Works (3)

Updated: July 5th, 2023 15:43

2015 journal article

Joint-multiple family linkage analysis predicts within-family variation better than single-family analysis of the maize nested association mapping population

HEREDITY, 114(6), 552–563.

By: F. Ogut n, Y. Bian n, P. Bradbury* & J. Holland*

Contributors: F. Ogut n, Y. Bian n, P. Bradbury* & J. Holland*

MeSH headings : Chromosome Mapping / methods; Genetic Linkage; Genetic Markers; Genetics, Population; Models, Genetic; Quantitative Trait Loci; Zea mays / genetics
TL;DR: The superior predictive ability of joint-family QTL models despite important genetic differences among families suggests that joint- family models capture sufficient smaller effect QTL that is shared across families to compensate for missing some rare large-effect QTL. (via Semantic Scholar)
UN Sustainable Development Goal Categories
2. Zero Hunger (Web of Science)
13. Climate Action (Web of Science)
15. Life on Land (Web of Science)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: August 6, 2018

2014 journal article

Genetic Analysis of Diallel Progeny Test Data Using Factor Analytic Linear Mixed Models

FOREST SCIENCE, 60(1), 119–127.

By: F. Ogut n, C. Maltecca n, R. Whetten n, S. McKeand n & F. Isik*

Contributors: F. Ogut n, C. Maltecca n, R. Whetten n, S. Mckeand n & F. Isik*

author keywords: Pinus taeda; heritability; genotype x environment interactions; accuracy of predictions; heterogeneous covariance structures
UN Sustainable Development Goal Categories
2. Zero Hunger (Web of Science)
13. Climate Action (Web of Science)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: August 6, 2018

2014 journal article

Genome-wide association study of Fusarium ear rot disease in the USA maize inbred line collection

BMC PLANT BIOLOGY, 14(1).

Contributors: C. Zila n, F. Ogut n, M. Romay*, C. Gardner*, E. Buckler* & J. Holland n

author keywords: Association analysis; Disease resistance; Genomic selection; Maize; Quantitative trait
MeSH headings : Disease Resistance / genetics; Fusarium / physiology; Genome-Wide Association Study; Host-Pathogen Interactions / genetics; Plant Diseases; Polymorphism, Single Nucleotide; Zea mays / genetics; Zea mays / immunology
TL;DR: A genome-wide association study for Fusarium ear rot resistance in a very diverse maize collection identified seven SNP variants each associated with between 1% and 3% of trait variation, which means the value of selection on these SNPs for improving resistance to Fus aquarium ear rot is limited. (via Semantic Scholar)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: August 6, 2018

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