| Project/Area Number |
25660207
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| Research Category |
Grant-in-Aid for Challenging Exploratory Research
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| Allocation Type | Multi-year Fund |
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| Research Field |
Agricultural environmental engineering/Agricultural information engineering
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| Research Institution | National Agriculture and Food Research Organization |
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Principal Investigator |
HIRAFUJI Masayuki 独立行政法人農業・食品産業技術総合研究機構, 北海道農業研究センター大規模畑作研究領域, 領域長 (00370495)
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| Co-Investigator(Kenkyū-buntansha) |
IKEDA Seishi 独立行政法人農業・食品産業技術総合研究機構, 北海道農業研究センター大規模畑作研究領域, 主任研究員 (20396609)
NISHINAKA Mio 独立行政法人農業・食品産業技術総合研究機構, 北海道農業研究センター畑作基盤研究領域, 研究員 (90586158)
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| Project Period (FY) |
2013-04-01 – 2015-03-31
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| Project Status |
Completed (Fiscal Year 2014)
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| Budget Amount *help |
¥4,030,000 (Direct Cost: ¥3,100,000、Indirect Cost: ¥930,000)
Fiscal Year 2014: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2013: ¥2,600,000 (Direct Cost: ¥2,000,000、Indirect Cost: ¥600,000)
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| Keywords | 共生微生物 / 植物 / 適応複雑系 / 一般化Lotka-Volterra方程式 / センサネットワーク / 光環境 / ハイパースペクトルイメージング / レーザー蛍光 / ハイパースペクトルカメラ / センサーネットワーク / スペクトラム / 共生微生物群集 / DNA / メタボローム / 光センシング / フェノミクス / 動態 |
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| Outline of Final Research Achievements |
Growth and phenotypic expression pf plants are affected by Microbiome in plant tissues. We challenged to modeling of the symbiotic systems and optical sensing methods. Environment data by a sensor network, microbiome abundances by meta-genomics and hyper-spectrum images are collected as time series data successfully. Moreover fluorescence imaging induced by semiconductor Laser devices was tried. The time series data of microbiome shows a competitive phenomenon between so-called “good bacteria” and “bad bacteria”. The most dynamics in the competitive phenomenon could be modeled by the general ecosystem model, and partially it seems affected by environmental factor. This result means importance of simultaneous collection of environmental data.
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