Principal component approach in variance component estimation for international sire evaluation-Reference-Cited by-同舟云学术

Principal component approach in variance component estimation for international sire evaluation

Published:2011-05-24 Issue:1 Volume:43 Page:
ISSN:1297-9686
Container-title:Genetics Selection Evolution
language:en
Short-container-title:Genet Sel Evol

Author:

Tyrisevä Anna-Maria,Meyer Karin,Fikse W Freddy,Ducrocq Vincent,Jakobsen Jette,Lidauer Martin H,Mäntysaari Esa A

Publisher

Springer Science and Business Media LLC

Subject

Genetics,Animal Science and Zoology,General Medicine,Ecology, Evolution, Behavior and Systematics

Link

http://link.springer.com/content/pdf/10.1186/1297-9686-43-21.pdf

Reference23 articles.

1. Jakobsen JH, Dürr JW, Jorjani H, Forabasco A, Loberg A, Philipsson J: Genotype by environment interactions in international genetic evaluations of dairy bulls. Proc 18th Assoc Advmt Anim Breed Genet, AAAGB, Roseworthy, Australia. 2009, 133-142.

2. Jorjani H, Emanuelson U, Fikse WF: Data subsetting strategies for estimation of across-country genetic correlations. J Dairy Sci. 2005, 88: 1214-1224. 10.3168/jds.S0022-0302(05)72788-0.

3. Genetic correlation estimation procedure. [ http://www.interbull.org/images/stories/Genetic_correlation_estimation_procedure_2009t2_110110.pdf ]

4. Jorjani H: Simple method for weighted bending of genetic (co)variance matrices. J Dairy Sci. 2003, 86: 677-679. 10.3168/jds.S0022-0302(03)73646-7.

5. Mäntysaari EA: Multiple-trait across-country evaluations using singular (co)variance matrix and random regression model. Interbull Bull. 2004, 32: 70-74.

Cited by 13 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. Two approaches to account for genotype-by-environment interactions for production traits and age at first calving in South African Holstein cattle;Genetics Selection Evolution;2022-06-11

2. Reduced rank analysis of morphometric and functional traits in Campolina horses;Journal of Animal Breeding and Genetics;2021-11-28

3. Selection indexes using principal component analysis for reproductive, beef and milk traits in Simmental cattle;Tropical Animal Health and Production;2021-06-29

4. Across-country genomic prediction of bull fertility in Jersey dairy cattle;Journal of Dairy Science;2020-12

5. The use of genomic information to improve selection response while controlling inbreeding in dairy cattle breeding programs;Advances in breeding of dairy cattle;2019-12-24