Literature DB >> 24663204

Validation of national genetic evaluations for maternal beef cattle traits using Irish field data.

N McHugh1, A R Cromie, R D Evans, D P Berry.   

Abstract

Genetic evaluations provide information to aid in breeding decisions that increase long-term performance of animals and herds. However, to date no study has been undertaken to investigate the accuracy of the Irish maternal genetic evaluations in beef cattle. The objective, therefore, of this study was to quantify the relationship between phenotypic performance and measures of genetic merit for predominantly maternal-related traits in Irish beef cattle. The association between animal EBV for calving interval, age at first calving, and both direct and maternal weaning weight with the respective phenotypic performance was quantified using a fixed effects model; the expectation for the regression coefficient of phenotypic performance on EBV was one. The association between genetic merit for cow survival, perinatal mortality, calving assistance, and calving dystocia with the log of the odds of the respective trait was quantified using logistic regression. The association analyses were conducted using field data on up to 38,619 records from 5,236 herds. Age at first calving increased linearly by 0.32 ± 0.15 (P = 0.03) days per day increase in EBV for age at first calving. Calving interval increased by, on average, 0.58 ± 0.16 (P = 0.002) days per day increase in EBV for calving interval although the association differed by parity with a greater association in pluriparae. Weaning weight increased linearly by 1.74 ± 0.09 and 0.84 ± 0.16 kg (P < 0.001) per kilogram increase in EBV for direct and maternal weaning weight, respectively. The log of the odds of a cow surviving to next lactation increased linearly by 0.16 ± 0.03 (P < 0.001) per unit increase in EBV for cow survival. The log of the odds of an assisted calving or dystocia both increased linearly by 0.21 ± 0.01 and 0.24 ± 0.01, respectively, per unit increase in EBV for direct calving difficulty (P < 0.001). The log of the odds of a dead calf at birth increased linearly by 0.93 ± 0.13 (P < 0.001) per unit increase in EBV for calf mortality. Results from this study show that selection of breeding animals for favorable maternal genetic attributes will result in favorable improvements in performance and profitability.

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Year:  2014        PMID: 24663204     DOI: 10.2527/jas.2013-6658

Source DB:  PubMed          Journal:  J Anim Sci        ISSN: 0021-8812            Impact factor:   3.159


  10 in total

1.  Dressing percentage and the differential between live weight and carcass weight in cattle are influenced by both genetic and non-genetic factors1.

Authors:  Jessica M Coyne; Ross D Evans; Donagh P Berry
Journal:  J Anim Sci       Date:  2019-04-03       Impact factor: 3.159

2.  Feed and production efficiency of young crossbred beef cattle stratified on a terminal total merit index.

Authors:  David N Kelly; Stephen B Conroy; Craig P Murphy; Roy D Sleator; Donagh P Berry
Journal:  Transl Anim Sci       Date:  2020-07-01

3.  An index framework founded on the future profit potential of female beef cattle to aid the identification of candidates for culling.

Authors:  Fíona L Dunne; Donagh P Berry; Margaret M Kelleher; Ross D Evans; Siobhan W Walsh; Peter R Amer
Journal:  J Anim Sci       Date:  2020-11-01       Impact factor: 3.159

4.  Risk factors associated with animal mortality in pasture-based, seasonal-calving dairy and beef herds.

Authors:  S C Ring; J McCarthy; M M Kelleher; M L Doherty; D P Berry
Journal:  J Anim Sci       Date:  2018-02-15       Impact factor: 3.159

5.  Validation of a beef cattle maternal breeding objective based on a cross-sectional analysis of a large national cattle database.

Authors:  Alan J Twomey; Andrew R Cromie; Noirin McHugh; Donagh P Berry
Journal:  J Anim Sci       Date:  2020-11-01       Impact factor: 3.159

6.  Genetic and non-genetic factors associated with health and vitality traits in beef calves.

Authors:  Tom Condon; Craig Murphy; Roy D Sleator; Michelle M Judge; Siobhan Ring; Donagh P Berry
Journal:  J Anim Sci       Date:  2021-07-01       Impact factor: 3.159

7.  Detection of quantitative trait loci for maternal traits using high-density genotypes of Blonde d'Aquitaine beef cattle.

Authors:  Alexis Michenet; Marine Barbat; Romain Saintilan; Eric Venot; Florence Phocas
Journal:  BMC Genet       Date:  2016-06-21       Impact factor: 2.797

8.  Prevalence of Bovine Viral Diarrhoea Virus (BVDV), Bovine Herpes Virus 1 (BHV 1), Leptospirosis and Neosporosis, and associated risk factors in 161 Irish beef herds.

Authors:  Damien Barrett; Mervyn Parr; John Fagan; Alan Johnson; Jamie Tratalos; Francis Lively; Michael Diskin; David Kenny
Journal:  BMC Vet Res       Date:  2018-01-06       Impact factor: 2.741

9.  The impact of genetic merit on ewe performance and efficiency parameters.

Authors:  Nicola Fetherstone; Noirin McHugh; Tommy M Boland; Philip Creighton; Norann Galvin; Fiona M McGovern
Journal:  J Anim Sci       Date:  2021-12-01       Impact factor: 3.159

10.  Commercial beef farms excelling in terminal and maternal genetic merit generate more gross profit.

Authors:  David N Kelly; K Connolly; P Kelly; A R Cromie; C P Murphy; R D Sleator; D P Berry
Journal:  Transl Anim Sci       Date:  2021-06-09
  10 in total

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