Evaluation of genomic mating approach based on genetic algorithms for long-term selection in Huaxi cattle

Bibliographic Details
Title: Evaluation of genomic mating approach based on genetic algorithms for long-term selection in Huaxi cattle
Authors: Yuanqing Wang, Bo Zhu, Jing Wang, Lupei Zhang, Lingyang Xu, Yan Chen, Zezhao Wang, Huijiang Gao, Junya Li, Xue Gao
Source: BMC Genomics, Vol 25, Iss 1, Pp 1-12 (2024)
Publisher Information: BMC, 2024.
Publication Year: 2024
Collection: LCC:Biotechnology
LCC:Genetics
Subject Terms: Simulation, Genomic mating, Genetic algorithms, Genetic gain, Huaxi cattle, Biotechnology, TP248.13-248.65, Genetics, QH426-470
More Details: Abstract Background Genomic mating (GM) can effectively control the growth rate of inbreeding in population and achieve long-term sustainable genetic progress. However, the design of GM method and assessment of its effects during long-term selection have not been fully explored in beef cattle breeding. Results In this study, we constructed a simulated population based on the real genotypes of Huaxi cattle, where five generations of simulated breeding were carried out using the genomic optimal contribution selection (GOCS), genetic algorithms strategy and three traditional mating strategies. During the breeding process, genetic parameters including average genomic estimated breeding value (GEBV), genetic gain values ( $$\Delta G$$ Δ G ), the rate of inbreeding values ( $$\Delta F$$ Δ F ) were calculated and compared across generations. Our results showed that the GM method could significantly improve the genetic gain while effectively controlling the inbreeding accumulation within the population. When using the GM method, there was an increase in genetic gain for Huaxi cattle ranging from 1.1% to 25.6% compared to traditional mating strategy, with inbreeding decreasing in the range of 5.8% to 36.2%. Validation using the real dataset from Huaxi cattle further confirmed our findings from the simulated study, offspring populations using the GM strategy exhibited a 7.3% increase in genetic gain compared to positive assortative mating. Conclusions These findings suggest that the GM method shows potential for achieving sustainable genetic gain and could be utilized during long-term selection in beef cattle breeding.
Document Type: article
File Description: electronic resource
Language: English
ISSN: 1471-2164
Relation: https://doaj.org/toc/1471-2164
DOI: 10.1186/s12864-024-11057-9
Access URL: https://doaj.org/article/df6e5c5b7fbb4d3f96cf81788f569a49
Accession Number: edsdoj.f6e5c5b7fbb4d3f96cf81788f569a49
Database: Directory of Open Access Journals
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More Details
ISSN:14712164
DOI:10.1186/s12864-024-11057-9
Published in:BMC Genomics
Language:English