Component analyses and their implication on the breeding of soya bean (Glycine max (L.) Merr)


Citation

Ariyo O.J., . Component analyses and their implication on the breeding of soya bean (Glycine max (L.) Merr). pp. 201-207. ISSN 0126-6128

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 0.99 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 or 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 charater correlation and regression analysis. The first four factors accounted for 82.53 percent of the variation in the dependence structure.


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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 0.99 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 or 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 charater correlation and regression analysis. The first four factors accounted for 82.53 percent of the variation in the dependence structure.

Additional Metadata

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Item Type: Article
Additional Information: Summaries (En Ms)
AGROVOC Term: SOJA
AGROVOC Term: GLYCINE MAX
AGROVOC Term: FITOMEJORAMIENTO
AGROVOC Term: METODOS ESTADISTICOS
AGROVOC Term: INDICE DE SELECCION
Depositing User: Ms. Norfaezah Khomsan
Last Modified: 24 Apr 2025 05:51
URI: http://webagris.upm.edu.my/id/eprint/17292

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