Satoshi Kawakita, Masanori Yamasaki, Ryo Teratani, Shiori Yabe, Hiromi Kajiya-Kanegae, Hiroe Yoshida, Erina Fushimi, Hiroshi Nakagawa. Dual ensemble approach to predict rice heading date by integrating multiple rice phenology models and machine learning-based genetic parameter regression models. Agricultural and Forest Meteorology. 2024. 344. 109821-109821
Shujun Wei, Ryokei Tanaka, Taiji Kawakatsu, Shota Teramoto, Nobuhiro Tanaka, Matthew Shenton, Yusaku Uga, Shiori Yabe. Genome- and Transcriptome-wide Association Studies to Discover Candidate Genes for Diverse Root Phenotypes in Cultivated Rice. Rice. 2023. 16. 1. 55
Eiji Yamamoto, Shiori Yabe, Mayuko Inari-Ikeda, Hideki Yoshida, Yoichi Morinaka, Makoto Matsuoka, Hidemi Kitano. Independent control of organ number and distribution pattern in rice panicle. Frontiers in Plant Science. 2023. 14. 1119770-1119770
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Ryoma Takeshima, Shiori Yabe, Katsuhiro Matsui. Genetic basis of maturity time is independent from that of flowering time and contributes to ecotype differentiation in common buckwheat (Fagopyrum esculentum Moench). BMC Plant Biology. 2022. 22. 353
Simulation based optimization for genomics-assisted breeding scheme in an outcrossing crop assuming traits in a trade-off relationship depending on the situation
(Plant and Animal Genome 30 2023)
