Literature DB >> 29635448

Little genetic variability in resilience among cattle exists for a range of performance traits across herds in Ireland differing in Fasciola hepatica prevalence.

Alan J Twomey1,2, David A Graham3, Michael L Doherty2, Astrid Blom4, Donagh P Berry1.   

Abstract

It is anticipated that in the future, livestock will be exposed to a greater risk of infection from parasitic diseases. Therefore, future breeding strategies for livestock, which are generally long-term strategies for change, should target animals adaptable to environments with a high parasitic load. Covariance components were estimated in the present study for a selection of dairy and beef performance traits over herd-years differing in Fasciola hepatica load using random regression sire models. Herd-year prevalence of F. hepatica was determined by using F. hepatica-damaged liver phenotypes which were recorded in abattoirs nationally. The data analyzed consisted up to 83,821 lactation records from dairy cows for a range of milk production and fertility traits, as well as 105,054 young animals with carcass-related information obtained at slaughter. Reaction norms for individual sires were derived from the random regression coefficients. The heritability and additive genetic standard deviations for all traits analyzed remained relatively constant as herd-year F. hepatica prevalence gradient increased up to a prevalence level of 0.7; although there was a large increase in heritability and additive genetic standard deviation for milk and fertility traits in the observed F. hepatica prevalence levels >0.7, only 5% of the data existed in herd-year prevalence levels >0.7. Very little rescaling, therefore, exists across differing herd-year F. hepatica prevalence levels. Within-trait genetic correlations among the performance traits across different herd-year F. hepatica prevalence levels were less than unity for all traits. Nevertheless, within-trait genetic correlations for milk production and carcass traits were all >0.8 for F. hepatica prevalence levels between 0.2 and 0.8. The lowest estimate of within-trait genetic correlations for the different fertility traits ranged from -0.03 (SE = 1.09) in age of first calving to 0.54 (SE = 0.22) for calving to first service interval. Therefore, there was reranking of sires for fertility traits across different F. hepatica prevalence levels. In conclusion, there was little or no genetic variability in sensitivity to F. hepatica prevalence levels among cattle for milk production and carcass traits. But, some genetic variability in sensitivity among dairy cows did exist for fertility traits measured across herds differing in F. hepatica prevalence.

Entities:  

Mesh:

Year:  2018        PMID: 29635448      PMCID: PMC6095437          DOI: 10.1093/jas/sky108

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


  28 in total

1.  Influence of herd environment on health and fertility and their relationship with milk production.

Authors:  J J Windig; M P L Calus; R F Veerkamp
Journal:  J Dairy Sci       Date:  2005-01       Impact factor: 4.034

2.  The genetics of resistance and resilience to Haemonchus contortus infection in young merino sheep.

Authors:  G A Albers; G D Gray; L R Piper; J S Barker; L F Le Jambre; I A Barger
Journal:  Int J Parasitol       Date:  1987-10       Impact factor: 3.981

3.  Genetic line comparisons and genetic parameters for endoparasite infections and test-day milk production traits.

Authors:  Katharina May; Kerstin Brügemann; Tong Yin; Carsten Scheper; Christina Strube; Sven König
Journal:  J Dairy Sci       Date:  2017-07-06       Impact factor: 4.034

4.  Effects of management and genetics on udder health and milk composition in dairy cows.

Authors:  W Ouweltjes; B Beerda; J J Windig; M P L Calus; R F Veerkamp
Journal:  J Dairy Sci       Date:  2007-01       Impact factor: 4.034

5.  Reaction norms and genotype-by-environment interaction in the German Holstein dairy cattle.

Authors:  M Streit; F Reinhardt; G Thaller; J Bennewitz
Journal:  J Anim Breed Genet       Date:  2012-04-28       Impact factor: 2.380

6.  Genomic selection for tolerance to heat stress in Australian dairy cattle.

Authors:  Thuy T T Nguyen; Phil J Bowman; Mekonnen Haile-Mariam; Jennie E Pryce; Benjamin J Hayes
Journal:  J Dairy Sci       Date:  2016-04       Impact factor: 4.034

7.  Genotype by environment interaction for first-lactation female fertility traits in UK dairy cattle.

Authors:  E Strandberg; S Brotherstone; E Wall; M P Coffey
Journal:  J Dairy Sci       Date:  2009-07       Impact factor: 4.034

8.  Predicting impacts of climate change on Fasciola hepatica risk.

Authors:  Naomi J Fox; Piran C L White; Colin J McClean; Glenn Marion; Andy Evans; Michael R Hutchings
Journal:  PLoS One       Date:  2011-01-10       Impact factor: 3.240

9.  Bulk milk ELISA and the diagnosis of parasite infections in dairy herds: a review.

Authors:  Mary Sekiya; Annetta Zintl; Michael L Doherty
Journal:  Ir Vet J       Date:  2013-07-25       Impact factor: 2.146

10.  Genomic Selection Improves Response to Selection in Resilience by Exploiting Genotype by Environment Interactions.

Authors:  Han A Mulder
Journal:  Front Genet       Date:  2016-10-13       Impact factor: 4.599

View more
  1 in total

1.  Stakeholder perceptions of non-regulatory bovine health issues in Ireland: past and future perspectives.

Authors:  Natascha V Meunier; Kenneth McKenzie; David A Graham; Simon J More
Journal:  Ir Vet J       Date:  2020-11-26       Impact factor: 2.146

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.