Literature DB >> 28601446

Strategies for implementing genomic selection for feed efficiency in dairy cattle breeding schemes.

S E Wallén1, M Lillehammer2, T H E Meuwissen3.   

Abstract

Alternative genomic selection and traditional BLUP breeding schemes were compared for the genetic improvement of feed efficiency in simulated Norwegian Red dairy cattle populations. The change in genetic gain over time and achievable selection accuracy were studied for milk yield and residual feed intake, as a measure of feed efficiency. When including feed efficiency in genomic BLUP schemes, it was possible to achieve high selection accuracies for genomic selection, and all genomic BLUP schemes gave better genetic gain for feed efficiency than BLUP using a pedigree relationship matrix. However, introducing a second trait in the breeding goal caused a reduction in the genetic gain for milk yield. When using contracted test herds with genotyped and feed efficiency recorded cows as a reference population, adding an additional 4,000 new heifers per year to the reference population gave accuracies that were comparable to a male reference population that used progeny testing with 250 daughters per sire. When the test herd consisted of 500 or 1,000 cows, lower genetic gain was found than using progeny test records to update the reference population. It was concluded that to improve difficult to record traits, the use of contracted test herds that had additional recording (e.g., measurements required to calculate feed efficiency) is a viable option, possibly through international collaborations.
Copyright © 2017 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  breeding scheme; feed efficiency; genomic selection

Mesh:

Year:  2017        PMID: 28601446     DOI: 10.3168/jds.2016-11458

Source DB:  PubMed          Journal:  J Dairy Sci        ISSN: 0022-0302            Impact factor:   4.034


  1 in total

1.  Genetic similarity of biological samples to counter bio-hacking of DNA-sequencing functionality.

Authors:  Mohd Siblee Islam; Stepan Ivanov; Eric Robson; Tríona Dooley-Cullinane; Lee Coffey; Kevin Doolin; Sasitharan Balasubramaniam
Journal:  Sci Rep       Date:  2019-06-18       Impact factor: 4.379

  1 in total

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