Browsing by Author "Chandrabhan Patel"

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Assessment of climate change impact on pulse, oilseed and vegetable crops at Varanasi, India
(Association of Agrometeorologists, 2016) M.K. Yadav; R.S. Singh; K.K. Singh; R.K. Mall; Chandrabhan Patel; S.K. Yadav; M.K. Singh
Decision Support System for Agrotechnology Transfer (DSSAT v4.6.1) was used to study the impact of climate change and variability on productivity of different monsoon (pigeonpea and groundnut) and winter season crops (chickpea, mustard, tomato and potato) at Varanasi. Keeping in view the observed trends in climate variability, productivity of different cash crops were simulated under plausible synthetic climatic scenarios of changes in temperature and carbon dioxide. Productivity of pigeonpea and groundnut in monsoon season and mustard, tomato and potato in winter season decreased with an increase in temperature. Productivity of different pulse, oilseed and vegetable crops increased under expected enhanced CO2 concentrations. Highest productivity decreased in pigeonpea crop (96.0%) in monsoon season and minimum in tomato crop (4.0%) in winter season with an increase of 3.0 °C in temperature above normal. Highest productivity increase in mustard crop (164.0%) in winter season and lowest in pigeonpea crop (33.0%) in monsoon season were simulated under projected enhanced CO2 concentration of 760 ppm. Highest counter-balance in productivity of mustard crop (150%) followed by tomato crop (81%) during winter season and lowest in pigeonpea crop (99%) during monsoon season were simulated when an increase in temperature by 3.0 °C above normal under projected enhanced CO2 concentration of 760 ppm. © 2016, Association of Agrometeorologists. All rights reserved.
Calibration and validation study of sugarcane (DSSAT-CANEGRO V4.6.1) model over north indian region
(Association of Agrometeorologists, 2016) A.H. Bhengra; M.K. Yadav; Chandrabhan Patel; P.K. Singh; K.K. Singh; R.S. Singh
The DSSAT CANEGRO model was calibrated and validated using field experimental data (1997- 2013) from four locations of north Indian region. The genetic coefficients for 10 cultivars of sugarcane were estimated.R2 obtained between measured and simulated stalk yield was 0.69 with the nRMSE (7.50%) and D-index (0.91) and R2 between measured and simulated sucrose mass was 0.57 with the nRMSE (11.75%) and D-index (0.85). The model underestimated both the stalk fresh mass as well as sucrose mass by 2 and 6 per cent only, respectively. Hence,the CANEGRO model can be used to simulate the phenology and yield attributes of sugarcane cultivars of north India particularly of Uttar Pradesh region. The model can also be used to evaluate and improve the present practices of sugarcane crop management to obtain increased cane production and sugar recovery. © Association of Agrometeorologists. All rights reserved.
Evaluation of DSSAT-CERES model for irrigation scheduling of wheat crop in varanasi region of Uttar Pradesh
(Association of Agrometeorologists, 2017) Chandrabhan Patel; A.K. Nema; R.S. Singh; M.K. Yadav; S.K. Singh; Shiv Mangal Singh
The DSSAT-CERES-Wheat model (V-4.6) was calibrated and validated using field experiment data (2008-2014) collected on phenology, yield and yield attributes of four cultivars (HUW 234, Kundan, HUW 510 and PBW 373) of wheat for Varanasi. The simulated yields were very close to observed grain yield as evident from R2 of 0.96 with nRMSE (4.92%) and D-index (0.99). The simulated phenological events and yield attributes of wheat cultivars were also in good agreement. Therefore, the model was used for evaluation of irrigation scheduling in wheat crop. The results revealed that the model performance was good under three, four and five irrigation scheduling while poor performance was observed under two and one irrigation treatments. © 2017, Association of Agrometeorologists. All rights reserved.
