Vol. 6, Issue 6 (2018)
Development of multivariate statistical Pigeon pea yield prediction model for Raipur district Chhattisgarh
Author(s): Avinash Yadu, Anil Patel, Shweta Gautam and Shraddha Rawat
Abstract: The changing climatic conditions have a major impact on rain fed crops including pulses. An attempt has been made in this paper to study the effect of vital weather parameters on Pigeon pea yield and to develop a multivariate statistical model for yield forecast of Raipur district Chhattisgarh. On basis of 15 years (2000-2015) weather and Pigeon pea production 3 types of models have been developed using SPSS software. Result revealed that model 3 has the highest R2 value 0.88, which describes the 88% variability in Pigeon pea yield due to weather parameters i.e. rainfall of 6th week after sowing, maximum temperature of 5th week after sowing and rainfall of 11th week after sowing. This may be due to more weather factors involved in the Model 3, instead of any other models.
Pages: 2782-2785 | 339 Views 50 Downloads
download (5848KB)
How to cite this article:
Avinash Yadu, Anil Patel, Shweta Gautam, Shraddha Rawat. Development of multivariate statistical Pigeon pea yield prediction model for Raipur district Chhattisgarh. Int J Chem Stud 2018;6(6):2782-2785.
