| 遗传算法在盐分胁迫下冬小麦根系分布预报中的应用 |
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| 作者姓名： | 罗长寿 李保国 左 强 王 东 |
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| 作者单位： | 北京市农林科学院农业科技信息研究所，中国农业大学资源与环境学院 北京100094，中国农业大学资源与环境学院，中国农业大学资源与环境学院，中国农业大学资源与环境学院，北京100089，北京100094，北京100094，北京100094 |
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| 摘 要： | 盐分存在条件下根系在土壤剖面中的分布会随众多的因素产生变化,由常规的拟合方法得到的根系分布与实际值会存在较大的误差。在此,基于遗传算法建立了一种获得盐分胁迫下冬小麦根系分布参数的模型,经过检验,模型整体预报效果较好,可以通过间接的、相对容易的途径获得相对准确的根系参数,可以满足实际应用的需求。
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| 关 键 词： | 遗传算法 根系分布 预报 盐分胁迫 |
Application of Genetic Algorithm in Predicting the Root Distribution of Winter Wheat under Salinity Stress |
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| Authors: | Luo Changshou Li Baoguo Zuo Qiang Wang Dong |
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| Institution: | 1,Institute of Information on Science and Technology of Agriculture, Beijing Academy of Agriculture and forestry Sciences, Beijing, 100089; 2,College of Resources and Environment, China Agricultural University, Beijing 100094 |
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| Abstract: | Under salinity stress condition, the root distribution of winter wheat would have greatly changed with environmental factors. Routine methods of simulating root distribution would bring more errors. In this study, a model to estimate root density distribution was developed under salinity stress condition by applying genetic algorithm. This model was applied to predict the root density distribution of winter wheat. The results showed that the predicted root density had good agreement with experiment data. By using the model, the root distribution of winter wheat could be gotten with indirect and easier approach. |
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| Keywords: | Genetic algorithm Root distribution Predicting Salinity stress |
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