf0uBU6U7kyc/X7mzt3KOW0/YuXnIoF4XY4OG8uEURe5FVFFoXz/xZSHPebaxIOonfHCr0XSPVHXWuxPhN5C5oyayvw9FljHtXVOcleQYXicY1/NZsd1f/n96+PK3lEVTvrTTSybf4g1t6Lk59P39oU0xj1Gbdwidh41w760jMw4XyzNnmPoFITR62TSejxHXTTlOPDm/gImDJ2FwjV3XCre3aNEzZXs/Wwoi9WCcSmWfuj4NRVTGaaB+ubDbNvvgkdJ2wfpfhBPgeMpNv75E2bN38txm3hC6mTXUEGe7mIub1dgs0Fe97MkrUkn2WQFW+dOYvSSO9z3q+6e5G6Jf8DjmZ+y/tBz7sZ2Oozv0QplNrw6s4/Zo06h5p5FZs8025+JX9mhaqUuwpTnG/7KwtMveOTX5W83UuCSRNTLtL5TkySJZDjc4eLy9Sjt1uCYvheBaVXUvOdtt0JDMKG65zi6bBvL991EwzqY6KLmHjPS7YjTPbDY9AmTVyqzWtUAB8dXvHplR4SFLnf3HGLtpuc8DS1751hIM8nQP8CuWbMZedIJj+zOvVWnE6o+goPnTrDyWSbirnCvJJFch/NsnaLCYc0wgkS9a16qIduQByoXWLfJHqfSxs6aDgkthSG47OvHiiWbUX6W3SNi0EJNvCWmG+dy8bopxrlynbsOxG+IfnGCtePPcdsmn6zOxMHvpx1Rpid2Kp8zY+4WlJ7lUdDjRNsLwvE904+1xy6xQT+3x4oQ4o3VWT1BnQfupe9HExtfE6p7kpVjL/HIq4wPMsg+ShJFbhrsGbyEw3eC8ZM5hS31iMP08H4Ty3GzLFq6pkgksaRbX2HTFDU0jLPI7N6HmErP29xY8gf+Z8Eezl2zxsXlFY5mhvjpXuXkhhMoqdpin1Pb4Ti0pFLsfpl9s05w9HoEkZ0xG9lY14YZ8HjVH5micJHzPg096ooyyLDS5uzQvTx6ldfp+H0HlXGkPFnNaplDdS+OpI85VC3JZNkeZdeY6UyYuZkjD69z5fR21h025LZ/80ca3jZT8foedxb9gfFKd7gd0vM5TyHpxUlUBy3i6LN4gj+0G5DUJpKpu5jdO1RZ+SiVxIYPwlNydaGQu8rM/2oiS6/6YSYfbCm0JRJxZxdqG3ej7l9DuvzZb0ec48er3V+zdOl2Nhvlk9N9uc3UxJljtG4OF+9a8zKPXjNe1bRl6PN4ncyhusnDmO9zqJppLk0h1suOV3Z2ckfo+5dX2HnFkVLW/NG0y8ePHzNp0iRhERZh+Y0vqqqqVFX1aW1ARTxRzxexYc1qhs/cyv4LV3kUXE183Q/9torJt7vEY5XRrNN+g2PXpK3sLVkcxetLyiiOHMvsy3645fUSMmgPJ/GlOkqTrnDvVSF53SsbKbI7g9r8zxig+Ai96PfV1Go9r6J3cCz99ulj/Lbh3TppFpmGquydM5tRJxxxy+xMw69J5+318WwYN4kZKs64VXU4BNIiX8L01jNFRZOLdiUdqWPSQmJvKrF30TRmXQjCp6St85zbkVSH8vq0EpcOqnEvpp2i7pdrFaIMW0xVVditdIT1l/XR900gu6G3kZtHSfBT7iors23reXZq2+AUlUvphyGR7yCKTMuLbB+iwHHdaEIkUtrFxdQHPsDBL5FLdnnvUuvaQ0l8eRXFSercdykmr9vobqTI9hyXVnzBf8zdy9U71jg5O+FpaYyHthqHlc+y5bQr7iWNHfXITTGkWp5h69RTXHyc9C6SRxMVvtrcXfpnJijd4naomHcVE4nEP73F6dHH0H1dTNL3GfzFQYTdW85CxZNseZFOzse2b4oiyUSVdUOmMm3pTk4+VOfiyR0oHbNAN7ytD6ddhohixwtcW/I5Yzfp8SSutTNSJ/tPNBGaBzg4UpHjZmlENX54XGlFGHGa89iw4wybDLLI7i1GIXPDK53wubKa2f1msfzOG5zyZMIs7bLCKwIubOTSntPcCWsiXy5Z30pjsiMvN/+VeSsOc8C2lJLu6xVTHW7E07XzuPDIDfuiXgIvctpA5I3f9QMoj9rFGYsU4nqk0v5c/MoOVTH57mpcGDGYbWqe2BT3WNUmK1tppkXcRGt7b+lmCdKaWMJN9nF28Ti++GIMs4/qoh9a2UuPv42WQh98tNazdcIwPh84m3V3nXFP6yqcr6Q84hFXhn3O13/8lD9/NZBBgwcyYMF8Fh29iq5LLCGFtdS1dqVmtUCFA3ZHVFCYeoJzrvlkdZ6YKNcdV9UJnL1wl5sRPUKxlf7EvdjDDKXbHLPK+zB1qaUESdBlzh+7xNzzwYRWd3kxNZTFPEJ7+hC2bX/EvfgeAhrSZNJt1Dk06QhXHkcT1+OapSkveaW2hHGrb6PhXfXdIgnvUUnZ23vcGD+A+atvcz6gqceYSxClWmG2fRjrjmlxyuvdXqVFjgTpHWKC8mPuBtS8F4KWxj/F6vxKRq15gHZI/UfC031RSpH/NS6PGsL2Uw5YVkpoLi8k8t5NPPxTsSrq6rwt+yH7EvVsL7PW3+fcq9Iezk4qGRZn2fSf/84f/vQ5X3w7kEEjhzFIYS0bL+thH1VMcq2Yps4fqbQogLf3lrFI8Rw7DbJ7OIb55Dqd58zQIWy94IFNz6ZMzX6EPbrCxjFX0fUp7I6+fJTqeDKeK7JGSZWlt6KJf5cM/z6Ffry5Po3ZQz/j93/6K1/3+4KvvvhfFqs5Y5jee2MZsivIJNX0MEeHjGLz9SBce0aw6t3wVj/HhgkaPA0rk/ejeB8JtWn22O8dx8mL97kd3U59H6cmiX2A8a65DBp8lDPO+WTLH9U6uULVi+0n2aFkiG1JS+czV01xmBZ3Jw9i264nPErpUesljSfVSp0DE45yzTCe+A+OVUV76jMeKq5nzbI76CaI+ai6vBxZDdUjri7sx8h+/ej3g5ZR9FuogU5Q9UeVCmtra8nPzxcWYRGW3/hSXl6OpK/Ih5xGGnL1MFGfw9iFqxl11Aa/rLaPCvt8SCpxurs5NmYmOx7FE/SeE1FHlfNZjs0axCcbH/Psbd17xqG02IWQJ6pMXq/LjdeVdPd8lcYRfX8b2wZOYvZZT5zze+6zggKbY1xSnMacS244ZrR31rK0QaUT9sd2sGbqcc4653bXa4mLvPE6Ookdm1TZY1lCSedsXH2oAcaHhjL2kB7PvGSOmQREbthvnYHK/L2cdheT253aVUxthA63Vhzl8BEnvJp6NWeWNlAW/QyrM8uZ8c1Avpm5mbM2ScRX9jJ0mwvJ8FRHR2UWQ74czEjl09zzlgl4/VCDuKDjmz1iNNsue+Nc30ZTbipvbl7DOTiHV2XvRI4kRa8IfnKIyev0uO1X9c7ZkcYSp6fK6t/9J7/785d81W8gg8aMYJjiBlSu6+OSUE5GbfM7+yHHBZ9rS5m5Rp0TtkVUdN/ELFJNj3Bs+Bg2X/PHpaJHVKnejdc3LrNp6l2ehhZTKv2e65M5VFrLWaj03Q6VNMsJb7VJjPvmU/7wl8/4pt9n8rr9JRqvsc7ty/mQhdiSiHmowqGR09hyLwq/mq7zbEFaYYfDidNsmaPFs5hSyj44Twl1SRaYq4zl2A0THiW2vXtOe2zT9PYaulsXMnjMBdR88imSP3vltCTro6V4nAN7bHGr67Ltyin0v4nGuCFsO2qBfpbkXRSqPZJ4Iw12TzzFHZs00t4rF+iiDRo7HarR/zIOVTz5DpfZ8e0iDmuH4/deMUMDdcWhvNKx4HV6CT19rQ7aaa2KIcXHBNf7m1HdPJflp2ywTm7updrVgLgohDCHe1irL2PLxrUsveiNR7bsdZhJkYcG27+exaoN6qgZG6NvaICbmxt+EWkU9C6ukNZA8gM0FbczZY4uT9LrOwvai6kOf8bdhTtQ03DndY83bVOMBXbnJzJi/2PU3T6cAWurLCJVdyFX7t5ig2kpJd1WZyZVwXc4OXYp+8+64tjD6mtJs8Lq0DimTL3AFaf3DcJa/8eYnx7HAjVrnsb2WPG9pFLue4MDw5aw/Zwbdj09v5YkKt3VWD9xFhtuemHewyKv8ruPw/VlzLnkjElyj7+RmdTuNzE9N5MZFxywSHt/3XfTSkO8DUYbPmfe/ntc9IykIdsTg0dO2AdWyiM0XW6nLMLpfHk6K9Vt0Q7v+nspNPkQpXOGFX9djPJxbW6/NMTc3BwfHx/8Uko/SGcTJ77G6dRANqk/5dzrHkWv0ggyrdTYNnA1p54lENojalcbeB1DtY2M2mKGY3xT3+o0PRGnU227n80L9jLzkBd+4r4aPENzgj0W+z5lxOQlLDypjc79g2yb8CfG7tLiwuu+zH8JtAQS9+QkGwdv4IxZBjE93hwVnie5vmEJ05TMcSnpo29UcwoVbjfZMlER1Udv8P9IGkuNy2nuq87kfxWfYRHTKRYizqXC5RCHlA6z9OgbQrqf/UzK/W9ybORSDqp54drDs29KMsZCdQITp13hhmfdh0qHbUW0B1/n3MKtzFY0xKKkdyuF3jTRVBTLWzsDTA0MMPhBiykG9m+JLWr+Gxx9AQGBfzXaijNIsjiBmZ06azdtZvbYzRx7HkNk7Q8x0Nqg2ZfQ2xfZNvIENzxy5BNR7/6ulDL74xweOYwB24wxiG1+z+CtDtTF8foS5l925EVCV6pVC9Q543d1P2tG7uaoVQbx3cp3LVBkj9uVTcyesZ2DdtnEirrW1UGqLlrKKkyd/RC95NrOuhIR4kIHLBTXclr1OU+yJZ2ORSm5tme5NHUQK9XccJI5bVIR5DzjqeIatq6R1bdK3tWmlEcRensmq2btYvvdFFL7MvilxVSl+BJqpsb9w9NZpXKaw8appDW8UymW05RBYYQLrw2PorZzGssPaHPXp/wHts1ppurNc3QVv2bGoSdoBoRRl+bBQ81XuIbXvrePKv+HOF5fzrxLrzBK7HI2WqDWCV+NIyz7RoFN53XQNDbAwtKS16/98M+o/KCGqD7MGpuTI1C4bMSt4B4paC0BxD09zebhmzhtmtojhRHKPU6ic343E3bb45PRSwyjL7oiVDKHSv/jDpUo7AX6O//KgEkKrFF7wKObKmwc/xmjDjzhbnBdH+lxLdDoRdANVTaO3sU5u1ySu/YtaafIYQ/n1yowf6cTnmVtH9Yci2IpdLiO8vj1nHkZz9s++2LJMvD2cvPQMr7eaoFLaodYCPWJ5FvvY9uqE6xXjya22zlKosjjGgeGr+SYZjA+PfqXNkbrYLh/JhPn3OV+UAONfc6DdEaobhxgXadD1ZGy+fPy6zpU1Y681j7A/PnXePCm8X0jt9aGCEc1lHY9wiSsqGOGWlYXVfiWtLJi3vb0TeqfYbnjf/mvsYe5GQnN7eW0F4cTlJXfmX7USfJx1JZ9yX/M0ca600MrcLnAts8ncPDeG8J6bCrL+S2OeI1Pch35XcU0TQ2U2apwasceRqi8wre0U9u/KZx0y7MozNXknGkK2a0VpAXFkVdSRKbHTW6s+YyJZ60xkTsVhVSk+hMRW0BeAzTkvMFJtR/n79ziWnABFYXBhGaUkFyRToWnGtsGTERB1QF3uRUsU29JIeDRVnas+k8+2aSFXnAGtaWJBCdUU9ogJs/uDLp7xrPXJA635GwqimPwzWqm5Ltl0oA0qgJusm/gLJROuGDTbQC30uavyb2Fo/m3QXs5aJ5JTvdTKSbP8hT3901mp2kwvqnxZGdF4p8vpaq1hUyjfTw8MJudL5PxT0ujtCQR35x2Kn+ATnV7ThT+10czc5cqc47rEunniFd6M+E5Pd2BVkrd76CjMph9xq9xTEqjKDsM/1wRZY1vCLm5HcVBazjtUvR+ZLA4mJTISAJyoU7uIEmojTDFUOVbjj73xiC2ksq8YAKy6iioCCFBbzeLPpvDTp0EEuQ7aKAiKRInteko7p7GZ5e9iUpPpbEijzcJddR9OD3TgaSQtmANTs7eytw1xliVt33g2Mn37XeP67P/zIhVt1EPb6K13h//k2MZP3kHy29HkN9WQ1pUAoU5lZ3RoI5Zw/B7u5jzzQoOvszrTH2spTQ2DIcr41iiNI4vDzrglf1hgltrtj2BV2cybYUmx63LPoyiyl9DpaTobOHEmpkMOutOUGf+qbQ8mag701mhcoRluhHklieSkFxIcnYEJc5n2Nx/CmuOu+Aj37oNUW4yftrKbFv1X3yyVQf98Axa6jIJiq2kRK7m2dEioNbhAFsX72LuiQD8Gls/VHUSEBAQ+LmpSSbT1QzDh3pYxMRiaWXKy4NKHN15jYuGCYR9n7qfbG3OEwzPnGX5eidcy3ts355PQ/gd7iwayayvlTlonUFojzooeaqg7QUe7p3AbpNAvFITycmKJKCgkYpqL16f28iygRvZa5lPuryOR/b5SCT7rjKrx8zmf1c9xlT2PercobRJRIXDHs7s3MPI7Q54F4k7JpPasin0ucXRsTs4dNYTn6ZO5be2MJINTrJl8DJOGkfjnZpGUYAdiU5qHJ8xl/mLrvG8K+JRlU+c1Q2ubP49X6w+yH6rRMprk4hKLCY3Lp6aolh8cit7OA0FNJnPYt74CYw+FUK6zNitTSQnNxHfIlEPdbg3xGkMZMDIFWx/WSHPCPru8e6gLdkbZ7WRjN9xnFVndYkL8cYhvpGEwq5onQwx+dZnebRvErtMAvFJkdkvUQQWNFJZ5Y77SWWUxqqgHtyATGG9Awnk+ZMQlUhwobQjBZI2yv10eLZzOAcNg7GKL6Q49y0B2fWUlHgRfGMzc79azkHjLNLljkoNJTHBWJ0ex7J9Kxh0M4CsvFSqSgoJSWpE/OEnuoPKMFKfbGTZwsOsvRtDfJ81VDUUO11CbeYXDFXS5X5SMy1lr3DcP4qhUw6y9UkcBS2VpEYkUlxQ3RlJaoFKGzwvbmb24A2cdCyTN46WtlVREOKF+bkhzFacxfDT3gQXNn2g1NycbMBrjSWMX/YADc9Kqj44KZnKYQ5RN1dxeP0KxmgEkVDQcR/a80IIuDqZOSrn2WocQ1FVIjFJRWTlviHb8hhrv5nJZo0gQuRZamJq0uPwurUUZYXP+Xy3ATaxqYgqc3gTV0Ple5L3rVBhh9PZfcwddYKLrplkfMQB/Sn59Ryq1nIq7Y9zd9s8vl16FXX7SN6GhxMWFkZ4uANx+qs4pDKb/z3kgHdq5xyyKAeR9yks7J+jeOslb99GEBERSZTVFZ6eX8+c/Sbc8C0HcRQN/uc5raXFPj1HIiNlqn2RhOrv59aZA0w/7IRFoiy2JKbwjRbaU4Zy9IA6lx3D5NtFRgaS4aSHoYYG11xLiKruOLykIo2gi8M4cPY40+8lUNY1tV4VQI7xXpauPY/ibSvcY95iZehBWHIC8T7qaK8dwLx997jpHkvSW3ucDLR5ahlLZDnUZbtjt+NL9u3ewXkLN9ycH6HjnYJXdiX5Xuocm/wpc1af5opHGtHZScT7+2H/cBvbDw3hjxvPc+mpEVGhXjz2KiWlrJpcq4NorhnK9htuGDq54OlrhXaIiOTOa/g4NVTFPUF/yVg2KKqx/XEoIbJ7EWCL58m9bJm8mlEnX+GY0tMzqyHf6hA31g5B5Y4JL51MsHxlhm50OzniRlKfKnJjzVh2aPpi5myPh/8rHoa3kv3d4YYOKqNJ11/LytUr+NOMs6g/fk1CtajX7IiYck917q/9lm1X9Xj+yhI7BwMehteT1lJMwpOdXJsiE4x4zGPfSKKiookOcSLq+VUePzLjUQSUynfYTm2EHgbr+6Fy5jla9kG8ctDlfmAxMfmZRD/dzJZR37DowFOehmeSkhlHuLMjpncWMH/nBD7boYWpjREJyck8cil75xh8QB3tOaYYblmH8vJL3I0S0d2yrAtpMgV2pznQfyLLznjyUpZH2JQi74+1Y6ICoxSu8zAqBHNTH8JDst85P+3RxD3ejtKQYSw/YY5xbDZpaVF4mz1H88g3LDy4jFHXQokp7B2fElPsep8nO0ez+aEPL/uMJLZAiyeBZ9eyfoQiy+/HEtqZUigpSSbo8lDW7NjCrPP6hARaY+WbhWdoIjluF1Cd+ClzFC9wzSeNmOwk4nx9sX2wkS2qQ/jjpktc1zciI+Utmva5pBR2uE3SymiSHy1Fab0qK7SSSPlYrZmAgIDAz4CkpZaaXF9S9I9w59Ah1umk8rpUgrS9kIpQddTH92PajIMoPY4ivKCRvkpOZUadpCaN3GcbOaq0gqEb9NB2De20cd4QYnYPm6OLWDpwJnPWvcQ8u7ZXyUItBfbHuaM4mB23DDB2MsXK0RzdGDHZTVnEPFiP2tSZzFbR486rt4SFvyFY/w46SxaxaM0lFPUTKOyRu91WnkbwpdGonj3G9HuxFHcV01T5k6K7hbkTTqDyOI34LsOzyY+4J2dY3X85O28bYWTljPcjTbzt7nNiyXAWz1rLPpM4/DMySI98i8dzNS6cHcyn63ey8boB4SFOGHvlkuBtSYrLRVadvY2Wra/cZosMfIXzrbXsO6LO0hthJFRV05byEC9rDZZd1MPGK6TDFnN/itHZpSgeeMBJ2zx5Hc0PojiAyIfLmLNMgc/nXULTOIiE6sZe9kMNBTZHua04lB23DTF5ZYKlozl68vHNJPyGMuqzZrNV7QkG/jIbMpqYADtCdNXQeebMs3hJZ91+M5X+t9FbN5jtly3Rc/DGzlGfh8EVJOclEHRXgXWjh7L85EuMo7JIS48hxN4S/ZszmLx9Bv33PcDR2ZTw+AyeelVR+7HJb1kmicMJNk3awdLD7ng3d4lOdSHzUCJJf3GQ3YNms+SSP45lEiQNESQ+WoXiqNVM2XaXx5EhmBt5ExNbSHWXd9QUzJtbSqwZNp41l52wjs8hNTkSN8P73FD9nFmqG5h5L4aM8q56uc7jSUXkWl7m6aG5KN33wymnr5RCMW3VdrjuW8q6yTtYp59OXGd0tzU7GM8z/VmgskeuKv32jQOmPnm8iYwl2fowu8d9yYJtt7nnn0p8ZjxRHu5Yaa1m9b7RfLr1Gg9fGpGcHMd9pwJyyno6y22QpMPz/SoMm3EfvYQaqj44r5+eX8+hKrfE++AClv3h//Jvf/icz/oPZejgwfKeR0OH9mfE17/n26lLmHo3isiuivTWQgq9T/Hi2Aq+/fQrBg8ezJgxYxg8YhLzDt7mrmsu2bIW4+I4Ei23c0ZhBl989i3Dhg1j7NixDB43hw3XLDF8U0mZvHOelLbSRGJu7ubawmkM/2aQfJ+DBy9gz1FzNI1iSCpuob7zVygq9MXz6BhU9h1lm3UZDV25QrXhFD5fz96Jw/jvz6ex+p4FxqlFlIsaEaXZ4nR8JFNGD+Tb4VNZte4Wx2/7EpzUgEzUprU8Hv8LI9gw/hvGLL7OkXt+hGSKqBK301Iei4v2cpQXDOKzgdOYvO82T17nk5Xmi/G9hXw9+Cs+n7QLLcds3pQ3I2pto9JXD61l/87Y4StYc8QZQ69ssqvbEfX5wu+JhPb6ZCotD6K9ZjoDPhvEINn9GDSLRYtPcOmZF/ZZ1dS+90Zqo9RDjTvL/pNRI1aifMoFE58cihqgWSKh2OU0t5f8jpEjlVl/2h1z/wIK6qWIv/dcZD/wdGrsDrB59kIGr37A/fBaqnpPjch6boU84tGqf2fC8LmsPGjDE6d0smrbEUvbEcU44am6gu2jRzBowBAGDx7BpCkqHLvkhoV3AYX10Nq5S1GSLebb/oc5I6YwZ4spt81iSSptoaG5mepUR56eGsf0iYP5dsRiVl4yxTG8hOw4U64cHsV/fTmEqetu4ZgsIa6qlZaPxu5lmruxRN5ey6G1SqyXvVjey+CTdqfuKQ9az6Hn8YTJH9MK2mLuck9hKn/8w2CmntDhRWAZeVU95c/FlAeac2/5MMYOHkK/8QpsvGeFc0gg5iemcebwLlSd68h+LyTW3vEivXuELZPWc8Y+nagP4vkyGqDYDIs9m1k99QxX/crfCUzUZZPxbCW7Fn/F776dx9ZLjrwulFJVJ6apJBwnzSWsmTeQzwfPYOqBe7zwKyA71RP9W3P5fODXfDVtPzoehbwpaUbU+XsSZ9rjuH80yvs0OOJSS+0PeV4EBAQEfiLEJcEE3VyNyvDP+eavE/hE6SUmSc1IRW8Jf7iQ6Z/+P/z+/37C5/P3stUgibg+I1XlNCU+x2njZCb/4b/4tz99xRf9BzN0iOxbNJoxw1Yxa+lBjj/wwiaiTt464n3aKPPRQHvF7xgzYhmKxx0x8MiioF6WktdKU4YVURorWTtkCF/3k/WfGs2EUcoob7uFQUguEdXvC1yIC/3xPjGBnfuOsMWymNquTJFcJ3zUFzFxqRqqVvmUdlnEkiQybM6j/B+f8MUXU9ij7Y1LZj5lVSVEWB3i+PrB/EXWE3P1Ma5YxZOQloCPxQ6mTfuSPw1cwf47vvJvgajah6BHiiwdMoCvvxnIiBEjGD58BAPmr+OEURheWQ2I25oQJT/C/bYyE/76Nf0GDGbUqFEMGTqG0WsPccUuheiynkJL30NDDPnG21k5eRFjt+mjL4/U9TG+XlfQWv57xoxcgdIJJww8cyhokI1vC3XBFrgeWIGSrA/nAJldOJqZcw5xXN0N+8ASihqknRE3CXWRL3im/HumjpjPkj3WPLBLJr2qlcbmJkpjTNE6MJxxY4cwYNxKNty0wz2qiLRwXY7tHMrvvhrF4l26uGa2k1LdhryFaV9Ii6gNuYPaPCWUtxpgWtC7D5VMiM2DN7cPoThyB0depnSk0EmKqA1SR23eOP74ySgWXjLCMKCE4rqWd+n/0kaK3J9we9kIhg4axsCp69ml9wrXAA+MDozjxOnTnPZupLg7fVRGM9T64n5+D1vn7OGsUxZJH4hRyKiiJeMZT9evR2nxdTTD6ynqTHuVVsQR+2A+SrO/4o+Dl7P/tjevCyTU1ItoyPXDXH02i2cM5uuhc5h/Qo+XbwrJTHJAS20af+k/gCHzT2IYWElYRTNNPR+O9kbEvue4tX8jI7ZYYJZS123r/Zz8eg5VQySpzpZY6Oig07ncuXMHDQ0N7t+/L/9/XQsPXBNrqOxyXKRiagvfEvPKkGdaWly5ckW+3L7zFP3XqeR2RYza6ilN8+aN6WMe3r3bvd29B2bYR5VQ/d7At9GSHUWcjSE6d+/Kj6+lpYuBQzqReT22kz2uDdnkBtrg4x1EYG5LZ7hXNoFfQVOyO6GmsuvQxcA/gW7tAFElZVHWWL3ovM6n/nhEdjhTXZRF2+JhpIPe8wBcwuoR9Zh2qCkMwNex828N3QnMbqJN2kxZsjtmT3XQ0XMmIK21W+K7rayYeBcdDHX0MXbMIr4vieyP0g410WR7GPFEU7NzLPTQswwhsbr9w9obmd9TmEScsw4vdEwxcckntYccW3NxIrFOOjzXMcbUNZ+UDwvhPk59FjUWx3n4wIZ9xikkN/VWR+ygpSyXRFcdjHX0MbTPIK7nPWuqozram9dPdbh78ybXr1/n4UNzrHzLyO1VitReW02W3wusHuvx3DyWkLR3R5O211GY7Iitced9sA8joUKmbldFeogFj2X/ZhxMXNkPkaivp87/NM8PbmLQCnPMM3o1KWzLozAyAFcLf8Kz6jrr41qhMY3U15Ydx7cOJKasvePj0toCWW6EhGVg65JApo8VZro6GBoa8sIngPRQQzRWKrL30HNMi6G21wm2J97j5YU9jJt/H/PU9o/UKslenMkkeHnj5hRNYlWPguy2BsQZrwmylY2NPi+98ynufralVOf74WPfOW5GXrzJbaZdIqYk0RXTJzroPHEjIL3H/iQZNPjdYcv4pey5H4Bj8S/wFhQQEBDoQUtdFunuL3ght02e88gyjNhSmUOVRXaACS+edbzTdA0tMA0ppqDPF2cDbcVvSbIzw7iHnXNT/i26yaNHZjy2jyCuWtpH6ncHTcWpJLjooq9rgsmrXJKLehqsVbRneuH7XJc7N25w44Zsn5bYBWX1Mfkos19yyQuy5bXMfslpQdT14anOJCfMAWtPmVS6qEd9UAON+WF46eqiq6OHfVgBuZ2phZLaOKL99dHVlV2TJY4xFdS1SWksDMfNXLb9S6wDyyiVGw2FZIXY4KDzSH6eMltMQ+MWDwzdCc1/VzvUUp1EVqAN5g8fcl1DQ77djRv3eWQXSmKfDut3UBFHgeFhrms6cMouh8zWvv++qSiZePn4mmLinEdycY9mtI2VVEZ44iazTeXjewMdHQdsAiop6qXw2Cqrhfd8wkvdZ+hbJxOZJenej6S1guxYa8yed9z/x66xpMrk2ZuLSfAzkY+hrmUUyX1Imb+PGFH+K5wOLkNlwwnO+NZSLFfE60I2QZpFTqg/rjZviCxo7HS4mpHUJBDnboqerg7PnSKIL2/vcDCaK2hOdcU7MA0XtxjSvMwx0NXB2NgY0wB/knz0ODtfgSNq1tiWS3qkPsq+/Y00RV7j4ZG9TF39AuuM5vfXdyOmTaaU6eqNl2ciqXWyJkOdtFRTl+LBawtddHVNsQmUCaJ0joO0lbJMD1wtZet00LEIIKKoFUl7HblRDhjo6aLzwpewPMkHNW2StkIKjZQ5s301s6+GEFjY2kfk7Kfn13OoBAQ+Rlsa2W/MMdC+j2V0EwEfFvX8c1MdSLjuObYsOojqy1h8vlsT/DtpK/YlSVuBqzdsOG3aqzlVjQdBFxeyeO4Fll+LI7EjBvYOSRVVVlu4um8ds66E4Vv8a8szlFEReJ8XKptYtOElmoE9eswJCPxNSGipSCUjO5fUSpAnJHwEqSiT3LceOFhaYmRkhLW1Gz5xpeR9rJZBZmgWRRDu6ICZqSkmJmbYO4YTXij6yISEgIDAL4Y4kVQfY4z0XmAW20Jo9Q+ru/pnQNKUSbbBOi5u387M0yG8+VsdzfeQ0przisSHGzh1xZFbTg2095xwLbbG5dgCZs3RYLNOmrzOredqiSiPIkNFTu/dxZK7sYSWN/8d5/JTIhNmccBy/3K2bDnHqddl5Pch9f5zIDhUAv8ASJG2NFBbkk9hXgx5Ufd59uI825+F4ZPdd2Tqn5t22rM98bqpxKqdNzlnlUZmdQ31LX1HAb8LUYYNrkcns3fbWY5oB1NSUkJpaSmlpQG8fb4flQnjmbHTkHuhvSJh0lZaygPxPb+QC4dPcSGglbwfIBbysyBpo6W+kOpcG+wuHWPbwvOoO+WQ+kEKjIDA99FCW2MVhakeOOrs56K2PrdCpZT0OVcgRSrOIc3tHFrbZjH2m370+/Ybvv1sPAv36qHhn9NDdbWLdpoL3PG5v46t44Yy4Ntv6fd1PwYNU0JZ0wOX/J5puAICAj8/EiTNddQU51OYH0FG6E0evbjKbqN4Qoukfaja/TMjQpLyFKNDu5gy5yZXfbPJ/0j07ftpoyHBEAfVKahsu8LFpxEUFXfaDwWeBD7ayfpxU5m135Jn0W3vqxBKW2jMdcP12GzOn7vFtdBWeT36jzuPnxIJ1MaQY3SYXYuOoiATWRG1f7TX5E+N4FAJ/APQjCjZmqdbprN69mpOP3Xglvcb/PPENP5aRv7PjbSBpvxg3Ez1sNDWQuf+U0ziyns0bvxhtDckk/PqKEbnljJzzEgmTpzIhAkTmDBhPBuVzqG42wizgBKKeo9jSy4Nr9U5t3Inysftcaijj94RvwzSorckmx/i4SMN7plHY/AqnRxRXwpGAgLfjaQ6iBjz05xaOInJI79m6YlHXAiQUtanl1NMaZAWt9eMYtfeYxx8Yo+NtQmWp5ZyYPUaxm7Q5nF0dQ/Vy1YQh/NWV4UTK2aifOI2t6ztsX+hxp2Nk5m7aC9bHoUSIquteO84AgICPx/11EYZoq00GaXFWzln6IR2QATBBc209Pm7/yentYwyz4foHFRmxVlr9CJFNP+ob7eUtpoo0m0P8OjofGaMG9NpO0xgwviJbF5/BeX9pti9Laekdw+wphTqfa6humAHO6774NnQ0Qj61yeTfNdbXJytwJ7z7ugn1fUSevl5ERwqgX8AWmjKeY2j+j5OnjyLhmUCb/5Vcr2qU8h0M8HOxAr3jJoPVf++F5kISyy5b3S4d+4oO3fulC+HDx/jwk137N82Iu4rxNdagijaFn1tR5445yIrtfubD/0TIa1IIsfrPma2LjiltvQh2y4g8D2IaqiO8CDY6THOLg85vm0O4/7078xXuIh6sJTyPjycplxngrWXMHPkfA4ZRhHb9QMoNZKnuoz66zIW3o/Cv6yl47fR3k55wGm0VGYycf5J7kVVd9a+FFLhsZf9w0YwZrkWh71LqP2lpkQFBP7lEdGY5orVhQOcOX2VW45pRNb92KjNPwkNyeR630ftrAbG5u5YO3oSUCh61xPsB9MMdeGkeN/j9pmj7Oq0H44ePYW6lh9u0c19izk051IVaoXePWeMfYvl6ot9bfaL0VRNTZQ5fm53cLB1RO28A3aRFX00If55ERwqAQEBAYF/bmpLKHJ6jKOFI0axCSQUm6O7ZCi7l5xCPUhKyQcOlYQK7+vcXfc5wxTvohXaM1Uvm0yDA2ztN4DfLdPm4ZtKeYG5tL6AsOtT2LJyATMvhRBU3tWMtJmmklfYrBvL2GFrmHA1lOSqvmYxBAQEBH4ipC1UxLnhpXWO+3f1MEuuQ6bh9Es6EP8wNBZT5nYRY52rXLaIwSdbguhXGAjBoRIQEBAQ+OemvZXW2gpqaxqoaRXRUGWLmcLY73CoailxOsOVlSOYecYei7SeM5kSKr2uc2PFp/IeNmdfFcgVotqqQnDeN5StG3ew6WUxuT2l2epzibg+jbVzZzL+uDe+xU3/moaNgIDAL0e7CHFFMeWlFVQ3/6Ok3f0KSFppqyumsryU0vrWdyqCvzCCQyUgICAg8BuiFXGxOaYK49i59HQfDpXM1cmg0Po4qmMnMvusK/bZ76eGVPk+QHvTJwxYcJHLXjUdEsjNPhiuGIzi0kPstiunqmcDzsZG4h7OY+vy6Uw/7UtgzS+baiIgICAg8OsiOFQCAgICAr8hxDQUm2Oyaux3OFSxxD7axtYvJzDzuAv2Oe87QBXeN7mr/Cn9Fl7itGMRUmkbjQVG3Jv4NcumyRyqMgq6m6eBtLaQKM0ZbFwyk8knvPEqEgsOlYCAgMC/EIJDJSAgICDwG+KHOVTJT3ez+YtxjD/ogE1GVz1UBxXemtxV/gvfzr/IeZdyeYSqvdKS+1O+Zf6k/WyxKKSoR4RKWltJ1L3ZbFw8nSknvPEu+UfpySIgICAg8EsgOFQCAgICAr8hfohDFU/qsz2s/ctw/qT4HIPo+vccoEqfu2h2OlTnnMu6HaoH075l5OBNzLkfR0FtD2H/unJiOh0qWYTKU4hQCQgICPxLIThUAgICAgK/Ib7PoZJRTp7lSQ6M+5w/LdVCN7yniISUep8raCl/y5htj9EKqkcqldBWGYqDyjBmjF/MxEthxFW/c6ik9anE3JiKytrVLL4TR3TlBwcUEBAQEPgNIzhUAgICAgK/LRodsVWcwP5VatyOkdJTP6KLhvAnWB8ZRL+p2zjqUiiXHJYjTSNBfw87585CUTcCr+JOKWJxI9lGKzm8ZgKDtjzmRVpDpxMmpSHVhGebJ7Bh91VOvK6lvHcjbQEBAQGB3zSCQyUgICAg8E+OFCTNtDY1UlddTG7iY54tG8WWhUc55VJJUmUtdaIWmnt0qZSWBxJ5fzkzxwxg/lk9nsdUUF5RRFHEA24d3cSYuSc545ZHdlcgSipCEq2Nzq5xDJ66mI1PPHhTWEllSQieBntYOXcty87YYV0ipYdehYCAgIDAvwCCQyUgICAg8E+OCMq9iXd4xNEN61kybzRjP/0vvvrLAP46bh5Td+/lhEEgruEiWrt67rbXIEp0x/r4Sk4pLGHc+NnMmj2T6cuWsUnTlpO2ycRWttLSfYw2EOWT5XiXxzsWs2bqbCbMmM3s+bOZv/so258FYxRbTpnkX7S5poCAgMC/MIJDJSAgICDwT44YKoNI8TBEXfUw+/fv5+DBg/Jl7969bDh7Fg2rMHxjezhUMmS1UXE+hNy/zPGdO9mwYQO7jt9DL7yC1B6bvUdtIeVuBhgcOYDK5s1s3nyAAzouOBVLqeu9rYCAgIDAvwSCQyUgICAgICAgICAgIPAjERwqAQEBAQEBAQEBAQGBH4ngUAkICAgICAgICAgICPxIBIdKQEBAQEBAQEBAQEDgRyI4VAICAgICAgICAgICAj8SwaESEBAQEBAQEBAQEBD4kfz/zEiNLU4zzuoAAAAASUVORK5CYII=\" width=\"852\" height=\"182\"\u003e\u003c/p\u003e\n \u003cp\u003e\u003cbr\u003e\u003c/p\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec7\" class=\"Section2\"\u003e\n \u003ch2\u003e2.5. Economic viability assessment\u003c/h2\u003e\n \u003cp\u003eAn economic viability analysis was conducted to assess the profitability of silicon application to \u003cem\u003eArtemisia pallens\u003c/em\u003e. The assessment utilized key economic indicators, including cost of cultivation (COC), gross revenue (GR), and net returns (NR). All monetary values were calculated on a per-hectare basis and expressed in U.S. dollars (US\u003cspan\u003e$\u003c/span\u003e ha⁻\u0026sup1;), based on prevailing market prices. A market price of US\u003cspan\u003e$\u003c/span\u003e 2.34 per liter for the silicon solution was used in the analysis. A treatment was deemed economically viable when the benefit-cost ratio (BCR) exceeded 1 The following formula was employed to compute the economic indices.\u003c/p\u003e\n \u003cp\u003eCOC = [Cost of Input\u0026thinsp;+\u0026thinsp;Hired labour cost\u0026thinsp;+\u0026thinsp;Hired machinery\u0026thinsp;\u003cstrong\u003e+\u003c/strong\u003e\u0026thinsp;Depreciation on own farm machinery\u0026thinsp;+\u0026thinsp;Land revenue case taxes\u0026thinsp;+\u0026thinsp;Value of farm family labour]\u003c/p\u003e\n \u003cp\u003eGR = (Economic yield) X (Market price)\u003c/p\u003e\n \u003cp\u003eNR\u0026thinsp;=\u0026thinsp;GR-COC\u003c/p\u003e\n \u003cp\u003eB: C ratio\u0026thinsp;=\u0026thinsp;NR/COC\u003c/p\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec8\" class=\"Section2\"\u003e\n \u003ch2\u003e2.6. Efficiency analysis\u003c/h2\u003e\n \u003cp\u003eThe following formulas were used to determine Production Efficiency (kg ha⁻\u0026sup1; day⁻\u0026sup1;) and Economic Efficiency (US\u003cspan\u003e$\u003c/span\u003e ha⁻\u0026sup1; day⁻\u0026sup1;) [\u003cspan class=\"CitationRef\"\u003e30\u003c/span\u003e].\u003c/p\u003e\n \u003cp\u003e\u003cimg 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\" width=\"564\" height=\"156\"\u003e\u003c/p\u003e\n \u003cdiv id=\"Equb\" class=\"Equation\"\u003e\u003cbr\u003e\u003c/div\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec9\" class=\"Section2\"\u003e\n \u003ch2\u003e2.7. Data analysis\u003c/h2\u003e\n \u003cp\u003eData on plant growth and yield parameters were recorded at harvest and subjected to statistical analysis to evaluate the effects of different treatments. The experimental data were analysed according to the Randomized Complete Block Design (RCBD) [\u003cspan class=\"CitationRef\"\u003e31\u003c/span\u003e]. Data organization, statistical analysis, and graphical representation were performed using MS Office, SPSS, WASP 2.0, and GraphPad Prism version 8.0.2. Analysis of Variance (ANOVA) was conducted to assess overall treatment effects. Statistical significance among treatment means was determined using the F-test at the 5% probability level (p\u0026thinsp;=\u0026thinsp;0.05). When significant differences were found, treatment means were compared using the Critical Difference (CD) and post hoc Duncan\u0026rsquo;s Multiple Range Test (DMRT) to identify statistically distinct groups.\u003c/p\u003e\n\u003c/div\u003e"},{"header":"3. Results","content":"\u003cdiv id=\"Sec11\" class=\"Section2\"\u003e\u003ch2\u003e3.1. Growth attributes\u003c/h2\u003e\u003cp\u003eThe significant mean square of silicon levels for growth attributes revealed that the traits were notably influenced by different concentrations of foliar application Si (Table\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e). Plant height serves as a direct indicator of plant growth and vigour. Pooled data from two years demonstrated that foliar application at 4% silicon (44.67 cm) resulted in significantly higher plant height compared to the RDF alone (36.92 cm) and the control (28.22 cm). Additionally, the number of branches and stem girth were significantly higher in the treatment receiving 4% Si (26.15, 0.87cm respectively) compared to sole RDF (21.06, 0.62cn respectively) and control (13.80, 0.51cm respectively). Furthermore, plant height and number of branches recorded in 4% Si application were significantly greater than those observed with 3% and 5% Si concentrations. This consistent trend in the growth performance of \u003cem\u003eA. pallens\u003c/em\u003e was observed in both 2022 and 2023.\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\u003eEffect of foliar application of silicon on growth attributes of \u003cem\u003eA. pallens\u003c/em\u003e\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=\"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\u003cthead\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c1\" morerows=\"1\" rowspan=\"2\"\u003e\u003cp\u003eTreatment\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colspan=\"3\" nameend=\"c4\" namest=\"c2\"\u003e\u003cp\u003ePlant height (cm)\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colspan=\"3\" nameend=\"c7\" namest=\"c5\"\u003e\u003cp\u003eNumber of branches\u003c/p\u003e\u003c/th\u003e\u003c/tr\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c2\"\u003e\u003cp\u003e2022-23\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c3\"\u003e\u003cp\u003e2023-24\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c4\"\u003e\u003cp\u003ePooled\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c5\"\u003e\u003cp\u003e2022-23\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c6\"\u003e\u003cp\u003e2023-24\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c7\"\u003e\u003cp\u003ePooled\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\u003eControl\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e27.13\u0026thinsp;\u0026plusmn;\u0026thinsp;3.91d\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e28.22\u0026thinsp;\u0026plusmn;\u0026thinsp;2.20d\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e27.68\u0026thinsp;\u0026plusmn;\u0026thinsp;3.05c\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e12.00\u0026thinsp;\u0026plusmn;\u0026thinsp;1.00d\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e15.60\u0026thinsp;\u0026plusmn;\u0026thinsp;1.86d\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e13.80\u0026thinsp;\u0026plusmn;\u0026thinsp;1.43d\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eSole RDF\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e36.67\u0026thinsp;\u0026plusmn;\u0026thinsp;3.50bc\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e37.17\u0026thinsp;\u0026plusmn;\u0026thinsp;1.69c\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e36.92\u0026thinsp;\u0026plusmn;\u0026thinsp;2.10b\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e19.05\u0026thinsp;\u0026plusmn;\u0026thinsp;1.77c\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e23.08\u0026thinsp;\u0026plusmn;\u0026thinsp;1.20c\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e21.06\u0026thinsp;\u0026plusmn;\u0026thinsp;1.49c\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003e1% Si\u0026thinsp;+\u0026thinsp;RDF\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e39.50\u0026thinsp;\u0026plusmn;\u0026thinsp;2.41ab\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e37.85\u0026thinsp;\u0026plusmn;\u0026thinsp;2.96bc\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e38.67\u0026thinsp;\u0026plusmn;\u0026thinsp;0.33b\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e20.67\u0026thinsp;\u0026plusmn;\u0026thinsp;2.08bc\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e25.01\u0026thinsp;\u0026plusmn;\u0026thinsp;1.49abc\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e22.84\u0026thinsp;\u0026plusmn;\u0026thinsp;1.79bc\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003e2% Si\u0026thinsp;+\u0026thinsp;RDF\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e37.88\u0026thinsp;\u0026plusmn;\u0026thinsp;1.12bc\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e40.64\u0026thinsp;\u0026plusmn;\u0026thinsp;2.21bc\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e39.26\u0026thinsp;\u0026plusmn;\u0026thinsp;1.52b\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e21.83\u0026thinsp;\u0026plusmn;\u0026thinsp;1.61ab\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e24.64\u0026thinsp;\u0026plusmn;\u0026thinsp;1.78bc\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e23.24\u0026thinsp;\u0026plusmn;\u0026thinsp;0