B-spline polynomials models for analyzing growth patterns of Guzerat young bulls in field performance tests

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Autor(es): dc.contributorGuzerat Agriculture and Livestock Selection LTDA-
Autor(es): dc.contributorZambezi University-
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.contributorFederal University of Piauí – UFPI-
Autor(es): dc.contributorUniversidade Federal de Minas Gerais (UFMG)-
Autor(es): dc.creatorSousa, Ricardo Costa-
Autor(es): dc.creatorMagaço, Fernando dos Santos-
Autor(es): dc.creatorScalez, Daiane Cristina Becker-
Autor(es): dc.creatorCampelo, José Elivalto Guimarães-
Autor(es): dc.creatorde Assis, Clélia Soares-
Autor(es): dc.creatorPereira, Idalmo Garcia-
Data de aceite: dc.date.accessioned2025-08-21T23:01:51Z-
Data de disponibilização: dc.date.available2025-08-21T23:01:51Z-
Data de envio: dc.date.issued2025-04-29-
Data de envio: dc.date.issued2024-05-01-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.5713/ab.23.0279-
Fonte completa do material: dc.identifierhttps://hdl.handle.net/11449/297913-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/297913-
Descrição: dc.descriptionObjective: The aim of this study was to identify suitable polynomial regression for modeling the average growth trajectory and to estimate the relative development of the rib eye area, scrotal circumference, and morphometric measurements of Guzerat young bulls. Methods: A total of 45 recently weaned males, aged 325.8±28.0 days and weighing 219.9±38.05 kg, were evaluated. The animals were kept on Brachiaria brizantha pastures, received multiple supplementations, and were managed under uniform conditions for 294 days, with evaluations conducted every 56 days. The average growth trajectory was adjusted using ordinary polynomials, Legendre polynomials, and quadratic B-splines. The coefficient of determination, mean absolute deviation, mean square error, the value of the restricted likelihood function, Akaike information criteria, and consistent Akaike information criteria were applied to assess the quality of the fits. For the study of allometric growth, the power model was applied. Results: Ordinary polynomial and Legendre polynomial models of the fifth order provided the best fits. B-splines yielded the best fits in comparing models with the same number of parameters. Based on the restricted likelihood function, Akaike's information criterion, and consistent Akaike's information criterion, the B-splines model with six intervals described the growth trajectory of evaluated animals more smoothly and consistently. In the study of allometric growth, the evaluated traits exhibited negative heterogeneity (b<1) relative to the animals' weight (p<0.01), indicating the precocity of Guzerat cattle for weight gain on pasture. Conclusion: Complementary studies of growth trajectory and allometry can help identify when an animal's weight changes and thus assist in decision-making regarding management practices, nutritional requirements, and genetic selection strategies to optimize growth and animal performance.-
Descrição: dc.descriptionUniversidade Federal de Minas Gerais-
Descrição: dc.descriptionGuzerat Agriculture and Livestock Selection LTDA, Rua Benjamin Constant, 366, MG-
Descrição: dc.descriptionDepartment of Agriculture and Livestock Faculty of Agricultural Science Zambezi University-
Descrição: dc.descriptionDepartment of Animal Science Faculty of Agricultural and Veterinary Sciences (FCAV) Jaboticabal Universidade Estadual Paulista Júlio de Mesquita Filho, Unesp, SP-
Descrição: dc.descriptionDepartment of Animal Science Federal University of Piauí – UFPI, Piauí-
Descrição: dc.descriptionDepartment of Animal Science Veterinary School Federal University of Minas Gerais – UFMG, MG-
Descrição: dc.descriptionDepartment of Animal Science Faculty of Agricultural and Veterinary Sciences (FCAV) Jaboticabal Universidade Estadual Paulista Júlio de Mesquita Filho, Unesp, SP-
Formato: dc.format817-825-
Idioma: dc.languageen-
Relação: dc.relationAnimal Bioscience-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectAllometry-
Palavras-chave: dc.subjectB-Spline-
Palavras-chave: dc.subjectLegendre-
Palavras-chave: dc.subjectRandom Regression-
Palavras-chave: dc.subjectZebu-
Título: dc.titleB-spline polynomials models for analyzing growth patterns of Guzerat young bulls in field performance tests-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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