Use of Multivariate Analysis in Determining Characteristics for Grain Yield Selection in Wheat
Use of Multivariate Analysis in Determining Characteristics for Grain Yield Selection in Wheat
Shahid Iqbal Awan1*, Syed Dilnawaz Ahmad2, Muhammad Amjad Ali3, Muhammad Shahzad Ahmed1, Aurangzeb Rao1
Scree plot diagram of eigen values constructed on 10 morpho-physiological parameters recorded in 176 spring wheat genotypes
Factor loadings of factor 1 assessed from 10 morpho-physiological traits in spring wheat genotypes
Factor loadings of factor 2 assessed from 10 morpho-physiological traits in spring wheat genotypes
Factor loadings of factor 3 assessed from 10 morpho-physiological traits in spring wheat genotypes
Factor loadings of factor 4 assessed from 10 morpho-physiological traits in spring wheat genotypes
Tree diagram based on 10 morpho-physiological traits in spring wheat genotypes using Ward’s method
Tree diagram based on 176 spring wheat genotypes using Ward’s method
Plot of cluster means as revealed by K-means clustering for 10 morpho-physiological traits in spring wheat genotypes
