リンク:
Kosuke Hamazaki, Koji Tsuda, Hiroyoshi Iwata,
“Optimizing progeny allocation strategies in breeding schemes while updating genomic prediction models”,
[bioRxiv: 10.1101/2025.08.19.671165]
Sei Kinoshita, Kengo Sakurai, Kosuke Hamazaki, Takahiro Tsusaka, Miki Sakurai, Kenta Shirasawa, Sachiko Isobe, Hiroyoshi Iwata,
“Optimization of crossing strategy based on the usefulness criterion in interpopulation crosses considering different marker effects among populations”,
Theoretical and Applied Genetics, 138: 155, 2025. [bioRxiv: 10.1101/2025.01.21.634020]
Hideto Mochizuki, Mai F. Minamikawa, Kosuke Hamazaki, Miyuki Kunihisa, Shigeki Moriya, Koji Noshita, Takeshi Hayashi, Yuichi Katayose, Toshiya Yamamoto, Hiroyoshi Iwata,
“Haplotype Bias Detection Using Pedigree-Based Transmission Simulation: Traces of Selection That Occurred in Apple Breeding”,
[bioRxiv: 10.1101/2025.03.16.643583]
Kosuke Hamazaki, Hiroyoshi Iwata, Tristan Mary-Huard,
“A novel genome-wide association study method for detecting quantitative trait loci interacting with complex population structures in plant genetics”,
Genetics, 229(4): iyaf038, 2025. [bioRxiv: 10.1101/2024.03.13.584913]
Kosuke Hamazaki, Hiroyoshi Iwata, Koji Tsuda,
“DiffBreed: Automatic differentiation enables efficient gradient-based optimization of breeding strategies”,
[bioRxiv: 10.1101/2024.11.29.625951]
Kengo Sakurai, Kosuke Hamazaki, Minoru Inamori, Akito Kaga, Hiroyoshi Iwata,
“Cross Potential Selection: A Proposal for Optimizing Crossing Combinations in Recurrent Selection Using the Usefulness Criterion of Future Inbred Lines”,
G3: GENES, GENOMES, GENETICS, 14(11): jkae224, 2024. [bioRxiv: 10.1101/2024.04.05.588296]
Mashiro Okada, Clément Barras, Yusuke Toda, Kosuke Hamazaki, Yoshihiro Ohmori, Yuji Yamasaki, Hirokazu Takahashi, Hideki Takanashi, Mai Tsuda, Masami Yokota Hirai, Hisashi Tsujimoto, Akito Kaga, Mikio Nakazono, Toru Fujiwara, Hiroyoshi Iwata,
“High-Throughput Phenotyping of Soybean Biomass: Conventional Trait Estimation and Novel Latent Feature Extraction Using UAV Remote Sensing and Deep Learning Models”,
Plant Phenomics, 6: 0244, 2024. [bioRxiv: 10.1101/2024.05.14.594109]
Kosuke Hamazaki and Hiroyoshi Iwata,
“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]
Sei Kinoshita, Kengo Sakurai, Kosuke Hamazaki, Takahiro Tsusaka, Miki Sakurai, Terue Kurosawa, Youichi Aoki, Kenta Shirasawa, Sachiko Isobe, Hiroyoshi Iwata,
“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]
Kengo Sakurai, Yusuke Toda, Kosuke Hamazaki, Yoshihiro Ohmori, Yuji Yamasaki, Hirokazu Takahashi, Hideki Takanashi, Mai Tsuda, Hisashi Tsujimoto, Akito Kaga, Mikio Nakazono, Toru Fujiwara, and Hiroyoshi Iwata,
“Random regression for modeling soybean plant response to irrigation changes using time-series multispectral data”,
Frontiers in Plant Science, 14: 1201806, 2023. [bioRxiv: 10.1101/2023.04.05.535659]
Kosuke Hamazaki and Hiroyoshi Iwata,
“Bayesian optimization of multivariate genomic prediction models based on secondary traits for improved accuracy gains and phenotyping costs”,
Theoretical and Applied Genetics, 135: 35–50, 2022. [bioRxiv: 10.1101/2020.11.20.390963]
Hiroshi Fujii, Keisuke Nonaka, Mai F. Minamikawa, Tomoko Endo, Aiko Sugiyama, Kosuke Hamazaki, Hiroyoshi Iwata, Mitsuo Omura, and Takehiko Shimada,
“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.
Motoyuki Ishimori, Hideki Takanashi, Kosuke Hamazaki, Yamato Atagi, Hiromi Kajiya-Kanegae, Masaru Fujimoto, Junichi Yoneda, Tsuyoshi Tokunaga, Nobuhiro Tsutsumi, and Hiroyoshi Iwata
“Dissecting the Genetic Architecture of Biofuel-Related Traits in a Sorghum Breeding Population”,
G3: GENES, GENOMES, GENETICS, 10(12): 4565-4577, 2020.
Kosuke Hamazaki, Hiromi Kajiya-Kanegae, Masanori Yamasaki, Kaworu Ebana, Shiori Yabe, Hiroshi Nakagawa, and Hiroyoshi Iwata,
“Choosing the optimal population for a genome-wide association study: A simulation using whole-genome sequences from rice”,
The Plant Genome, 13:e20005, 2020. [bioRxiv: 10.1101/798850]
Kosuke Hamazaki and Hiroyoshi Iwata,
“RAINBOW: Haplotype-based genome-wide association study using a novel SNP-set method”,
PLOS Computational Biology, 16(2): e1007663, 2020. [bioRxiv: 10.1101/612028]
濱崎甲資,「ゲノム育種の最適化に寄与するシミュレーション研究及び新規手法の開発」, 2023（公開）
濱崎甲資,「ゲノム育種の最適化に寄与するシミュレーション研究及び新規手法の開発」, 2020（未公開）