.71bc\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003e3% Si\u0026thinsp;+\u0026thinsp;RDF\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e37.67\u0026thinsp;\u0026plusmn;\u0026thinsp;2.47bc\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e40.35\u0026thinsp;\u0026plusmn;\u0026thinsp;2.87bc\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e39.01\u0026thinsp;\u0026plusmn;\u0026thinsp;2.64b\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e22.06\u0026thinsp;\u0026plusmn;\u0026thinsp;1.05ab\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e24.44\u0026thinsp;\u0026plusmn;\u0026thinsp;1.49bc\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e23.25\u0026thinsp;\u0026plusmn;\u0026thinsp;0.52bc\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003e4% Si\u0026thinsp;+\u0026thinsp;RDF\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e43.00\u0026thinsp;\u0026plusmn;\u0026thinsp;2.04a\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e46.34\u0026thinsp;\u0026plusmn;\u0026thinsp;2.19a\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e44.67\u0026thinsp;\u0026plusmn;\u0026thinsp;2.12a\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e24.43\u0026thinsp;\u0026plusmn;\u0026thinsp;1.32a\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e27.86\u0026thinsp;\u0026plusmn;\u0026thinsp;2.57a\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e26.15\u0026thinsp;\u0026plusmn;\u0026thinsp;1.93a\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003e5% Si\u0026thinsp;+\u0026thinsp;RDF\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e34.40\u0026thinsp;\u0026plusmn;\u0026thinsp;2.28c\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e42.13\u0026thinsp;\u0026plusmn;\u0026thinsp;3.50ab\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e38.27\u0026thinsp;\u0026plusmn;\u0026thinsp;2.02b\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e23.17\u0026thinsp;\u0026plusmn;\u0026thinsp;2.02ab\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e27.06\u0026thinsp;\u0026plusmn;\u0026thinsp;1.46ab\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e25.11\u0026thinsp;\u0026plusmn;\u0026thinsp;1.50ab\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eSem (\u0026plusmn;)\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e1.53\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e1.54\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e1.32\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0.87\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e1.02\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e0.77\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eCD\u003c/b\u003e \u003cb\u003e(p\u0026thinsp;=\u0026thinsp;0.05)\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e4.72\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e4.76\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e4.07\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e2.67\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e3.13\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e2.38\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003c/tbody\u003e\u003c/colgroup\u003e\u003ctfoot\u003e\u003ctr\u003e\u003ctd colspan=\"7\"\u003eValues are presented as mean\u0026thinsp;\u0026plusmn;\u0026thinsp;standard deviation. Means followed by different letters within a column indicate significant differences at \u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026le;\u0026thinsp;0.05.\u003c/td\u003e\u003c/tr\u003e\u003c/tfoot\u003e\u003c/table\u003e\u003c/div\u003e\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec12\" class=\"Section2\"\u003e\u003ch2\u003e3.2. Yield attributes and herbage yield\u003c/h2\u003e\u003cp\u003eThe pooled two-year data presented in Table\u0026nbsp;\u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e2\u003c/span\u003e on yield attributes of \u003cem\u003eA. pallens\u003c/em\u003e indicate that foliar application of 4% Si, in combination with RDF, enhanced flower diameter to 4.90 mm, compared to sole RDF and the control. Notably, the flower diameter observed in the 3% and 5% Si treatments was significantly lower than that recorded with the 4% Si treatment.\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\u003eEffect of foliar application of silicon on yield attributes of \u003cem\u003eA. pallens\u003c/em\u003e\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=\"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\u003cthead\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c1\" morerows=\"1\" rowspan=\"2\"\u003e\u003cp\u003eTreatment\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colspan=\"3\" nameend=\"c4\" namest=\"c2\"\u003e\u003cp\u003eStem girth (cm)\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colspan=\"3\" nameend=\"c7\" namest=\"c5\"\u003e\u003cp\u003eFlower diameter (mm)\u003c/p\u003e\u003c/th\u003e\u003c/tr\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c2\"\u003e\u003cp\u003e2022-23\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c3\"\u003e\u003cp\u003e2023-24\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c4\"\u003e\u003cp\u003ePooled\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c5\"\u003e\u003cp\u003e2022-23\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c6\"\u003e\u003cp\u003e2023-24\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c7\"\u003e\u003cp\u003ePooled\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\u003eControl\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e0.48\u0026thinsp;\u0026plusmn;\u0026thinsp;0.08d\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e0.53\u0026thinsp;\u0026plusmn;\u0026thinsp;0.05e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e0.51\u0026thinsp;\u0026plusmn;\u0026thinsp;0.04e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e2.84\u0026thinsp;\u0026plusmn;\u0026thinsp;0.22c\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e3.27\u0026thinsp;\u0026plusmn;\u0026thinsp;0.25c\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e3.06\u0026thinsp;\u0026plusmn;\u0026thinsp;0.23d\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eSole RDF\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e0.59\u0026thinsp;\u0026plusmn;\u0026thinsp;0.03c\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e0.65\u0026thinsp;\u0026plusmn;\u0026thinsp;0.04d\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e0.62\u0026thinsp;\u0026plusmn;\u0026thinsp;0.03d\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e3.93\u0026thinsp;\u0026plusmn;\u0026thinsp;0.16b\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e4.35\u0026thinsp;\u0026plusmn;\u0026thinsp;0.25b\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e4.14\u0026thinsp;\u0026plusmn;\u0026thinsp;0.20c\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003e1% Si\u0026thinsp;+\u0026thinsp;RDF\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e0.68\u0026thinsp;\u0026plusmn;\u0026thinsp;0.03b\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e0.77\u0026thinsp;\u0026plusmn;\u0026thinsp;0.03c\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e0.73\u0026thinsp;\u0026plusmn;\u0026thinsp;0.03c\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e4.08\u0026thinsp;\u0026plusmn;\u0026thinsp;0.20b\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e4.51\u0026thinsp;\u0026plusmn;\u0026thinsp;0.14b\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e4.30\u0026thinsp;\u0026plusmn;\u0026thinsp;0.16c\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003e2% Si\u0026thinsp;+\u0026thinsp;RDF\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e0.68\u0026thinsp;\u0026plusmn;\u0026thinsp;0.02b\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e0.78\u0026thinsp;\u0026plusmn;\u0026thinsp;0.03ab\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e0.73\u0026thinsp;\u0026plusmn;\u0026thinsp;0.03c\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e4.06\u0026thinsp;\u0026plusmn;\u0026thinsp;0.26b\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e4.41\u0026thinsp;\u0026plusmn;\u0026thinsp;0.24b\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e4.24\u0026thinsp;\u0026plusmn;\u0026thinsp;0.25c\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003e3% Si\u0026thinsp;+\u0026thinsp;RDF\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e0.75\u0026thinsp;\u0026plusmn;\u0026thinsp;0.02b\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e0.84\u0026thinsp;\u0026plusmn;\u0026thinsp;0.03b\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e0.79\u0026thinsp;\u0026plusmn;\u0026thinsp;0.02b\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e4.19\u0026thinsp;\u0026plusmn;\u0026thinsp;0.30b\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e4.56\u0026thinsp;\u0026plusmn;\u0026thinsp;0.23b\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e4.38\u0026thinsp;\u0026plusmn;\u0026thinsp;0.26bc\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003e4% Si\u0026thinsp;+\u0026thinsp;RDF\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e0.83\u0026thinsp;\u0026plusmn;\u0026thinsp;0.05a\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e0.91\u0026thinsp;\u0026plusmn;\u0026thinsp;0.04a\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e0.87\u0026thinsp;\u0026plusmn;\u0026thinsp;0.04a\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e4.70\u0026thinsp;\u0026plusmn;\u0026thinsp;0.37a\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e5.10\u0026thinsp;\u0026plusmn;\u0026thinsp;0.35a\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e4.90\u0026thinsp;\u0026plusmn;\u0026thinsp;0.35a\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003e5% Si\u0026thinsp;+\u0026thinsp;RDF\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e0.85\u0026thinsp;\u0026plusmn;\u0026thinsp;0.04a\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e0.92\u0026thinsp;\u0026plusmn;\u0026thinsp;0.04a\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e0.89\u0026thinsp;\u0026plusmn;\u0026thinsp;0.01a\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e4.33\u0026thinsp;\u0026plusmn;\u0026thinsp;0.22ab\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e5.16\u0026thinsp;\u0026plusmn;\u0026thinsp;0.07a\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e4.74\u0026thinsp;\u0026plusmn;\u0026thinsp;0.14ab\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eSem (\u0026plusmn;)\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e0.02\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e0.02\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e0.02\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0.14\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e0.13\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e0.14\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eCD (p\u0026thinsp;=\u0026thinsp;0.05)\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e0.07\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e0.07\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e0.05\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0.44\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e0.39\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e0.42\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003c/tbody\u003e\u003c/colgroup\u003e\u003ctfoot\u003e\u003ctr\u003e\u003ctd colspan=\"7\"\u003eValues are presented as mean\u0026thinsp;\u0026plusmn;\u0026thinsp;standard deviation. Means followed by different letters within a column indicate significant differences at \u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026le;\u0026thinsp;0.05.\u003c/td\u003e\u003c/tr\u003e\u003c/tfoot\u003e\u003c/table\u003e\u003c/div\u003e\u003c/p\u003e\u003cp\u003eMoreover, silicon exerted a significant influence on the herbage yield of \u003cem\u003eA. pallens\u003c/em\u003e (Table\u0026nbsp;\u003cspan refid=\"Tab3\" class=\"InternalRef\"\u003e3\u003c/span\u003e). Foliar application of 4% Si, in combination with RDF, resulted in the highest fresh and dry herbage yields, measuring 17.75 t ha\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e and 7.77 t ha\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e, respectively, surpassing both sole RDF (14.22t ha\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e and 6.35 t ha\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e respectively) and the control (6.80 t ha\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e and 4.05 t ha\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e respectively). When comparing silicon concentrations, the 4% Si treatment yielded 12.62% and 14.26% higher fresh and dry herbage yields, respectively, compared to the 3% Si application. The yield performance data from 2022 and 2023 remained consistent with the trend observed in the pooled analysis.