首页> 外文OA文献 >Biochemical acclimation, stomatal limitation and precipitationpatterns underlie decreases in photosynthetic stimulation of soybean(\u3ci\u3eGlycine max\u3c/i\u3e) at elevated [CO\u3csub\u3e2\u3c/sub\u3e] and temperatures under fully open airfield conditions
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Biochemical acclimation, stomatal limitation and precipitationpatterns underlie decreases in photosynthetic stimulation of soybean(\u3ci\u3eGlycine max\u3c/i\u3e) at elevated [CO\u3csub\u3e2\u3c/sub\u3e] and temperatures under fully open airfield conditions

机译:生物化学驯化,气孔限制和降水模式是大豆([u3c]最高温度条件下的光合作用刺激降低的基础和完全开放的空气条件下的温度降低

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摘要

The net effect of elevated [CO2] and temperature on photosynthetic acclimation and plant productivityis poorly resolved. We assessed the effects of canopy warming and fully open air [CO2] enrichment on (1)the acclimation of two biochemical parameters that frequently limit photosynthesis (A), the maximumcarboxylation capacity of Rubisco (Vc,max) and the maximum potential linear electron flux through photo-system II (Jmax), (2) the associated responses of leaf structural and chemical properties related to A, as wellas (3) the stomatal limitation (l) imposed on A, for soybean over two growing seasons in a conventionallymanaged agricultural field in Illinois, USA. Acclimation to elevated [CO2] was consistent over two grow-ing seasons with respect to Vc,maxand Jmax. However, elevated temperature significantly decreased Jmaxcontributing to lower photosynthetic stimulation by elevated CO2. Large seasonal differences in precipi-tation altered soil moisture availability modulating the complex effects of elevated temperature and CO2 on biochemical and structural properties related to A. Elevated temperature also reduced the benefit ofelevated [CO2] by eliminating decreases in stomatal limitation at elevated [CO2]. These results highlightthe critical importance of considering multiple environmental factors (i.e. temperature, moisture, [CO2])when trying to predict plant productivity in the context of climate change.
机译:升高的[CO2]和温度对光合适应和植物生产力的净影响难以解决。我们评估了冠层增温和完全空气[CO2]富集对(1)经常限制光合作用的两个生化参数(A),Rubisco的最大羧化能力(Vc,max)和最大潜在线性电子通量的适应的影响。通过光系统II(Jmax),(2)在常规管理的农业中两个生长季节,大豆在两个生长季节中与A相关的叶片结构和化学特性的相关响应,以及(3)对A施加的气孔限制(l)田在美国伊利诺伊州。在Vc,max和Jmax的两个生长季节中,适应升高的[CO2]是一致的。然而,升高的温度显着降低了Jmax,这归因于升高的CO2对较低的光合作用的刺激。降水的季节性大差异改变了土壤水分的可利用性,从而调节了高温和CO2对与A有关的生化和结构特性的复杂影响。高温还通过消除升高的[CO2]气孔限制而降低了[CO2]的益处。 。这些结果突出了在尝试预测气候变化背景下的植物生产力时考虑多个环境因素(即温度,湿度,[CO2])的至关重要性。

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