Leveraging genomic prediction to scan germplasm collection for crop improvement.

Leveraging genomic prediction to scan germplasm collection for crop improvement.

The objective of this study was to explore the potential of genomic prediction (GP) for soybean resistance against Sclerotinia sclerotiorum (Lib.) de Bary, the causal agent of white mold (WM). A diverse panel of 465 soybean plant introduction accessions was phenotyped for WM resistance in replicated...

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Bibliographic Details
Main Authors: Leonardo de Azevedo Peixoto, Tara C Moellers, Jiaoping Zhang, Aaron J Lorenz, Leonardo L Bhering, William D Beavis, Asheesh K Singh
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2017-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC5466325?pdf=render

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http://europepmc.org/articles/PMC5466325?pdf=render

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