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      Extensão bivariada do índice de confiabilidade univariado para avaliação da estabilidade fenotípica Translated title: Bivariate extension of univariate reliability index for evaluating phenotypic stability

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          Abstract

          Com o presente trabalho, objetiva-se realizar a derivação teórica da extensão bivariada dos métodos de Annicchiarico (1992) e Annicchiarico et al. (1995) para estudar a estabilidade fenotípica. A partir dos ensaios com <img src="/img/revistas/cagro/v28n5/a11res01.gif" align=texttop>genótipos em <img src="/img/revistas/cagro/v28n5/a11res02.gif" align=texttop>ambientes e mensurações de duas variáveis, cada genótipo teve seu valor padronizado com relação a cada variável k = 1, 2. Essa padronização foi realizada em função da média do ambiente, da seguinte forma: Wijk = Yijk/<img src="/img/revistas/cagro/v28n5/a11res03.gif" align=top>×100 ; em que Wijk representa o valor padronizado do genótipo i, no ambiente j para a variável k; <img src="/img/revistas/cagro/v28n5/a11res04.gif" align=top>representa a média observada do genótipo <img src="/img/revistas/cagro/v28n5/a11res05.gif" align=texttop>, no ambiente <img src="/img/revistas/cagro/v28n5/a11res06.gif" align=texttop>para a variável k e <img src="/img/revistas/cagro/v28n5/a11res07.gif" align=texttop>, a média de todos genótipos para o ambiente <img src="/img/revistas/cagro/v28n5/a11res06.gif" align=texttop>e variável k. Com os valores padronizados foram estimados o vetor média e a matriz de variância e covariância de cada genótipo. Foi obtida a derivação teórica da extensão bivariada do índice de risco (Ii) de Annicchiarico com sucesso e foi proposto um segundo índice de risco baseado nas probabilidades bivariada (Prb i); os dois índices apresentaram grande concordância nos resultados obtidos em um exemplo ilustrativo com genótipos de melões.

          Translated abstract

          The objective of this work was to obtain the theoretical derivation of the bivariate extension to the methods proposed by Annicchiarico (1992) and Annicchiarico et al. (1995) for studing phenotypic stability. Considering assays with <img src="/img/revistas/cagro/v28n5/a11res01.gif" align=texttop>genotypes in <img src="/img/revistas/cagro/v28n5/a11res02.gif" align=texttop>environments and two variates, every genotype had the response of each variate (k = 1, 2) standardized. This standardization has been made using the environment means as follows: Wijk = Yijk/<img src="/img/revistas/cagro/v28n5/a11res03.gif" align=top>×100 ; where Wijk represents the ith genotype standard value in the jth environment for the kth variate; <img src="/img/revistas/cagro/v28n5/a11res04.gif" align=top>represents the observed mean of the ith genotype, in jth environment for the kth variate e <img src="/img/revistas/cagro/v28n5/a11res07.gif" align=texttop>the overall genotypes means for jth environment to kth variate. Considering the standardized values, the genotypes mean vector and covariance matrix were estimated. The theoretical derivation of the bivariate reliability index (Ii) of Annicchiarico was wasked out and a second risk index was proposed based on the bivariate probabilities (Prb i); the two indexes proposed has shown good agreement to the results in an example with melon genotypes.

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          Cultivar adaptation and recommendation írom alíala trials in Northern Italy

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            Cultivar adaptation and recommendation from alfalfa trials in Northern Italy

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              Statistical analysis of multilocation trials.

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                Author and article information

                Contributors
                Role: ND
                Role: ND
                Role: ND
                Role: ND
                Journal
                cagro
                Ciência e Agrotecnologia
                Ciênc. agrotec.
                Editora da Universidade Federal de Lavras (Lavras )
                1981-1829
                October 2004
                : 28
                : 5
                : 1047-1052
                Affiliations
                [1 ] Universidade Federal de Lavras Brazil
                [2 ] Universidade Federal de Lavras Brazil
                [3 ] Universidade Federal de Lavras Brazil
                [4 ] Embrapa
                [5 ] Universidade Federal de Lavras Brazil
                Article
                S1413-70542004000500011
                10.1590/S1413-70542004000500011
                41d65dc3-ea93-4e8d-a769-3d13c4d89dd9

                http://creativecommons.org/licenses/by/4.0/

                History
                Product

                SciELO Brazil

                Self URI (journal page): http://www.scielo.br/scielo.php?script=sci_serial&pid=1413-7054&lng=en
                Categories
                AGRICULTURE, MULTIDISCIPLINARY

                General agriculture
                componentes principais,Reliability index,bivariate normal distribution,principal components,Índice de risco,distribuição normal bivariada

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