Statistical models in agriculture: biometrical methods for evaluating phenotypic stability in plant breeding
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| Format: | Artículo científico |
| Language: | en |
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Universidade Federal de Lavras
2006
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| _version_ | 1876478346046472192 |
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| author | Clarice Garcia Borges Demétrio |
| author_facet | Clarice Garcia Borges Demétrio |
| contents | Statistical models in agriculture: biometrical methods for evaluating phenotypic stability in plant breeding Clarice Garcia Borges Demétrio Bryan Frederick John Manly Amauri de Almeida Machado Daniel Furtado Ferreira Roland Vencovsky Agrociencias non AMMI linear regression models linear statistical models This paper reviews the main concepts of several methods of phenotypic stability analysis and points out theiradvantages and limitations. It was concluded that the simple linear regression method of Eberhart & Russel (1966) and the bisegmented regression method of Silva & Barreto (1985) have only historical importance nowadays. Moreover, based on factorsdiscussed in the paper, it is recommended that the regression models of Toler & Burrows (1998) and the Additive Main effects andMultiplicative Interactions (AMMI) model should be used simultaneously to study and to estimate phenotypic stability effects. 2006 artículo científico 0104-7760 https://www.redalyc.org/articulo.oa?id=74412409 en http://www.redalyc.org/revista.oa?id=744 CERNE application/pdf Universidade Federal de Lavras CERNE (Brasil) Num.4 Vol.12 |
| format | Artículo científico |
| id | redalyc_74412409 |
| institution | Redalyc |
| language | en |
| publishDate | 2006 |
| publisher | Universidade Federal de Lavras |
| spellingShingle | Statistical models in agriculture: biometrical methods for evaluating phenotypic stability in plant breeding Clarice Garcia Borges Demétrio Agrociencias non AMMI linear regression models linear statistical models Statistical models in agriculture: biometrical methods for evaluating phenotypic stability in plant breeding Clarice Garcia Borges Demétrio Bryan Frederick John Manly Amauri de Almeida Machado Daniel Furtado Ferreira Roland Vencovsky Agrociencias non AMMI linear regression models linear statistical models This paper reviews the main concepts of several methods of phenotypic stability analysis and points out theiradvantages and limitations. It was concluded that the simple linear regression method of Eberhart & Russel (1966) and the bisegmented regression method of Silva & Barreto (1985) have only historical importance nowadays. Moreover, based on factorsdiscussed in the paper, it is recommended that the regression models of Toler & Burrows (1998) and the Additive Main effects andMultiplicative Interactions (AMMI) model should be used simultaneously to study and to estimate phenotypic stability effects. 2006 artículo científico 0104-7760 https://www.redalyc.org/articulo.oa?id=74412409 en http://www.redalyc.org/revista.oa?id=744 CERNE application/pdf Universidade Federal de Lavras CERNE (Brasil) Num.4 Vol.12 |
| title | Statistical models in agriculture: biometrical methods for evaluating phenotypic stability in plant breeding |
| topic | Agrociencias non AMMI linear regression models linear statistical models |
| url | https://www.redalyc.org/articulo.oa?id=74412409 |