Optimal crop canopy architecture to maximise canopy photosynthetic CO2 uptake under elevated CO2 - a theoretical study using a mechanistic model of canopy photosynthesis

Optimal crop canopy architecture to maximise canopy photosynthetic CO2 uptake under elevated CO2 - a theoretical study using a mechanistic model of canopy photosynthesis
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DOI:
10.1071/fp12056
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发表时间:
2013-01-01
影响因子:
3
通讯作者:
Zhu, Xin-Guang
Zhu, Xin-Guang
中科院分区:
生物学4区
文献类型:
--
作者:
Song, Qingfeng;Zhang, Guilian;Zhu, Xin-Guang

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冠层结构一直是作物育种提高产量的主要目标。在大气CO2浓度(C-a)升高的情况下,当前优良作物品种的作物结构是否可以被修改以增加冠层CO2吸收速率(A(c))目前是未知的。为了研究这个问题,我们开发了一个新的冠层光合作用模型,它包括三个组成部分:(i)冠层结构模型;(ii)前向光线跟踪算法;(iii)C-3光合作用的稳态生物化学模型。利用这个模型,我们证明了从“平均”冠层光条件估计的A(c)比冠层中单个点的光条件估计的A(c)高25%。并从理论上分析了当前和未来C-a条件下水稻冠层构型对A(c)的影响。模拟结果表明,为了获得最佳的A(c)为供试水稻品种,茎高,叶宽和叶角度可以被操纵,以提高冠层光合作用。该模型提供了一个框架,设计理想的作物结构,以获得最佳的A(c)在未来不断变化的气候条件下。冠层光合作用建模和冠层光合作用测量之间的密切联系,需要充分认识到这种建模方法在指导作物改良的潜力。
Canopy architecture has been a major target in crop breeding for improved yields. Whether crop architectures in current elite crop cultivars can be modified for increased canopy CO2 uptake rate (A(c)) under elevated atmospheric CO2 concentrations (C-a) is currently unknown. To study this question, we developed a new model of canopy photosynthesis, which includes three components: (i) a canopy architectural model; (ii) a forward ray tracing algorithm; and (iii) a steady-state biochemical model of C-3 photosynthesis. With this model, we demonstrated that the A(c) estimated from 'average' canopy light conditions is similar to 25% higher than that from light conditions at individual points in the canopy. We also evaluated theoretically the influence of canopy architectural on A(c) under current and future C-a in rice. Simulation results suggest that to gain an optimal A(c) for the examined rice cultivar, the stem height, leaf width and leaf angles can be manipulated to enhance canopy photosynthesis. This model provides a framework for designing ideal crop architectures to gain optimal A(c) under future changing climate conditions. A close linkage between canopy photosynthesis modelling and canopy photosynthesis measurements is required to fully realise the potential of such modelling approaches in guiding crop improvements.