RAINFALL ANALYSIS FOR CROP PLANNING

K. RAJU1*, T. CHITKALA DEVI2, M.B.G.S. KUMARI3, K.V. RAMANA MURTHY4, M. BHARATHALAKSHMI5
1Department of Agronomy, Regional Agricultural Research Station, Acharya N.G. Ranga Agricultural University, Anakapalle, 531001, Visakhapatnam District, India
2Department of Agronomy, Regional Agricultural Research Station, Acharya N.G. Ranga Agricultural University, Anakapalle, 531001, Visakhapatnam District, India
3Department of Agronomy, Regional Agricultural Research Station, Acharya N.G. Ranga Agricultural University, Anakapalle, 531001, Visakhapatnam District, India
4Department of Agronomy, Regional Agricultural Research Station, Acharya N.G. Ranga Agricultural University, Anakapalle, 531001, Visakhapatnam District, India
5Department of Agronomy, Regional Agricultural Research Station, Acharya N.G. Ranga Agricultural University, Anakapalle, 531001, Visakhapatnam District, India
* Corresponding Author : kannediraju@gmail.com

Received : 02-06-2021     Accepted : 27-06-2021     Published : 30-06-2021
Volume : 13     Issue : 6       Pages : 10801 - 10802
Int J Agr Sci 13.6 (2021):10801-10802

Keywords : Weekly rainfall, Probability, Growing period, Crop planning
Conflict of Interest : None declared
Acknowledgements/Funding : Authors are thankful to Department of Agronomy, Regional Agricultural Research Station, Acharya N.G. Ranga Agricultural University, Anakapalle, 531001, Visakhapatnam District, Andhra Pradesh, India
Author Contribution : All authors equally contributed

Cite - MLA : RAJU, K., et al "RAINFALL ANALYSIS FOR CROP PLANNING." International Journal of Agriculture Sciences 13.6 (2021):10801-10802.

Cite - APA : RAJU, K., CHITKALA DEVI, T., KUMARI, M.B.G.S., RAMANA MURTHY, K.V., BHARATHALAKSHMI, M. (2021). RAINFALL ANALYSIS FOR CROP PLANNING. International Journal of Agriculture Sciences, 13 (6), 10801-10802.

Cite - Chicago : RAJU, K., T. CHITKALA DEVI, M.B.G.S. KUMARI, K.V. RAMANA MURTHY, and M. BHARATHALAKSHMI. "RAINFALL ANALYSIS FOR CROP PLANNING." International Journal of Agriculture Sciences 13, no. 6 (2021):10801-10802.

Copyright : © 2021, K. RAJU, et al, Published by Bioinfo Publications. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.

Abstract

Study is carried out for the weekly probability analysis of rainfall with statistical method for predicting the minimum assured rainfall which helps in crop planning and management. Weekly rainfall data from 1990-2019 (30 years) of Regional Agricultural Research Station, Anakapalle was analyzed using incomplete gamma probability model. The results revealed that, the dependable amount of rainfall at 50 percent probability would be received more than 15.0 mm from 23rd to 44th SMW (4th June to 4th November). It indicates the length of growing period considering at 50 percent probability of rainfall. Study of coefficient of variation of weekly rainfall indicated that dependable rainfall during the period irrespective of quantity of rainfall to be received. The amount of rainfall and duration would be for kharif crops and rabi crops with support of irrigation

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