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Showing papers in "Journal of Agrometeorology in 2016"


Journal Article
TL;DR: Yield benefits obtained based on the simulation study from various adaptation options revealed that advancing the sowing window by one fortnight and application of one critical irrigation at 60 DAS found to be beneficial in increasing chickpea yields under climate change scenario.
Abstract: The impact of future climate change on the chickpea productivity was studied using the sequence analysis tool of DSSAT V 4.5 to simulate fallow-chickpea rotation at four locations viz Anantapur, Kurnool, Kadapa and Prakasam of Andhra Pradesh State. The results indicated that as compared to baseline climate, the climate change to be anticipated by 2069 (Mid –century period) would decrease the yield of chickpea by 4.3 to 18.6 per cent across various locations tested. Yield benefits obtained based on the simulation study from various adaptation options revealed that advancing the sowing window by one fortnight and application of one critical irrigation at 60 DAS found to be beneficial in increasing chickpea yields under climate change scenario.

12 citations




Journal Article
TL;DR: The study revealed that the InfoCrop-Mustard model can be used to predict crop phenological events and productivity under presumptive climate change scenarios in central Punjab.
Abstract: The InfoCrop-mustard model was calibrated and validated using field experiment conducted during 2010-11 to 213-14 at research farm of Punjab Agricultural University Ludhiana, Punjab, having three dates of sowing (25 thOctober, 5 thNovember and 15thNovember) and three crop cultivars (PBR 91, Hyolla PAC 401 and GSL 1). The simulated crop phenology and seed yield agreed fairly well with field observations. The validated model was used to simulate the response of mustard to increase in temperatures on crop productivity. The seed yield decreased linearly as a result of increase in maximum and minimum temperatures. The study revealed that the InfoCrop-Mustard model can be used to predict crop phenological events and productivity under presumptive climate change scenarios in central Punjab.

2 citations