Journal ID : AMA-04-12-2021-10916
[This article belongs to Volume - 52, Issue - 03]
Total View : 389

Title : Rainfall characteristics and probability analysis for crop planning of Samba district of Jammu and Kashmir (U.T.) India

Abstract :

To stabilize the crop productivity in rainfed agriculture, it is necessary to characterize rainfall with respect to amount, distribution and its dependability which is an important parameter to evolve suitable cropping patterns. The present investigation has been done to study rainfall characteristics of Rakh Dhiansar (320 39’ N, 740 53’ E, 294 m amsl), Samba district of Jammu region using 30 years (1987-2016) daily rainfall data. In this study, weekly rainfall was worked out from daily values and used for initial, conditional and consecutive dry and wet spell analysis done by using Markov chain probability. The highest rainfall received during the month of August followed by July, September, June and March with the corresponding values of the total amount of rainfall are 321.6, 317.8, 146.6, 92.3 and 63.5 mm with coefficient of variations of 48.7, 41.3, 66.2, 85.0 and 129.2%, respectively. Maximum amount of rainfall was received through S-W monsoon i.e 878.6 mm which accounted for about 77.5% of the annual rainfall in kandi belt of Samba district. The probability of occurrence of wet week is more than 35% during 24 SMW (11-17 June), thus the pre monsoon rains can be utilized for summer ploughing and initial seed bed preparations for the sowing, better germination and good crop stand of kharif crops. It is concluded that there is a need of reconsidering the cropping pattern, selection of crops, their varieties and management practices for kandi belt of Samba district to minimize the risk in crop production as inflicted by rainfall variability.

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