Abstract:

Light and temperature are important factors affecting greenhouse tomato growth. In order to find the relationship between light and temperature with growth and development of tomato，a Logistic growth model was constructed for the number of flowers and fruit set, fruit stalk growth, dry matter partition and cumulative Photo-thermal Product (PTP). The model was validated using different crops, locations, and tomato varieties. The results show that the cumulative PTP required for the number of flowers set, fruit set and fruit growth were 146.59, 146.90 and 252.00 mol·m^-2, respectively. The model demonstrated high accuracy in simulating the number of flowers and fruit set, fruit stalk growth and dry matter of tomato, with root mean square errors ranging from 0.208 to 14.229, normalized root mean square errors from 0.027 to 0.246, and correlation coefficients from 0.905 to 0.999, respectively. Varieties differences affected the accuracy of tomato growth model, and variations in fruit stalk growth among different crops increased after the fruit setting period, but the overall applicability of the model remained strong. This PTP growth model can accurately predict the timing of flowering and fruit set as well as the growth process of the fruit, providing a scientific basis for forecasting the yield and market timing of greenhouse tomatoes.

Key words: simulation, numbers of flowering and fruit setting, dry matter partitioning, dry material accumulation, yield

摘要：

光照和温度对设施番茄生长具有重要影响。为明确光温与番茄生长发育间的量化关系，以设施番茄为试材，构建番茄开花坐果数、果茎生长量、干物质分配与累计辐热积（Photo-thermal Product，PTP）的Logistic生长模型，并用不同茬口、不同地点和品种的番茄对模型进行验证。结果表明，番茄开花、坐果和果实长成所需的累计辐热积分别为146.59、146.90、252.00 mol·m^-2；模型在模拟番茄开花坐果数、果茎生长量和干物质分配方面精度较高，模拟值与实测值的回归标准误差为0.208~14.229，标准均方根误差为0.027~0.246，决定系数为0.905~0.999；番茄品种影响模型精度，坐果期后不同茬口间果茎生长量差异增大，但模型整体适用性强。该辐热积生长模型能准确预测番茄的开花坐果时间及果实生长进程，为设施番茄产量预报和上市时间预测提供科学依据。

关键词: 模拟, 开花坐果数, 干物质分配, 干物质积累, 产量