Simulation of greenhouse tomato dry matter partitioning and yield prediction
Ni, J.; Luo, W.; Li, Y.; Dai, J.; Jin, L.; Xu, G.; Chen, Y.; Chen, C.
Ying Yong Sheng Tai Xue Bao 17(5): 811-816
2006
ISSN/ISBN: 1001-9332 PMID: 16883806 Document Number: 601985
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 center dot hm(-2) and the R and RMSE between predicted and measured yield based on 1 : 1 line were 0. 88 and 5 828.5 kg center dot 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.