Studies on relationship between seed yield and yield components in soybean (Glycine max L. Merrill)

Abstract

A study was conducted on 56 genotypes of soybean to determine correlation and per cent contribution of variation by eachtrait on grain yield through principal component analysis. Mean Values for traits studied showed that TGx1987-64F had thehighest yield of 2.09 t/ha, followed by TGx 1987-37-37F. Correlation coefficient for seed yield was positive with days toflowering and maturity, plant height and number of pods per plant. The principal component analysis identified the traitsdays to maturity, plant height and number of pods per plan as mostly responsible for variation among the genotypes. Highlyweighted variables under the first principal component which explained 39.83% of the total variation include days tomaturity, plant height and number of pods per plant. The second principal component explained an additional 20.52% of thetotal variation. These two components explained 60.36% of the total variation in all the variables. Therefore, geneticenhancement of these traits will ultimately increase the grain yield.

Keywords

• Soybean
• correlation
• principle component analysis
• yield