International Journal of Statistics and Applied Mathematics
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2023, Vol. 8, Special Issue 6

Analysis of precipitation concentration index and impact of climate change on productivity of selected crops in Akola district of Maharashtra


Author(s): Aishwarya Patil and Nishant Shende

Abstract: Agriculture sector is more vulnerable to changing climate compared to other sectors. Looking to the adverse climatic situation and persistent changes in area, production and productivity of major crops in study area, it is felt necessary to analyze the variability of rainfall and impact of climatic factors on productivity of selected crops in Akola district. So, the present study has been conducted to analyse the Precipitation Concentration Index and impact of climate change on productivity of selected crops in Akola district of Maharashtra. Time series data ranging from 2000-01 to 2020-21 on productivity of cotton, gram, tur, wheat and soybean crop has been taken from government publications, websites. The data of selected climatic factors such as rainfall, maximum temperature, minimum temperature, morning relative humidity, evening relative humidity has been collected from Department of Agronomy, Dr. PDKV, Akola. The variability of rainfall of study period for Akola district has been analyzed by using precipitation concentration index. The effect of climate change on the productivity of cotton, gram, tur, wheat, and soybean has been studied using the multiple linear regression technique. For Akola district, there is overall irregular distribution of rainfall over period from 2000-01 to 2020-21. It is observed that, for kharif season the distribution of rainfall over a period ranging mainly from uniformly distributed to moderately distributed for Akola district. Also the rainfall distribution ranging from moderately distributed to strongly irregular distribution in Akola district during rabbi season. Similarly, summer season also showing same range of rainfall i.e. from moderately distributed to strongly irregular distribution for Akola district. According to the results of the multiple regression equation, climatic conditions are responsible for 59 per cent of the variation in cotton productivity. Soybean productivity varies by 38 per cent, and this fluctuation is caused by climatic factors. According to the findings, 74 per cent of the variation in gram productivity is observed due to climatic factors. The climatic factor are responsible for 59 per cent of the fluctuation in tur productivity and also about 17 per cent of the variation in wheat productivity is observed.

Pages: 1222-1226 | Views: 192 | Downloads: 2

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How to cite this article:
Aishwarya Patil, Nishant Shende. Analysis of precipitation concentration index and impact of climate change on productivity of selected crops in Akola district of Maharashtra. Int J Stat Appl Math 2023;8(6S):1222-1226.

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