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Azfar M.,Narendra Deva University Of Agril And Technology Kumarganj | Sisodia B.V.S.,Narendra Deva University Of Agril And Technology Kumarganj | Rai V.N.,Narendra Deva University Of Agril And Technology Kumarganj | Devi M.,Narendra Deva University Of Agril And Technology Kumarganj
Mausam | Year: 2015

The present paper deals with use of principal component analysis of weekly data on weather variables for developing rapeseed & mustard yield forecast model for Faizabad district of U. P. (India). Time series data on rapeseed & mustard yield and weekly data of six weather variables for the crop season for 22 years (1990-91 to 2011-12) have been used to develop weather indices. In all, six models have been developed and have been used to forecast yield for three subsequent years 2009-10 to 2011-12 (which were not included in model development). The model with six weather variables was found to be most appropriate to provide reliable yield forecast about one and half months before the harvest. © 2015, India Meteorological Department. All Rights Reserved. Source

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