Assessment of bagging GBLUP for whole-genome prediction of broiler chicken traits-Reference-Cited by-同舟云学术

Assessment of bagging GBLUP for whole-genome prediction of broiler chicken traits

Published:2015-03-01 Issue:3 Volume:132 Page:218-228
ISSN:0931-2668
Container-title:Journal of Animal Breeding and Genetics
language:en
Short-container-title:J. Anim. Breed. Genet.

Author:

Abdollahi-Arpanahi R.¹,Morota G.²,Valente B.D.¹³,Kranis A.⁴⁵,Rosa G.J.M.¹⁶,Gianola D.¹³⁶

Affiliation:

1. Department of Animal Sciences; University of Wisconsin; Madison WI USA

2. Department of Animal Science; University of Nebraska; Lincoln NE USA

3. Department of Dairy Science; University of Wisconsin Madison WI USA

4. Aviagen Ltd; Midlothian UK

5. The Roslin Institute and Royal (Dick) School of Veterinary Studies; University of Edinburgh; Midlothian UK

6. Department of Biostatistics and Medical Informatics; University of Wisconsin; Madison WI USA

Funder

United States Department of Agriculture (USDA) HATCH

Wisconsin Agriculture Experiment Station

Aviagen Ltd.

Publisher

Wiley

Subject

Animal Science and Zoology,Food Animals,General Medicine

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/jbg.12131/fullpdf

Reference26 articles.

1. Dissection of additive genetic variability for quantitative traits in chickens using SNP markers;Abdollahi-Arpanahi;J. Anim. Breed. Genet.,2014

2. Bayesian methods for quantitative trait loci mapping based on model selection: approximate analysis using the Bayesian information criterion;Ball;Genetics,2001

3. Bagging predictors;Breiman;Mach. Learn.,1996

4. Identifying protein interaction subnetworks by a bagging Markov random field-based method;Chen;Nucleic Acids Res.,2013

5. Applying bagging techniques to the SA Tabu miner rule induction algorithm;Chorbev;ICT Innovations,2010

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