Estimation of parameters of a biochemically based model of photosynthesis using a genetic algorithm
文献类型：期刊论文
| 作者 | Su, Yonghong1; Zhu, Gaofeng2; Miao, Zewei3; Feng, Qi1; Chang, Zongqiang1 |
| 刊名 | PLANT CELL AND ENVIRONMENT
 |
| 出版日期 | 2009-12-01 |
| 卷号 | 32期号:12页码:1710-1723 |
| 关键词 | A-C(i) curves genetic algorithm mesophyll donductance photosynthesis model |
| ISSN号 | 0140-7791 |
| DOI | 10.1111/j.1365-3040.2009.02036.x |
| 通讯作者 | Su, Yonghong(syh@lzb.ac.cn) |
| 英文摘要 | Photosynthesis response to carbon dioxide concentration can provide data on a number of important parameters related to leaf physiology. The genetic algorithm (GA), which is a robust stochastic evolutionary computational algorithm inspired by both natural selection and natural genetics, is proposed to simultaneously estimate the parameters [including maximum carboxylation rate allowed by ribulose 1 center dot 5-bisphosphate carboxylase/oxygenase (Rubisco) carboxylation rate (V(cmax)), potential light-saturated electron transport rate (J(max)), triose-phosphate utilization (TPU), leaf dark respiration in the light (R(d)) and mesophyll conductance (g(m))] of the photosynthesis models presented by Farquhar, von Caemmerer and Berry, and Ethier and Livingston. The results show that by properly constraining the parameter bounds the GA-based estimate methods can effectively and efficiently obtain globally (or, at least near globally) optimal solutions, which are as good as or better than those obtained by non-linear curve fitting methods used in previous studies. More complicated problems such as taking the g(m) variation response to CO(2) into account can be easily formulated and solved by using GA. The influence of the crossover probability (P(c)), mutation probability (P(m)), population size and generation on the performance of GA was also investigated. |
| 收录类别 | SCI |
| WOS关键词 | TEMPERATURE RESPONSE FUNCTIONS ; MESOPHYLL CONDUCTANCE ; LEAF PHOTOSYNTHESIS ; GAS-EXCHANGE ; LIMITED PHOTOSYNTHESIS ; CARBON-DIOXIDE ; CO2 DIFFUSION ; LEAVES ; CAPACITY ; LIMITATIONS |
| WOS研究方向 | Plant Sciences |
| WOS类目 | Plant Sciences |
| 语种 | 英语 |
| WOS记录号 | WOS:000271526500006 |
| 出版者 | WILEY-BLACKWELL PUBLISHING, INC |
| URI标识 | http://www.irgrid.ac.cn/handle/1471x/2556225 |
| 专题 | 寒区旱区环境与工程研究所 |
| 通讯作者 | Su, Yonghong |
| 作者单位 | 1.Chinese Acad Sci, Cold & Arid Regions Environm & Engn Res Inst, Beijing 100864, Peoples R China 2.Lanzhou Jiaotong Univ, Sch Math Phys & Software Engn, Lanzhou 730000, Peoples R China 3.Rutgers State Univ, Grant F Walton Ctr Remote Sensing & Spatial Anal, New Brunswick, NJ 08901 USA |
| 推荐引用方式 GB/T 7714 | Su, Yonghong,Zhu, Gaofeng,Miao, Zewei,et al. Estimation of parameters of a biochemically based model of photosynthesis using a genetic algorithm[J]. PLANT CELL AND ENVIRONMENT,2009,32(12):1710-1723. |
| APA | Su, Yonghong,Zhu, Gaofeng,Miao, Zewei,Feng, Qi,&Chang, Zongqiang.(2009).Estimation of parameters of a biochemically based model of photosynthesis using a genetic algorithm.PLANT CELL AND ENVIRONMENT,32(12),1710-1723. |
| MLA | Su, Yonghong,et al."Estimation of parameters of a biochemically based model of photosynthesis using a genetic algorithm".PLANT CELL AND ENVIRONMENT 32.12(2009):1710-1723. |
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来源：寒区旱区环境与工程研究所
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