INDIAN JOURNAL OF PURE & APPLIED BIOSCIENCES

ISSN (E) : 2582 – 2845

  • No. 772, Basant Vihar, Kota

    Rajasthan-324009 India

  • Call Us On

    +91 9784677044

Archives

Indian Journal of Pure & Applied Biosciences (IJPAB)
Year : 2017 , Volume 5, Issue 6
Page No. : 1627-1631
Article doi: : http://dx.doi.org/10.18782/2320-7051.5445

Development of the Regression Model to Predict Pigeon Pea Yield Using Meteorological Variables for Marathwada Region (Maharashtra)

Madho Singh1*, A. M. Khobragade2, and B. V. Asewar2

1Ph.D. Research Scholar, CCSHAU, Hisar-125004 (Haryana) India
2Department of Agricultural Meteorology, VNMKV, Parbhani-431 402 (M.S.), India
*Corresponding Author E-mail: madhosingh.meena164@gmail.com
Received: 15.08.2017 | Revised: 22.09.2017 | Accepted: 29.09.2017

 ABSTRACT

The study was carried out at Department of Agricultural Meteorology, VNMKV, Parbhani to find the quantitative relationship between weather parameters and district level yield of pigeon pea. For this purpose, 30 years (1982-83 to 2011-12) weather and crop yield records of different district of Marathwada region of Maharashtra (India) were collected. A twenty-eight-week crop period model was recommended for pre harvest forecast due to higher R2 value and lower simulated forecast deviation. The time trend, maximum temperature, morning and evening relative humidity significantly affected crop yield. In Aurangabad equation shows that the Tmin. and Tmean has positively significant effect on yield. In latur the equation shows that all weather parameters have highly positively significant effect Tmax., Tmin., Tmean, RH I, RH II, Rainfall and R.D. effect on yield.In osmanabad equation show that the Tmin.and Tmean have negatively significant effect on yield while other variables show non-significant effect on yield. While in Parbhani and Beed District all the weather parameters have no significant effect on yield.

Key words: Pigeon pea, correlation, regression model, Meteorological variables.

Full Text : PDF; Journal doi : http://dx.doi.org/10.18782/2320-7051.5445

Cite this article:

Singh, M., Khobragade, A.M., and Asewar, B. V., Development of the Regression Model to Predict Pigeon Pea Yield Using Meteorological Variables for Marathwada Region (Maharashtra), Int. J. Pure App. Biosci. 5(6): 1627-1631 (2017). doi: http://dx.doi.org/10.18782/2320-7051.5445




Photo

Photo