Modeling first order additive × additive epistasis improves accuracy of genomic prediction for sclerotinia stem rot resistance in canola

Modeling first order additive × additive epistasis improves accuracy of genomic prediction for sclerotinia stem rot resistance in canola

Abstract The fungus Sclerotinia sclerotiorum infects hundreds of plant species including many crops. Resistance to this pathogen in canola (Brassica napus L. subsp. napus) is controlled by numerous quantitative trait loci (QTL). For such polygenic traits, genomic prediction may be useful for breedin...

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Bibliographic Details
Main Authors: Mark C Derbyshire, Yuphin Khentry, Anita Severn‐Ellis, Virginia Mwape, Nur Shuhadah Mohd Saad, Toby E Newman, Akeem Taiwo, Roshan Regmi, Lone Buchwaldt, Matthew Denton‐Giles, Jacqueline Batley, Lars G Kamphuis
Format: Article
Language:English
Published: Wiley 2021-07-01
Series:The Plant Genome
Online Access:https://doi.org/10.1002/tpg2.20088

Internet

https://doi.org/10.1002/tpg2.20088

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