Data mining: Methodology for evaluating adaptive cultivars to climate change using simulation model
| Project/Area Number |
15K14635
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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 |
Crop production science
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| Research Institution | Iwate University |
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Principal Investigator |
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| Co-Investigator(Kenkyū-buntansha) |
熊谷 悦史 国立研究開発法人農業・食品産業技術総合研究機構, 東北農業研究センター, 主任研究員 (80583442)
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| Project Period (FY) |
2015-04-01 – 2017-03-31
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| Project Status |
Completed (Fiscal Year 2016)
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| Budget Amount *help |
¥3,900,000 (Direct Cost: ¥3,000,000、Indirect Cost: ¥900,000)
Fiscal Year 2016: ¥2,340,000 (Direct Cost: ¥1,800,000、Indirect Cost: ¥540,000)
Fiscal Year 2015: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
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| Keywords | 数理モデル / ビッグデータ / イネ / 品種 / 気候変動 / 表現型可塑性 / 成長モデル / 多収 / 気象 |
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| Outline of Final Research Achievements |
Phenotype data of genotypes in yield and yield components obtained field trials is valuable data for future breeding. However, the data per se of different genotypes is a result of mixture of (1) ability of the genotype and (2) effect of environments, so it is required to develop new method to evaluate ability of genotypes with excluding the effects of environments.
We developed new method using simulation model for evaluating crop productivity, and screened three genotypes with different yielding ability. The method was confirmed by the field and pot trials at identical location. The developed method can be used for data mining from big data of field trials.
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Report
(3 results)
Research Products
(5 results)
