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Registro Completo |
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Biblioteca(s): |
Embrapa Mandioca e Fruticultura. |
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Data corrente: |
08/01/2002 |
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Data da última atualização: |
16/03/2023 |
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Autoria: |
HUSSEIN, M. A.; BJORNSTAD, A.; AASTVEIT, A. H. |
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Afiliação: |
Univ. of Norway. |
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Título: |
Sasg x estab: a sas program for computing genotype x environment stability statistics. |
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Ano de publicação: |
2000 |
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Fonte/Imprenta: |
Agronomy Journal, v.92, n.3, p.454-459, 2000. |
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Idioma: |
Inglês |
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Conteúdo: |
We provide a comprehensive SAS program for the computation of univariate and multivariate stability statistics for balanced data. The program is intended for genotype × location × year (G × L × Y) or genotype × location (G × L) data, averaged over replications (R). It computes the symmetrical joint linear regression with the right and left solutions and Tukey's 1 df for nonadditivity, the regression coefficients (b- or β-values), and the deviations from regression (δij) and provides the graphs of the regression lines for both genotypes and locations. Separate regression on the positive and negative sectors of the environmental indices is also conducted. The program calculates Tai's α and λ statistics with graphical presentation of the scatter of the genotypes in the α, λ space. Other outputs of the program include the univariate stability statistics Wricke's ecovalence (Wi2), Shukla's stability variance (σi2), Hanson's genotypic stability (Di2), Plaisted and Peterson's θi, Plaisted's θ(i), Francis and Kannenberg's environmental variance (Si2), and coefficient of variance (CV); and the rank-based nonparametric stability statistics Si(2), Si(3), Si(6), Kang's rank sum, and the stratified rank analysis of the genotypes. The program also computes Type 4 stability, superiority measure (Pi), the desirability index of genotype performance, and the pairwise genotype × environment (G × E) interaction of genotypes with checks. It partitions the G × E interaction into that due to heterogeneity of variances and that due to imperfect correlation between the genotype performance and performs the singular value decomposition of the G × E matrix, plotting the first two interactions? principal components. MenosWe provide a comprehensive SAS program for the computation of univariate and multivariate stability statistics for balanced data. The program is intended for genotype × location × year (G × L × Y) or genotype × location (G × L) data, averaged over replications (R). It computes the symmetrical joint linear regression with the right and left solutions and Tukey's 1 df for nonadditivity, the regression coefficients (b- or β-values), and the deviations from regression (δij) and provides the graphs of the regression lines for both genotypes and locations. Separate regression on the positive and negative sectors of the environmental indices is also conducted. The program calculates Tai's α and λ statistics with graphical presentation of the scatter of the genotypes in the α, λ space. Other outputs of the program include the univariate stability statistics Wricke's ecovalence (Wi2), Shukla's stability variance (σi2), Hanson's genotypic stability (Di2), Plaisted and Peterson's θi, Plaisted's θ(i), Francis and Kannenberg's environmental variance (Si2), and coefficient of variance (CV); and the rank-based nonparametric stability statistics Si(2), Si(3), Si(6), Kang's rank sum, and the stratified rank analysis of the genotypes. The program also computes Type 4 stability, superiority measure (Pi), the desirability index of genotype performance, and the pairwise genotype × environment (G × E) interaction of genotypes with checks. It partitions... Mostrar Tudo |
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Thesagro: |
Estatística; Melhoramento Vegetal. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 02279naa a2200169 a 4500
001 1650330
005 2023-03-16
008 2000 bl uuuu u00u1 u #d
100 1 $aHUSSEIN, M. A.
245 $aSasg x estab$ba sas program for computing genotype x environment stability statistics.$h[electronic resource]
260 $c2000
520 $aWe provide a comprehensive SAS program for the computation of univariate and multivariate stability statistics for balanced data. The program is intended for genotype × location × year (G × L × Y) or genotype × location (G × L) data, averaged over replications (R). It computes the symmetrical joint linear regression with the right and left solutions and Tukey's 1 df for nonadditivity, the regression coefficients (b- or β-values), and the deviations from regression (δij) and provides the graphs of the regression lines for both genotypes and locations. Separate regression on the positive and negative sectors of the environmental indices is also conducted. The program calculates Tai's α and λ statistics with graphical presentation of the scatter of the genotypes in the α, λ space. Other outputs of the program include the univariate stability statistics Wricke's ecovalence (Wi2), Shukla's stability variance (σi2), Hanson's genotypic stability (Di2), Plaisted and Peterson's θi, Plaisted's θ(i), Francis and Kannenberg's environmental variance (Si2), and coefficient of variance (CV); and the rank-based nonparametric stability statistics Si(2), Si(3), Si(6), Kang's rank sum, and the stratified rank analysis of the genotypes. The program also computes Type 4 stability, superiority measure (Pi), the desirability index of genotype performance, and the pairwise genotype × environment (G × E) interaction of genotypes with checks. It partitions the G × E interaction into that due to heterogeneity of variances and that due to imperfect correlation between the genotype performance and performs the singular value decomposition of the G × E matrix, plotting the first two interactions? principal components.
650 $aEstatística
650 $aMelhoramento Vegetal
700 1 $aBJORNSTAD, A.
700 1 $aAASTVEIT, A. H.
773 $tAgronomy Journal$gv.92, n.3, p.454-459, 2000.
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Registro original: |
Embrapa Mandioca e Fruticultura (CNPMF) |
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