Document Detail

Predicting energy balance for dairy cows using high-density single nucleotide polymorphism information.
MedLine Citation:
PMID:  20494185     Owner:  NLM     Status:  MEDLINE    
The objective of this study was to investigate the genetic basis of energy balance (EB) and the potential use of genomic selection to enable EB to be incorporated into selection programs. Energy balance provides an essential link between production and nonproduction traits because both depend on a common source of energy. A small number (527) of Dutch Holstein-Friesian heifers with phenotypes for EB were genotyped. Direct genomic values were predicted for these heifers using a model that included the genotypic information. A polygenic model was also applied to predict estimated breeding values using only pedigree information. A 10-fold cross-validation approach was employed to assess the accuracies of the 2 sets of predicted breeding values by correlating them with phenotypes. Because of the small number of phenotypes, accuracies were relatively low (0.29 for the direct genomic values and 0.21 for the estimated breeding values), where the maximum possible accuracy was the square root of heritability (0.57). Despite this, the genomic model produced breeding values with reliability double that of the breeding values produced by the polygenic model. To increase the accuracy of the genomic breeding values and make it possible to select for EB, measurement and recording of EB would need to improve. The study suggests that it may be possible to select for minimally recorded traits; for instance, those measured on experimental farms, using genomic selection. Overall, the study demonstrated that genomic selection could be used to select for EB, confirming its genetic background.
K L Verbyla; M P L Calus; H A Mulder; Y de Haas; R F Veerkamp
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Journal of dairy science     Volume:  93     ISSN:  1525-3198     ISO Abbreviation:  J. Dairy Sci.     Publication Date:  2010 Jun 
Date Detail:
Created Date:  2010-05-24     Completed Date:  2010-09-03     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  2985126R     Medline TA:  J Dairy Sci     Country:  United States    
Other Details:
Languages:  eng     Pagination:  2757-64     Citation Subset:  IM    
Copyright Information:
2010 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.
Animal Breeding and Genomics Centre, Wageningen UR Livestock Research, Lelystad 8200AB, The Netherlands.
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MeSH Terms
Breeding / methods
Cattle / genetics*,  metabolism
Energy Metabolism / genetics*
Models, Genetic
Polymorphism, Single Nucleotide / genetics*
Quantitative Trait Loci / genetics
Quantitative Trait, Heritable

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

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