International Journal of Pure & Applied Bioscience (IJPAB)
Year : 2017, Volume : 5, Issue : 6
First page : (1627) Last page : (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
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
