Study of Morphological Traits of Wheat Cultivars Through Factor Analysis

Since the correlation coefficients may complete information on the relationship between different traits and not to provide benefits according to several multivariates statistical analysis to understand the deep structure of data, factor analysis can be used. In order to assess this potential yield of maize genotypes in drought conditions, and review some of the quantitative traits associated with grain yield and selected superior genotypes, 10 corn genotypes with the experimental in 2009-2010 crop year was conducted in Ardabil region. The analysis of variance showed significant differences between the traits evaluated in terms of stress and there was no tension. Also among the genotypes in terms of all traits there was a significant difference. Figures show that the genetic richness was investigated. Performing factor analysis through principal component analysis, five factors in total 96.82 percent of the changes were justified. The results indicate the importance of factor coefficients of trait selection weight of 500 seeds per genotype is ideal for dry conditions. Because of this trait with the highest simple correlation with the performance and has the highest share in the operating performance.