Selection of core animals in the Algorithm for Proven and Young using a simulation model-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Selection of core animals in the Algorithm for Proven and Young using a simulation model

Published:2017-05-02 Issue:6 Volume:134 Page:545-552
ISSN:0931-2668
Container-title:Journal of Animal Breeding and Genetics
language:en
Short-container-title:J Anim Breed Genet

Author:

Bradford H.L.¹^ORCID,Pocrnić I.¹^ORCID,Fragomeni B.O.¹,Lourenco D.A.L.¹^ORCID,Misztal I.¹

Affiliation:

1. Department of Animal and Dairy Science University of Georgia Athens GA USA

Funder

U.S. Department of Agriculture

National Institute of Food and Agriculture

Publisher

Wiley

Subject

Animal Science and Zoology,Food Animals,General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/jbg.12276

Reference22 articles.

1. Hot topic: A unified approach to utilize phenotypic, full pedigree, and genomic information for genetic evaluation of Holstein final score

2. Genomic prediction when some animals are not genotyped

3. Hot topic: Use of genomic recursions in single-step genomic best linear unbiased predictor (BLUP) with a large number of genotypes

4. Use of genomic recursions and algorithm for proven and young animals for single-step genomic BLUP analyses - a simulation study

Cited by 27 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Marker effect p-values for single-step GWAS with the algorithm for proven and young in large genotyped populations;Genetics Selection Evolution;2024-08-22

2. Temporal dynamics of genetic parameters and SNP effects for performance and disorder traits in poultry undergoing genomic selection;Journal of Animal Science;2024-01-01

3. Single-step genomic predictions for crossbred Holstein and Jersey cattle in the US;JDS Communications;2023-11

4. Strategies for choosing core animals in the algorithm for proven and young and their impact on the accuracy of single-step genomic predictions in cattle;animal;2023-04

5. Exploring the statistical nature of independent chromosome segments;Livestock Science;2023-04

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3