Author(s): Serene Toppo, RV Chavan and SV Bharati

Abstract: Rainfall regime is perhaps the most important factor in determining the potential productivity of various agricultural activities. To analyze, the extent of variation in the rainfall pattern in the study area, the short term time series weather data was used for a period of 10 years i.e. from 2013-2023 and the annual rainfall data was obtained from the department of Agrometeorology, College of Agriculture, Vasantrao Naik Matrathwada Krishi Vidyapeeth, Parbhani. The data related to production of crops were collected from Government of Maharashtra statistical database. The statistical descriptive measures namely, mean, standard deviation (SD), Coefficient of variation (CV), Minimum, Maximum, Skewness, Kurtosis have been calculated. Using linear trend, the change in rainfall has been evaluated. It is observed that district receives maximum amount of rainfall that the district receives the maximum amount of rainfall from the southwest monsoon, around 81.61 per cent from June to September, the district receives 17.39 per cent in June and 26.96, 15.33 and 21.93 per cent rainfall in the month of July, August and September, respectively. The rainfall in Parbhani district showed considerable variation from year to year, with both positive and negative deviations from the normal levels with some years experiencing significant deviations from the normal rainfall affecting both surplus and deficit conditions across the prevailing seasons. Monsoonal rainfall is correlated with crop production. The correlation values between crop production and monsoon rainfall give an insight into how dependent each crop is on monsoon rains Pulses like tur, green gram and black gram have higher correlations with monsoon rainfall indicating they are highly sensitive to monsoon variations. Oilseeds like groundnut, sesamum and soybean have relatively low correlations, which may indicate adaptability or the availability of irrigation in growing region. The findings suggest a need for improved rainfall forecasting and adaptive agricultural strategies to mitigate the effects of both years of deficit and years of excessive rainfall. The district experienced periods of excess rainfall and drought-like conditions, leading to an unpredictable agricultural environment.

Pages: 188-194 | Views: 223 | Downloads: 12

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