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Candidate Genes in Bull Semen Production Traits: An Information Approach Review
Semen quality plays a crucial role in the successful implementation of breeding programs, especially where artificial insemination (AI) is practiced. Bulls with good semen traits have good fertility and can produce a volume of high semen per ejaculation. The aim of this review is to use an informati...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9028852/ https://www.ncbi.nlm.nih.gov/pubmed/35448653 http://dx.doi.org/10.3390/vetsci9040155 |
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author | Modiba, Mamokoma Cathrine Nephawe, Khathutshelo Agree Mdladla, Khanyisile Hadebe Lu, Wenfa Mtileni, Bohani |
author_facet | Modiba, Mamokoma Cathrine Nephawe, Khathutshelo Agree Mdladla, Khanyisile Hadebe Lu, Wenfa Mtileni, Bohani |
author_sort | Modiba, Mamokoma Cathrine |
collection | PubMed |
description | Semen quality plays a crucial role in the successful implementation of breeding programs, especially where artificial insemination (AI) is practiced. Bulls with good semen traits have good fertility and can produce a volume of high semen per ejaculation. The aim of this review is to use an information approach to highlight candidate genes and their relation to bull semen production traits. The use of genome-wide association studies (GWAS) has been demonstrated to be successful in identifying genomic regions and individual variations associated with production traits. Studies have reported over 40 genes associated with semen traits using Illumina BeadChip single-nucleotide polymorphism (SNPs). |
format | Online Article Text |
id | pubmed-9028852 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-90288522022-04-23 Candidate Genes in Bull Semen Production Traits: An Information Approach Review Modiba, Mamokoma Cathrine Nephawe, Khathutshelo Agree Mdladla, Khanyisile Hadebe Lu, Wenfa Mtileni, Bohani Vet Sci Review Semen quality plays a crucial role in the successful implementation of breeding programs, especially where artificial insemination (AI) is practiced. Bulls with good semen traits have good fertility and can produce a volume of high semen per ejaculation. The aim of this review is to use an information approach to highlight candidate genes and their relation to bull semen production traits. The use of genome-wide association studies (GWAS) has been demonstrated to be successful in identifying genomic regions and individual variations associated with production traits. Studies have reported over 40 genes associated with semen traits using Illumina BeadChip single-nucleotide polymorphism (SNPs). MDPI 2022-03-23 /pmc/articles/PMC9028852/ /pubmed/35448653 http://dx.doi.org/10.3390/vetsci9040155 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Modiba, Mamokoma Cathrine Nephawe, Khathutshelo Agree Mdladla, Khanyisile Hadebe Lu, Wenfa Mtileni, Bohani Candidate Genes in Bull Semen Production Traits: An Information Approach Review |
title | Candidate Genes in Bull Semen Production Traits: An Information Approach Review |
title_full | Candidate Genes in Bull Semen Production Traits: An Information Approach Review |
title_fullStr | Candidate Genes in Bull Semen Production Traits: An Information Approach Review |
title_full_unstemmed | Candidate Genes in Bull Semen Production Traits: An Information Approach Review |
title_short | Candidate Genes in Bull Semen Production Traits: An Information Approach Review |
title_sort | candidate genes in bull semen production traits: an information approach review |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9028852/ https://www.ncbi.nlm.nih.gov/pubmed/35448653 http://dx.doi.org/10.3390/vetsci9040155 |
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