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Association of visual scores with reproductive traits in Nelore cattle using Bayesian Inference

dc.contributor.authorSoares, Byanka Bueno
dc.contributor.authorBrunes, Ludmilla Costa
dc.contributor.authorBaldi, Fernando Sebastian [UNESP]
dc.contributor.authorCarmo, Adriana Santana Do
dc.contributor.authorNarciso, Marcelo Gonçalves
dc.contributor.authorMagnabosco, Valentina Sanches
dc.contributor.authorSainz, Roberto Daniel
dc.contributor.authorMagnabosco, Cláudio Ulhoa
dc.contributor.institutionUniversidade Federal de Goiás (UFG)
dc.contributor.institutionEmbrapa Cerrados
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.contributor.institutionEmbrapa Arroz e Feijão
dc.contributor.institutionCentro Universitário Barão de Mauá
dc.contributor.institutionUniversity of California System
dc.date.accessioned2023-07-29T11:14:55Z
dc.date.available2023-07-29T11:14:55Z
dc.date.issued2023-05-08
dc.description.abstractThe use of morphological traits assessed using visual scores as indirect selection criteria in cattle has the advantage of evaluating young animals regarding potential productive and reproductive performance. This enables breeders to make earlier decisions compared to later measurements, such as scrotal circumference at 450 days (SC450) and stayability (STAY). The aim of this study was to estimate the genetic parameters for visual score traits and their associations with reproductive traits: scrotal circumference at 365 days of age (SC365), SC450, STAY, probability of precocious calving (PPC30) and age at first calving (AFC) in Nellore cattle. Visual score data from 4,175 Nellore cattle, with an average age of 22 months, and reproductive data from 3,075 cattle belonging to the HoRa Genetics Provada herd were used. The morphological traits were evaluated by the MERCOS methodology. The heritability estimates obtained ranged from 0.15 to 0.28 for visual scores and 0.10 to 0.54 for reproductive traits. Genetic correlations between visual scores and reproductive traits were generally low, except between: muscularity and PPC30; structure and STAY; racial and SC450; conformation and SC365, SC450, STAY, and AFC; navel and STAY and AFC; and sacrum and SC365, STAY, and AFC, which were moderate to high. The identification of animals with flat sacral bone (not protruding or sloping) can also be an efficient characteristic in the identification for early pregnancy, and together with the musculature score, they can be related to animals with lower age at the first calving.en
dc.description.affiliationUniversidade Federal de Goiás (UFG)
dc.description.affiliationEmbrapa Cerrados
dc.description.affiliationUniversidade Estadual Paulista (UNESP)
dc.description.affiliationEmbrapa Arroz e Feijão
dc.description.affiliationCentro Universitário Barão de Mauá
dc.description.affiliationUniversity of California System
dc.description.affiliationUnespUniversidade Estadual Paulista (UNESP)
dc.description.sponsorshipCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.description.sponsorshipIdCAPES: #23070.045460/2020-91
dc.format.extent-
dc.identifierhttp://dx.doi.org/10.1590/1809-6891v24e-75081E
dc.identifier.citationCiência Animal Brasileira. Universidade Federal de Goiás, v. 24, p. -, 2023.
dc.identifier.doi10.1590/1809-6891v24e-75081E
dc.identifier.fileS1809-68912023000100412.pdf
dc.identifier.issn1518-2797
dc.identifier.issn1809-6891
dc.identifier.scieloS1809-68912023000100412
dc.identifier.urihttp://hdl.handle.net/11449/244861
dc.language.isoeng
dc.publisherUniversidade Federal de Goiás
dc.relation.ispartofCiência Animal Brasileira
dc.rights.accessRightsAcesso aberto
dc.sourceSciELO
dc.subjectbeef cattleen
dc.subjectgenetic associationen
dc.subjectmorphological traitsen
dc.subjectsexual precocityen
dc.subjectstayabilityen
dc.titleAssociation of visual scores with reproductive traits in Nelore cattle using Bayesian Inferenceen
dc.typeArtigo
unesp.author.orcid0000-0001-6776-6746[1]
unesp.author.orcid0000-0001-9012-520X[2]
unesp.author.orcid0000-0003-4094-2011[3]
unesp.author.orcid0000-0002-2712-4789[4]
unesp.author.orcid0000-0003-4265-8006[5]
unesp.author.orcid0000-0002-1768-4731[6]
unesp.author.orcid0000-0003-1097-7280[7]
unesp.author.orcid0000-0002-7274-0134[8]

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