Use of Multivariate Analysis to Extract Latent Variables Related to Level of Production and Lactation Persistency in Dairy Cattle

Multivariate factor analysis and principal component analysis were used to decompose the correlation matrix of test-day milk yields of 48,374 lactations of 21,721 Italian Simmental cows. Two common latent factors related to level of production in early lactation and lactation persistency, and 2 prin...

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Veröffentlicht in:	Journal of dairy science 2006-08, Vol.89 (8), p.3188-3194
Hauptverfasser:	Macciotta, N.P.P., Vicario, D., Cappio-Borlino, A.
Format:	Artikel
Sprache:	eng
Schlagworte:	Analysis of Variance Animal productions Animals Biological and medical sciences Cattle - genetics Cattle - physiology Dairy cattle dairy cows early lactation factor analysis Female Food industries Fundamental and applied biological sciences. Psychology heritability Italy Lactation - genetics Lactation - physiology lactation curve lactation persistency Milk - chemistry Milk and cheese industries. Ice creams milk yield Models, Biological Multivariate analysis Phenotype principal component analysis Quantitative Trait, Heritable Simmental statistical analysis Terrestrial animal productions Vertebrates
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