Youngjun Mo

Assistant Professor

Jeju National University

South Korea

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About

Youngjun Mo is an Assistant Professor at Jeonbuk National University in South Korea. His research focuses on the genetic and environmental factors affecting agronomic traits in rice and wheat, with a particular emphasis on genotype-by-environment interactions and machine learning applications. Recent articles authored by him include studies on the association of allelic variations with agronomic traits in Korean rice cultivars, as well as the identification of QTL for rice panicle length and grain weight.

Articles (14)

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2025

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2025

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2025

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2024

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2024

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2023

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2023

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2022

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2021

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2021

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2021

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2020

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2020

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2020

Collaborators (2)

Michael Rostás

Professor

University of Göttingen

GERMANY

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Petr Karlovsky

University of Göttingen

GERMANY

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Youngjun Mo

Research Interests

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Articles (14)

Integrating genotype-by-environment interaction and machine learning to evaluate yield-related traits in Korean rice cultivars

Association of the Allelic Variations in Hd1, OsPRR37, Ghd7 and DTH8 With Major Agronomic Traits in Korean Rice (Oryza sativa L.) Cultivars

Identification of QTL for rice panicle length and grain weight using a doubled haploid population derived from 93–11 and Milyang352

Phenotypic characterization of underutilized common wheat germplasm for diversifying breeding materials in Korea

Allelic combinations of Hd1, Hd16, and Ghd7 exhibit pleiotropic effects on agronomic traits in rice

Characterization of flo4-6, a Novel cyOsPPDKB Allele Conferring Floury Endosperm Characteristics Suitable for Dry-Milled Rice Flour Production

Multi-Environment Trials and Stability Analysis for Yield-Related Traits of Commercial Rice Cultivars

Characterization of Peroxidase and Laccase Gene Families and In Silico Identification of Potential Genes Involved in Upstream Steps of Lignan Formation in Sesame

Hd1 Allele Types and Their Associations with Major Agronomic Traits in Korean Rice Cultivars

Novel Sources of Pre-Harvest Sprouting Resistance for Japonica Rice Improvement

Genetic factors enhancing seed longevity in tropical japonica rice

Mapping Quantitative Trait Loci for Yield Potential Traits in Wheat Recombinant Inbred Lines

Characterization of QTLs and Candidate Genes for Days to Heading in Rice Recombinant Inbred Lines

Identification of Quantitative Trait Loci for Spikelet Fertility at the Booting Stage in Rice (<i>Oryza sativa</i> L.) under Different Low-Temperature Conditions

Collaborators (2)

Michael Rostás

Petr Karlovsky

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