Foliar application of commercial amino acids biostimulants on nutrient uptake and quality of potato tuber
(Springer Nature, 2025) Vimal Kumar; Priyankar Raha; Chandrabhan Patel; Dharmendra Kumar Verma; Anshuman K. Singh
The field experiments were conducted in the middle Gangetic plain sub-tropical region of India. The objective of the research was to assess the nutrient uptake and quality of potato tubers under various irrigation schedules and commercial amino acid biostimulant (AAB) treatments. The field trial used a split-plot design incorporating three irrigation schedules at key crop growth stages: three irrigation stages (I1; 3 irrigations), four stages (I2; 4 irrigations), and five stages (I3; 5 irrigations), along with four different sources of AAB: A0 (control), A1 (Siapton 10 L), A2 (Amino acid liquid), and A3 (Amino Plus), combined with the recommended dose of fertilizers. The quality and nutrient uptake of the tubers were significantly enhanced by spraying all the sources of AAB. The plant-based biostimulant (A2) led to the greatest increase in total soluble solids (TSS, 18.12 to 28.20%), starch (21.36 to 23.93%), and protein content (2.11 to 2.76%), followed by the mixture amino acid biostimulants (A3), and the lowest response was observed with the animal-based biostimulants (A1). The maximum nutrient uptake was observed with the A2 treatment, with nitrogen uptake ranging from 65.74 to 152.26 kg ha− 1, 120.12 to 163.23 kg ha− 1, and 74.90 to 79.69 kg ha− 1 at 30, 60, and 90 DAS, respectively, followed by A3 and A1. Maximum phosphorus uptake by A2 ranged from 32.54 to 107.50 kg ha− 1, 47.73 to 70.57 kg ha− 1, and 56.78 to 47.73 kg ha− 1 at 30, 60, and 90 DAS, respectively, followed by A3 and A1. The same trend was observed for potassium uptake. Regarding the irrigation schedule, all treatments showed significant effects, with the maximum tuber yield (230.5 and 226.1 q ha− 1 during the first and second years, respectively) recorded with the I2 irrigation (4 irrigation stages), followed by I3 (5 irrigations) and I1 (3 irrigations). The greatest potato yield (239.0 and 234.2 q ha− 1 during the first and second years, respectively) was observed with A2. Significant interaction effects between different irrigation schedules and AAB treatments were found, with the highest interaction effect on tuber yield (255.0 and 241.3 q ha− 1 during the first and second years, respectively) recorded with the I2A2 combination, followed by other treatment combinations. The impact of the irrigation schedule on nutrient uptake and tuber quality was found to be insignificant. These findings suggest that foliar application of AAB can improve nutrient use efficiency (NUE) by facilitating easier nutrient absorption and enhancing potato tuber quality. © The Author(s) 2025.
Optimizing Marketable Tuber Production in Potato (Solanum tuberosum L.) with Irrigation and Biostimulants Application
(Springer Science and Business Media B.V., 2025) Vimal Kumar; Priyankar Raha; Chandrabhan Patel; Dharmendra Kumar Verma; Anshuman K. Kohli; Anshuman K. Singh; Duniya Ram Singh
A field study was conducted to evaluate the combined effects of irrigation scheduling and amino acid-based biostimulants (AAB) on the growth and yield of potato (Solanum tuberosum L.) under Inceptisol conditions in the Middle Gangetic Plain, Uttar Pradesh, India, during two consecutive rabi seasons. The experiment followed a split-plot design with three irrigation regimes: I1 (three irrigations at three growth stages), I2 (four irrigations at four stages), and I3 (five irrigations at five stages), with 5 cm of water applied using a ridge-furrow system. Sub-plot treatments included four foliar biostimulant applications: control (A0), animal-based (A1), plant-based (A2), and a mixed amino acid formulation (A3), applied at key physiological stages. All biostimulants were applied in liquid form using a sprayer, diluted at a concentration of 250 mL per 100 L of water per hectare. Standard NPK fertilizer doses were applied, and soil properties were monitored before and after cultivation. Results indicated that both irrigation scheduling and AAB treatments significantly affected plant height, leaf area index (LAI), chlorophyll content, and marketable tuber yield across both years. Among the irrigation treatments, I2 resulted in the most favorable growth and yield parameters. The plant-based biostimulants (A2) consistently outperformed other AAB sources, significantly enhancing vegetative growth and tuber production. The I2A2 treatment combination yielded the highest values for plant height at 90 DAP (33.5 cm and 32.9 cm), LAI at 60 DAP (4.96 and 3.77), chlorophyll content at 30 DAP (43.77 and 44.62), and tuber yield per plant (255.00 g and 241.33 g) in the first and second field experiment, respectively. Significant interaction effects between irrigation levels and biostimulants types were observed for all measured parameters. These findings suggest that the strategic integration of a four-stage irrigation schedule with plant-derived AAB substantially improves marketable tuber yield by promoting vegetative growth and physiological performance in potato crops cultivated under Gangetic alluvial conditions. © The Author(s), under exclusive licence to European Association for Potato Research 2025.
Yield forecasting of rice and wheat crops for Eastern Uttar Pradesh
(Association of Agrometeorologists, 2014) R.S. Singh; Chandrabhan Patel; M.K. Yadav; K.K. Singh
Eighteen years (1991-2008) of weather data and yield data of rice and wheat for 9 districts of Eastern Uttar Pradesh was used to develop yield prediction equations. Models were validated with 2 years (2009 and 2010) data. Results indicated that models explained 51 to 79 percent variations for rice yield and 65 to 92 percent variations for wheat yield in different districts. The percent Mean Bias Error (MBE) was between-1.05 (Mau) to 6.17 (Mirzapur) for rice and from-6.56 (Mau) to 0.01 (Varanasi) for wheat crop. The percent Root Mean Square Error (RMSE) was between 6.87 (Jaunpur) to 11.60 (Sant Ravidas Nagar) for rice and from 5.52 (Mirzapur) to 11.11 (Mau) for wheat crop. This revealed that the models can be used to some extent for predicting the yield in different districts of Eastern Uttar Pradesh. © 2014, Association of Agrometeorologists. All rights reserved.