\u003c/p\u003e\u003cp\u003e\u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab3\" border=\"1\"\u003e\u003ccaption language=\"En\"\u003e\u003cdiv class=\"CaptionNumber\"\u003eTable 3\u003c/div\u003e\u003cdiv class=\"CaptionContent\"\u003e\u003cp\u003eEffect of foliar application of silicon on herbage yield of \u003cem\u003eA.pallens\u003c/em\u003e\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=\"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\u003cthead\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c1\" morerows=\"1\" rowspan=\"2\"\u003e\u003cp\u003eTreatment\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colspan=\"3\" nameend=\"c4\" namest=\"c2\"\u003e\u003cp\u003eFresh herbage yield (t ha\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e)\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colspan=\"3\" nameend=\"c7\" namest=\"c5\"\u003e\u003cp\u003eDry herbage yield (t ha\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e)\u003c/p\u003e\u003c/th\u003e\u003c/tr\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c2\"\u003e\u003cp\u003e2022-23\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c3\"\u003e\u003cp\u003e2023-24\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c4\"\u003e\u003cp\u003ePooled\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c5\"\u003e\u003cp\u003e2022-23\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c6\"\u003e\u003cp\u003e2023-24\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c7\"\u003e\u003cp\u003ePooled\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\u003eControl\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e7.78\u0026thinsp;\u0026plusmn;\u0026thinsp;1.00d\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e9.17\u0026thinsp;\u0026plusmn;\u0026thinsp;0.86e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e8.47\u0026thinsp;\u0026plusmn;\u0026thinsp;0.92e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e3.78\u0026thinsp;\u0026plusmn;\u0026thinsp;0.40c\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e4.32\u0026thinsp;\u0026plusmn;\u0026thinsp;0.09d\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e4.05\u0026thinsp;\u0026plusmn;\u0026thinsp;0.19d\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eSole RDF\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e13.30\u0026thinsp;\u0026plusmn;\u0026thinsp;1.38c\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e15.15\u0026thinsp;\u0026plusmn;\u0026thinsp;1.02d\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e14.22\u0026thinsp;\u0026plusmn;\u0026thinsp;1.20d\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e5.99\u0026thinsp;\u0026plusmn;\u0026thinsp;016b\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e6.71\u0026thinsp;\u0026plusmn;\u0026thinsp;1.00c\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e6.35\u0026thinsp;\u0026plusmn;\u0026thinsp;0.42c\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003e1% Si\u0026thinsp;+\u0026thinsp;RDF\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e13.53\u0026thinsp;\u0026plusmn;\u0026thinsp;0.60c\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e16.67\u0026thinsp;\u0026plusmn;\u0026thinsp;0.76cd\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e15.10\u0026thinsp;\u0026plusmn;\u0026thinsp;0.48cd\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e6.08\u0026thinsp;\u0026plusmn;\u0026thinsp;0.24b\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e7.32\u0026thinsp;\u0026plusmn;\u0026thinsp;0.30bc\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e6.70\u0026thinsp;\u0026plusmn;\u0026thinsp;0.19c\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003e2% Si\u0026thinsp;+\u0026thinsp;RDF\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e13.65\u0026thinsp;\u0026plusmn;\u0026thinsp;0.80bc\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e17.55\u0026thinsp;\u0026plusmn;\u0026thinsp;0.48abc\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e15.60\u0026thinsp;\u0026plusmn;\u0026thinsp;0.61cd\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e6.05\u0026thinsp;\u0026plusmn;\u0026thinsp;0.80b\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e7.30\u0026thinsp;\u0026plusmn;\u0026thinsp;0.73bc\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e6.67\u0026thinsp;\u0026plusmn;\u0026thinsp;0.74c\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003e3% Si\u0026thinsp;+\u0026thinsp;RDF\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e14.13\u0026thinsp;\u0026plusmn;\u0026thinsp;1.10bc\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e17.38\u0026thinsp;\u0026plusmn;\u0026thinsp;1.70bc\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e15.76\u0026thinsp;\u0026plusmn;\u0026thinsp;1.09bc\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e6.20\u0026thinsp;\u0026plusmn;\u0026thinsp;0.23b\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e7.41\u0026thinsp;\u0026plusmn;\u0026thinsp;0.19bc\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e6.80\u0026thinsp;\u0026plusmn;\u0026thinsp;0.19bc\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003e4% Si\u0026thinsp;+\u0026thinsp;RDF\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e16.17\u0026thinsp;\u0026plusmn;\u0026thinsp;0.63a\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e19.32\u0026thinsp;\u0026plusmn;\u0026thinsp;0.74a\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e17.75\u0026thinsp;\u0026plusmn;\u0026thinsp;0.22a\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e7.15\u0026thinsp;\u0026plusmn;\u0026thinsp;0.46a\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e8.39\u0026thinsp;\u0026plusmn;\u0026thinsp;0.52a\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e7.77\u0026thinsp;\u0026plusmn;\u0026thinsp;0.23a\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003e5% Si\u0026thinsp;+\u0026thinsp;RDF\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e15.51\u0026thinsp;\u0026plusmn;\u0026thinsp;1.19ab\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e18.91\u0026thinsp;\u0026plusmn;\u0026thinsp;0.84ab\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e17.21\u0026thinsp;\u0026plusmn;\u0026thinsp;0.60ab\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e6.58\u0026thinsp;\u0026plusmn;\u0026thinsp;0.49ab\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e8.15\u0026thinsp;\u0026plusmn;\u0026thinsp;0.28ab\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e7.36\u0026thinsp;\u0026plusmn;\u0026thinsp;0.24ab\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eSem (\u0026plusmn;)\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e0.61\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e0.59\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e0.48\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0.27\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e0.29\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e0.20\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eCD\u003c/b\u003e \u003cb\u003e(p\u0026thinsp;=\u0026thinsp;0.05)\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e1.87\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e1.81\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e1.48\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0.83\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e0.88\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e0.62\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003c/tbody\u003e\u003c/colgroup\u003e\u003ctfoot\u003e\u003ctr\u003e\u003ctd colspan=\"7\"\u003eValues are presented as mean\u0026thinsp;\u0026plusmn;\u0026thinsp;standard deviation. Means followed by different letters within a column indicate significant differences at \u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026le;\u0026thinsp;0.05.\u003c/td\u003e\u003c/tr\u003e\u003c/tfoot\u003e\u003c/table\u003e\u003c/div\u003e\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec13\" class=\"Section2\"\u003e\u003ch2\u003e3.3. Essential oil recovery and yield\u003c/h2\u003e\u003cp\u003eThe foliar application of Si did not considerably influence the essential oil recovery of patchouli; however, it ranged between 0.31% and 0.34% (Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003e). Although the recovery itself was not significant, the essential oil yield exhibited significant variation, as it was directly influenced by the herbage yield (Table\u0026nbsp;\u003cspan refid=\"Tab4\" class=\"InternalRef\"\u003e4\u003c/span\u003e). Pooled data from two years indicate that a considerable yield of 26.50 L ha⁻\u0026sup1; of essential oil was achieved through the foliar application of 4% Si, in contrast to sole RDF and the control. A marginal increase in essential oil yield was observed in 2023 compared to 2022. In comparisons among different silicon concentrations, the 4% Si spray exhibited notable superiority, resulting in increments of 22.45%, 25.29%, 16.22%, and 10.08% over the 1%, 2%, 3%, and 5% Si applications, respectively.\u003c/p\u003e\u003cp\u003e\u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab4\" border=\"1\"\u003e\u003ccaption language=\"En\"\u003e\u003cdiv class=\"CaptionNumber\"\u003eTable 4\u003c/div\u003e\u003cdiv class=\"CaptionContent\"\u003e\u003cp\u003eEffect of foliar application of silicon on essential oil recovery and yield of \u003cem\u003eA. pallens\u003c/em\u003e\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=\"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\u003cthead\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c1\" morerows=\"1\" rowspan=\"2\"\u003e\u003cp\u003eTreatment\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colspan=\"3\" nameend=\"c4\" namest=\"c2\"\u003e\u003cp\u003eEssential oil recovery (%)\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colspan=\"3\" nameend=\"c7\" namest=\"c5\"\u003e\u003cp\u003eEssential oil yield (kg ha\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e)\u003c/p\u003e\u003c/th\u003e\u003c/tr\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c2\"\u003e\u003cp\u003e2022-23\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c3\"\u003e\u003cp\u003e2023-24\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c4\"\u003e\u003cp\u003ePooled\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c5\"\u003e\u003cp\u003e2022-23\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c6\"\u003e\u003cp\u003e2023-24\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c7\"\u003e\u003cp\u003ePooled\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\u003eControl\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e0.31\u0026thinsp;\u0026plusmn;\u0026thinsp;0.01\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e0.31\u0026thinsp;\u0026plusmn;\u0026thinsp;0.01\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e0.31\u0026thinsp;\u0026plusmn;\u0026thinsp;0.01\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e11.62\u0026thinsp;\u0026plusmn;\u0026thinsp;1.48c\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e13.25\u0026thinsp;\u0026plusmn;\u0026thinsp;0.72d\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e12.43\u0026thinsp;\u0026plusmn;\u0026thinsp;0.97d\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eSole