WhoGEM: an admixture-based prediction machine accurately predicts quantitative functional traits in plants

WhoGEM: an admixture-based prediction machine accurately predicts quantitative functional traits in plants

Abstract The explosive growth of genomic data provides an opportunity to make increased use of sequence variations for phenotype prediction. We have developed a prediction machine for quantitative phenotypes (WhoGEM) that overcomes some of the bottlenecks limiting the current methods. We demonstrate...

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Bibliographic Details
Main Authors: Laurent Gentzbittel, Cécile Ben, Mélanie Mazurier, Min-Gyoung Shin, Todd Lorenz, Martina Rickauer, Paul Marjoram, Sergey V. Nuzhdin, Tatiana V. Tatarinova
Format: Article
Language:English
Published: BMC 2019-05-01
Series:Genome Biology
Subjects:
Genomic prediction
Molecular ecology
Adaptation
Quantitative disease resistance
Breeding
Medicago truncatula
Online Access:http://link.springer.com/article/10.1186/s13059-019-1697-0

Internet

http://link.springer.com/article/10.1186/s13059-019-1697-0

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