摘要
根据试验资料及温室番茄(Lycopersicon esculentum)作物的生长特性,构建了基于分配指数(Parti-tioning index,PI)和收获指数(Harvest index,HI)与辐热积(Product of thermal effectiveness and PAR,TEP)关系的番茄干物质分配和产量预测的数学模型,并利用不同品种、基质和地点的试验资料对模型进行检验.模型对番茄地上部分干重、根系干重、茎干重、叶片干重和果干重的预测结果与1∶1直线之间的决定系数(Coefficient of determination,R2)分别为0·95、0·57、0·82、0·79和0·93;统计回归标准误差(Root meansquared error,RMSE)分别为647·0、78·1、279·0、496·9和381·8kg·hm-2;对产量的预测结果与1∶1直线之间的R2和RMSE分别为0·88和5828·5kg·hm-2;不仅预测精度较高,且参数少、用户易于获取,为温室番茄模型应用于温室番茄生产的优化管理奠定了基础.
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 （R^2） 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·hm^-2, and the R^2 and RMSE between predicted and measured yield based on 1：1 line were 0.88 and 5 828.5 kg·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.
出处
《应用生态学报》
CAS
CSCD
北大核心
2006年第5期811-816,共6页
Chinese Journal of Applied Ecology
基金
国家自然科学基金项目(60073028)
国家"863"计划项目(2001AA247023)
上海市科技兴农重点攻关资助项目(2002第3-1-1号)
关键词
温室番茄
干物质分配
产量预测
分配指数
收获指数
Greenhouse tomato, Dry matter partitioning, Yield prediction, Partitioning index, Harvest index.
