Year: 2019 | Month: December | Volume 64 | Issue 4
Study of Climatic Factors Affecting the Productivity of Cotton and its Instability
Monika Devi
P. Mishra
D.P. Malik
Vinay Mehala
V.P. Mehta
Nitin Bhardwaj
DOI:10.30954/0424-2513.4.2019.11
Abstract:
Cotton is an important commercial crop in India. The present study focuses on measurement of variability pattern of cotton yield and use of principal component analysis for developing cotton yield forecast model for Hisar district of Haryana (India). Instability index has been observed to study the variability behavior of cotton yield in the district. Time series data on cotton yield and fortnightly data of five weather variables for the crop season for 38 years (1980-91 to 2017-18) have been used. In all, three models have been developed by using direct weather variables, PC scores and components with higher loading as regressors and developed models have been used to forecast yield for four subsequent years 2014-15 to 2017-18 (which were not included in model development). The model with PC scores was found to be most appropriate to provide reliable yield forecast.
© This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited
Print This Article Email This Article to Your Friend
