Funda Ogut

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 Goals Color Wheel
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 n 

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

author keywords: Pinus taeda; heritability; genotype x environment interactions; accuracy of predictions; heterogeneous covariance structures
UN Sustainable Development Goals Color Wheel
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).

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

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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