The mechanisms for the different temperature (T) responses of leaf photosynthetic rate (A) and stomatal conductance (g_s) have not been thoroughly elucidated, and the uncertainties and limitations facing the optimal-stomata models have not been systematically investigated. In the present study, the temperature responses of A, g_s, and mesophyll conductance (g_m) were studied in the selected rice and wheat genotypes, and the C₃ photosynthesis model and three widely used optimal-stomata models were introduced to investigate these two questions. The photosynthetic limiting process varied significantly between rice and wheat plants. The photosynthetic limitation and g_m had strong impacts on the temperature response of λ, the key parameter for the optimal-stomata models. λ was increased with T when photosynthesis was limited by the RuBP carboxylation, while it was decreased with T when it was limited by the RuBP regeneration. Because of the negative correlation between λ and g_s, the differing λ-T relationships may explain the different g_s-T relationships between the selected genotypes. This is the first study using the optimal-stomata models to interpret the differential g_s-T relationships and highlights the importance of estimating g_m and the photosynthetic limitations before applying the optimal-stomata models.

叶片光合速率（A）和气孔导度（g _s）对温度（T）的不同响应的机制尚未完全阐明，并且尚未系统研究最佳气孔模型所面临的不确定性和局限性。在本研究中，研究了选定的水稻和小麦基因型以及C ₃对A，g _s和叶肉电导（g _m）的温度响应。介绍了光合作用模型和三个广泛使用的最佳气孔模型来研究这两个问题。水稻和小麦植物的光合作用限制过程差异很大。光合极限和g _m对最佳气孔模型关键参数λ的温度响应影响很大。λ与增加Ť时光合作用是由羧化RUBP限制，而它与降低Ť当它是由再生RUBP限制。由于λ与g _s之间呈负相关，因此不同的λ - T关系可以解释不同的克_小号- Ť所选基因型之间的关系。这是使用最佳-气孔模型来解释所述第一研究差动克_小号- Ť关系和亮点的估计的重要性克_米施加最佳-气孔模型之前和光合限制。