Geographical detector-based wheat quality attribution under genotype, environment, and crop management frameworks
文献类型：期刊论文
| 作者 | Zhang, Xueyan2; Ma, Xin1; Li, Yingchun1; Ju, Hui1 |
| 刊名 | FRONTIERS IN ENVIRONMENTAL SCIENCE
 |
| 出版日期 | 2022-10-24 |
| 卷号 | 10页码:11 |
| 关键词 | wheat quality improvement comprehensive strategy winter wheat geographical detector model China |
| DOI | 10.3389/fenvs.2022.1037979 |
| 通讯作者 | Ma, Xin(maxin02@caas.cn) |
| 英文摘要 | Elucidating the determining factors for wheat quality is an essential but complex task, influenced by wheat cultivars, environmental conditions, and management decisions. This study analyzed 285 winter wheat varieties, 13 wheat quality traits, and 9 influencing factors under a genotype, environment, and crop management framework by a geographical detector model in China's main winter wheat-producing area. Our results revealed the attribution of wheat quality in the genotype x environment x crop management (G x E x M) interaction framework. The factors influencing wheat quality in China were ranked as follows: wheat cultivar > precipitation > T-max > irrigation > soil type > T-min > fertiliser > sunshine duration > landform. The wheat cultivar was the dominant factor affecting wheat quality, which explained 38.57%, 38.78%, and 28.13% of the variation in gluten index, stabilization time, and sedimentation index, respectively. In addition, the sensitivity of the wheat quality traits to the G x E x M interaction framework was detected. The wheat quality trait sensitivity ranked from the highest to the lowest followed the order gluten index > sedimentation index > hardness index > stabilisation time > seed moisture > crude protein > formation time > wet gluten > water absorption > landing value > flour output ratio > ash > capacity. Gluten and sedimentation were highly sensitive traits for wheat quality under the G x E x M interaction framework, with sensitivity index values of 66.94% and 58.11% in the G x E x M framework, respectively. Furthermore, we proposed an integrated improvement strategy for an end-use wheat quality trait based on the sensitivity of wheat quality traits in the G x E x M framework. The gluten index, crude protein, wet gluten, and hardness index should be prioritized according to wheat's commercial value and sensitivity index. However, other quality traits with higher commercial importance, such as flour output ratio, capacity, and landing value, should be put behind the improvement list. Our result identified the critical factors for most wheat quality traits in the G x E x M framework. It extended the comprehensive strategy for wheat quality improvement. |
| WOS关键词 | BREAD-MAKING QUALITY ; DRIVING FACTORS ; GRAIN QUALITY ; SPRING WHEAT ; YIELD ; FERTILIZATION ; CULTIVAR ; IMPACT ; AREAS ; PM2.5 |
| 资助项目 | National Key Research and Development Program of China ; National Natural Science Foundation of China ; [2019YFA0607403] ; [2021xjkk0903] ; [32171561] ; [32271638] |
| WOS研究方向 | Environmental Sciences & Ecology |
| 语种 | 英语 |
| WOS记录号 | WOS:000880144400001 |
| 出版者 | FRONTIERS MEDIA SA |
| 资助机构 | National Key Research and Development Program of China ; National Natural Science Foundation of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/186713]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Ma, Xin |
| 作者单位 | 1.Chinese Acad Agr Sci, Inst Environm & Sustainable Dev Agr, Beijing, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhang, Xueyan,Ma, Xin,Li, Yingchun,et al. Geographical detector-based wheat quality attribution under genotype, environment, and crop management frameworks[J]. FRONTIERS IN ENVIRONMENTAL SCIENCE,2022,10:11. |
| APA | Zhang, Xueyan,Ma, Xin,Li, Yingchun,&Ju, Hui.(2022).Geographical detector-based wheat quality attribution under genotype, environment, and crop management frameworks.FRONTIERS IN ENVIRONMENTAL SCIENCE,10,11. |
| MLA | Zhang, Xueyan,et al."Geographical detector-based wheat quality attribution under genotype, environment, and crop management frameworks".FRONTIERS IN ENVIRONMENTAL SCIENCE 10(2022):11. |
入库方式： OAI收割
来源：地理科学与资源研究所
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