Stephen Szalma

Works (2)

Updated: July 5th, 2023 15:30

2019 article

Optimal Designs for Genomic Selection in Hybrid Crops

Guo, T., Yu, X., Li, X., Zhang, H., Zhu, C., Flint-Garcia, S., … Yu, J. (2019, January 6). Molecular Plant, Vol. 12, pp. 390–401.

By: T. Guo *, X. Yu *, X. Li *, H. Zhang *, C. Zhu *, S. Flint-Garcia *, M. McMullen*, J. Holland n  ...

Contributors: T. Guo *, X. Yu *, X. Li *, H. Zhang *, C. Zhu *, S. Flint-Garcia *, M. McMullen*, J. Holland n , R. Wisser*, J. Yu *

author keywords: data mining; molecular breeding; genomic relationship; genomic selection; optimal design
MeSH headings : Crops, Agricultural / genetics; Crops, Agricultural / growth & development; Genomics / methods; Genotype; Hybridization, Genetic; Inbreeding; Oryza / genetics; Oryza / growth & development; Phenotype; Plant Breeding; Polymorphism, Single Nucleotide; Triticum / genetics; Triticum / growth & development; Zea mays / genetics; Zea mays / growth & development
topics (OpenAlex): Genetic and phenotypic traits in livestock; Genetic Mapping and Diversity in Plants and Animals; Genetics and Plant Breeding
TL;DR: It is demonstrated that effective genomic prediction models can be established with a training set 2%-13% of the size of the whole set, enabling an efficient exploration of enormous inference space of genetic combinations. (via Semantic Scholar)
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Sources: Web Of Science, ORCID, NC State University Libraries
Added: March 18, 2019

2010 journal article

An association transcriptomics approach to the prediction of hybrid performance

Molecular Breeding, 26(1), 91–106.

By: D. Stokes, F. Fraser, C. Morgan, C. O'Neill, R. Dreos, A. Magusin, S. Szalma, I. Bancroft

Source: NC State University Libraries
Added: August 6, 2018

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