首页> 外文期刊>Acta Horticulturae >Quantifying the effects of leaf nitrogen content on leaf photosynthesis rate of greenhouse cucumber under different par and temperature conditions.
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Quantifying the effects of leaf nitrogen content on leaf photosynthesis rate of greenhouse cucumber under different par and temperature conditions.

机译:定量分析不同氮素和温度条件下叶片氮含量对温室黄瓜叶片光合作用速率的影响。

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Leaf nitrogen content is the most commonly used information for crop nitrogen management since it strongly affects leaf photosynthesis rate. Leaf N content, however, is affected by photosynthetically active radiation (PAR) and temperature conditions. This results in that the relationship between the leaf N content and the leaf photosynthesis rate obtained under specific site and season cannot be applied to other sites and seasons. The aim of this study was to develop a model for estimating the effects of leaf N content on leaf photosynthesis rate of greenhouse cucumber under different PAR and temperature conditions through an experimental study. Experiments with 4 N treatments and sowing dates were conducted in greenhouses in Shanghai during 2003 and 2005. Light saturated leaf photosynthesis rate (Pmax) of fully expanded cucumber leaves was measured using the Li-6400 system after the nitrogen treatments started at anthesis. The seasonal time course of the optimal leaf N concentration (Nopt) for photosynthesis was found to be an exponential function of the physiological development time (PDT). The parameters of this function were then related to PAR and temperature conditions using the seasonal average value of the 'product of normalized thermal time and PAR (PTTP)'. The ratio of Pmax at an actual leaf N concentration (N) to that at the optimal leaf N concentration (Nopt) was also found to be an exponential function of the ratio of N/Nopt. Based on these quantitative relationships, a model for estimating leaf photosynthesis rate of greenhouse cucumber using leaf N concentration under different PAR and temperature conditions was developed. Independent experimental data were used to validate the model. The coefficient of determination (R2) and the root mean square error (RMSE) between the estimated and the measured leaf photosynthesis rate based on the 1:1 line are 0.83 and 1.56 micro mol CO2 m-2 s-1, respectively. The model developed in this study gives satisfactory estimation of leaf photosynthesis rate of greenhouse cucumber growing during different seasons. Experimental data from different sites and cultivars are, however, needed to further validate and test the model before applying it to new sites and cultivars.
机译:叶氮含量是作物氮管理最常用的信息,因为它会严重影响叶的光合作用速率。但是,叶片的氮含量受光合有效辐射(PAR)和温度条件的影响。这导致在特定部位和季节下获得的叶片氮含量与叶片光合作用率之间的关系不能应用于其他部位和季节。这项研究的目的是通过实验研究建立一个模型,用于估计不同氮素和温度条件下叶片氮含量对温室黄瓜叶片光合作用速率的影响。在2003年至2005年期间,在上海的温室中进行了4 N处理和播种日期的试验。在花期开始进行氮处理后,使用Li-6400系统测量了完全膨胀的黄瓜叶片的光饱和叶片光合速率(Pmax)。发现用于光合作用的最佳叶片氮浓度(Nopt)的季节性时间过程是生理发育时间(PDT)的指数函数。然后,使用“归一化热时间和PAR(PTTP)的乘积”的季节性平均值,将此函数的参数与PAR和温度条件相关。还发现,在实际叶片氮浓度(N)下与最佳叶片氮浓度(Nopt)下的Pmax的比率是N / Nopt比率的指数函数。基于这些定量关系,建立了利用不同PAR和温度条件下叶片氮含量估算温室黄瓜叶片光合速率的模型。使用独立的实验数据来验证模型。基于1:1线的测定系数(R 2 )和叶片光合作用的估计值与实测值之间的均方根误差(RMSE)为0.83和1.56 micro mol CO 2 m -2 s -1 。本研究开发的模型对不同季节温室黄瓜的叶片光合作用速率进行了令人满意的估算。但是,在将模型应用到新的站点和品种之前,需要来自不同站点和品种的实验数据来进一步验证和测试模型。

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