Computational strategies for national integration of phenotypic, genomic, and pedigree data in a single-step best linear unbiased prediction
Published 2012 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Computational strategies for national integration of phenotypic, genomic, and pedigree data in a single-step best linear unbiased prediction
Authors
Keywords
-
Journal
JOURNAL OF DAIRY SCIENCE
Volume 95, Issue 8, Pages 4629-4645
Publisher
American Dairy Science Association
Online
2012-07-19
DOI
10.3168/jds.2011-4982
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Regularization Paths for Generalized Linear Models via Coordinate Descent
- (2015) Jerome Friedman et al. Journal of Statistical Software
- Bias in genomic predictions for populations under selection
- (2011) Z. G. VITEZICA et al. Genetics Research
- Efficient computation of the genomic relationship matrix and other matrices used in single-step evaluation
- (2011) I. Aguilar et al. JOURNAL OF ANIMAL BREEDING AND GENETICS
- Effect of different genomic relationship matrices on accuracy and scale1
- (2011) C. Y. Chen et al. JOURNAL OF ANIMAL SCIENCE
- Evidence of biases in genetic evaluations due to genomic preselection in dairy cattle
- (2011) C. Patry et al. JOURNAL OF DAIRY SCIENCE
- Multiple-trait genomic evaluation of linear type traits using genomic and phenotypic data in US Holsteins
- (2011) S. Tsuruta et al. JOURNAL OF DAIRY SCIENCE
- Genomic selection and complex trait prediction using a fast EM algorithm applied to genome-wide markers
- (2010) Ross K Shepherd et al. BMC BIOINFORMATICS
- Improved Lasso for genomic selection
- (2010) ANDRÉS LEGARRA et al. Genetics Research
- Hot topic: A unified approach to utilize phenotypic, full pedigree, and genomic information for genetic evaluation of Holstein final score1
- (2010) I. Aguilar et al. JOURNAL OF DAIRY SCIENCE
- Best Linear Unbiased Prediction of Genomic Breeding Values Using a Trait-Specific Marker-Derived Relationship Matrix
- (2010) Zhe Zhang et al. PLoS One
- QMSim: a large-scale genome simulator for livestock
- (2009) M. Sargolzaei et al. BIOINFORMATICS
- Predicting Quantitative Traits With Regression Models for Dense Molecular Markers and Pedigree
- (2009) G. de los Campos et al. GENETICS
- Technical note: Derivation of equivalent computing algorithms for genomic predictions and reliabilities of animal merit
- (2009) I. Strandén et al. JOURNAL OF DAIRY SCIENCE
- Computing procedures for genetic evaluation including phenotypic, full pedigree, and genomic information
- (2009) I. Misztal et al. JOURNAL OF DAIRY SCIENCE
- A relationship matrix including full pedigree and genomic information
- (2009) A. Legarra et al. JOURNAL OF DAIRY SCIENCE
- Short Communication: Correlations of Marker-Assisted Breeding Values with Progeny-Test Breeding Values for Eight Hundred Ninety-Nine French Holstein Bulls
- (2008) F. Guillaume et al. JOURNAL OF DAIRY SCIENCE
- Efficient Methods to Compute Genomic Predictions
- (2008) P.M. VanRaden JOURNAL OF DAIRY SCIENCE
- Invited Review: Reliability of genomic predictions for North American Holstein bulls
- (2008) P.M. VanRaden et al. JOURNAL OF DAIRY SCIENCE
- Technical Note: Computing Strategies in Genome-Wide Selection
- (2007) A. Legarra et al. JOURNAL OF DAIRY SCIENCE
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreFind the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
Search