RDF\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e0.33\u0026thinsp;\u0026plusmn;\u0026thinsp;0.01\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e0.32\u0026thinsp;\u0026plusmn;\u0026thinsp;0.01\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e0.32\u0026thinsp;\u0026plusmn;\u0026thinsp;0.01\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e19.58\u0026thinsp;\u0026plusmn;\u0026thinsp;0.96b\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e21.50\u0026thinsp;\u0026plusmn;\u0026thinsp;3.51c\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e20.54\u0026thinsp;\u0026plusmn;\u0026thinsp;1.64c\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003e1% Si\u0026thinsp;+\u0026thinsp;RDF\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e0.32\u0026thinsp;\u0026plusmn;\u0026thinsp;0.01\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e0.32\u0026thinsp;\u0026plusmn;\u0026thinsp;0.02\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e0.32\u0026thinsp;\u0026plusmn;\u0026thinsp;0.02\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e19.66\u0026thinsp;\u0026plusmn;\u0026thinsp;0.62b\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e23.63\u0026thinsp;\u0026plusmn;\u0026thinsp;0.86bc\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e21.64\u0026thinsp;\u0026plusmn;\u0026thinsp;0.51bc\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003e2% Si\u0026thinsp;+\u0026thinsp;RDF\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e0.31\u0026thinsp;\u0026plusmn;\u0026thinsp;0.04\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e0.32\u0026thinsp;\u0026plusmn;\u0026thinsp;0.02\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e0.32\u0026thinsp;\u0026plusmn;\u0026thinsp;0.03\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e19.14\u0026thinsp;\u0026plusmn;\u0026thinsp;4.62b\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e23.17\u0026thinsp;\u0026plusmn;\u0026thinsp;3.38c\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e21.15\u0026thinsp;\u0026plusmn;\u0026thinsp;3.96c\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003e3% Si\u0026thinsp;+\u0026thinsp;RDF\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e0.34\u0026thinsp;\u0026plusmn;\u0026thinsp;0.01\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e0.33\u0026thinsp;\u0026plusmn;\u0026thinsp;0.01\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e0.34\u0026thinsp;\u0026plusmn;\u0026thinsp;0.01\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e21.08\u0026thinsp;\u0026plusmn;\u0026thinsp;1.04b\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e24.69\u0026thinsp;\u0026plusmn;\u0026thinsp;0.39bc\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e22.88\u0026thinsp;\u0026plusmn;\u0026thinsp;0.44bc\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003e4% Si\u0026thinsp;+\u0026thinsp;RDF\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e0.35\u0026thinsp;\u0026plusmn;\u0026thinsp;0.02\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e0.34\u0026thinsp;\u0026plusmn;\u0026thinsp;0.01\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e0.34\u0026thinsp;\u0026plusmn;\u0026thinsp;0.01\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e24.73\u0026thinsp;\u0026plusmn;\u0026thinsp;1.19b\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e28.26\u0026thinsp;\u0026plusmn;\u0026thinsp;2.19ab\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e26.50\u0026thinsp;\u0026plusmn;\u0026thinsp;0.53ab\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003e5% Si\u0026thinsp;+\u0026thinsp;RDF\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e0.32\u0026thinsp;\u0026plusmn;\u0026thinsp;0.01\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e0.33\u0026thinsp;\u0026plusmn;\u0026thinsp;0.01\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e0.33\u0026thinsp;\u0026plusmn;\u0026thinsp;0.01\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e21.03\u0026thinsp;\u0026plusmn;\u0026thinsp;1.49a\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e26.91\u0026thinsp;\u0026plusmn;\u0026thinsp;1.55a\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e23.97\u0026thinsp;\u0026plusmn;\u0026thinsp;1.34a\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eSem (\u0026plusmn;)\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e0.01\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e0.01\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e0.01\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e1.23\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e1.13\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e0.97\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eCD\u003c/b\u003e \u003cb\u003e(p\u0026thinsp;=\u0026thinsp;0.05)\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eNS\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eNS\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eNS\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e3.79\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e3.47\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e2.97\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003c/tbody\u003e\u003c/colgroup\u003e\u003ctfoot\u003e\u003ctr\u003e\u003ctd colspan=\"7\"\u003eValues are presented as mean\u0026thinsp;\u0026plusmn;\u0026thinsp;standard deviation. Means followed by different letters within a column indicate significant differences at \u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026le;\u0026thinsp;0.05. 'NS' indicates non-significant differences.\u003c/td\u003e\u003c/tr\u003e\u003c/tfoot\u003e\u003c/table\u003e\u003c/div\u003e\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec14\" class=\"Section2\"\u003e\u003ch2\u003e3.4. Essential oil profile\u003c/h2\u003e\u003cp\u003eThe percentage composition of compounds across treatments showed varying trends (Table\u0026nbsp;\u003cspan refid=\"Tab5\" class=\"InternalRef\"\u003e5\u003c/span\u003e) but did not record significant variation. Cis-davanone was the dominant compound, with the highest percentage (45.96\u0026ndash;49.86%) across all treatments, and its concentration was slightly higher in the treatment with 4% Si application (49.86%). Davana ether (Isomer-1) exhibited a progressive increase, peaking at 5% Si treatment (14.16%), while Davana ether (Isomer-2) remained relatively stable with minor variations. Bicyclogermacne displayed a decreasing trend, with the lowest value in 4% Si treatment (5.79%). Humulene epoxide-II showed a slight increase, reaching its maximum in 2% Si (5.27%) treatment, which was closely followed by 4% Si application (5.19%). Cis-methyl jasmonate and Davanol acetate remained low with minimal variation across treatments. Cis\u003cb\u003e-\u003c/b\u003ehydroxy davanone showed a declining trend from control to 2% Si application, followed by a slight recovery in 4% Si application. Trans-davanone\u0026thinsp;+\u0026thinsp;Trans-nerolidol fluctuated slightly without a clear trend. Overall, Cis-davanone dominated the composition, while other compounds exhibited treatment-specific variations.\u003c/p\u003e\u003cp\u003e\u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab5\" border=\"1\"\u003e\u003ccaption language=\"En\"\u003e\u003cdiv class=\"CaptionNumber\"\u003eTable 5\u003c/div\u003e\u003cdiv class=\"CaptionContent\"\u003e\u003cp\u003eComposition of \u003cem\u003eA. pallens\u003c/em\u003e essential oil due to foliar application of silicon\u003c/p\u003e\u003c/div\u003e\u003c/caption\u003e\u003ccolgroup cols=\"8\"\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\"\u0026plusmn;\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\"\u0026plusmn;\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\"\u0026plusmn;\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\"\u0026plusmn;\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\"\u0026plusmn;\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\"\u0026plusmn;\" class=\"colspec\" colname=\"c7\" colnum=\"7\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\"\u0026plusmn;\" class=\"colspec\" colname=\"c8\" colnum=\"8\"\u003e\u003c/div\u003e\u003cthead\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c1\"\u003e\u003cp\u003eCompounds\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c2\"\u003e\u003cp\u003eT\u003csub\u003e1\u003c/sub\u003e\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c3\"\u003e\u003cp\u003eT\u003csub\u003e2\u003c/sub\u003e\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c4\"\u003e\u003cp\u003eT\u003csub\u003e3\u003c/sub\u003e\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c5\"\u003e\u003cp\u003eT\u003csub\u003e4\u003c/sub\u003e\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c6\"\u003e\u003cp\u003eT\u003csub\u003e5\u003c/sub\u003e\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c7\"\u003e\u003cp\u003eT\u003csub\u003e6\u003c/sub\u003e\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c8\"\u003e\u003cp\u003eT\u003csub\u003e7\u003c/sub\u003e\u003c/p\u003e\u003c/th\u003e\u003c/tr\u003e\u003c/thead\u003e\u003ctbody\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eBicyclogermacrene\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c2\"\u003e\u003cp\u003e8.18\u0026thinsp;\u0026plusmn;\u0026thinsp;0.18\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c3\"\u003e\u003cp\u003e8.70\u0026thinsp;\u0026plusmn;\u0026thinsp;0.19\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c4\"\u003e\u003cp\u003e7.82\u0026thinsp;\u0026plusmn;\u0026thinsp;0.18\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c5\"\u003e\u003cp\u003e7.49\u0026thinsp;\u0026plusmn;\u0026thinsp;0.26\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c6\"\u003e\u003cp\u003e7.49\u0026thinsp;\u0026plusmn;\u0026thinsp;0.27\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c7\"\u003e\u003cp\u003e5.79\u0026thinsp;\u0026plusmn;\u0026thinsp;0.33\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c8\"\u003e\u003cp\u003e7.19\u0026thinsp;\u0026plusmn;\u0026thinsp;0.02\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eDavana ether (Isomer \u0026minus;\u0026thinsp;1)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c2\"\u003e\u003cp\u003e9.78\u0026thinsp;\u0026plusmn;\u0026thinsp;0.39\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c3\"\u003e\u003cp\u003e10.93\u0026thinsp;\u0026plusmn;\u0026thinsp;0.35\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c4\"\u003e\u003cp\u003e11.48\u0026thinsp;\u0026plusmn;\u0026thinsp;0.48\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c5\"\u003e\u003cp\u003e13.07\u0026thinsp;\u0026plusmn;\u0026thinsp;0.57\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c6\"\u003e\u003cp\u003e12.35\u0026thinsp;\u0026plusmn;\u0026thinsp;0.23\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c7\"\u003e\u003cp\u003e11.96\u0026thinsp;\u0026plusmn;\u0026thinsp;0.20\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c8\"\u003e\u003cp\u003e14.16\u0026thinsp;\u0026plusmn;\u0026thinsp;0.57\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eDavana ether (Isomer \u0026minus;\u0026thinsp;2)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c2\"\u003e\u003cp\u003e3.32\u0026thinsp;\u0026plusmn;\u0026thinsp;0.08\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c3\"\u003e\u003cp\u003e3.48\u0026thinsp;\u0026plusmn;\u0026thinsp;0.12\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c4\"\u003e\u003cp\u003e3.60\u0026thinsp;\u0026plusmn;\u0026thinsp;0.70\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c5\"\u003e\u003cp\u003e3.51\u0026thinsp;\u0026plusmn;\u0026thinsp;0.21\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c6\"\u003e\u003cp\u003e3.47\u0026thinsp;\u0026plusmn;\u0026thinsp;0.43\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c7\"\u003e\u003cp\u003e3.08\u0026thinsp;\u0026plusmn;\u0026thinsp;0.07\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c8\"\u003e\u003cp\u003e3.89\u0026thinsp;\u0026plusmn;\u0026thinsp;0.13\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eTrans-davanone\u0026thinsp;+\u0026thinsp;Trans-nerolidol\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c2\"\u003e\u003cp\u003e1.88\u0026thinsp;\u0026plusmn;\u0026thinsp;0.01\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c3\"\u003e\u003cp\u003e1.43\u0026thinsp;\u0026plusmn;\u0026thinsp;0.08\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c4\"\u003e\u003cp\u003e1.37\u0026thinsp;\u0026plusmn;\u0026thinsp;0.06\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c5\"\u003e\u003cp\u003e1.85\u0026thinsp;\u0026plusmn;\u0026thinsp;0.08\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c6\"\u003e\u003cp\u003e1.50\u0026thinsp;\u0026plusmn;\u0026thinsp;0.06\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c7\"\u003e\u003cp\u003e1.82\u0026thinsp;\u0026plusmn;\u0026thinsp;0.03\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c8\"\u003e\u003cp\u003e1.50\u0026thinsp;\u0026plusmn;\u0026thinsp;0.02\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eCis-davanone\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c2\"\u003e\u003cp\u003e46.54\u0026thinsp;\u0026plusmn;\u0026thinsp;1.47\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c3\"\u003e\u003cp\u003e48.01\u0026thinsp;\u0026plusmn;\u0026thinsp;2.41\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c4\"\u003e\u003cp\u003e47.65\u0026thinsp;\u0026plusmn;\u0026thinsp;1.29\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c5\"\u003e\u003cp\u003e48.87\u0026thinsp;\u0026plusmn;\u0026thinsp;1.10\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c6\"\u003e\u003cp\u003e48.04\u0026thinsp;\u0026plusmn;\u0026thinsp;1.34\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c7\"\u003e\u003cp\u003e49.86\u0026thinsp;\u0026plusmn;\u0026thinsp;1.83\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c8\"\u003e\u003cp\u003e45.96\u0026thinsp;\u0026plusmn;\u0026thinsp;1.33\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eHumulene