| Project/Area Number |
19208003
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| Research Category |
Grant-in-Aid for Scientific Research (A)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Crop science/Weed science
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| Research Institution | National Institute for Agro-Environmental Sciences |
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Principal Investigator |
HASEGAWA Toshihiro National Institute for Agro-Environmental Sciences, 大気環境研究領域, 上席研究員 (10228455)
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| Co-Investigator(Kenkyū-buntansha) |
NAKAGAWA Hiroshi 石川県立大学, 生物資源環境学部, 准教授 (90207738)
MOCHIZUKI Toshihiro 九州大学, 大学院・農学研究院, 准教授 (60239572)
IWATA Hiroyoshi 独立行政法人農業・食品産業技術総合研究機構, 中央農業総合研究センター・データマイニング研究チーム, 主任研究員 (00355489)
OHSAWA Ryo 筑波大学, 生命環境科学研究科, 准教授 (80211788)
HAYASHI Takeshi 独立行政法人農業生物資源研究所, 動物科学研究領域, 主任研究員 (70370674)
NIMOMIYA Seishi 独立行政法人農業・食品産業技術総合研究機構, 中央農業総合研究センター, 研究管理監 (90355488)
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| Project Period (FY) |
2007 – 2009
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| Project Status |
Completed (Fiscal Year 2009)
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| Budget Amount *help |
¥28,990,000 (Direct Cost: ¥22,300,000、Indirect Cost: ¥6,690,000)
Fiscal Year 2009: ¥10,140,000 (Direct Cost: ¥7,800,000、Indirect Cost: ¥2,340,000)
Fiscal Year 2008: ¥10,140,000 (Direct Cost: ¥7,800,000、Indirect Cost: ¥2,340,000)
Fiscal Year 2007: ¥8,710,000 (Direct Cost: ¥6,700,000、Indirect Cost: ¥2,010,000)
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| Keywords | 発育生理学 / 遺伝学 / モデル化 / イネ / 環境応答 / 早晩性 |
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| Research Abstract |
The crop genotypes and environment interaction has long been a major field of the study in both breeding and crop physiology, and will become more important in the future under climate change. Up to now, the effects of genotypes and environments on crop phenotypes are analyzed rather independently, but should be analyzed more interactively. In this study, we grew 174 rice genotypes derived form Koshihikari/Kasalath whose genetic information is known at five sites that are widely different in their growth environments. We then analyzed environmental responses of heading stage with a new analytical method coupling crop growth model and genetic model. This proposed method detected specific regions of chromosomes that are linked to environmental responses of heading, some of which could not be detected with a conventional method using single-environment data, so can be used to bridge gaps between genes and environmental responses of the crop.
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