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A Bayesian approach for assessing the stability of genotypes

dc.contributor.authorCotes, Jose Miguel
dc.contributor.authorCrossa, Jose
dc.contributor.authorSanches, Adhemar
dc.contributor.authorCornelius, Paul L.
dc.contributor.institutionCIMMYT
dc.contributor.institutionNatl Univ Colombia
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionUniv Kentucky
dc.date.accessioned2014-05-20T15:24:34Z
dc.date.available2014-05-20T15:24:34Z
dc.date.issued2006-11-01
dc.description.abstractSeveral statistical models can be used for assessing genotype X environment interaction (GEI) and studying genotypic stability. The objectives of this research were to show how (i) to use Bayesian methodology for computing Shukla's phenotypic stability variance and (ii) to incorporate prior information on the parameters for better estimation. Potato [Solanum tuberosum subsp. andigenum (Juz. & Bukasov) Hawkes], wheat (Triticum aestivum L.), and maize (Zea mays L.) multi environment trials (MET) were used for illustrating the application of the Bayes paradigm. The potato trial included 15 genotypes, but prior information for just three genotypes was used. The wheat trial used prior information on all 10 genotypes included in the trial, whereas for the maize trial, noninformative priors for the nine genotypes was used. Concerning the posterior distribution of the genotypic means, the maize MET with 20 sites gave less disperse posterior distributions of the genotypic means than did the posterior distribution of the genotypic means of the other METs, which included fewer environments. The Bayesian approach allows use of other statistical strategies such as the normal truncated distribution (used in this study). When analyzing grain yield, a lower bound of zero and an upper bound set by the researcher's experience can be used. The Bayesian paradigm offers plant breeders the possibility of computing the probability of a genotype being the best performer. The results of this study show that although some genotypes may have a very low probability of being the best in all sites, they have a relatively good chance of being among the five highest yielding genotypes.en
dc.description.affiliationCIMMYT, Int Maize & Wheat Improvement Ctr, Biometr & Stat Unit, Mexico City 06600, DF, Mexico
dc.description.affiliationNatl Univ Colombia, Fac Ciências Agropecuarias, Dep Ciências Agron, Medellin, Colombia
dc.description.affiliationUniv Estado Paulista Julio Mesquita Filho, Fac Ciências Agr & Vet, BR-14884900 Jaboticabal, SP, Brazil
dc.description.affiliationUniv Kentucky, Dep Plant & Soil Sci, Lexington, KY 40546 USA
dc.description.affiliationUniv Kentucky, Dep Stat, Lexington, KY 40546 USA
dc.description.affiliationUnespUniv Estado Paulista Julio Mesquita Filho, Fac Ciências Agr & Vet, BR-14884900 Jaboticabal, SP, Brazil
dc.format.extent2654-2665
dc.identifierhttp://dx.doi.org/10.2135/cropsci2006.04.0227
dc.identifier.citationCrop Science. Madison: Crop Science Soc Amer, v. 46, n. 6, p. 2654-2665, 2006.
dc.identifier.doi10.2135/cropsci2006.04.0227
dc.identifier.issn0011-183X
dc.identifier.lattes1162137102390183
dc.identifier.orcid0000-0003-1120-364X
dc.identifier.urihttp://hdl.handle.net/11449/35159
dc.identifier.wosWOS:000242863500046
dc.language.isoeng
dc.publisherCrop Science Soc Amer
dc.relation.ispartofCrop Science
dc.relation.ispartofjcr1.635
dc.rights.accessRightsAcesso restritopt
dc.sourceWeb of Science
dc.titleA Bayesian approach for assessing the stability of genotypesen
dc.typeArtigopt
dcterms.licensehttps://www.crops.org/files/publications/cs/cs-instructions-to-authors-2013.pdf
dcterms.rightsHolderCrop Science Soc Amer
dspace.entity.typePublication
unesp.author.lattes1162137102390183[3]
unesp.author.orcid0000-0001-9429-5855[2]
unesp.author.orcid0000-0002-2211-846X[1]
unesp.author.orcid0000-0003-1120-364X[3]
unesp.campusUniversidade Estadual Paulista (UNESP), Faculdade de Ciências Agrárias e Veterinárias, Jaboticabalpt

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