Semi-parametric estimates of population accuracy and bias of predictions of breeding values and future phenotypes using the LR method-Reference-Cited by-同舟云学术

Semi-parametric estimates of population accuracy and bias of predictions of breeding values and future phenotypes using the LR method

Published:2018-11-06 Issue:1 Volume:50 Page:
ISSN:1297-9686
Container-title:Genetics Selection Evolution
language:en
Short-container-title:Genet Sel Evol

Author:

Legarra Andres^ORCID,Reverter Antonio

Funder

INRA-CSIRO

Poctefa/FEDER

Institut National de la Recherche Agronomique

FEDER

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/s12711-018-0426-6.pdf

Reference57 articles.

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2. Sargolzaei M, Chesnais J, Schenkel FS. Assessing the bias in top GPA bulls. 2012. cgil.uoguelph.ca/dcbgc/Agenda1209/DCBGC1209_Bias_Mehdi.pdf. Accessed 21 Aug 2018.

3. Winkelman AM, Johnson DL, Harris BL. Application of genomic evaluation to dairy cattle in New Zealand. J Dairy Sci. 2015;98:659–75.

4. VanRaden PM, Van Tassell CP, Wiggans GR, Sonstegard TS, Schnabel RD, Taylor JF, et al. Invited review: reliability of genomic predictions for North American Holstein bulls. J Dairy Sci. 2009;92:16–24.

5. Hayes BJ, Bowman PJ, Chamberlain AJ, Goddard ME. Invited review: genomic selection in dairy cattle: Progress and challenges. J Dairy Sci. 2009;92:433–43.

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