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ORCID: 0000-0002-7486-7438


"Development of a novel GWAS method to detect QTL effects interacting with the discrete and continuous population structure",

[bioRxiv: 10.1101/2024.03.13.584913]


AI-assisted selection of mating pairs through simulation-based optimized progeny allocation strategies in plant breeding”,

Frontiers in Plant Science 15:1361894 (2024) [bioRxiv: 10.1101/2023.01.25.525616] 


"Assessing the potential for genome-assisted breeding in red perilla using quantitative trait locus analysis and genomic prediction",

Genes 14(12), 2137 (2023) [bioRxiv: 10.1101/2023.10.15.560967]


Random regression for modeling soybean plant response to irrigation changes using time-series multispectral data",

Frontiers in Plant Science 14 (2023) [bioRxiv: 10.1101/2023.04.05.535659] 


Bayesian optimization of multivariate genomic prediction models based on secondary traits for improved accuracy gains and phenotyping costs”,

Theor Appl Genet 135, 35–50 (2022). [bioRxiv: 10.1101/2020.11.20.390963] 


"Allelic composition of carotenoid metabolic genes in 13 founders influences carotenoid composition in juice sac tissues of fruits among Japanese citrus breeding population",

PLOS ONE 16(2): e0246468, 2021.


"Dissecting the Genetic Architecture of Biofuel-Related Traits in a Sorghum Breeding Population",

G3: GENES, GENOMES, GENETICS December 1, 2020 vol. 10 no. 12 4565-4577.


Choosing the optimal population for a genome-wide association study: A simulation using whole-genome sequences from rice”,

The Plant Genome, 2020; 13:e20005. [bioRxiv: 10.1101/798850]


RAINBOW: Haplotype-based genome-wide association study using a novel SNP-set method”,

PLOS Computational Biology, 16(2): e1007663, 2020. [bioRxiv: 10.1101/612028]

Ph.D. Dissertation:

Kosuke Hamazaki, "Simulation studies and development of new methods to contribute to optimization of genome-assisted breeding", 2023 (Will be Public)

Master Thesis:

Kosuke Hamazaki, "Simulation studies and development of new methods to contribute to optimization of genome-assisted breeding", 2020 (Private)

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