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Principal component and cluster analyses to evaluate production and milk quality traits Rev. Ciênc. Agron.
Abreu,Bueno da Silva; Barbosa,Severino Benone Paes; Silva,Elizabete Cristina da; Santoro,Kleber Régis; Batista,Ângela Maria Vieira; Martinez,Rafael Leonardo Vargas.
ABSTRACT Using multivariate analyses, this study attempted to identify important traits explaining the relationship between milk production and quality produced by Holstein cows. Monthly milk records from three commercial dairy farms located in the Agreste region of Pernambuco, Brazil, collected in the period from 2007 to 2017, were used. A total of 5,872 observations regarding milk production, milk components and somatic cell score (SCS) were analyzed using principal component analysis (PCA) and cluster analysis. According to the former analysis, the first three principal components explained 79.69% of the total variation. Total solids content contributed 29.66% of the variation in the first principal component, while lactose content contributed 49.43% of...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Multivariate analysis; Dairy cattle; Milk composition.
Ano: 2020 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902020000300417
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