Climate change effects on Chickpea yield and its variability in Andhra Pradesh, India

Farmers usually do not know the precise output that is affected by climatic factors such as temperature and rainfall are characterized inter-annual variability, part of which caused global climate change. No study covers influences on yield risk in context chickpea farming Andhra Pradesh, India. In this context, aimed to investigate trends change variables during Rabi season (October January, 1996-2020) evaluated their variability yields across different agro-climatic zones Pradesh employing Just Pope production function. Four non-parametric methods-Alexandersson’s Standard Normal Homogeneity Test, Buishand’s Range Pettitt’s Test Von Neumann’s Ratio applied detect homogeneity data. Mann–Kendall (MK) test Sen’s slope (SS) method were employed analyze monthly minimum maximum trends. Results (panel data) quadratic Cobb-Douglas methods revealed positively influenced mean (0.22% 0.16%, respectively). However, (-0.41% -0.31%) (-0.08% -0.04%) negatively under models, respectively. Accordingly, (0.08% 0.06%) (0.83% 0.72%) (-0.77% -0.67%) reduced models view these findings, it imperative advocate farmers about importance cultivating drought-tolerant varieties, drought-proofing mitigation strategies, micro-irrigation practices improving access agro-meteorological information towards sustainable cultivation Pradesh.