Relationship between reproductive and productive traits in Holstein cattle using multivariate analysis

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Estadual Paulista (Unesp)-
Autor(es): dc.contributorFdn Univ Agr Colombia-
Autor(es): dc.contributorInst Zootecnia-
Autor(es): dc.creatorDominguez-Castano, Pablo [UNESP]-
Autor(es): dc.creatorVargas de Oliveira, Matheus Henrique [UNESP]-
Autor(es): dc.creatorEl Faro, Lenira-
Autor(es): dc.creatorVasconcelos Silva, Josineudson Augusto de [UNESP]-
Data de aceite: dc.date.accessioned2022-02-22T00:10:25Z-
Data de disponibilização: dc.date.available2022-02-22T00:10:25Z-
Data de envio: dc.date.issued2020-12-09-
Data de envio: dc.date.issued2020-12-09-
Data de envio: dc.date.issued2020-04-17-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1111/rda.13679-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/196778-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/196778-
Descrição: dc.descriptionMultivariate procedures are used for the extraction of variables from the correlation matrix of phenotypes in order to identify those traits that explain the largest proportion of phenotypic variation and to evaluate the relationship structure between these traits. The reproductive traits (days from calving to first estrus [CFE], days from calving to last service [CLS], calving interval [CI] and gestation length [GL]) and milk production traits (milk yield at 305 days of lactation [MY305], peak yield [PY] and milk yield per day of calving interval [MYCI]) of 5,217 Holstein females (primiparous and multiparous) were measured. Principal component analysis (PCA) and factor analysis of the correlation matrix were used to estimate the correlation between traits. Analysis grouped the seven traits into three principal components and four latent factors that retained approximately 81.5% and 88.9% of the total variation of the data, respectively. The production variables exhibited positive phenotypic correlation coefficients of high magnitude (>.67). The phenotypic correlation estimates between the productive and reproductive traits were low, ranging from .13 to .22. A strong association (.99) was observed between CLS and CI. Our results indicate that multivariate analysis was effective in generating correlations between the traits studied, grouping the seven traits in a smaller number of variables that retained approximately 81% of the total variation of the data.-
Descrição: dc.descriptionCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)-
Descrição: dc.descriptionUniv Estadual Paulista, Fac Ciencias Agr & Vet, Dept Zootecnia, BR-14884900 Jaboticabal, SP, Brazil-
Descrição: dc.descriptionFdn Univ Agr Colombia, Fac Ciencias Agr, Bogota, Colombia-
Descrição: dc.descriptionInst Zootecnia, Sertaozinho, Sao Pau, Brazil-
Descrição: dc.descriptionUniv Estadual Paulista, Fac Med Vet & Zootecnia, Dept Melhoramento & Nutr Anim, Botucatu, SP, Brazil-
Descrição: dc.descriptionUniv Estadual Paulista, Fac Ciencias Agr & Vet, Dept Zootecnia, BR-14884900 Jaboticabal, SP, Brazil-
Descrição: dc.descriptionUniv Estadual Paulista, Fac Med Vet & Zootecnia, Dept Melhoramento & Nutr Anim, Botucatu, SP, Brazil-
Formato: dc.format770-776-
Idioma: dc.languageen-
Publicador: dc.publisherWiley-Blackwell-
Relação: dc.relationReproduction In Domestic Animals-
???dc.source???: dc.sourceWeb of Science-
Palavras-chave: dc.subjectcorrelation-
Palavras-chave: dc.subjectdairy cattle-
Palavras-chave: dc.subjectmultivariate statistics-
Palavras-chave: dc.subjectproduction-
Palavras-chave: dc.subjectreproduction-
Título: dc.titleRelationship between reproductive and productive traits in Holstein cattle using multivariate analysis-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

Não existem arquivos associados a este item.