%0 Journal Article
%T Simulation of greenhouse tomato dry matter partitioning and yield prediction<br>温室番茄干物质分配与产量的模拟分析
%A NI Jiheng
%A LUO Weihong
%A LI Yongxiu
%A DAI Jianfeng
%A JIN Liang
%A XU Guobin
%A CHEN Yongshan
%A CHEN Chunhong
%A <br>倪纪恒
%A 罗卫红
%A 李永秀
%A 戴剑锋
%A 金亮
%A 徐国彬
%A 陈永山
%A 陈春宏
%J 应用生态学报
%D 2006
%I 
%X Based on the relationships between dry matter partitioning index, harvest index, and product of thermal effectiveness and PAR, a simulation model for greenhouse tomato dry matter partitioning and yield prediction was built, and validated by independent experimental data of different cultivars, substrates and locations. The coefficient of determination (R2) between simulated and measured shoot, root, stem, leaf and fruit dry matter weight based on 1:1 line was 0.95, 0.57, 0.82, 0.79 and 0.93, the root mean squared error (RMSE) between them was 647.0, 78.1, 279.0, 496.9 and 381.8 kg x hm(-2), and the R2 and RMSE between predicted and measured yield based on 1:1 line were 0.88 and 5 828.5 kg x hm(-2), respectively. Compared to 'source-sink' theory, the model developed in this study could give satisfactory prediction of the dry weight of leaf, stem, fruit and yield, with fewer parameters that could be easily obtained in practice.
%K Greenhouse tomato
%K Dry matter partitioning
%K Yield prediction
%K Partitioning index
%K Harvest index<br>温室番茄
%K 干物质分配
%K 产量预测
%K 分配指数
%K 收获指数
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=90BA3D13E7F3BC869AC96FB3DA594E3FE34FBF7B8BC0E591&jid=42FEDDFE54F8BCD9D5FD1926ABDD7722&aid=B1045D7412DC5D9B&yid=37904DC365DD7266&vid=BCA2697F357F2001&iid=94C357A881DFC066&sid=A9C78B2A6AAEEAAD&eid=43AADF4B53A8BF6F&journal_id=1001-9332&journal_name=应用生态学报&referenced_num=15&reference_num=26