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Genotype-environment interaction in the genetic variability analysis of reproductive traits in Nellore cattle

dc.contributor.authorSilva, Thales de Lima [UNESP]
dc.contributor.authorSouza Carneiro, Paulo Luiz
dc.contributor.authorAmbrosini, Diego Pagung
dc.contributor.authorLobo, Raysildo Barbosa
dc.contributor.authorMartins Filho, Raimundo
dc.contributor.authorMendes Malhado, Carlos Henrique
dc.contributor.institutionState Univ Southwest Bahia
dc.contributor.institutionFed Inst Amapa
dc.contributor.institutionNatl Assoc Breeders & Researchers
dc.contributor.institutionUniv Fed Ceara
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2020-12-10T17:02:24Z
dc.date.available2020-12-10T17:02:24Z
dc.date.issued2019-12-01
dc.description.abstractThe research aim was to evaluate the genotype-environment interactions (GxE) through a study of the reaction norms of Nellore cattle raised in the North and Northeast regions of Brazil at the age at first calving (AFC), with scrotal circumference at 365 and 450 days of age (SC365 and SC450), gestation length (GL) and accumulated productivity (ACP). Bayes hierarchical models with defined parameters at structured levels or stages were used. The Markov chain Monte Carlo method was used to obtain genetic parameter estimates. The environmental gradient of each trait was defined using a 99% credibility interval of the contemporary group's solutions. The animal model showed a better fit for AFC data, and the two-step reaction norms model was the best for the other characteristics. Heritabilities were 0.21 +/- 0.01 for AFC; and ranged from 0.27 +/- 0.04 to 0.58 +/- 0.02, 0.26 +/- 0.05 to 0.57 +/- 0.02, 81 +/- 0.03 to 0.03 +/- 0.02, 0.05 +/- 0.02 to 0.86 +/- 0.03 along the environmental gradient for SC365, SC450, GL and ACP, respectively. Correlations between intercept and slope of the reaction norms allied with reaction norms graphic plots of the ten sires with the greatest number of calves suggest the presence of GxE complex for SC365 and SC450, and thcE scale effect for GL and ACP. However, high correlations between the environments indicate that the GxE for SC450 and ACP is of a low magnitude and its inclusion in genetic evaluations would not influence the population selection.en
dc.description.affiliationState Univ Southwest Bahia, Itapetinga, BA, Brazil
dc.description.affiliationState Univ Southwest Bahia, Dept Biol Sci, Jequie, BA, Brazil
dc.description.affiliationFed Inst Amapa, Porto Grande, Amapa, Brazil
dc.description.affiliationNatl Assoc Breeders & Researchers, Ribeirao Preto, SP, Brazil
dc.description.affiliationUniv Fed Ceara, Juazeiro Do Norte, Ceara, Brazil
dc.description.affiliationSao Paulo State Univ Unesp, Sch Agr & Vet Sci, Jaboticabal, SP, Brazil
dc.description.affiliationUnespSao Paulo State Univ Unesp, Sch Agr & Vet Sci, Jaboticabal, SP, Brazil
dc.description.sponsorshipCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.description.sponsorshipIdCAPES: 001
dc.format.extent6
dc.identifierhttp://dx.doi.org/10.1016/j.livsci.2019.103825
dc.identifier.citationLivestock Science. Amsterdam: Elsevier, v. 230, 6 p., 2019.
dc.identifier.doi10.1016/j.livsci.2019.103825
dc.identifier.issn1871-1413
dc.identifier.urihttp://hdl.handle.net/11449/195031
dc.identifier.wosWOS:000501656800010
dc.language.isoeng
dc.publisherElsevier B.V.
dc.relation.ispartofLivestock Science
dc.sourceWeb of Science
dc.subjectBayesian inference
dc.subjectBos indicus
dc.subjectEnvironmental sensitivity
dc.subjectPhenotypic plasticity
dc.subjectReaction norms
dc.titleGenotype-environment interaction in the genetic variability analysis of reproductive traits in Nellore cattleen
dc.typeArtigopt
dcterms.licensehttp://www.elsevier.com/about/open-access/open-access-policies/article-posting-policy
dcterms.rightsHolderElsevier B.V.
dspace.entity.typePublication
unesp.campusUniversidade Estadual Paulista (UNESP), Faculdade de Ciências Agrárias e Veterinárias, Jaboticabalpt

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