Literature DB >> 24679937

Incorporating heifer feed efficiency in the Australian selection index using genomic selection.

O Gonzalez-Recio1, J E Pryce2, M Haile-Mariam3, B J Hayes2.   

Abstract

The economic benefit of expanding the Australian Profit Ranking (APR) index to include residual feed intake (RFI) was evaluated using a multitrait selection index. This required the estimation of genetic parameters for RFI and genetic correlations using single nucleotide polymorphism data (genomic) correlations with other traits. Heritabilities of RFI, dry matter intake (DMI), and all the traits in the APR (milk, fat, and protein yields; somatic cell count; fertility; survival; milking speed; and temperament), and genomic correlations between these traits were estimated using a Bayesian framework, using data from 843 growing Holstein heifers with phenotypes for DMI and RFI, and bulls with records for the other traits. Heritability estimates of DMI and RFI were 0.44 and 0.33, respectively, and the genomic correlation between them was 0.03 and nonsignificant. The genomic correlations between the feed-efficiency traits and milk yield traits were also close to zero, ranging between -0.11 and 0.10. Positive genomic correlations were found for DMI with stature (0.16) and with overall type (0.14), suggesting that taller cows eat more as heifers. One issue was that the genomic correlation estimates for RFI with calving interval (ClvI) and with body condition score were both unfavorable (-0.13 and 0.71 respectively), suggesting an antagonism between feed efficiency and fertility. However, because of the relatively small numbers of animals in this study, a large 95% probability interval existed for the genomic correlation between RFI and ClvI (-0.66, 0.36). Given these parameters, and a genetic correlation between heifer and lactating cow RFI of 0.67, inclusion of RFI in the APR index would reduce RFI by 1.76 kg/cow per year. Including RFI in the APR would result in the national Australian Holstein herd consuming 1.73 × 10(6) kg less feed, which is worth 0.55 million Australian dollars (A$) per year and is 3% greater than is currently possible to achieve. Other traits contributing to profitability, such as milk production and fertility, will also improve through selection on this index; for example, ClvI would be reduced by 0.53 d/cow per year, which is 96% of the gain for this trait that is achieved without RFI in the APR.
Copyright © 2014 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  feed efficiency; genomic selection; profitability; residual feed intake; selection index

Mesh:

Year:  2014        PMID: 24679937     DOI: 10.3168/jds.2013-7515

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


  5 in total

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Journal:  Animal       Date:  2014-11-12       Impact factor: 3.240

2.  Effects of Incorporating Dry Matter Intake and Residual Feed Intake into a Selection Index for Dairy Cattle Using Deterministic Modeling.

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Journal:  Animals (Basel)       Date:  2021-04-17       Impact factor: 2.752

3.  Sharing of either phenotypes or genetic variants can increase the accuracy of genomic prediction of feed efficiency.

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Journal:  Genet Sel Evol       Date:  2022-09-06       Impact factor: 5.100

Review 4.  Behavioural Traits in Bos taurus Cattle, Their Heritability, Potential Genetic Markers, and Associations with Production Traits.

Authors:  Frances Margaret Titterington; Rachel Knox; Steven James Morrison; Masoud Shirali
Journal:  Animals (Basel)       Date:  2022-09-28       Impact factor: 3.231

5.  Genomic correlation: harnessing the benefit of combining two unrelated populations for genomic selection.

Authors:  Laercio R Porto-Neto; William Barendse; John M Henshall; Sean M McWilliam; Sigrid A Lehnert; Antonio Reverter
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  5 in total

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