欢迎访问《应用生态学报》官方网站,今天是 分享到:

应用生态学报

• 研究报告 • 上一篇    下一篇

FACE水稻干物质积累与分配模型

孙成明1;庄恒扬1;杨连新1;杨洪建1;黄建晔1;董桂春1;朱建国2;王余龙1   

  1. 1扬州大学江苏省作物遗传生理重点实验室, 扬州 225009;2中国科学院南京土壤研究所, 南京 210008
  • 收稿日期:2005-09-26 修回日期:2006-07-20 出版日期:2006-10-18 发布日期:2006-10-18

Dry matter accumulation and allocation models of rice in FACE

SUN Chengming1; ZHUANG Hengyang1;YANG Lianxin1; YANG Hongjian1; HUANG Jianye1; DONG Guichun1; ZHU Jianguo2; WANG Yulong1   

  1. 1Key Laboratory of Crop Genetics and Physiology of Jiangsu Province, Yangzhou University, Yangzhou 225009, China;2Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China
  • Received:2005-09-26 Revised:2006-07-20 Online:2006-10-18 Published:2006-10-18

摘要: 借助中国唯一的FACE技术平台,通过设置不同的N肥处理,研究了FACE条件下水稻干物质积累及分配动态的模拟模型.模型以生理发育时间为驱动因子,以CO2浓度函数为主要影响因子,同时引入N素影响因子调节干物质的积累与各器官分配指数.模拟结果表明,随着大气CO2浓度的增加,水稻地上部总干物重显著增加,叶干重分配指数下降,穗干重分配指数基本不变,茎干重分配指数前期增加,后期持平.通过不同年份试验数据对模型的验证,预测根均方差(RMSE)较小,且相关系数均达到了极显著水平.表明模型拟合程度高,具有较好的适应性和预测性.

关键词: 锥栗人工林, 养分元素, 系统分析, 动态模拟

Abstract: A fertilization experiment with 150 kg N·hm-2, 250 kg N·hm-2 and 350 kg N·hm-2 was conducted on the free-air CO2 enrichment (FACE) platform at Wuxi of Jiangsu Province in 2001~2003, aimed to build a simulation model of dry matter accumulation and allocation of rice in FACE. Physiological development time and CO2 concentration were selected as the driving factor and the main affecting factor, respectively, and nitrogen application rate was introduced as the factor adjusting the dry matter accumulation and allocation in green leaf, stem and panicle. The results showed that with the increase of atmospheric CO2 concentration, the drymatter accumulation in above-ground part of rice increased remarkably, but the allocation index dropped in green leaf, changed little in panicle, while increased in stem at early stage and equaled to the CK at last. The model was tested with different experimental data, and the results indicated that the model had high fitting degree and preferable applicability and predictability.

Key words: Castanea henryi, Nutrient element, System analysis, Simulation