Yamada Tetsuya

ヤマダテツヤ | Yamada Tetsuya

Affiliation and department：
Job title： Principal Researcher

Research field (2)： Plant genetics and breeding , Crop production science

Research keywords (7)： Plant breeding , Soybean , High yielding , Shattering tolerance , DNA marker , Machine learning , Deep learning

Research theme for competitive and other funds (1)：

2013 - 2016 The study of the mechanism of green stem disorder insensitivity of soybean RILs using metabolomics and ionomics techniques

Papers (28)：

Breeding a high yielding “Soramizuki” soybean variety for the Kanto to Kyushu region, developed from a contemporary U.S. variety. 2023. 2023. 16. 43-64
Kaori Hirata, Ai Hishinuma, Satoshi Shimamura, Shin Kato, Tetsuya Yamada, Akio Kikuchi. Improvement of resistance to pod shattering and the soybean cyst nematode in the high-yielding soybean variety ‘Fukuibuki’ through marker-assisted selection and back-crossing. Breeding Research. 2022. 24. 2. 168-175
Kyoko Toda, Kaori Hirata, Tetsuya Yamada, Koji Takahashi, Eri Ogiso-Tanaka, Yasutaka Tsubokura, Makita Hajika. Flavonoid 3MODIFIER LETTER PRIME-hydroxylase reduces Ca and Mg content in soybean seeds, resulting in decreased hardness of cooked beans. Crop science. 2022. 62. 4. 1405-1414
Akio Onogi, Daisuke Sekine, Akito Kaga, Satoshi Nakano, Tetsuya Yamada, Jianming Yu, Seishi Ninomiya. A method for identifying environmental stimuli and genes responsible for genotype-by-environment interactions from a large-scale multi-environment data set. Frontiers in genetics. 2021. 12
Jun-ichi Matsuoka, Mami Takahashi, Tetsuya Yamada, Yuhi Kono, Naohiro Yamada, Koji Takahashi, Jouji Moriwaki, Hajime Akamatsu. Identification of three closely linked loci conferring broad-spectrum Phytophthora sojae resistance in soybean variety Tosan-231. Theoretical and applied genetics. 2021. 134. 7. 2151-2165

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MISC (68)：

山田哲也, 小野木章雄, 平田香里, 菱沼亜衣, 高橋浩司, 南條洋平, 米丸淳一. Relationship between relative illuminance and yield using soybean lines derived from Japanese-American hybridization. 育種学研究. 2023. 25
Tetsuya Yamada, Akio Onogi, Junich Yonemaru. Development of yield prediction method based on historical data of soybean breeding. Breeding Research. 2022. 24. Supple2. 19
加賀秋人, 藤井健一朗, 福田篤徳, 町田佳代, 松本直, 菊池彰夫, 小松邦彦, 河野雄飛, 大木信彦, 渡邊啓史, et al. Genetic analysis of traits related to canopy structure in soybean using UAV. 育種学研究. 2021. 23
佐山貴司, 山田哲也, 高橋浩司, 石本政男, 小松邦彦, 高田吉丈. QTL analysis of soybean seed weight using two RIL populations derived from the reciprocal mating. 育種学研究. 2020. 22
石川吾郎, GUO W, 常松浩史, 柳澤貴司, 藤田雅也, 山田哲也, 米丸淳一. 生産力検定試験プロットの画像を用いた深層学習による麦類の穂数計測. 育種学研究. 2019. 21. 61

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Education (1)：

Professional career (2)：

Work history (7)：

2024/04 - 現在 Research Center for Agricultural Information Technology, NARO Incubation Laboratory Principal Researcher
2022/04 - 2024/03 NARO Institute of Crop Science, Division of Smart Breeding Research Senior Researcher
2020/04 - 2022/03 Secretariat of Agriculture,Forestry and Fisheries Research Councile Research specialist
2019/04 - 2020/03 Iowa State University, Department of Agronomy Visiting scholar
2015/01 - 2020/03 NARO Institute of Crop Science, Field crop research division, soybean breeding unit Senior Researcher

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Awards (3)：

2022/03 - Japanese Society of Breeding Japanese Society of Breeding Award Breeding of shattering resistant soybean cultivars
2019/03 - Crop Science Society of Japan Paper Award of Crop Science Society of Japan Causal Analysis of Yield-increase by Introgression of Shattering Resistance Gene pdh1 in Soybean
2010/03 - Japanese society of breeding Paper award of Japanese society of breeding A major QTL, qPDH1, is commonly involved in shattering resistance of soybean cultivars.

Association Membership(s) (2)：

CROP SCIENCE SOCIETY OF JAPAN , JAPANESE SOCIETY OF BREEDING

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