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

  • Lateef Lekan Bello, Aondover Shaahu and Terkimbi Vange
Keywords: Soybean, correlation, principle component analysis, yield.

Abstract

A study was conducted on 56 genotypes of soybean to determine correlation and per cent contribution of variation by each
trait on grain yield through principal component analysis. Mean Values for traits studied showed that TGx1987-64F had the
highest yield of 2.09 t/ha, followed by TGx 1987-37-37F. Correlation coefficient for seed yield was positive with days to
flowering and maturity, plant height and number of pods per plant. The principal component analysis identified the traits
days to maturity, plant height and number of pods per plan as mostly responsible for variation among the genotypes. Highly
weighted variables under the first principal component which explained 39.83% of the total variation include days to
maturity, plant height and number of pods per plant. The second principal component explained an additional 20.52% of the
total variation. These two components explained 60.36% of the total variation in all the variables. Therefore, genetic
enhancement of these traits will ultimately increase the grain yield.
Published
31-12-2012
Section
Research Note