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| Application of Numerical Weather Prediction Data to Estimate Infection Risk of Bacterial Grain Rot of Rice in Korea |
| Hyo-suk Kim, Ki Seok Do, Joo Hyeon Park, Wee Soo Kang, Yong Hwan Lee, Eun Woo Park |
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Plant Pathol J. 2020;36(1):54-66. Published online February 1, 2020 DOI: https://doi.org/10.5423/PPJ.OA.11.2019.0281 |
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Application of Numerical Weather Prediction Data to Estimate Infection Risk of Bacterial Grain Rot of Rice in Korea The Plant Pathology Journal. 2020;36(1):54-66  QTLs for Resistance to Major Rice Diseases Exacerbated by Global Warming: Brown Spot, Bacterial Seedling Rot, and Bacterial Grain Rot Rice. 2016;9(1): Mapping a quantitative trait locus for resistance to bacterial grain rot in rice Rice. 2013;6(1): SMOOTHING THE INITIAL DATA Weather Prediction by Numerical Process. 2007;214-216 Operational numerical weather prediction Numerical Weather and Climate Prediction. 2010;358-365 Half a century of numerical weather prediction Fundamentals of Numerical Weather Prediction. 2011;1-14 Historical overview of numerical weather prediction Atmospheric Modeling, Data Assimilation and Predictability. 2002;1-31 Probabilistic view of numerical weather prediction and ensemble prediction Uncertainties in Numerical Weather Prediction. 2021;81-117 Front Matter Numerical Weather Prediction and Data Assimilation. 2020; Weather prediction equations Fundamentals of Numerical Weather Prediction. 2011;15-38 |
