Development and evaluation of models to estimate body chemical composition of young Nellore bulls

Página do item simplificado
dc.contributor.authorSilva, Luiz Henrique Oliveira
dc.contributor.authorBonilha, Sarah Figueiredo Martins
dc.contributor.authorBranco, Renata Helena
dc.contributor.authorCyrillo, Joslaine Noely dos Santos Gonçalves
dc.contributor.authorMercadante, Maria Eugênia Zerlotti
dc.date.accessioned2024-05-20T11:01:25Z
dc.date.available2024-05-20T11:01:25Z
dc.date.issued2017
dc.description.abstractABSTRACT The objective of this study was to develop accurate regression equations to predict body composition of Nellore cattle using chemical composition of the 9th, 10th, and 11th ribs and to evaluate the models proposed by analyzing mean and linear bias. Sixty-seven Nellore bulls were slaughtered and slaughter body weight (SBW), hot carcass weight (HCW), and 9th-, 10th-, and 11th-rib-cut weight (RCW) were measured. Empty body composition was obtained after grinding, homogenizing, sampling, chemical analysis, and pooling (blood, skin, head + feet, viscera, and carcass). Chemical components were determined in rib cut, carcass, and empty body: protein (RCP, HCP, and EBP), fat (RCF, HCF, and EBF), ash (RCA, HCA, and EBA), and water (RCWt, HCWt, and EBWt). Stepwise options were used to determine variables to be included and excluded from regressions. Predictive ability of equations was verified using standard error of prediction, coefficient of determination, and Cp statistic. Regression estimates were tested to evaluate the models in a database different from that used for equation development. The best equations found to predict carcass components, in kg, were: HCF = -0.994 + 0.123 × SBW - 9.201 × RCW + 34.249 × RCF (R² = 0.86) and HCWt = 2.733 - 0.172 × SBW + 0.821 × HCW - 23.939 × RCF + 12.186 × RCWt (R² = 0.96). For empty body, the best equations, in kg, were: EBF = -1.4 + 0.166 × SBW - 10.073 × RCW + 40.202 × RCF (R² = 0.90) and EBWt = 3.524 + 0.272 × SBW + 0.373 × HCW - 11.727 × RCW + 31.079 × RCWt (R² = 0.98). Body weight has a high predictive power and should be included in equations to estimate body composition of Nellore cattle. Unbiased models are valid as an indirect method for determining body composition in beef cattle.
dc.identifier.doi10.1590/s1806-92902017000200011
dc.identifier.issn1516-3598
dc.identifier.otherS1516-35982017000200156-scl
dc.identifier.urihttps://repositorio-aptaregional.agricultura.sp.gov.br/handle/123456789/2107
dc.relation.ispartofRevista Brasileira de Zootecnia
dc.subjectbeef cattle
dc.subjectfeedlot
dc.subjectindirect determination
dc.titleDevelopment and evaluation of models to estimate body chemical composition of young Nellore bulls
dc.typeArtigos
oaire.citation.endPage166
oaire.citation.issue2
oaire.citation.startPage156
oaire.citation.volume46

Arquivos

Licença do Pacote
Agora exibindo 1 - 1 de 1
Nenhuma Miniatura disponível
Nome:
license.txt
Tamanho:
1.71 KB
Formato:
Item-specific license agreed to upon submission
Descrição:
Baixar

Coleções

Artigos