Component Analyses and their Implication on the Breeding of Soya Bean (Glycine max (L.) Merr)

O. J., Ariyo (1995) Component Analyses and their Implication on the Breeding of Soya Bean (Glycine max (L.) Merr). Pertanika Journal of Tropical Agricultural Science, 18 (3). pp. 201-207. ISSN 0126-6128

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Abstract

The characters associated with seed yield in 20 genotypes of soya bean, Glycine max (L) Merr. were analysed using techniques of correlation, regression and factor analyses. The multiple linear correlation (R) of O. 99 with a coefficient of determination of 0.97 was recorded. The regression analysis indicated that days to flowering, days to maturity, height at harvest, number of branches per plant, number of seeds per pod, nodulation and pod length contributed substantially to the variation due to regression. Only height at harvest and days to maturity were positively and significantly correlated with seed yield. Factor analysis produced a similar result to those of plant character correlation and regression analysis. The first four factors accounted for 82.53% of the variation in the dependence structure.

Item Type:Article
Keyword:soya bean breeding, correlation, factor analysis, selection index
Publisher:Universiti Putra Malaysia Press
ID Code:3303
Deposited By: Nasirah Abu Samah
Deposited On:25 Nov 2009 03:53
Last Modified:27 May 2013 07:07

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