Image from Google Jackets

Comparison of three methods used for the study of adaptation and phenotypic stability in the common bean (Phaseolus vulgaris L.)

By: Contributor(s): Material type: ArticleArticleLanguage: English Description: 15(1):125-136Subject(s): LOC classification:
  • 42092
Online resources: In: Revista Brasileira de GeneticaSummary: The objective of the present work was to compare the acuity of 3 different methods of studying phenotypic stability for determining the variability in av. yield data of the common bean. Data from 12 preliminary yield trials of 76 common bean genotypes grown in 8 Brazilian locations were used. Two classical procedures based on linear regression analysis and the recent proposition of bisegmented linear regression were studied. Based on the proportion of estimates of coefficients of determination that were statistically significant or non significant for the genotypes studied, as well as on the magnitude of such estimates, it was concluded that the segmented linear regression procedure was slightly superior to the methods based on linear regression analysis. The 2 methods of linear regression showed similar results. The advantage of the bisegmented linear regression method was more evident when the behaviour of the genotypes in response to the environmental variation did not follow linearity. (AS)
Tags from this library: No tags from this library for this title.
Star ratings
    Average rating: 0.0 (0 votes)
Holdings
Item type Current library Collection Call number Copy number Status Date due Barcode Item holds
Journal Article Journal Article CIAT Library Document collection CINFOS Document Collection CINFOS 42092 (Browse shelf(Opens below)) c.1 Short Loan 100065437
Total holds: 0

The objective of the present work was to compare the acuity of 3 different methods of studying phenotypic stability for determining the variability in av. yield data of the common bean. Data from 12 preliminary yield trials of 76 common bean genotypes grown in 8 Brazilian locations were used. Two classical procedures based on linear regression analysis and the recent proposition of bisegmented linear regression were studied. Based on the proportion of estimates of coefficients of determination that were statistically significant or non significant for the genotypes studied, as well as on the magnitude of such estimates, it was concluded that the segmented linear regression procedure was slightly superior to the methods based on linear regression analysis. The 2 methods of linear regression showed similar results. The advantage of the bisegmented linear regression method was more evident when the behaviour of the genotypes in response to the environmental variation did not follow linearity. (AS)

Powered by Koha