Literature DB >> 24703258

Genetics and genomics of reproductive performance in dairy and beef cattle.

D P Berry1, E Wall2, J E Pryce3.   

Abstract

Excellent reproductive performance in both males and females is fundamental to profitable dairy and beef production systems. In this review we undertook a meta-analysis of genetic parameters for female reproductive performance across 55 dairy studies or populations and 12 beef studies or populations as well as across 28 different studies or populations for male reproductive performance. A plethora of reproductive phenotypes exist in dairy and beef cattle and a meta-analysis of the literature suggests that most of the female reproductive traits in dairy and beef cattle tend to be lowly heritable (0.02 to 0.04). Reproductive-related phenotypes in male animals (e.g. semen quality) tend to be more heritable than female reproductive phenotypes with mean heritability estimates of between 0.05 and 0.22 for semen-related traits with the exception of scrotal circumference (0.42) and field non-return rate (0.001). The low heritability of reproductive traits, in females in particular, does not however imply that genetic selection cannot alter phenotypic performance as evidenced by the decline until recently in dairy cow reproductive performance attributable in part to aggressive selection for increased milk production. Moreover, the antagonistic genetic correlations among reproductive traits and both milk (dairy cattle) and meat (beef cattle) yield is not unity thereby implying that simultaneous genetic selection for both increased (milk and meat) yield and reproductive performance is indeed possible. The required emphasis on reproductive traits within a breeding goal to halt deterioration will vary based on the underlying assumptions and is discussed using examples for Ireland, the United Kingdom and Australia as well as quantifying the impact on genetic gain for milk production. Advancements in genomic technologies can aid in increasing the accuracy of selection for especially reproductive traits and thus genetic gain. Elucidation of the underlying genomic mechanisms for reproduction could also aid in resolving genetic antagonisms. Past breeding programmes have contributed to the deterioration in reproductive performance of dairy and beef cattle. The tools now exist, however, to reverse the genetic trends in reproductive performance underlying the observed phenotypic trends.

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Year:  2014        PMID: 24703258     DOI: 10.1017/S1751731114000743

Source DB:  PubMed          Journal:  Animal        ISSN: 1751-7311            Impact factor:   3.240


  54 in total

1.  The effect of clitoral stimulation post artificial insemination on pregnancy rates of multiparous Bos indicus beef cows submitted to estradiol/progesterone-based estrus synchronization protocol.

Authors:  Ramiro V Oliveira Filho; Reinaldo F Cooke; Gustavo A de Mello; Victor M Pereira; Jose Luiz M Vasconcelos; Ky G Pohler
Journal:  J Anim Sci       Date:  2020-07-01       Impact factor: 3.159

2.  Potential exists to change, through breeding, the yield of individual primal carcass cuts in cattle without increasing overall carcass weight1.

Authors:  Michelle M Judge; Thierry Pabiou; Jessica Murphy; Stephen B Conroy; P J Hegarty; Donagh P Berry
Journal:  J Anim Sci       Date:  2019-07-02       Impact factor: 3.159

3.  Genomic prediction of continuous and binary fertility traits of females in a composite beef cattle breed.

Authors:  S Toghiani; E Hay; P Sumreddee; T W Geary; R Rekaya; A J Roberts
Journal:  J Anim Sci       Date:  2017-11       Impact factor: 3.159

4.  Genetic covariance components within and among linear type traits differ among contrasting beef cattle breeds.

Authors:  Jennifer L Doyle; Donagh P Berry; Siobhan W Walsh; Roel F Veerkamp; Ross D Evans; Tara R Carthy
Journal:  J Anim Sci       Date:  2018-05-04       Impact factor: 3.159

5.  The achievement of a given carcass specification is under moderate genetic control in cattle.

Authors:  David Kenny; Michelle M Judge; Roy D Sleator; Craig P Murphy; Ross D Evans; Donagh P Berry
Journal:  J Anim Sci       Date:  2020-06-01       Impact factor: 3.159

6.  Animal-level factors associated with the achievement of desirable specifications in Irish beef carcasses graded using the EUROP classification system.

Authors:  David Kenny; Craig P Murphy; Roy D Sleator; Michelle M Judge; Ross D Evans; Donagh P Berry
Journal:  J Anim Sci       Date:  2020-07-01       Impact factor: 3.159

7.  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

8.  Genetic correlations between endo-parasite phenotypes and economically important traits in dairy and beef cattle.

Authors:  Alan J Twomey; Rebecca I Carroll; Michael L Doherty; Noel Byrne; David A Graham; Riona G Sayers; Astrid Blom; Donagh P Berry
Journal:  J Anim Sci       Date:  2018-03-06       Impact factor: 3.159

Review 9.  Review: Genomics of bull fertility.

Authors:  Jeremy F Taylor; Robert D Schnabel; Peter Sutovsky
Journal:  Animal       Date:  2018-04-05       Impact factor: 3.240

10.  Towards multi-breed genomic evaluations for female fertility of tropical beef cattle.

Authors:  Ben J Hayes; Nicholas J Corbet; Jack M Allen; Alan R Laing; Geoffry Fordyce; Russel Lyons; Michael R McGowan; Brian M Burns
Journal:  J Anim Sci       Date:  2019-01-01       Impact factor: 3.159

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