Impact of climate variables to major food crops’ yield in midhills of western development region, Nepal
M Aryal, PP Regmi, RB Thapa, KR Pande, KP Pant
Abstract
Open-access reader
M Aryal, PP Regmi, RB Thapa, KR Pande, KP Pant
Abstract
Open-access reader
Climate change is threatening the agriculture sector especially on present and future food security in low income countries. Primary and secondary data collected through household survey and collected from different secondary source were used to assess the effects of climate variables on crop yield and the uniformity of effects across crops and growing seasons in Kaski district considering six major food crops as paddy, maize, wheat, millet, Barley and potato. A multivariate regression analysis, based on the first difference time series of crop yield and climate variables, is employed to estimate the empirical relationships between crop yield and climate variables. The results are discussed at district level empirically. It showed that climate variables significantly influence the crop yield, but not uniformly on all crops and in all growing seasons.
OpenAlex reports 7 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
Climate change is threatening the agriculture sector especially on present and future food security in low income countries. Primary and secondary data collected through household survey and collected from different secondary source were used to assess the effects of climate variables on crop yield and the uniformity of effects across crops and growing seasons in Kaski district considering six major food crops as paddy, maize, wheat, millet, Barley and potato. A multivariate regression analysis, based on the first difference time series of crop yield and climate variables, is employed to estimate the empirical relationships between crop yield and climate variables. The results are discussed at district level empirically. It showed that climate variables significantly influence the crop yield, but not uniformly on all crops and in all growing seasons.
Key concepts: Food security, Yield (engineering), Crop, Agriculture, Climate change, Crop yield, Geography, Agronomy