Genomic prediction based on data from three layer lines: a comparison between linear methods-Reference-Cited by-同舟云学术

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Genomic prediction based on data from three layer lines: a comparison between linear methods

Published:2014-10-01 Issue:1 Volume:46 Page:
ISSN:1297-9686
Container-title:Genetics Selection Evolution
language:en
Short-container-title:Genet Sel Evol

Author:

Calus Mario PL,Huang Heyun,Vereijken Addie,Visscher Jeroen,ten Napel Jan,Windig Jack J

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/article/10.1186/s12711-014-0057-5/fulltext.html

Reference47 articles.

1. Meuwissen THE, Hayes BJ, Goddard ME: Prediction of total genetic value using genome-wide dense marker maps. Genetics. 2001, 157: 1819-1829.

2. de los Campos G, Hickey JM, Pong-Wong R, Daetwyler HD, Calus MPL: Whole-genome regression and prediction methods applied to plant and animal breeding. Genetics. 2013, 193: 327-345. 10.1534/genetics.112.143313.

3. Ober U, Erbe M, Long NY, Porcu E, Schlather M, Simianer H: Predicting genetic values: a kernel-based best linear unbiased prediction with genomic data. Genetics. 2011, 188: 695-708. 10.1534/genetics.111.128694.

4. Habier D, Fernando RL, Dekkers JCM: The impact of genetic relationship information on genome-assisted breeding values. Genetics. 2007, 177: 2389-2397.

5. Goddard M: Genomic selection: prediction of accuracy and maximisation of long term response. Genetica. 2009, 136: 245-257. 10.1007/s10709-008-9308-0.

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4. Multi-line ssGBLUP evaluation using preselected markers from whole-genome sequence data in pigs;Frontiers in Genetics;2023-05-12

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