首页 | 本学科首页   官方微博 | 高级检索  
     

温室网纹甜瓜干物质分配、产量形成与采收期模拟研究
引用本文:袁昌梅,罗卫红,邰翔,张生飞,金亮,陈永山,卜崇兴,徐刚. 温室网纹甜瓜干物质分配、产量形成与采收期模拟研究[J]. 中国农业科学, 2006, 39(2): 353-360
作者姓名:袁昌梅  罗卫红  邰翔  张生飞  金亮  陈永山  卜崇兴  徐刚
作者单位:1. 南京农业大学农学院,南京210095
2. 南京农业大学农学院,南京210095;上海市农业科学院上海市设施园艺技术重点实验室,上海,201106
3. 上海市农业科学院上海市设施园艺技术重点实验室,上海,201106
4. 江苏省农业科学院园艺研究所,南京,210014
基金项目:中国科学院资助项目;国家科技攻关项目
摘    要: 【目的】建立一个可以预测温室网纹甜瓜产量与采收期的模拟模型,为温室网纹甜瓜生产管理和环境调控的优化提供决策支持。【方法】本研究据温室网纹甜瓜器官生长与温度和辐射的关系,建立了基于分配指数的温室网纹甜瓜干物质分配、产量形成与采收期模拟模型,并利用不同基质的试验资料对模型进行了检验。【结果】模型对地上部分干重、根干重、茎干重、叶干重、果实干重的模拟结果与1∶1直线之间的R2分别为0.99、0.65、0.97、0.98和0.98;预测相对误差分别为0.88%、70.21%、7.44%、9.33%和5.28%。模型对网纹甜瓜果实鲜重的模拟结果与1∶1直线之间的R2为0.94,预测相对误差为8.13%,对网纹甜瓜直径的模拟结果与1∶1直线之间的R2为0.95,预测相对误差为9.23%,对网纹甜瓜采收期的预测误差在 1 d内。【结论】与已有的温室作物生长模型相比,本研究建立的模型不仅预测精度较高和功能全面,而且模型参数易获取,具有较强实用性。

关 键 词:温室网纹甜瓜  干物质分配  产量  采收期  果实直径
收稿时间:2005-10-31
修稿时间:2005-10-312005-12-05

Simulation of Dry Matter Partitioning, Yield Formation and Fruit Harvest Date of Greenhouse Muskmelon
YUAN Chang-mei,LUO Wei-hong,TAI Xiang,ZHANG Sheng-fei,JIN Liang,CHEN Yong-shan,BU Chong-xing,XU Gang. Simulation of Dry Matter Partitioning, Yield Formation and Fruit Harvest Date of Greenhouse Muskmelon[J]. Scientia Agricultura Sinica, 2006, 39(2): 353-360
Authors:YUAN Chang-mei  LUO Wei-hong  TAI Xiang  ZHANG Sheng-fei  JIN Liang  CHEN Yong-shan  BU Chong-xing  XU Gang
Abstract:【Objective】 The aim of the study was to develop a simulation model to predict the yield and harvest date of greenhouse muskmelon for the optimization of climate control and crop management for greenhouse muskmelon production. 【Method】Based on the relationships between partitioning index and the accumulated product of thermal effectiveness and photosynthetically active radiation (TEP), a dry matter partitioning,yield formation and harvest date simulation model for greenhouse muskmelon was developed. Experiments with different sowing dates and substrates were carried out in Shanghai and Nanjing to collect data to develop and validate the model. 【Result】The results showed that for shoot dry weight, root dry weight, stem dry weight, leaf dry weight and fruit dry weight, the coefficient of determination R2 between the simulated and the measured value based on the 1:1 line was 0.99, 0.65, 0.97, 0.98, 0.98, respectively; and the relative prediction error (RSE) was 0.88%, 70.21%, 7.44%, 9.33%, 5.28%, respectively. The R2 and RSE between the simulated and the measured fresh weight of muskmelon based on the 1:1 line was 0.94 and 8.13%, respectively. The R2 and RSE between the simulated and the measured diameter of muskmelon fruit based on the 1:1 line were 0.95 and 9.23%, respectively. The prediction error for harvest date was in 1 day. 【Conclusion】From the results mentioned above, it can be concluded that the model developed in this study not only can give satisfactory prediction of dry matter partitioning, yield and harvest date of greenhouse muskmelon, but also is user-friendly.
Keywords:Muskmelon   Dry matter partitioning   Yield   Harvest date   Fruit diameter
本文献已被 CNKI 万方数据 等数据库收录!
点击此处可从《中国农业科学》浏览原始摘要信息
点击此处可从《中国农业科学》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号