We investigated dry matter (DM) and fruit production of tomato plants, the effects of CO₂ levels on DM production, and light-use efficiency (LUE) in a tomato production system based on short-term, low-truss crop management during six consecutive periods over one year in a commercial greenhouse. The CO₂ concentration, total dry matter production (TDM), and LUE differed significantly among the periods. Since LUE was significantly correlated with the mean daytime CO₂ concentration, we modeled LUE empirically from that. We developed a model to predict LUE and DM production of tomato plants and validated the model using data from the six periods. We accurately predicted LUE and TDM within a range of ca. 400 to 650 µmol·mol⁻¹ daytime CO₂ concentration. However, when daytime CO₂ concentration was beyond this range, or when a management failure such as inadequate irrigation occurred, predicted values differed significantly from observed values.

我们研究了基于短期，低桁架作物管理的六个时期的番茄生产系统的干物质（DM）和水果生产，CO ₂水平对DM生产的影响以及光利用效率（LUE）。在商业温室中连续一年以上。在不同时期之间，CO ₂浓度，总干物质产量（TDM）和LUE差异显着。由于LUE与日间平均CO ₂浓度显着相关，因此我们从经验上对LUE进行了建模。我们开发了一个模型来预测LUE和DM生产番茄植物，并使用六个时期的数据验证了该模型。我们在ca范围内准确预测了LUE和TDM。白天的CO ₂浓度为400至650 µmol·mol ^-1。但是，当白天的CO ₂浓度超出此范围时，或发生管理失误（如灌溉不充分）时，预测值与观察值会有很大差异。