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Review: Genomics of bull fertility
by
Taylor, Jeremy F.
, Schnabel, Robert D.
, Sutovsky, Peter
in
alleles
/ Animals
/ Artificial insemination
/ artificial selection
/ Beef
/ Beef cattle
/ beef industry
/ Bovidae
/ Breeding
/ bull fertility
/ bulls
/ Calves
/ candidate genes
/ Cattle
/ Cattle - genetics
/ Cattle production
/ conception rate
/ cows
/ crossbreds
/ Dairy cattle
/ dairy herds
/ Dairy industry
/ Dairying
/ Economic importance
/ Embryos
/ Female
/ female fertility
/ Fertility
/ Fertility - genetics
/ genetic correlation
/ Genetic diversity
/ Genetic improvement
/ genetic merit
/ Genetic variance
/ genetic variation
/ genome-wide association study
/ genomic selection
/ Genomics
/ Genotyping
/ Haplotypes
/ heifers
/ Holstein
/ Insemination, Artificial - veterinary
/ loci
/ Male
/ male fertility
/ marker-assisted selection
/ mating systems
/ Mutation
/ phenotype
/ Phenotypes
/ Polymorphism
/ prediction
/ quantitative trait loci
/ Reproduction (biology)
/ Review Article
/ Semen
/ Single-nucleotide polymorphism
/ sires
/ spermatozoa
/ Standardization
/ Studs
/ United States
2018
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Review: Genomics of bull fertility
by
Taylor, Jeremy F.
, Schnabel, Robert D.
, Sutovsky, Peter
in
alleles
/ Animals
/ Artificial insemination
/ artificial selection
/ Beef
/ Beef cattle
/ beef industry
/ Bovidae
/ Breeding
/ bull fertility
/ bulls
/ Calves
/ candidate genes
/ Cattle
/ Cattle - genetics
/ Cattle production
/ conception rate
/ cows
/ crossbreds
/ Dairy cattle
/ dairy herds
/ Dairy industry
/ Dairying
/ Economic importance
/ Embryos
/ Female
/ female fertility
/ Fertility
/ Fertility - genetics
/ genetic correlation
/ Genetic diversity
/ Genetic improvement
/ genetic merit
/ Genetic variance
/ genetic variation
/ genome-wide association study
/ genomic selection
/ Genomics
/ Genotyping
/ Haplotypes
/ heifers
/ Holstein
/ Insemination, Artificial - veterinary
/ loci
/ Male
/ male fertility
/ marker-assisted selection
/ mating systems
/ Mutation
/ phenotype
/ Phenotypes
/ Polymorphism
/ prediction
/ quantitative trait loci
/ Reproduction (biology)
/ Review Article
/ Semen
/ Single-nucleotide polymorphism
/ sires
/ spermatozoa
/ Standardization
/ Studs
/ United States
2018
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Do you wish to request the book?
Review: Genomics of bull fertility
by
Taylor, Jeremy F.
, Schnabel, Robert D.
, Sutovsky, Peter
in
alleles
/ Animals
/ Artificial insemination
/ artificial selection
/ Beef
/ Beef cattle
/ beef industry
/ Bovidae
/ Breeding
/ bull fertility
/ bulls
/ Calves
/ candidate genes
/ Cattle
/ Cattle - genetics
/ Cattle production
/ conception rate
/ cows
/ crossbreds
/ Dairy cattle
/ dairy herds
/ Dairy industry
/ Dairying
/ Economic importance
/ Embryos
/ Female
/ female fertility
/ Fertility
/ Fertility - genetics
/ genetic correlation
/ Genetic diversity
/ Genetic improvement
/ genetic merit
/ Genetic variance
/ genetic variation
/ genome-wide association study
/ genomic selection
/ Genomics
/ Genotyping
/ Haplotypes
/ heifers
/ Holstein
/ Insemination, Artificial - veterinary
/ loci
/ Male
/ male fertility
/ marker-assisted selection
/ mating systems
/ Mutation
/ phenotype
/ Phenotypes
/ Polymorphism
/ prediction
/ quantitative trait loci
/ Reproduction (biology)
/ Review Article
/ Semen
/ Single-nucleotide polymorphism
/ sires
/ spermatozoa
/ Standardization
/ Studs
/ United States
2018
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Journal Article
Review: Genomics of bull fertility
2018
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Overview
Fertility is one of the most economically important traits in both beef and dairy cattle production; however, only female fertility is typically subjected to selection. Male and female fertility have only a small positive genetic correlation which is likely due to the existence of a relatively small number of genetic variants within each breed that cause embryonic and developmental losses. Genomic tools have been developed that allow the identification of lethal recessive loci based upon marker haplotypes. Selection against haplotypes harbouring lethal alleles in conjunction with selection to improve female fertility will result in an improvement in male fertility. Genomic selection has resulted in a two to fourfold increase in the rate of genetic improvement of most dairy traits in US Holstein cattle, including female fertility. Considering the rapidly increasing rate of adoption of high-throughput single nucleotide polymorphism genotyping in both the US dairy and beef industries, genomic selection should be the most effective of all currently available approaches to improve male fertility. However, male fertility phenotypes are not routinely recorded in natural service mating systems and when artificial insemination is used, semen doses may be titrated to lower post-thaw progressively motile sperm numbers for high-merit and high-demand bulls. Standardization of sperm dosages across bull studs for semen distributed from young bulls would allow the capture of sire conception rate phenotypes for young bulls that could be used to generate predictions of genetic merit for male fertility in both males and females. These data would allow genomic selection to be implemented for male fertility in addition to female fertility within the US dairy industry. While the rate of use of artificial insemination is much lower within the US beef industry, the adoption of sexed semen in the dairy industry has allowed dairy herds to select cows from which heifer replacements are produced and cows that are used to produce terminal crossbred bull calves sired by beef breed bulls. Capture of sire conception rate phenotypes in dairy herds utilizing sexed semen will contribute data enabling genomic selection for male fertility in beef cattle breeds. As the commercial sector of the beef industry increasingly adopts fixed-time artificial insemination, sire conception rate phenotypes can be captured to facilitate the development of estimates of genetic merit for male fertility within US beef breeds.
Publisher
Cambridge University Press,Elsevier Limited,Elsevier
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