Singh, M. and Khobragade, A.M. and Asewar, B.V.
(2017)
Development of the regression model to predict Pigeon Pea yield using meteorological variables for Marathwada Region (Maharashtra).
International Pure Applied Bioscience, 5 (6).
pp. 1627-1631.
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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.
| Item Type: |
Article
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| Uncontrolled Keywords: |
Pigeon pea, correlation, regression model, Meteorological variables |
| Author Affiliation: |
CCSHAU, Hisar-125004 (Haryana) India |
| Subjects: |
Plant Production |
| Divisions: |
Pigeonpea |
| Depositing User: |
Mr T L Gautham
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| Date Deposited: |
04 Mar 2019 04:00 |
| Last Modified: |
04 Mar 2019 04:00 |
| URI: |
http://eprints.icrisat.ac.in/id/eprint/15857 |
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