Genomic Prediction in Pea: Effect of Marker Density and Training Population Size and Composition on Prediction Accuracy

Genomic Prediction in Pea: Effect of Marker Density and Training Population Size and Composition on Prediction Accuracy

Pea is an important food and feed crop and a valuable component of low-input farming systems. Improving resistance to biotic and abiotic stresses is a major breeding target to enhance yield potential and regularity. Genomic selection has lately emerged as a promising technique to increase the accura...

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Bibliographic Details
Main Authors: Nadim eTAYEH, Anthony eKlein, Marie-Christine eLe Paslier, Françoise eJacquin, Hervé eHoutin, Céline eRond, Marianne eChabert-Martinello, Jean-Bernard eMagnin-Robert, Pascal eMarget, Grégoire eAubert, Judith eBurstin
Format: Article
Language:English
Published: Frontiers Media S.A. 2015-11-01
Series:Frontiers in Plant Science
Subjects:
genomic selection
prediction accuracy
Pea (Pisum sativum L.)
training set
Marker density
GenoPea 13.2K SNP Array
Online Access:http://journal.frontiersin.org/Journal/10.3389/fpls.2015.00941/full

Internet

http://journal.frontiersin.org/Journal/10.3389/fpls.2015.00941/full

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