2018
DOI: 10.54386/jam.v20i1.498
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Impact of temperature increase on performance of kharif rice at Kalyani, West Bengal using WOFOST model

Abstract: WOFOST model (version 7.1.2) was used to study the impacts of elevated thermal environment on kharif rice at Kalyani situated in lower Gangetic region of West Bengal. The model was calibrated and validated with experimental data collected during kharif season of 2010 to 2013. The simulated yield data was well matched with actual data. The sensitivity analysis for effect of temperature change on crop maturity showed that if temperature was increased by 10C and 20C the maturity period was delayed by 3 and 7 days… Show more

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Cited by 5 publications
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“…WOFOST has most commonly been applied in Asia and Europe for crop simulations (Table 9). Researchers mostly use this model to analyze climatic yield potential and yield gaps, nitrogen uptake, rice response to fertilizer management and nitrogen use efficiency in long‐term crop cultivation (Dobermann et al, 2000); crop growth, yield (Bussay et al, 2015; Shekhar et al, 2008) and soil‐crop water balance (Bussay et al, 2015); crop phenology response to different sowing dates and varieties (Wu et al, 2017); crop response to rising temperatures (Biswas et al, 2018); crop quality, development, and yield during low, medium, and high‐yielding years under extreme events (van der Velde et al, 2018).…”
Section: Crop Modelsmentioning
confidence: 99%
“…WOFOST has most commonly been applied in Asia and Europe for crop simulations (Table 9). Researchers mostly use this model to analyze climatic yield potential and yield gaps, nitrogen uptake, rice response to fertilizer management and nitrogen use efficiency in long‐term crop cultivation (Dobermann et al, 2000); crop growth, yield (Bussay et al, 2015; Shekhar et al, 2008) and soil‐crop water balance (Bussay et al, 2015); crop phenology response to different sowing dates and varieties (Wu et al, 2017); crop response to rising temperatures (Biswas et al, 2018); crop quality, development, and yield during low, medium, and high‐yielding years under extreme events (van der Velde et al, 2018).…”
Section: Crop Modelsmentioning
confidence: 99%