Document Detail


Use of multivariate analysis to extract latent variables related to level of production and lactation persistency in dairy cattle.
MedLine Citation:
PMID:  16840636     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
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 principal components associated with the whole lactation yield and persistency were obtained. Factor and principal component scores were treated as new quantitative phenotypes related to prominent features of lactation curve shape. Genetic parameters were estimated by univariate and bivariate animal models. Estimates of heritability were moderately low for both latent factors (0.13 for persistency and yield early in lactation). Heritabilities of the principal component related to total lactation yield and 305-d yield were similar (0.19 and 0.20, respectively). Finally, heritability was quite low for the principal component related to lactation persistency (0.07). Repeatabilities between lactations were about 0.27 for both latent factors, around 0.4 for the first principal component and 305-d yield, and 0.11 for the second principal component. Moderate genetic correlation among common factors (0.26) and their high genetic correlation with total lactation yield (>0.60) suggest that selection can be used to change the shape of lactation curve as well as improve yield. Scores of the second principal component can be used to genetically improve persistency while maintaining constant total lactation yield.
Authors:
N P P Macciotta; D Vicario; A Cappio-Borlino
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Journal of dairy science     Volume:  89     ISSN:  1525-3198     ISO Abbreviation:  J. Dairy Sci.     Publication Date:  2006 Aug 
Date Detail:
Created Date:  2006-07-14     Completed Date:  2006-10-13     Revised Date:  2006-11-15    
Medline Journal Info:
Nlm Unique ID:  2985126R     Medline TA:  J Dairy Sci     Country:  United States    
Other Details:
Languages:  eng     Pagination:  3188-94     Citation Subset:  IM    
Affiliation:
Dipartimento di Scienze Zootecniche, Università di Sassari, Via De Nicola 9, 07100 Sassari, Italy. macciott@uniss.it
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MeSH Terms
Descriptor/Qualifier:
Analysis of Variance*
Animals
Cattle / genetics*,  physiology*
Female
Italy
Lactation / genetics*,  physiology*
Milk / chemistry
Models, Biological
Phenotype
Quantitative Trait, Heritable

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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