Use of a leaf chlorophyll content index to improve the prediction of above-ground biomass and productivity
文献类型：期刊论文
| 作者 | Chen, Fang1,4; Yuan, Xiaoliang3,4; Nie, Jun2; Liao, Yulin2; Lu, Yanhong2; Liu, Yi4; Liu, Chuang3,4 |
| 刊名 | PEERJ
 |
| 出版日期 | 2019-01-11 |
| 卷号 | 6页码:15 |
| 关键词 | Rice Leaf chlorophyll content index Rice biomass simulation |
| ISSN号 | 2167-8359 |
| DOI | 10.7717/peerj.6240 |
| 英文摘要 | Improving the accuracy of predicting plant productivity is a key element in planning nutrient management strategies to ensure a balance between nutrient supply and demand under climate change. A calculation based on intercepted photosynthetically active radiation is an effective and relatively reliable way to determine the climate impact on a crop above-ground biomass (AGB). This research shows that using variations in a chlorophyll content index (CCI) in a mathematical function could effectively obtain good statistical diagnostic results between simulated and observed crop biomass. In this study, the leaf CCI, which is used as a biochemical photosynthetic component and calibration parameter, increased simulation accuracy across the growing stages during 2016-2017. This calculation improves the accuracy of prediction and modelling of crops under specific agroecosystems, and it may also improve projections of AGB for a variety of other crops. |
| 资助项目 | Special Fund for Agro-scientific Research in the Public Interest of China[20150312203] ; International Plant Nutrition Institute (IPNI)[IPNI-HB-45] |
| WOS研究方向 | Science & Technology - Other Topics |
| 语种 | 英语 |
| WOS记录号 | WOS:000455528100009 |
| 出版者 | PEERJ INC |
| 源URL | [http://202.127.146.157/handle/2RYDP1HH/6442]  |
| 专题 | 中国科学院武汉植物园 |
| 通讯作者 | Chen, Fang; Lu, Yanhong |
| 作者单位 | 1.China Program Int Plant Nutr Inst, Wuhan, Hubei, Peoples R China 2.Hunan Acad Agr Sci, Soil & Fertilizer Inst, Changsha, Hunan, Peoples R China 3.Univ Chinese Acad Sci, Beijing, Peoples R China 4.Chinese Acad Sci, Key Lab Aquat Bot & Watershed Ecol, Wuhan Bot Garden, Wuhan, Hubei, Peoples R China |
| 推荐引用方式 GB/T 7714 | Chen, Fang,Yuan, Xiaoliang,Nie, Jun,et al. Use of a leaf chlorophyll content index to improve the prediction of above-ground biomass and productivity[J]. PEERJ,2019,6:15. |
| APA | Chen, Fang.,Yuan, Xiaoliang.,Nie, Jun.,Liao, Yulin.,Lu, Yanhong.,...&Liu, Chuang.(2019).Use of a leaf chlorophyll content index to improve the prediction of above-ground biomass and productivity.PEERJ,6,15. |
| MLA | Chen, Fang,et al."Use of a leaf chlorophyll content index to improve the prediction of above-ground biomass and productivity".PEERJ 6(2019):15. |
入库方式： OAI收割
来源：武汉植物园
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