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| DOI | 10.1186/s13765-019-0447-z |
| A statistical model for determining zearalenone contamination in rice (Oryza sativa L.) at harvest and its prediction under different climate change scenarios in South Korea | |
| Joo, Yongsung; Ok, Hyun Ee; Kim, Jihyun; Lee, Sang Yoo; Jang, Su Kyung; Park, Ki Hwan; Chun, Hyang Sook | |
| 发表日期 | 2019-07-26 |
| ISSN | 2468-0834 |
| EISSN | 2468-0842 |
| 卷号 | 62 |
| 英文摘要 | Mycotoxin contamination of food grains is a food safety hazard, and zearalenone (ZEN) is one such mycotoxin affecting rice grains (Oryza sativa L.). A statistical model for estimating the impacts of climate change on ZEN contamination of rice grains in So |
| 关键词 | Climate changePredictive mapRiceStatistical modelZearalenone |
| 学科领域 | Food Science & Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:000477648600001 |
| 来源期刊 | APPLIED BIOLOGICAL CHEMISTRY
 |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/80050 |
| 作者单位 | Chung Ang Univ, Dept Food Sci & Technol, Anseong 456756, South Korea |
| 推荐引用方式 GB/T 7714 | Joo, Yongsung,Ok, Hyun Ee,Kim, Jihyun,et al. A statistical model for determining zearalenone contamination in rice (Oryza sativa L.) at harvest and its prediction under different climate change scenarios in South Korea[J],2019,62. |
| APA | Joo, Yongsung.,Ok, Hyun Ee.,Kim, Jihyun.,Lee, Sang Yoo.,Jang, Su Kyung.,...&Chun, Hyang Sook.(2019).A statistical model for determining zearalenone contamination in rice (Oryza sativa L.) at harvest and its prediction under different climate change scenarios in South Korea.APPLIED BIOLOGICAL CHEMISTRY,62. |
| MLA | Joo, Yongsung,et al."A statistical model for determining zearalenone contamination in rice (Oryza sativa L.) at harvest and its prediction under different climate change scenarios in South Korea".APPLIED BIOLOGICAL CHEMISTRY 62(2019). |
| 条目包含的文件 | 条目无相关文件。 | |||||
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