Statistical models in agriculture: biometrical methods for evaluating phenotypic stability in plant breeding

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dc.creatorClarice Garcia Borges Demétrio
dc.creatorBryan Frederick John Manly
dc.creatorAmauri de Almeida Machado
dc.creatorDaniel Furtado Ferreira
dc.creatorRoland Vencovsky
dc.date2006
dc.date.accessioned2026-07-07T02:39:56Z
dc.descriptionThis 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.
dc.formatapplication/pdf
dc.identifier0104-7760
dc.identifierhttps://www.redalyc.org/articulo.oa?id=74412409
dc.identifier.urihttp://hdl.handle.net/123456789/420880
dc.languageen
dc.publisherUniversidade Federal de Lavras
dc.relationhttp://www.redalyc.org/revista.oa?id=744
dc.rightsCERNE
dc.sourceCERNE (Brasil) Num.4 Vol.12
dc.subjectAgrociencias
dc.titleStatistical models in agriculture: biometrical methods for evaluating phenotypic stability in plant breeding
dc.typeartículo científico

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