{"title":"ASReml-based estimation of early genetic parameters in hybrid mutton sheep populations.","authors":"Haifeng Wang, Shanning Jin, Zhenfei Xu, Jinxia Zhang, Xuejiao An, Rui Zhang, Yanyan Hao, Lina Zhu, Yinchun Wang, Junni Jin, Zhiguang Geng, Chenglan Li, Jianye Li, Yaojing Yue","doi":"10.1080/10495398.2024.2383261","DOIUrl":null,"url":null,"abstract":"<p><p>The aim of this study was to analyze the effects of non-genetic factors on the estimation of genetic parameters of early growth traits in hybrid mutton sheep using ASReml software, in order to provide theoretical basis for screening the optimal hybriding combinations and accelerating the breeding process of new breeds of specialized housed-feeding mutton sheep. We selected the wellgrown hybrid Southhu (Southdown × Hu sheep) and Dorhu (Dorset × Hu sheep) sheep as the research objects, constructed weight correction formulae for SH and DH sheep at 60 and 180 days; and used ASReml software to investigate the effects of non-genetic factors on the estimation of genetic parameters of early growth traits in hybrid sheep. The results showed that the birth month and birth type were found significant for all traits (<i>p</i> < 0.001); the heritability of maternal effects ranged from 0.0709 to 0.1859. It was found that both SH and DH sheep emerged the potential for rapid early growth and development, early growth traits are significantly affected by maternal genetic effects, thereby the maternal effect should be taken into consideration for the purpose of improving accuracy in parameter estimations and therefore increasing the success of breeding programs.</p>","PeriodicalId":7836,"journal":{"name":"Animal Biotechnology","volume":"35 1","pages":"2383261"},"PeriodicalIF":1.7000,"publicationDate":"2024-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Animal Biotechnology","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.1080/10495398.2024.2383261","RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/8/2 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"AGRICULTURE, DAIRY & ANIMAL SCIENCE","Score":null,"Total":0}
引用次数: 0
Abstract
The aim of this study was to analyze the effects of non-genetic factors on the estimation of genetic parameters of early growth traits in hybrid mutton sheep using ASReml software, in order to provide theoretical basis for screening the optimal hybriding combinations and accelerating the breeding process of new breeds of specialized housed-feeding mutton sheep. We selected the wellgrown hybrid Southhu (Southdown × Hu sheep) and Dorhu (Dorset × Hu sheep) sheep as the research objects, constructed weight correction formulae for SH and DH sheep at 60 and 180 days; and used ASReml software to investigate the effects of non-genetic factors on the estimation of genetic parameters of early growth traits in hybrid sheep. The results showed that the birth month and birth type were found significant for all traits (p < 0.001); the heritability of maternal effects ranged from 0.0709 to 0.1859. It was found that both SH and DH sheep emerged the potential for rapid early growth and development, early growth traits are significantly affected by maternal genetic effects, thereby the maternal effect should be taken into consideration for the purpose of improving accuracy in parameter estimations and therefore increasing the success of breeding programs.
本研究旨在利用ASReml软件分析非遗传因素对杂交羊早期生长性状遗传参数估计的影响,为筛选最佳杂交组合、加快舍饲专用羊新品种选育进程提供理论依据。我们选取生长良好的杂交种南湖羊(Southdown × Hu sheep)和多尔湖羊(Dorset × Hu sheep)作为研究对象,构建了SH和DH羊60日龄和180日龄体重校正公式,并利用ASReml软件研究了非遗传因素对杂交羊早期生长性状遗传参数估计的影响。结果表明,出生月份和出生类型对所有性状均有显著影响(p
期刊介绍:
Biotechnology can be defined as any technique that uses living organisms (or parts of organisms like cells, genes, proteins) to make or modify products, to improve plants, animals or microorganisms for a specific use. Animal Biotechnology publishes research on the identification and manipulation of genes and their products, stressing applications in domesticated animals. The journal publishes full-length articles and short research communications, as well as comprehensive reviews. The journal also provides a forum for regulatory or scientific issues related to cell and molecular biology applied to animal biotechnology.
Submissions on the following topics are particularly welcome:
- Applied microbiology, immunogenetics and antibiotic resistance
- Genome engineering and animal models
- Comparative genomics
- Gene editing and CRISPRs
- Reproductive biotechnologies
- Synthetic biology and design of new genomes