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040			_cUAS Dharwad
041			_aEnglish
082			_a630.2515 _bMUN
100			_aMundinamani Meghana
245			_aSimulated Impacts of Current and Projected Climates on Bt Cotton Genotypes Across Nik Using Dssat Model
250			_aM.Sc. (Agri)
260			_aDharwad _bUniversity of Agricultural Sciences _c2024
300			_a198 _c32 Cms
520			_aABSTRACT The introduction of Bt cotton in India in 2002 has significantly increased cotton production in recent decades. However, the performance and consistency of cotton cultivation are being affected by climate change-induced weather variability. To understand the potential impact across different climatic zones, this study aims to calibrate the DSSAT-Cotton model for selected Bt cotton hybrids and investigate their performance under varying climate scenarios in Northern Interior Karnataka (NIK) on black clay soils, specifically under rainfed conditions.The objectives of this study include calibrating the DSSAT model for nine selected Bt cotton genotypes and assessing the model's performance by comparing simulated outputs with observed values. The cotton crop for observations was grown in Kharif 2022-23 at MARS, Hebballi, Dharwad where nine Bt cotton hybrids (Neelam, Ajeet-199, Super cot, RCH-Magic, MRC-7351 Gold, MRC-7017, Money maker, Rasi-659, and Dr Brent) were included of which different physiological and yield attribute observations were collected..The calibrated model demonstrated satisfactory performance, with minor differences observed in anthesis day and physiological maturity for some genotypes. Yield values exhibited a moderate variation from the simulated values. Among the tested hybrids, Super cot exhibited the highest yield of 1476 kg/ha, while Rasi-659 recorded the lowest yield of 775.2 kg/ha. Further validation and simulations are carried to quantify the impact of projected weather on Bt cotton genotypes and identify adaptation strategies. As Bt cotton is a significant cash crop in NIK, changes in weather patterns, particularly rainfall and temperature, directly influence crop phenology, evapotranspiration, water requirements, and ultimately, yield across different soil types. Therefore, the study recommends utilizing the DSSAT-CROPGRO Cotton model to estimate the impact of climate change on Bt cotton performance across all 13 districts of North Interior Karnataka, considering rainfed and potential conditions.
650			_aAgricultural Meteorology
700			_aPatil R. H.
942			_cTH _eM.Sc. (Agri) _h630.2515 _kHAD _n0 _6630_251500000000000
999			_c70945 _d70945