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Article

Genomic prediction accuracy for switchgrass traits related to bioenergy within differentiated populations.

BMC plant biology - 9 Jul 2018

Fiedler Jason D, Lanzatella Christina, Edmé Serge J, Palmer Nathan A, Sarath Gautam, Mitchell Rob, Tobias Christian M

Abstract excerpt

BACKGROUND: Switchgrass breeders need to improve the rates of genetic gain in many bioenergy-related traits in order to create improved cultivars that are higher yielding and have optimal biomass composition. One way to achieve this is through genomic selection. However, the heritability of traits needs to be determined as well as the accuracy of prediction in order to determine if efficient selection is...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 29986667
DOI: 10.1186/s12870-018-1360-z
PMCID: PMC6038187

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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