epoxide - II\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c2\"\u003e\u003cp\u003e3.57\u0026thinsp;\u0026plusmn;\u0026thinsp;0.08\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c3\"\u003e\u003cp\u003e4.28\u0026thinsp;\u0026plusmn;\u0026thinsp;0.16\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c4\"\u003e\u003cp\u003e4.63\u0026thinsp;\u0026plusmn;\u0026thinsp;0.02\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c5\"\u003e\u003cp\u003e5.27\u0026thinsp;\u0026plusmn;\u0026thinsp;0.13\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c6\"\u003e\u003cp\u003e5.10\u0026thinsp;\u0026plusmn;\u0026thinsp;0.12\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c7\"\u003e\u003cp\u003e5.19\u0026thinsp;\u0026plusmn;\u0026thinsp;0.16\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c8\"\u003e\u003cp\u003e4.61\u0026thinsp;\u0026plusmn;\u0026thinsp;0.15\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eEpi-alpha-cadinol\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c2\"\u003e\u003cp\u003e3.04\u0026thinsp;\u0026plusmn;\u0026thinsp;0.03\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c3\"\u003e\u003cp\u003e2.36\u0026thinsp;\u0026plusmn;\u0026thinsp;0.06\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c4\"\u003e\u003cp\u003e2.54\u0026thinsp;\u0026plusmn;\u0026thinsp;0.03\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c5\"\u003e\u003cp\u003e3.49\u0026thinsp;\u0026plusmn;\u0026thinsp;0.03\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c6\"\u003e\u003cp\u003e2.28\u0026thinsp;\u0026plusmn;\u0026thinsp;0.07\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c7\"\u003e\u003cp\u003e2.13\u0026thinsp;\u0026plusmn;\u0026thinsp;0.11\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c8\"\u003e\u003cp\u003e2.31\u0026thinsp;\u0026plusmn;\u0026thinsp;0.04\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eCis-methyl jasmonate\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c2\"\u003e\u003cp\u003e2.12\u0026thinsp;\u0026plusmn;\u0026thinsp;0.03\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c3\"\u003e\u003cp\u003e1.72\u0026thinsp;\u0026plusmn;\u0026thinsp;0.05\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c4\"\u003e\u003cp\u003e1.98\u0026thinsp;\u0026plusmn;\u0026thinsp;0.05\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c5\"\u003e\u003cp\u003e2.17\u0026thinsp;\u0026plusmn;\u0026thinsp;0.04\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c6\"\u003e\u003cp\u003e2.58\u0026thinsp;\u0026plusmn;\u0026thinsp;0.08\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c7\"\u003e\u003cp\u003e1.79\u0026thinsp;\u0026plusmn;\u0026thinsp;0.04\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c8\"\u003e\u003cp\u003e1.91\u0026thinsp;\u0026plusmn;\u0026thinsp;0.01\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eDavanol acetate\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c2\"\u003e\u003cp\u003e0.70\u0026thinsp;\u0026plusmn;\u0026thinsp;0.01\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c3\"\u003e\u003cp\u003e0.71\u0026thinsp;\u0026plusmn;\u0026thinsp;0.03\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c4\"\u003e\u003cp\u003e0.74\u0026thinsp;\u0026plusmn;\u0026thinsp;0.03\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c5\"\u003e\u003cp\u003e0.77\u0026thinsp;\u0026plusmn;\u0026thinsp;0.03\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c6\"\u003e\u003cp\u003e0.68\u0026thinsp;\u0026plusmn;\u0026thinsp;0.06\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c7\"\u003e\u003cp\u003e0.72\u0026thinsp;\u0026plusmn;\u0026thinsp;0.03\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c8\"\u003e\u003cp\u003e0.56\u0026thinsp;\u0026plusmn;\u0026thinsp;0.01\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eCis-hydroxy davanone\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c2\"\u003e\u003cp\u003e2.46\u0026thinsp;\u0026plusmn;\u0026thinsp;0.09\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c3\"\u003e\u003cp\u003e1.43\u0026thinsp;\u0026plusmn;\u0026thinsp;0.05\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c4\"\u003e\u003cp\u003e1.39\u0026thinsp;\u0026plusmn;\u0026thinsp;0.03\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c5\"\u003e\u003cp\u003e1.06\u0026thinsp;\u0026plusmn;\u0026thinsp;0.04\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c6\"\u003e\u003cp\u003e1.58\u0026thinsp;\u0026plusmn;\u0026thinsp;0.03\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c7\"\u003e\u003cp\u003e2.15\u0026thinsp;\u0026plusmn;\u0026thinsp;0.03\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c8\"\u003e\u003cp\u003e1.52\u0026thinsp;\u0026plusmn;\u0026thinsp;0.03\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003c/tbody\u003e\u003c/colgroup\u003e\u003ctfoot\u003e\u003ctr\u003e\u003ctd colspan=\"8\"\u003eNote; \u003cb\u003eT\u003c/b\u003e\u003csub\u003e\u003cb\u003e1\u003c/b\u003e\u003c/sub\u003e-Control; \u003cb\u003eT\u003c/b\u003e\u003csub\u003e\u003cb\u003e2\u003c/b\u003e\u003c/sub\u003e-Sole RDF; \u003cb\u003eT\u003c/b\u003e\u003csub\u003e\u003cb\u003e3\u003c/b\u003e\u003c/sub\u003e-1% Si\u0026thinsp;+\u0026thinsp;RDF; \u003cb\u003eT\u003c/b\u003e\u003csub\u003e\u003cb\u003e4\u003c/b\u003e\u003c/sub\u003e-2% Si\u0026thinsp;+\u0026thinsp;RDF; \u003cb\u003eT\u003c/b\u003e\u003csub\u003e\u003cb\u003e5\u003c/b\u003e\u003c/sub\u003e-3% Si\u0026thinsp;+\u0026thinsp;RDF; \u003cb\u003eT\u003c/b\u003e\u003csub\u003e\u003cb\u003e6\u003c/b\u003e\u003c/sub\u003e-4% Si\u0026thinsp;+\u0026thinsp;RDF; \u003cb\u003eT\u003c/b\u003e\u003csub\u003e\u003cb\u003e7\u003c/b\u003e\u003c/sub\u003e-5% Si\u0026thinsp;+\u0026thinsp;RDF\u003c/td\u003e\u003c/tr\u003e\u003c/tfoot\u003e\u003c/table\u003e\u003c/div\u003e\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec15\" class=\"Section2\"\u003e\u003ch2\u003e3.5. Economic analysis\u003c/h2\u003e\u003cp\u003eThe economic analysis revealed significant variations among treatments in terms of cost of cultivation, gross income, net income, and benefit-cost ratio (BCR) across both years and on a pooled basis (Table\u0026nbsp;\u003cspan refid=\"Tab6\" class=\"InternalRef\"\u003e6\u003c/span\u003e and Fig.\u0026nbsp;\u003cspan refid=\"Fig2\" class=\"InternalRef\"\u003e2\u003c/span\u003e). The cost of cultivation increased with higher silicon levels, from US\u003cspan\u003e$\u003c/span\u003e 1,457.79 ha⁻\u0026sup1; in the control to US\u003cspan\u003e$\u003c/span\u003e 1,778.56 ha⁻\u0026sup1; under 5% Si\u0026thinsp;+\u0026thinsp;RDF. Gross and net incomes were highest in the 4% Si\u0026thinsp;+\u0026thinsp;RDF treatment (US\u003cspan\u003e$\u003c/span\u003e 6,114.92 and US\u003cspan\u003e$\u003c/span\u003e 4,388.28 ha⁻\u0026sup1;, respectively), and lowest in the control. The pooled BCR also peaked at RDF\u0026thinsp;+\u0026thinsp;4% Si (above 2.5), indicating maximum economic efficiency. Although 5% Si\u0026thinsp;+\u0026thinsp;RDF improved gross income, it yielded lower net returns and BCR than 4% Si, suggesting diminishing returns beyond this level. Overall, 4% Si\u0026thinsp;+\u0026thinsp;RDF was the most economically viable treatment, offering the highest profitability and return on investment in \u003cem\u003eA. pallens\u003c/em\u003e cultivation under the given conditions.\u003c/p\u003e\u003cp\u003e\u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab6\" border=\"1\"\u003e\u003ccaption language=\"En\"\u003e\u003cdiv class=\"CaptionNumber\"\u003eTable 6\u003c/div\u003e\u003cdiv class=\"CaptionContent\"\u003e\u003cp\u003eEconomic assessment of \u003cem\u003eA. pallens\u003c/em\u003e cultivation under foliar application of silicon.\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=\"char\" char=\".\" 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\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c8\" colnum=\"8\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c9\" colnum=\"9\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c10\" colnum=\"10\"\u003e\u003c/div\u003e\u003cthead\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c1\" morerows=\"1\" rowspan=\"2\"\u003e\u003cp\u003eTreatment\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colspan=\"3\" nameend=\"c4\" namest=\"c2\"\u003e\u003cp\u003eCost of cultivation (US\u003cspan\u003e$\u003c/span\u003e)\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colspan=\"3\" nameend=\"c7\" namest=\"c5\"\u003e\u003cp\u003eGross Income (US\u003cspan\u003e$\u003c/span\u003e)\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colspan=\"3\" nameend=\"c10\" namest=\"c8\"\u003e\u003cp\u003eNet Income (US\u003cspan\u003e$\u003c/span\u003e)\u003c/p\u003e\u003c/th\u003e\u003c/tr\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c2\"\u003e\u003cp\u003e2022-23\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c3\"\u003e\u003cp\u003e2023-24\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c4\"\u003e\u003cp\u003ePooled\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c5\"\u003e\u003cp\u003e2022-23\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c6\"\u003e\u003cp\u003e2023-24\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c7\"\u003e\u003cp\u003ePooled\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c8\"\u003e\u003cp\u003e2022-23\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c9\"\u003e\u003cp\u003e2023-24\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c10\"\u003e\u003cp\u003ePooled\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\u003eControl\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e1448.36\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e1467.22\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e1457.79\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e2680.67\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e3058.25\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e2869.46\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e1232.31\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e1591.03\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e1411.67\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eSole