基于单步贝叶斯回归模型的多品种肉牛遗传评价中基因型动物的经验子代等效

M. Saatchi, R. Fernando
{"title":"基于单步贝叶斯回归模型的多品种肉牛遗传评价中基因型动物的经验子代等效","authors":"M. Saatchi, R. Fernando","doi":"10.31274/ANS_AIR-180814-409","DOIUrl":null,"url":null,"abstract":"Recommended Citation Saatchi, Mahdi; Fernando, Rohan L.; Hyde, Lauren; Atkins, Jackie; McGuire, Steve; Shafer, Wade; Spangler, Matt L.; and Golden, Bruce (2018) \"Empirical Progeny Equivalent of Genotyped Animals in a Multi-breed Beef Cattle Genetic Evaluation Using a Single-step Bayesian Regression Model,\" Animal Industry Report: AS 664, ASL R3227. DOI: https://doi.org/10.31274/ans_air-180814-409 Available at: https://lib.dr.iastate.edu/ans_air/vol664/iss1/25","PeriodicalId":7812,"journal":{"name":"Animal Industry Report","volume":"62 1","pages":"21"},"PeriodicalIF":0.0000,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Empirical Progeny Equivalent for Genotyped Animals in Multi-breed Beef Cattle Genetic Evaluations Using Single-step Bayesian Regression Model\",\"authors\":\"M. Saatchi, R. Fernando\",\"doi\":\"10.31274/ANS_AIR-180814-409\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Recommended Citation Saatchi, Mahdi; Fernando, Rohan L.; Hyde, Lauren; Atkins, Jackie; McGuire, Steve; Shafer, Wade; Spangler, Matt L.; and Golden, Bruce (2018) \\\"Empirical Progeny Equivalent of Genotyped Animals in a Multi-breed Beef Cattle Genetic Evaluation Using a Single-step Bayesian Regression Model,\\\" Animal Industry Report: AS 664, ASL R3227. DOI: https://doi.org/10.31274/ans_air-180814-409 Available at: https://lib.dr.iastate.edu/ans_air/vol664/iss1/25\",\"PeriodicalId\":7812,\"journal\":{\"name\":\"Animal Industry Report\",\"volume\":\"62 1\",\"pages\":\"21\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Animal Industry Report\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.31274/ANS_AIR-180814-409\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Animal Industry Report","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.31274/ANS_AIR-180814-409","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

萨奇,马赫迪;费尔南多,罗汉L.;海德,劳伦;阿特金斯,成龙;McGuire,史蒂夫;沙佛,韦德;马特·l·斯潘格勒;《布鲁斯·戈尔登》(2018)“使用单步贝叶斯回归模型在多品种肉牛遗传评估中基因型动物的经验后代等效”,动物产业报告:AS 664, ASL R3227。DOI: https://doi.org/10.31274/ans_air-180814-409可在:https://lib.dr.iastate.edu/ans_air/vol664/iss1/25
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Empirical Progeny Equivalent for Genotyped Animals in Multi-breed Beef Cattle Genetic Evaluations Using Single-step Bayesian Regression Model
Recommended Citation Saatchi, Mahdi; Fernando, Rohan L.; Hyde, Lauren; Atkins, Jackie; McGuire, Steve; Shafer, Wade; Spangler, Matt L.; and Golden, Bruce (2018) "Empirical Progeny Equivalent of Genotyped Animals in a Multi-breed Beef Cattle Genetic Evaluation Using a Single-step Bayesian Regression Model," Animal Industry Report: AS 664, ASL R3227. DOI: https://doi.org/10.31274/ans_air-180814-409 Available at: https://lib.dr.iastate.edu/ans_air/vol664/iss1/25
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
自引率
0.00%
发文量
0
×
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