Literature DB >> 34189417

Effects of management decisions on genetic evaluation of simulated calving records using random regression.

Michael D MacNeil1,2,3, Justin W Buchanan1, Matthew L Spangler4, El Hamidi Hay5.   

Abstract

The objective of this study was to evaluate the effects of various data structures on the genetic evaluation for the binary phenotype of reproductive success. The data were simulated based on an existing pedigree and an underlying fertility phenotype with a heritability of 0.10. A data set of complete observations was generated for all cows. This data set was then modified mimicking the culling of cows when they first failed to reproduce, cows having a missing observation at either their second or fifth opportunity to reproduce as if they had been selected as donors for embryo transfer, and censoring records following the sixth opportunity to reproduce as in a cull-for-age strategy. The data were analyzed using a third-order polynomial random regression model. The EBV of interest for each animal was the sum of the age-specific EBV over the first 10 observations (reproductive success at ages 2-11). Thus, the EBV might be interpreted as the genetic expectation of number of calves produced when a female is given 10 opportunities to calve. Culling open cows resulted in the EBV for 3-yr-old cows being reduced from 8.27 ± 0.03 when open cows were retained to 7.60 ± 0.02 when they were culled. The magnitude of this effect decreased as cows grew older when they first failed to reproduce and were subsequently culled. Cows that did not fail over the 11 yr of simulated data had an EBV of 9.43 ± 0.01 and 9.35 ± 0.01 based on analyses of the complete data and the data in which cows that failed to reproduce were culled, respectively. Cows that had a missing observation for their second record had a significantly reduced EBV, but the corresponding effect at the fifth record was negligible. The current study illustrates that culling and management decisions, and particularly those that affect the beginning of the trajectory of sustained reproductive success, can influence both the magnitude and accuracy of resulting EBV. Published by Oxford University Press on behalf of the American Society of Animal Science 2021.

Entities:  

Keywords:  estimated breeding value; reproduction; simulation

Year:  2021        PMID: 34189417      PMCID: PMC8223598          DOI: 10.1093/tas/txab078

Source DB:  PubMed          Journal:  Transl Anim Sci        ISSN: 2573-2102


  11 in total

1.  A prototype national cattle evaluation for sustained reproductive success in Hereford cattle.

Authors:  M D MacNeil; N Vukasinovic
Journal:  J Anim Sci       Date:  2011-01-28       Impact factor: 3.159

2.  Selection for postweaning growth in inbred Hereford cattle: the Fort Keogh, Montana line 1 example.

Authors:  M D MacNeil; J J Urick; S Newman; B W Knapp
Journal:  J Anim Sci       Date:  1992-03       Impact factor: 3.159

3.  Random regression models: a longitudinal perspective.

Authors:  L R Schaeffer; J Jamrozik
Journal:  J Anim Breed Genet       Date:  2008-06       Impact factor: 2.380

4.  Estimates of genetic parameters for stayability to consecutive calvings of Canadian Simmentals by random regression models.

Authors:  J Jamrozik; S McGrath; R A Kemp; S P Miller
Journal:  J Anim Sci       Date:  2013-07-23       Impact factor: 3.159

5.  Genetic parameters for a maternal breeding goal in beef production.

Authors:  T Roughsedge; P R Amer; R Thompson; G Simm
Journal:  J Anim Sci       Date:  2005-10       Impact factor: 3.159

6.  Genetic variation and covariation in beef cow and bull fertility.

Authors:  M J Mackinnon; J F Taylor; D J Hetzel
Journal:  J Anim Sci       Date:  1990-05       Impact factor: 3.159

7.  A Markovian decision model for beef cattle replacement that considers spring and fall calving.

Authors:  S M Azzam; A M Azzam
Journal:  J Anim Sci       Date:  1991-06       Impact factor: 3.159

Review 8.  Invited review: research contributions from seventy-five years of breeding Line 1 Hereford cattle at Miles City, Montana.

Authors:  M D MacNeil
Journal:  J Anim Sci       Date:  2009-04-24       Impact factor: 3.159

9.  Within-herd genetic analyses of stayability of beef females.

Authors:  W M Snelling; B L Golden; R M Bourdon
Journal:  J Anim Sci       Date:  1995-04       Impact factor: 3.159

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