Review paper
A comparison of genomic selection methods for breeding value prediction
Abstract
Recent advances in molecular genetics techniques have made dense marker maps available, and the prediction of breeding value at the genome level has been employed in genetics research. However, an increasingly large number of markers raise both statistical and computational issues in genomic selection (GS), and many methods have been developed for genomic prediction to address these problems, including ridge regression-best linear unbiased...
Paper Details
Title
A comparison of genomic selection methods for breeding value prediction
Published Date
May 1, 2015
Journal
Volume
60
Issue
10
Pages
925 - 935
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History