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Joint regression analysis applied to genotype stability evaluation over years

datacite.subject.sdg08:Trabalho Digno e Crescimento Económicopt_PT
dc.contributor.authorOliveira, Amilcar
dc.contributor.authorMejza, Stanislaw
dc.contributor.authorMexia, João Tiago
dc.contributor.authorOliveira, Teresa A.
dc.date.accessioned2023-07-31T12:09:36Z
dc.date.available2023-07-31T12:09:36Z
dc.date.issued2008
dc.description.abstractMost genotype differences connected with yield stability are due to genotype  environment interaction. The presence and dimension of this interaction are the factors that determine the performance of genotypes in distinct environments. The environmental factors, like annual rainfall, temperature, diseases or soil fertility, can only explain part of this interaction. Many statistical tools have been developed with the aim to explain the information contained in the GE interaction data matrix. In our work we use the Joint Regression Analysis (JRA), the Zig-Zag Algorithm to estimate the regression coefficients and the multiple comparison tests of Scheffé, Tukey and Bonferroni. We point out not just the limitations of the JRA when used year by year, but also genotype selection advantage from general JRA over years. Data of the Portuguese Plant Breeding Board were used to carry the year and over years analyses of yielding stability of 22 different genotypes of oat (Avena sativa L.) at six different locations in the years 2002, 2003 and 2004.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.urihttp://hdl.handle.net/10400.2/14667
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherBiuletyn Instytutu Hodowli i Aklimatyzacji Roslinpt_PT
dc.relation.publisherversionfile:///C:/Users/a1000/Downloads/Zastosowanie_analizy_regresji_lacznej_do_badania_stabilnosci_genotypow_w_doswiadczeniach_wieloletnich.pdfpt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectGenotype stabilitypt_PT
dc.subjectJoint regression analysispt_PT
dc.subjectOatpt_PT
dc.titleJoint regression analysis applied to genotype stability evaluation over yearspt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage236pt_PT
oaire.citation.startPage225pt_PT
oaire.citation.titleBiuletyn Instytutu Hodowli i Aklimatyzacji Roślinpt_PT
oaire.citation.volume250pt_PT
person.familyNameOliveira
person.familyNameOliveira
person.givenNameAmilcar
person.givenNameTeresa A.
person.identifier1155497
person.identifier.ciencia-id7110-61B4-B87F
person.identifier.ciencia-id8814-A54B-12DE
person.identifier.orcid0000-0001-5500-7742
person.identifier.orcid0000-0003-3283-9946
person.identifier.ridJ-3077-2019
person.identifier.scopus-author-id55675222550
person.identifier.scopus-author-id54403540300
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication1c873476-22fd-4331-8286-ff5576ac3b0c
relation.isAuthorOfPublication82b3cd70-88cc-4d31-b4b0-4705f8496c67
relation.isAuthorOfPublication.latestForDiscovery1c873476-22fd-4331-8286-ff5576ac3b0c

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