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Title
Genomic prediction in CIMMYT maize and wheat breeding programs
Authors
Keywords
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Journal
HEREDITY
Volume 112, Issue 1, Pages 48-60
Publisher
Springer Nature
Online
2013-04-10
DOI
10.1038/hdy.2013.16
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- Six Degrees of Epistasis: Statistical Network Models for GWAS
- (2012) B. A. McKinney et al. Frontiers in Genetics
- Predicting complex quantitative traits with Bayesian neural networks: a case study with Jersey cows and wheat
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- (2010) GUSTAVO DE LOS CAMPOS et al. Genetics Research
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- Genomic-Enabled Prediction Based on Molecular Markers and Pedigree Using the Bayesian Linear Regression Package in R
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- Predicting Quantitative Traits With Regression Models for Dense Molecular Markers and Pedigree
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- Invited review: Genomic selection in dairy cattle: Progress and challenges
- (2009) B.J. Hayes 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
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- (2008) Trevor Park et al. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
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- (2008) Hans D. Daetwyler et al. PLoS One
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