Efficient strategies for leave-one-out cross validation for genomic best linear unbiased prediction-Reference-Cited by-同舟云学术

Efficient strategies for leave-one-out cross validation for genomic best linear unbiased prediction

Published:2017-05-02 Issue:1 Volume:8 Page:
ISSN:2049-1891
Container-title:Journal of Animal Science and Biotechnology
language:en
Short-container-title:J Animal Sci Biotechnol

Author:

Cheng Hao,Garrick Dorian J.,Fernando Rohan L.

Funder

National Institute of Food and Agriculture

Publisher

Springer Science and Business Media LLC

Subject

Animal Science and Zoology,Biochemistry,Food Science,Biotechnology

Link

http://link.springer.com/content/pdf/10.1186/s40104-017-0164-6.pdf

Reference8 articles.

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2. Nejati-Javaremi A, Smith C, Gibson JP. Effect of total allelic relationship on accuracy of evaluation and response to selection. J Anim Sci. 1997; 75:1738–45.

3. Fernando RL. Genetic evaluation and selection using genotypic, phenotypic and pedigree information. Proc 6th Wld Cong Genet Appl Livest Prod. 1998; 26:329–36.

4. Strandén I, Garrick DJ. Technical note: Derivation of equivalent computing algorithms for genomic predictions and reliabilities of animal merit. J Dairy Sci. 2009; 92(6):2971–75.

5. Allen DM. The relationship between variable selection and data augmentation and a method for prediction. Technometrics. 1974; 16(1):125–7.

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