Knowledge Commons of Institute of Automation，CAS
| Optimization of source-sink dynamics in plant growth for ideotype breeding: A case study on maize | |
Qi, Rui1,2; Ma, Yuntao1,3; Hu, Baogang1 ; de Reffye, Philippe4,5; Cournede, Paul-Henry2,4
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| 发表期刊 | COMPUTERS AND ELECTRONICS IN AGRICULTURE
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| 2010-04-01 | |
| 卷号 | 71期号:1页码:96-105 |
| 文章类型 | Article |
| 摘要 | The objective of this work is to illustrate how a mathematical model of plant growth could be possibly used to design ideotypes and thus leads to new breeding strategies based on the guidance from optimization techniques. As a test case, maize (Zea mays L, cv. DEA), which is one of the most widely cultivated cereals all over the world, is selected for this study. The experimental data reported in a previous study are used to estimate parameters of a functional-structural plant growth model, namely, "GreenLab". As the corn cob and its leaves and stem can be benefited from economically, a single objective optimization problem (maximization of cob weight) and a multi-objective optimization problem (maximization of cob weight, maximization of leaf and stem weight) are formulated, respectively. The Particle Swarm Optimization approach is applied to solve these two kinds of optimization problems based on the GreenLab model. The optimized variables are specific parameters of the GreenLab model, which are the cob sink strength and the coefficients of the cob sink variation function. The optimization results revealed that to achieve breeding objectives, the optimal trade-offs of source-sink dynamics should be considered. Moreover, the optimization results of the multi-objective optimization problem revealed that the harvest index may not be the evaluation factor for yield improvement. The work described in this paper showed that such optimization approaches relying on plant growth models may help improve breeding strategies and design ideotypes of high-yield maize, especially in the current agricultural context with the increasing importance of co-products when designing cultivation practices. (C) 2010 Elsevier B.V. All rights reserved. |
| 关键词 | Pareto Front Greenlab Functional-structural Model Zea Mays Multi-objective Optimization |
| WOS标题词 | Science & Technology ; Life Sciences & Biomedicine ; Technology |
| 关键词[WOS] | STRUCTURAL MODEL GREENLAB ; PARAMETER OPTIMIZATION ; FIELD VALIDATION ; KERNEL WEIGHT ; YIELD ; COMPETITION ; SIMULATION ; RATIO ; VISUALIZATION ; MORPHOGENESIS |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS研究方向 | Agriculture ; Computer Science |
| WOS类目 | Agriculture, Multidisciplinary ; Computer Science, Interdisciplinary Applications |
| WOS记录号 | WOS:000275585100012 |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://ir.ia.ac.cn/handle/173211/2810 |
| 专题 | 多模态人工智能系统全国重点实验室_多媒体计算 |
| 作者单位 | 1.Chinese Acad Sci, LIAMA, Inst Automat, NLPR, Beijing 100190, Peoples R China 2.Ecole Cent Paris, Lab Appl Math, F-92295 Chatenay Malabry, France 3.China Agr Univ, Coll Resources & Environm, Minist Educ, Key Lab Plant Soil Interact, Beijing 100193, Peoples R China 4.INRIA Saclay Ile France, EPI Digiplant, F-91893 Orsay, France 5.CIRAD Montpellier, AMAP, F-34398 Montpellier, France |
| 第一作者单位 | 模式识别国家重点实验室 |
| 推荐引用方式 GB/T 7714 | Qi, Rui,Ma, Yuntao,Hu, Baogang,et al. Optimization of source-sink dynamics in plant growth for ideotype breeding: A case study on maize[J]. COMPUTERS AND ELECTRONICS IN AGRICULTURE,2010,71(1):96-105. |
| APA | Qi, Rui,Ma, Yuntao,Hu, Baogang,de Reffye, Philippe,&Cournede, Paul-Henry.(2010).Optimization of source-sink dynamics in plant growth for ideotype breeding: A case study on maize.COMPUTERS AND ELECTRONICS IN AGRICULTURE,71(1),96-105. |
| MLA | Qi, Rui,et al."Optimization of source-sink dynamics in plant growth for ideotype breeding: A case study on maize".COMPUTERS AND ELECTRONICS IN AGRICULTURE 71.1(2010):96-105. |
| 条目包含的文件 | ||||||
| 文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
| Qi10.pdf（826KB） | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | 浏览 | |
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