Literature DB >> 20172244

Genomic predictions for New Zealand dairy bulls and integration with national genetic evaluation.

B L Harris1, D L Johnson.   

Abstract

A method is described for the prediction of breeding values incorporating genomic information. The first stage involves the prediction of genomic breeding values for genotyped individuals. A novel component of this is the estimation of the genomic relationship matrix in the context of a multi-breed population. Because not all ancestors of genotyped animals are genotyped, a selection index procedure is used to blend genomic predictions with traditional ancestral information that is lost between the process of deregression of the national breeding values and subsequent re-estimation using the genomic relationship matrix. Finally, the genomically enhanced predictions are filtered through to nongenotyped descendants using a regression procedure.

Mesh:

Year:  2010        PMID: 20172244     DOI: 10.3168/jds.2009-2619

Source DB:  PubMed          Journal:  J Dairy Sci        ISSN: 0022-0302            Impact factor:   4.034


  21 in total

1.  An Equation to Predict the Accuracy of Genomic Values by Combining Data from Multiple Traits, Populations, or Environments.

Authors:  Yvonne C J Wientjes; Piter Bijma; Roel F Veerkamp; Mario P L Calus
Journal:  Genetics       Date:  2015-12-04       Impact factor: 4.562

2.  Ancestral Relationships Using Metafounders: Finite Ancestral Populations and Across Population Relationships.

Authors:  Andres Legarra; Ole F Christensen; Zulma G Vitezica; Ignacio Aguilar; Ignacy Misztal
Journal:  Genetics       Date:  2015-04-14       Impact factor: 4.562

3.  Multi-population Genomic Relationships for Estimating Current Genetic Variances Within and Genetic Correlations Between Populations.

Authors:  Yvonne C J Wientjes; Piter Bijma; Jérémie Vandenplas; Mario P L Calus
Journal:  Genetics       Date:  2017-08-16       Impact factor: 4.562

4.  Comparison on genomic predictions using three GBLUP methods and two single-step blending methods in the Nordic Holstein population.

Authors:  Hongding Gao; Ole F Christensen; Per Madsen; Ulrik S Nielsen; Yuan Zhang; Mogens S Lund; Guosheng Su
Journal:  Genet Sel Evol       Date:  2012-07-06       Impact factor: 4.297

5.  Estimating additive and non-additive genetic variances and predicting genetic merits using genome-wide dense single nucleotide polymorphism markers.

Authors:  Guosheng Su; Ole F Christensen; Tage Ostersen; Mark Henryon; Mogens S Lund
Journal:  PLoS One       Date:  2012-09-13       Impact factor: 3.240

6.  The Usage of an SNP-SNP Relationship Matrix for Best Linear Unbiased Prediction (BLUP) Analysis Using a Community-Based Cohort Study.

Authors:  Young-Sup Lee; Hyeon-Jeong Kim; Seoae Cho; Heebal Kim
Journal:  Genomics Inform       Date:  2014-12-31

7.  Design of reference populations for genomic selection in crossbreeding programs.

Authors:  Ilse E M van Grevenhof; Julius H J van der Werf
Journal:  Genet Sel Evol       Date:  2015-03-07       Impact factor: 4.297

8.  A simple method to separate base population and segregation effects in genomic relationship matrices.

Authors:  Laura Plieschke; Christian Edel; Eduardo Cg Pimentel; Reiner Emmerling; Jörn Bennewitz; Kay-Uwe Götz
Journal:  Genet Sel Evol       Date:  2015-06-23       Impact factor: 4.297

9.  Application of Genomic Data for Reliability Improvement of Pig Breeding Value Estimates.

Authors:  Ekaterina Melnikova; Artem Kabanov; Sergey Nikitin; Maria Somova; Sergey Kharitonov; Petr Otradnov; Olga Kostyunina; Tatiana Karpushkina; Elena Martynova; Aleksander Sermyagin; Natalia Zinovieva
Journal:  Animals (Basel)       Date:  2021-05-27       Impact factor: 2.752

10.  Joint genomic evaluation of French dairy cattle breeds using multiple-trait models.

Authors:  Sofiene Karoui; María Jesús Carabaño; Clara Díaz; Andrés Legarra
Journal:  Genet Sel Evol       Date:  2012-12-07       Impact factor: 4.297

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.