William P Cumbie

Works (3)

Updated: April 5th, 2024 11:08

2023 journal article

Genomic Tools in Applied Tree Breeding Programs: Factors to Consider

FORESTS, 14(2).

By: R. Whetten n , K. Jayawickrama *, W. Cumbie & G. Martins

author keywords: applied tree breeding; forest products; forest tree genomics
TL;DR: The goal here is to outline social, biological, and economic constraints relevant to applied breeding programs to inform researchers, and to summarize some new methods and how they may address those constraints to inform breeders. (via Semantic Scholar)
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Sources: Web Of Science, ORCID, NC State University Libraries
Added: January 18, 2023

2022 journal article

Single-Step Genomic Analysis Increases the Accuracy of Within-Family Selection in a Clonally Replicated Population of Pinus taeda L.

FOREST SCIENCE, 68(1), 37–52.

By: T. Walker n , W. Cumbie & F. Isik n 

author keywords: ssGBLUP; HBLUP; genomic selection; genomic prediction; genomic relationships; loblolly; pine; multi-environmental trials; genotype by environment interaction; factor analytic
TL;DR: Breeding programs for species that are difficult to propagate clonally should consider genotyping to replace or supplement clonal testing as a means to improve within-family selection, and genomic markers can improve the reliability of breeding values. (via Semantic Scholar)
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Sources: Web Of Science, ORCID, NC State University Libraries
Added: December 23, 2021

2021 journal article

Genomic prediction for fusiform rust disease incidence in a large cloned population of Pinus taeda

G3-GENES GENOMES GENETICS, 11(9).

By: M. Shalizi  n, W. Cumbie * & F. Isik n 

Contributors: M. Shalizi  n

author keywords: genomic selection; cloning; categorical traits; loblolly pine; Genetic relatedness; Bayesian whole genome regression; SNP markers; Cronartium quercuum f. sp. fusiforme
MeSH headings : Basidiomycota; Bayes Theorem; Genomics; Genotype; Humans; Incidence; Models, Genetic; Phenotype; Pinus taeda / genetics; Plant Breeding; Polymorphism, Single Nucleotide
TL;DR: Genomic selection for fusiform rust disease incidence could be effective in P. taeda breeding, and markers with large effects could be fit as fixed covariates to increase the prediction accuracies. (via Semantic Scholar)
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Sources: Web Of Science, ORCID, NC State University Libraries
Added: August 2, 2021

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