Weituo Sun , Anne Coules , Chunjiang Zhao , Chungui Lu
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The humidity effects are incorporated by describing stomatal resistance and specific leaf area of new leaves. The model was first calibrated at both sub-model and model levels and then validated against data collected in three experiments, covering a broad range of greenhouse climates. Results demonstrated that the model performance was good and acceptable; the simulated crop dry weights closely mirrored the measured values, with the RRMSE of 10.5–24.9% and the RMSE of 0.0070–0.0131 kg m<sup>−2</sup>. The model predicted the leaf area index with an RRMSE of 12.1–54.7% and performed well for the vegetative growth stage concerned by commercial production. The photosynthesis inhibition time accounted for 27–41% of the total photosynthesis time, indicating that the model framework and underlying hypothesis worked in simulations. 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Results demonstrated that the model performance was good and acceptable; the simulated crop dry weights closely mirrored the measured values, with the RRMSE of 10.5–24.9% and the RMSE of 0.0070–0.0131 kg m<sup>−2</sup>. The model predicted the leaf area index with an RRMSE of 12.1–54.7% and performed well for the vegetative growth stage concerned by commercial production. The photosynthesis inhibition time accounted for 27–41% of the total photosynthesis time, indicating that the model framework and underlying hypothesis worked in simulations. 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引用次数: 0
摘要
作物模型是温室气候优化管理的基础,而目前对生菜生长的模拟还不完整。本研究提出了一个生菜生长模型,该模型描述了广泛的温室气候的影响,包括极端条件下的气温、湿度、二氧化碳浓度和短波辐射对单状态变量结构作物干重的动态影响。提出的模型框架执行两组平行的质量流:干物质积累和缓冲演变。缓冲碳水化合物流向生长转化基于温度依赖的汇强度。当碳水化合物储量接近缓冲容量时,树冠同化发生抑制。通过描述气孔阻力和新叶比叶面积,结合湿度效应。该模型首先在子模型和模型水平上进行校准,然后根据三个实验收集的数据进行验证,这些实验涵盖了大范围的温室气候。结果表明,该模型性能良好,可接受;模拟作物干重与实测值基本吻合,RMSE为10.5 ~ 24.9%,RMSE为0.0070 ~ 0.0131 kg m−2。该模型预测的叶面积指数的RRMSE为12.1 ~ 54.7%,对商品生产所关注的营养生长期具有较好的预测效果。光合作用抑制时间占总光合作用时间的27-41%,表明模型框架和基本假设在模拟中是有效的。开发的模型可以模拟潜在情况下生菜的瞬时动态,可以应用于低技术温室,并实现对所有四种气候因素的最佳控制。
A lettuce growth model responding to a broad range of greenhouse climates
Crop models serve as a basis for optimal management of greenhouse climate, while the current simulations for lettuce growth are incomplete. This study presents a lettuce growth model that describes the effects of a broad range of greenhouse climates, including air temperature with extreme conditions, humidity, CO2 concentration, and shortwave radiation on dynamics of the single state variable, structural crop dry weight. The proposed model framework performs two parallel sets of mass flows: dry matter accumulation and buffer evolution. The buffer carbohydrates flow to growth conversion based on the temperature-dependent sink strength. The inhibition of canopy assimilation occurs when the carbohydrate storage approaches the buffer capacity. The humidity effects are incorporated by describing stomatal resistance and specific leaf area of new leaves. The model was first calibrated at both sub-model and model levels and then validated against data collected in three experiments, covering a broad range of greenhouse climates. Results demonstrated that the model performance was good and acceptable; the simulated crop dry weights closely mirrored the measured values, with the RRMSE of 10.5–24.9% and the RMSE of 0.0070–0.0131 kg m−2. The model predicted the leaf area index with an RRMSE of 12.1–54.7% and performed well for the vegetative growth stage concerned by commercial production. The photosynthesis inhibition time accounted for 27–41% of the total photosynthesis time, indicating that the model framework and underlying hypothesis worked in simulations. The developed model, simulating instantaneous lettuce dynamics for the potential situation, can be applied to low-tech greenhouses and enables optimal control of all four climate factors.
期刊介绍:
Biosystems Engineering publishes research in engineering and the physical sciences that represent advances in understanding or modelling of the performance of biological systems for sustainable developments in land use and the environment, agriculture and amenity, bioproduction processes and the food chain. The subject matter of the journal reflects the wide range and interdisciplinary nature of research in engineering for biological systems.