RDF\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e1509.53\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e1528.39\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e1518.96\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e4518.60\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e4962.41\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e4740.50\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e3009.07\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e3434.02\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e3221.54\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003e1% Si\u0026thinsp;+\u0026thinsp;RDF\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e1561.45\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e1580.31\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e1570.88\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e4536.06\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e5453.22\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e4994.64\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e2974.61\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e3872.91\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e3423.76\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003e2% Si\u0026thinsp;+\u0026thinsp;RDF\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e1613.37\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e1632.23\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e1622.80\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e4392.52\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e5345.64\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e4869.08\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e2779.15\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e3713.41\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e3246.28\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003e3% Si\u0026thinsp;+\u0026thinsp;RDF\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e1665.29\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e1684.15\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e1674.72\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e4864.74\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e5695.06\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e5279.90\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e3199.45\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e4010.90\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e3605.17\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003e4% Si\u0026thinsp;+\u0026thinsp;RDF\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e1717.21\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e1736.08\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e1726.64\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e5707.47\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e6522.36\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e6114.92\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e3990.26\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e4786.29\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e4388.28\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003e5% Si\u0026thinsp;+\u0026thinsp;RDF\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e1769.13\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e1788.00\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e1778.56\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e4853.89\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e6208.74\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e5531.32\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e3084.76\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e4420.75\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e3752.75\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\u003cdiv id=\"Sec16\" class=\"Section2\"\u003e\u003ch2\u003e3.6. Efficiency analysis\u003c/h2\u003e\u003cp\u003eThe effectiveness of foliar silicon application was further evaluated using various indices, including production efficiency (Fig.\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e3\u003c/span\u003e) and economic efficiency (Fig.\u0026nbsp;\u003cspan refid=\"Fig4\" class=\"InternalRef\"\u003e4\u003c/span\u003e). The application of 4% Si demonstrated superior crop performance, achieving a production efficiency of 0.20 L ha⁻\u0026sup1; day⁻\u0026sup1;, which was significantly higher than that of sole RDF (0.16 L ha⁻\u0026sup1; day⁻\u0026sup1;) and other Si concentrations. The 4% Si foliar spray proved economically viable for \u003cem\u003eA. pallens\u003c/em\u003e, exhibiting the highest economic efficiency (33.75 US\u003cspan\u003e$\u003c/span\u003e ha⁻\u0026sup1; day⁻\u0026sup1;) among all treatments. These findings highlight the potential of silicon application as a highly effective and sustainable strategy for optimizing \u003cem\u003eA. pallens\u003c/em\u003e production.\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec17\" class=\"Section2\"\u003e\u003ch2\u003e3.7. Biosynthetic linkages of A. pallens essential oil compounds: insights from correlation analysis\u003c/h2\u003e\u003cp\u003eThe biosynthetic linkages among various compounds in \u003cem\u003eArtemisia pallens\u003c/em\u003e essential oil were analyzed using a correlation matrix (Fig.\u0026nbsp;\u003cspan refid=\"Fig5\" class=\"InternalRef\"\u003e5\u003c/span\u003e). The results reveal both positive and negative associations among the compounds. A strong positive correlation (0.69) between \u003cem\u003eCis\u003c/em\u003e\u003cb\u003e-\u003c/b\u003edavanone and Davanol acetate suggests their potential co-occurrence in the essential oil composition. Similarly, Davana ether Isomers-1 and \u0026minus;\u0026thinsp;2 exhibit a positive correlation (0.57), indicating a shared biosynthetic pathway. However, these isomers show inverse relationships with Trans-davanone\u0026thinsp;+\u0026thinsp;Trans-nerolidol and Davanol acetate, suggesting metabolic divergence. A particularly strong negative correlation (-0.84) was observed between Cis-hydroxy davanone and Humulene epoxide-II, implying that an increase in one leads to a significant decrease in the other. Additionally, Humulene epoxide-II exhibits strong positive correlations with Davana ether (Isomer-1) and Cis-methyl jasmonate, indicating possible co-expression or biosynthetic linkage. The observed correlation patterns highlight potential metabolic trade-offs and competition in essential oil biosynthesis, shaping the overall chemical composition of \u003cem\u003eA. pallens\u003c/em\u003e oil.\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec18\" class=\"Section2\"\u003e\u003ch2\u003e3.8. Principle component analysis.\u003c/h2\u003e\u003cp\u003eThe Principal Component Analysis (PCA) was conducted to determine the optimal silicon concentration for enhancing the performance of \u003cem\u003eA. pallens\u003c/em\u003e (Fig.\u0026nbsp;\u003cspan refid=\"Fig6\" class=\"InternalRef\"\u003e6\u003c/span\u003e). PC1 (72.3%) accounts for the majority of the variance, indicating that most of the differences in \u003cem\u003eA. pallens\u003c/em\u003e response are influenced by factors along this axis, while PC2 (10.2%) captures additional, though comparatively smaller, variations. The clear separation between the control and silicon-treated groups suggests that silicon significantly impacted the metabolic and physiological process of \u003cem\u003eA. pallens\u003c/em\u003e. Higher silicon treatments (4\u0026ndash;5% Si) exhibit distinct effects on growth, yield, and secondary metabolite production, setting them apart from lower silicon levels. PCA results indicate that moderate silicon application (3\u0026ndash;4%) enhanced the performance of \u003cem\u003eA. pallens\u003c/em\u003e, as reflected in the clustering patterns. This suggests unique metabolic and physiological shifts, potentially optimizing yield, while also influencing plant chemistry. The control group (without silicon) is distinctly different from all Si-treated groups, reinforcing the positive role of silicon in improving \u003cem\u003eA. pallens\u003c/em\u003e cultivation.\u003c/p\u003e\u003c/div\u003e"},{"header":"4. Discussion","content":"\u003cp\u003eProficient management of beneficial elements like silicon is imperative for crop productivity under critical conditions. Silicon was preferably applied through foliar spraying due to its limited mobility within the soil, low solubility and tendency to become immobilized in soil particles can restrict its availability to plant roots [\u003cspan citationid=\"CR32\" class=\"CitationRef\"\u003e32\u003c/span\u003e]. Silicon significantly enhances the physiological and morphological characteristics of crops. Silicon, though not considered an essential nutrient for most plants, plays a crucial role in enhancing stress tolerance, improving water-use efficiency, regulating reactive oxygen species, alleviation of water stress, and boosting plant growth and productivity, especially under suboptimal growing conditions [\u003cspan additionalcitationids=\"CR34\" citationid=\"CR33\" class=\"CitationRef\"\u003e33\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR35\" class=\"CitationRef\"\u003e35\u003c/span\u003e].\u003c/p\u003e\u003cp\u003eOur findings align with previous research demonstrating silicon's beneficial effects on plants exposed to various abiotic and biotic stresses, such as drought, salinity, and pathogen attack [\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e, \u003cspan citationid=\"CR36\" class=\"CitationRef\"\u003e36\u003c/span\u003e]. Previous research has also demonstrated that silicon in the form of sodium and potassium silicate, stabilized with sorbitol, performed best at a concentration of 0.8 g L\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e of Si which outperformed other sources, including mono silicic acid stabilized with PEG400 (SiAc), nano silica (Nano), and potassium silicate without stabilizers (SiK) in cotton [\u003cspan citationid=\"CR37\" class=\"CitationRef\"\u003e37\u003c/span\u003e]. In present study, the foliar application of 4% silicon combined with RDF was found to be significantly superior in enhancing the growth attributes of \u003cem\u003eA. pallens\u003c/em\u003e. These findings highlight the potential of silicon applications to enhance \u003cem\u003eA. pallens\u003c/em\u003e productivity. This stimulatory effect may be attributed to the role of silicon in strengthening plant cell walls, boosting photosynthetic efficiency, and enhancing water and nutrient uptake [\u003cspan citationid=\"CR38\" class=\"CitationRef\"\u003e38\u003c/span\u003e].\u003c/p\u003e\u003cp\u003eRecent studies have shown that silicon (Si) enhances cytokinin biosynthesis in both sorghum and arabidopsis [\u003cspan citationid=\"CR39\" class=\"CitationRef\"\u003e39\u003c/span\u003e]. Cytokinin stimulates cell division during the proliferation stage and promotes cell expansion during the expansion stage. During leaf senescence, cytokinin helps reduce sugar accumulation, boost chlorophyll synthesis, and extend the photosynthetic period of the leaf [\u003cspan citationid=\"CR40\" class=\"CitationRef\"\u003e40\u003c/span\u003e] thus expanding the growing days of the plant. Additionally, Silicon treatment has been demonstrated to strengthen the stem by increasing silica deposition, thickening the culm wall and vascular bundles, and improving overall stem stability [\u003cspan citationid=\"CR41\" class=\"CitationRef\"\u003e41\u003c/span\u003e]. Silicon also helps mitigate stress factors such as drought, pests, and diseases, allowing the plant to allocate more resources to growth [\u003cspan citationid=\"CR42\" class=\"CitationRef\"\u003e42\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR43\" class=\"CitationRef\"\u003e43\u003c/span\u003e]. Specifically, Silicon helps to decrease plant transpiration rates, enhancing resilience against water scarcity, high temperatures, and humidity, thus improving crop performance in the field [44\u0026thinsp;\u0026minus;\u0026thinsp;36]. Combined with RDF, these benefits are likely amplified, leading to more robust and vigorous plant growth.\u003c/p\u003e\u003cp\u003eConsistent with the present study, silicon application at 300 ppm in wheat [\u003cspan citationid=\"CR47\" class=\"CitationRef\"\u003e47\u003c/span\u003e], soil application of 25 kg ha⁻\u0026sup1; combined with foliar application of 0.25% in soybean [\u003cspan citationid=\"CR48\" class=\"CitationRef\"\u003e48\u003c/span\u003e], and foliar application of 0.2% silicic acid at the knee-high and tassel initiation stages in maize [\u003cspan citationid=\"CR32\" class=\"CitationRef\"\u003e32\u003c/span\u003e] significantly improved growth attributes. A 45% increase in shoot biomass of tef with the application of 4 mM silicon [\u003cspan citationid=\"CR49\" class=\"CitationRef\"\u003e49\u003c/span\u003e] and a 53% increase in rice yield under foliar silicon application [\u003cspan citationid=\"CR50\" class=\"CitationRef\"\u003e50\u003c/span\u003e] were recorded, thereby demonstrating its effectiveness in enhancing crop productivity. The significant and vigorous growth seen in silicon-treated plants is associated with enhanced nitrogen uptake, as silicon has been shown to promote nitrogen absorption in plants [\u003cspan citationid=\"CR51\" class=\"CitationRef\"\u003e51\u003c/span\u003e].