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

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 analysi...

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Main Author: O. J., Ariyo
Format: Article
Language:English
Published: Universiti Putra Malaysia Press 1995
Online Access:http://psasir.upm.edu.my/id/eprint/3303/1/Component_Analyses_and_their_Implication.pdf
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author O. J., Ariyo
author_facet O. J., Ariyo
author_sort O. J., Ariyo
collection UPM
description 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.
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spelling upm.eprints-33032015-09-04T01:57:59Z http://psasir.upm.edu.my/id/eprint/3303/ Component analyses and their implication on the breeding of soya bean (Glycine max (L.) Merr) O. J., Ariyo 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. Universiti Putra Malaysia Press 1995 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/3303/1/Component_Analyses_and_their_Implication.pdf 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 http://www.pertanika.upm.edu.my/Pertanika%20PAPERS/JTAS%20Vol.%2018%20(3)%20Dec.%201995/JTAS%20Vol.18%20(3)%201995%20(Pg%20201-207).pdf
spellingShingle O. J., Ariyo
Component analyses and their implication on the breeding of soya bean (Glycine max (L.) Merr)
title Component analyses and their implication on the breeding of soya bean (Glycine max (L.) Merr)
title_full Component analyses and their implication on the breeding of soya bean (Glycine max (L.) Merr)
title_fullStr Component analyses and their implication on the breeding of soya bean (Glycine max (L.) Merr)
title_full_unstemmed Component analyses and their implication on the breeding of soya bean (Glycine max (L.) Merr)
title_short Component analyses and their implication on the breeding of soya bean (Glycine max (L.) Merr)
title_sort component analyses and their implication on the breeding of soya bean glycine max l merr
url http://psasir.upm.edu.my/id/eprint/3303/1/Component_Analyses_and_their_Implication.pdf
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