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Article

Leveraging genomic prediction to scan germplasm collection for crop improvement.

PloS one - 1 Jan 2017

de Azevedo Peixoto Leonardo, Moellers Tara C, Zhang Jiaoping, Lorenz Aaron J, Bhering Leonardo L, Beavis William D, Singh Asheesh K

Abstract excerpt

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 field and greenhouse tests. All plant accessions were previously genotyped using the SoySNP50K BeadChip. The...

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Identifiers

PMID: 28598989
DOI: 10.1371/journal.pone.0179191
PMCID: PMC5466325

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

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