首页> 外文期刊>Horticulture,Environment,and Biotechnology >Modeling the canopy photosynthetic rate of romaine lettuce (Lactuca sativa L.) grown in a plant factory at varying CO2 concentrations and growth stages
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Modeling the canopy photosynthetic rate of romaine lettuce (Lactuca sativa L.) grown in a plant factory at varying CO2 concentrations and growth stages

机译:模拟在不同二氧化碳浓度和生长阶段在植物工厂中生长的长叶莴苣(Lactuca sativa L.)的冠层光合速率

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Photosynthetic models of crops are essential for predicting the optimum CO2 concentrations that should be maintained for crop productivity in closed systems throughout the growth period. The objective of this study was to develop a canopy photosynthetic model of romaine lettuce (Lactuca sativa L., cv. Asia Heuk romaine) incorporating CO2 concentration and plant growth stage. The canopy photosynthetic rates of the plants were measured 4, 7, 14, 21, and 28 days after transplanting using closed acrylic chambers, in which the temperature was maintained at 24A degrees C and a 200 A mu mol center dot m (-2) center dot s(-1) light intensity was provided by an 8:1:1 ratio of RBW light-emitting diodes. The canopy photosynthetic rate of the lettuce was calculated by measuring the reduction in CO2 within the chamber over time, from an initial concentration of 2,000 A mu mol center dot mol (-1). The canopy photosynthetic rate became saturated as the CO2 concentration increased, while it exponentially decreased with the plant growth stage. Among the previously published models available, the Thornley model was suitable for the expression of the canopy photosynthetic rate; however, it had to be adapted to take into account growth stage, resulting in an R-2 of 0.985. The canopy photosynthetic rates estimated by the models showed good agreement with those actually measured (R-2 = 0.939). Based on these results, the established model may be helpful in determining the optimum level of CO2 required for crop production and in calculating the decreasing CO2 requirements throughout the cultivation period.
机译:作物的光合作用模型对于预测整个生育期内封闭系统中作物生产力应维持的最佳CO2浓度至关重要。这项研究的目的是建立结合二氧化碳浓度和植物生长阶段的长叶莴苣(Lactuca sativa L.,cv。Asia Heuk romanine)的冠层光合模型。移植后第4、7、14、21和28天使用密闭的丙烯酸室测量植物的冠层光合速率,其中温度保持在24A摄氏度,中心点m为200 A mol(-2)中心点s(-1)的光强度由RBW发光二极管的比率为8:1:1来提供。莴苣的冠层光合速率是通过测量室内随时间推移而产生的CO2减少量来计算的,初始浓度为2,000 Aμmol中心点mol(-1)。随着CO2浓度的增加,冠层的光合速率达到饱和,但随着植物的生长阶段呈指数下降。在以前可用的模型中,Thornley模型适用于冠层光合速率的表达;但是,必须对其进行调整以考虑到成长阶段,因此R-2为0.985。通过模型估算的冠层光合速率与实际测得的冠层光合速率显示出良好的一致性(R-2 = 0.939)。基于这些结果,建立的模型可能有助于确定作物生产所需的最佳CO2水平,并有助于计算整个种植期间减少的CO2需求。

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