A class of Bayesian methods to combine large numbers of genotyped and non-genotyped animals for whole-genome analyses-Reference-Cited by-同舟云学术

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A class of Bayesian methods to combine large numbers of genotyped and non-genotyped animals for whole-genome analyses

Published:2014 Issue:1 Volume:46 Page:50
ISSN:1297-9686
Container-title:Genetics Selection Evolution
language:en
Short-container-title:Genetics Selection Evolution

Author:

Fernando Rohan L,Dekkers Jack CM,Garrick Dorian J

Publisher

Springer Science and Business Media LLC

Subject

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

Reference29 articles.

1. Invited review: Genomic selection in dairy cattle: Progress and challenges

2. Invited Review: Reliability of genomic predictions for North American Holstein bulls

3. Breeding value prediction for production traits in layer chickens using pedigree or genomic relationships in a reduced animal model

4. The nature, scope and impact of genomic prediction in beef cattle in the United States

5. Efficient Methods to Compute Genomic Predictions

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