意大利地中海水牛的现状:基于多组学数据的精准育种

Q3 Engineering
Mayra Gomez, R. Cimmino, Dario Rossi, G. Zullo, G. Campanile, Gianluca Neglia, Stefano Biffani
{"title":"意大利地中海水牛的现状:基于多组学数据的精准育种","authors":"Mayra Gomez, R. Cimmino, Dario Rossi, G. Zullo, G. Campanile, Gianluca Neglia, Stefano Biffani","doi":"10.21014/actaimeko.v12i4.1692","DOIUrl":null,"url":null,"abstract":"Genetic evaluation in the Italian Mediterranean Buffalo (IMB) traditionally relied on the BLUP method (best linear unbiased predictor), a mixed model system incorporating both random and fixed effects simultaneously. However, recent advancements in genome sequencing technologies have opened up the opportunity to incorporate genomic information into genetic evaluations. The ssGBLUP (single-step best linear unbiased predictor) has become the method par excellence. It replaces the traditional relationship matrix with one that combines pedigree and genomic relationships, allowing for the estimation of genetic values for non-genotyped animals. The findings of this study highlight how genomic selection enhances the precision of breeding values, facilitates greater genetic advancement and reduces the generation interval, ultimately enabling a rapid return on investment.","PeriodicalId":37987,"journal":{"name":"Acta IMEKO","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The present of Italian Mediterranean buffalo: precision breeding based on multi-omics data\",\"authors\":\"Mayra Gomez, R. Cimmino, Dario Rossi, G. Zullo, G. Campanile, Gianluca Neglia, Stefano Biffani\",\"doi\":\"10.21014/actaimeko.v12i4.1692\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Genetic evaluation in the Italian Mediterranean Buffalo (IMB) traditionally relied on the BLUP method (best linear unbiased predictor), a mixed model system incorporating both random and fixed effects simultaneously. However, recent advancements in genome sequencing technologies have opened up the opportunity to incorporate genomic information into genetic evaluations. The ssGBLUP (single-step best linear unbiased predictor) has become the method par excellence. It replaces the traditional relationship matrix with one that combines pedigree and genomic relationships, allowing for the estimation of genetic values for non-genotyped animals. The findings of this study highlight how genomic selection enhances the precision of breeding values, facilitates greater genetic advancement and reduces the generation interval, ultimately enabling a rapid return on investment.\",\"PeriodicalId\":37987,\"journal\":{\"name\":\"Acta IMEKO\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-12-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Acta IMEKO\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.21014/actaimeko.v12i4.1692\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Engineering\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Acta IMEKO","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21014/actaimeko.v12i4.1692","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Engineering","Score":null,"Total":0}
引用次数: 0

摘要

意大利地中海水牛(IMB)的遗传评估传统上依赖于 BLUP 方法(最佳线性无偏预测因子),这是一种同时包含随机效应和固定效应的混合模型系统。然而,基因组测序技术的最新进展为将基因组信息纳入遗传评估提供了机会。ssGBLUP(单步最佳线性无偏预测法)已成为一种卓越的方法。它用结合了血统和基因组关系的关系矩阵取代了传统的关系矩阵,从而可以估算非基因分型动物的遗传值。这项研究的结果突显了基因组选择如何提高育种值的精确度、促进更大的遗传进步并缩短世代间隔,最终实现快速的投资回报。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The present of Italian Mediterranean buffalo: precision breeding based on multi-omics data
Genetic evaluation in the Italian Mediterranean Buffalo (IMB) traditionally relied on the BLUP method (best linear unbiased predictor), a mixed model system incorporating both random and fixed effects simultaneously. However, recent advancements in genome sequencing technologies have opened up the opportunity to incorporate genomic information into genetic evaluations. The ssGBLUP (single-step best linear unbiased predictor) has become the method par excellence. It replaces the traditional relationship matrix with one that combines pedigree and genomic relationships, allowing for the estimation of genetic values for non-genotyped animals. The findings of this study highlight how genomic selection enhances the precision of breeding values, facilitates greater genetic advancement and reduces the generation interval, ultimately enabling a rapid return on investment.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Acta IMEKO
Acta IMEKO Engineering-Mechanical Engineering
CiteScore
2.50
自引率
0.00%
发文量
75
期刊介绍: The main goal of this journal is the enhancement of academic activities of IMEKO and a wider dissemination of scientific output from IMEKO TC events. High-quality papers presented at IMEKO conferences, workshops or congresses are seleted by the event organizers and the authors are invited to publish an enhanced version of their paper in this journal. The journal also publishes scientific articles on measurement and instrumentation not related to an IMEKO event.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信