2016 Fiscal Year Final Research Report
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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| Project Period (FY) |
2015-04-01 – 2017-03-31
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| Keywords | 数理モデル / ビッグデータ / イネ / 品種 / 気候変動 |
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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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| Free Research Field |
作物学
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