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Journal of Pharmacognosy and Phytochemistry
Vol. 7, Special Issue 2 (2018)
Application of PCA in evaluation of wheat varieties
Author(s): Hemant Kumar Singh, Ravi Shankar Maurya and Bhim Singh
Abstract: In the present paper, principal components analysis technique has been described to ascertain the best wheat verity by taking proper weights of important characters in the plant breeding experiments. The proposed method has been done for both using correlation matrix and variance covariance matrix. For illustration purpose, we used the data based on ten wheat varieties of multiple characters with three replications in randomized block design.
How to cite this article:
Hemant Kumar Singh, Ravi Shankar Maurya and Bhim Singh. Application of PCA in evaluation of wheat varieties. 2018; 7(2S): 76-79.