\u003c/p\u003e\u003cp\u003eThe application of silicon at 4% with RDF was also effective in enhancing herbage yield, flower diameter, and essential oil yield, although it did not significantly impact essential oil recovery. However, a slight increase in recovery was observed with this treatment. Although the role of silicon in essential oil (EO) biosynthesis in medicinal herbs is not yet fully understood, it may be partially explained by the fact that EO production is regulated by various endogenous signalling pathways [\u003cspan citationid=\"CR52\" class=\"CitationRef\"\u003e52\u003c/span\u003e]. Recently, from the molecular point of view, silicon has emerged as an important signalling molecule in the elicitor-induced biosynthesis of secondary metabolites in plants, potentially leading to multiple transcriptional changes. The increase in EO yield with silicon application could also be attributed to enhanced growth cycles, improved nutrient uptake, or changes in the population of oil glands on leaves [\u003cspan citationid=\"CR53\" class=\"CitationRef\"\u003e53\u003c/span\u003e]. Silicon has a significant impact on increasing chlorophyll content, which enhances light interception and photosynthesis, facilitating greater dry matter assimilation and ultimately leading to higher yields in treated plants [\u003cspan citationid=\"CR48\" class=\"CitationRef\"\u003e48\u003c/span\u003e, \u003cspan citationid=\"CR54\" class=\"CitationRef\"\u003e54\u003c/span\u003e]. Additionally, chlorophyll content was doubled with Si application at a concentration of 1.0mM in tef [\u003cspan citationid=\"CR49\" class=\"CitationRef\"\u003e49\u003c/span\u003e]. The study on oil palm also reported that silicon application positively correlated with chlorophyll content [\u003cspan citationid=\"CR51\" class=\"CitationRef\"\u003e51\u003c/span\u003e]. Chlorophyll is an important pigment in photon absorption, transmission, and transportation and is closely related to the photosynthesis and accumulation of dry matter in plants [\u003cspan citationid=\"CR55\" class=\"CitationRef\"\u003e55\u003c/span\u003e]. The significant improvement in rice yield attributes with the soil application of CaSiO₃ at 500 kg Si ha⁻\u0026sup1; [\u003cspan citationid=\"CR56\" class=\"CitationRef\"\u003e56\u003c/span\u003e] and with 100 ppm Si application [\u003cspan citationid=\"CR57\" class=\"CitationRef\"\u003e57\u003c/span\u003e] is consistent with the findings of the present investigation. Further unlike present study, comparable yield enhancements were observed in cantaloupe, wheat and olive [\u003cspan additionalcitationids=\"CR59\" citationid=\"CR58\" class=\"CitationRef\"\u003e58\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR60\" class=\"CitationRef\"\u003e60\u003c/span\u003e] up on foliar application of silicon. The increase in yield may be attributed to enhanced photosynthate partitioning and improved nutrient utilization mediated by silicon, as evidenced in soybean where foliar application of silicic acid at 2 mL L⁻\u0026sup1; (three times) for the long-duration variety (MAUS-2) and 4 mL L⁻\u0026sup1; (two times) for the short-duration variety (KBS-23) significantly improved performance [\u003cspan citationid=\"CR61\" class=\"CitationRef\"\u003e61\u003c/span\u003e].\u003c/p\u003e\u003cp\u003eBeyond these parameters, efficacy indices such as production efficiency and economic efficiency potentially reveal deeper insights into the role of silicon as a beneficial element for enhancing the cultivation performance of \u003cem\u003eA. pallens\u003c/em\u003e. Foliar application of silicon (Si) proved agronomically effective in cotton, as it enhanced Si accumulation, pigment synthesis, and photosystem II quantum efficiency, while simultaneously reducing initial and maximum fluorescence [\u003cspan citationid=\"CR37\" class=\"CitationRef\"\u003e37\u003c/span\u003e]. These effects collectively lead to increased dry matter yield in crops and enhance the effectiveness of silicon in promoting the growth and development of \u003cem\u003eA. pallens.\u003c/em\u003e\u003c/p\u003e\u003cp\u003eThe increase in herbage yield due to silicon application led to a corresponding rise in essential oil yield, making silicon a profitable input for \u003cem\u003eA. pallens\u003c/em\u003e. This was reflected in a higher benefit-cost (B:C) ratio in silicon-treated plots compared to those receiving only the recommended dose of fertilizers (RDF) and the control. Consistent with the present findings, application of silicon at 120 kg ha⁻\u0026sup1; was found economically beneficial for rice cultivation with B:C ratio of 1.38 [\u003cspan citationid=\"CR62\" class=\"CitationRef\"\u003e62\u003c/span\u003e]. Similarly, the application of 2.0 g Si L⁻\u0026sup1; in common bean resulted in differential profits of up to US\u003cspan\u003e$\u003c/span\u003e 236.72 [\u003cspan citationid=\"CR63\" class=\"CitationRef\"\u003e63\u003c/span\u003e].\u003c/p\u003e\u003cp\u003eOverall, silicon fertilization at specific rates demonstrated stimulatory effects on the growth and development of \u003cem\u003eA. pallens\u003c/em\u003e. The beneficial impact of silicon on \u003cem\u003eArtemisia\u003c/em\u003e can support increased essential oil production to meet rising demand. Further research into the metabolic roles of silicon as a nutrient and its interactions with other nutrients and hormonal supplements under varying growth conditions could contribute to more effective nutrient management in \u003cem\u003eA. pallens\u003c/em\u003e.\u003c/p\u003e"},{"header":"5. Conclusion","content":"\u003cp\u003eFoliar application of silicon demonstrated substantial influence on the field performance and productivity of \u003cem\u003eA. pallens\u003c/em\u003e. Among the different silicon concentrations tested, 4% Si emerged as the most effective treatment, significantly improving growth and herbage yield. The superior yield performance observed under the 4% Si treatment was further evidenced by a significant increase in essential oil yield, although the oil recovery percentage remained statistically unaffected. Overall, the study underscores the potential of silicon application in enhancing the agronomic and economic viability of \u003cem\u003eA. pallens\u003c/em\u003e cultivation. This application strategy proves to be a sustainable and effective approach for optimizing growth, yield, and essential oil productivity, making it a promising agronomic intervention for improving crop performance.\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eAcknowledgment:\u0026nbsp;\u003c/strong\u003eThe authors express their gratitude to the Director of CSIR-Central Institute of Medicinal and Aromatic Plants, Lucknow, India,\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eDeclaration of conflicting interest:\u0026nbsp;\u003c/strong\u003eThe authors confirm that they have no conflicts of interest to disclose.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eData availability statement:\u0026nbsp;\u003c/strong\u003eSupporting data are available from the corresponding author on reasonable request\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFunding Declaration:\u0026nbsp;\u003c/strong\u003eNo funding was received for conducting this study\u003c/p\u003e\u003ch2\u003eAuthor Contribution\u003c/h2\u003e\u003cp\u003eYND - Conceptualization, investigation, supervision, manuscript review, and correction; PKM - Methodology, investigation, data recording, statistical analysis, and original manuscript writing; PVS - Manuscript review, and correction, GC and GC-MS analysis; PNB- Resource, manuscript review, and correction.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n\u003cli\u003eMa JF, Yamaji N (2006) Silicon uptake and accumulation in higher plants. 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Silicon 14:4169\u0026ndash;4181. https://doi.org/10.1007/s12633-021-01208-y\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":"silicon","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"scon","sideBox":"Learn more about [Silicon](https://www.springer.com/journal/12633)","snPcode":"12633","submissionUrl":"https://submission.nature.com/new-submission/12633/3","title":"Silicon","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"em","reportingPortfolio":"Springer Hybrid","inReviewEnabled":true,"inReviewRevisionsEnabled":false},"keywords":"Aromatic herb, Cis-davanone, Economic viability, Herbage yield, Plant nutrient","lastPublishedDoi":"10.21203/rs.3.rs-7487555/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-7487555/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eSilicon has gained recognition for its crucial role in plant nutrition across various crops. However, its impact on medicinal and aromatic plants remains underexplored. Therefore, a field study was conducted at CSIR-Central Institute of Medicinal and Aromatic Plants Research Centre, Bengaluru, during 2022-23 and 2023-24 to determine the optimal silicon (Si) concentration for enhancing the productivity and essential oil quality of \u003cem\u003eArtemisia pallens\u003c/em\u003e through foliar application. Results revealed that growth attributes, including plant height (44.67cm), number of branches (26.15), and stem girth (0.87cm), were significantly enhanced at 4% Si application, surpassing the control and recommended dose of fertilizer (RDF) alone. Yield attributes followed a similar trend, with the highest flower diameter (4.90mm) and fresh (17.75t ha⁻\u0026sup1;) and dry (7.77t ha⁻\u0026sup1;) herbage yields at 4% Si. While essential oil recovery remained consistent, essential oil yield was significantly higher at 4% Si (26.50 kg ha⁻\u0026sup1;), displaying notable increments over lower Si levels. Correlation analysis of essential oil compounds revealed distinct biosynthetic linkages, with Cis-davanone dominating the composition. PCA further highlighted that moderate Si levels (4%) significantly improved metabolic and physiological responses, optimizing \u003cem\u003eA. pallens\u003c/em\u003e performance. These findings establish 4% Si as an effective and sustainable approach to enhance growth, yield, and essential oil biosynthesis in \u003cem\u003eA. pallens\u003c/em\u003e.\u003c/p\u003e","manuscriptTitle":"Enhancing productivity and essential oil composition of Artemisia pallens Wall. ex DC through foliar application of silicon","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-09-16 16:24:22","doi":"10.21203/rs.3.rs-7487555/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"decision","content":"Revision requested","date":"2026-01-08T03:29:11+00:00","index":"","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2025-12-14T12:58:24+00:00","index":"hide","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2025-12-12T11:06:14+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"104254431745891905492223283487022523703","date":"2025-11-23T11:44:20+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"242322511560879490773927984000090485752","date":"2025-11-23T04:36:07+00:00","index":"hide","fulltext":""},{"type":"reviewersInvited","content":"","date":"2025-09-09T00:52:31+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2025-09-01T11:59:04+00:00","index":"","fulltext":""},{"type":"checksComplete","content":"","date":"2025-09-01T11:57:33+00:00","index":"","fulltext":""},{"type":"submitted","content":"Silicon","date":"2025-08-29T10:05:32+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"silicon","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"scon","sideBox":"Learn more about [Silicon](https://www.springer.com/journal/12633)","snPcode":"12633","submissionUrl":"https://submission.nature.com/new-submission/12633/3","title":"Silicon","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"em","reportingPortfolio":"Springer Hybrid","inReviewEnabled":true,"inReviewRevisionsEnabled":false}}],"origin":"","ownerIdentity":"f1179ee9-d63c-4b41-8410-7ddbf3b826bc","owner":[],"postedDate":"September 16th, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"under-review","subjectAreas":[],"tags":[],"updatedAt":"2026-05-16T07:24:50+00:00","versionOfRecord":[],"versionCreatedAt":"2025-09-16 16:24:22","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-7487555","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-7487555","identity":"rs-7487555","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}