An attempt was made to understand how the intensity and distribution pattern of weather parameters at different stages of growth affect the rice yield. The second-degree multiple-regression equation can profitably be employed in quantifying the relationship between rice yield and weather variables.
Contribution of climatic variables in predicting maize yield under monsoon conditions
β Scribed by A.K.S. Huda; B.P. Ghildyal; V.S. Tomar
- Book ID
- 102980263
- Publisher
- Elsevier Science
- Year
- 1976
- Weight
- 742 KB
- Volume
- 17
- Category
- Article
- ISSN
- 0002-1571
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β¦ Synopsis
Huda, A. K. S., Ghildyal, B. P. and Tomar, V. S., 1976. Contribution of climatic variables in predicting maize yield under monsoon conditions. Agric. Meteorol., ] 7 : 33--47.
A second-degree multiple-regression equation was employed, in an attempt to quantify the relationship between maize yield and meteorological parameters.
Maize yield was found to be affected differently by climatic variables during different stages of growth. Above-average weekly totals of rainfall had a favourable effect on yield during emergence, but a markedly reduced effect during silking and tasseling (flowering) to maturity. Above-average daily maximum temperatures were favourable for yield during a 4-week period prior to silking. However, higher-than-average daily maximums depressed yields during maturation. But above-average daily minimum temperatures gave a favourable effect during tasseling and silking.
The maize crop was more sensitive to deviations in the climatic variables used in this study, during the 3-week period prior to silking and tasseling, during maturation and during the 3-week period following maturation.
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