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A new model for optimizing the water acquisition of root hydraulic architectures over full crop cycles

机译:一种用于在整个作物周期内优化根系水力结构的取水量的新模型

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Drought stress is one of the most significant environmental stress in agriculture worldwide and is even expected to become more and more severe in many regions of the globe. In this context, the concept of ideotypes (plant with ideal traits that is expected to yield a greater quantity or quality of product when developed as a cultivar) opens new avenues for breeding as shown by the results of plant model simulations. However currently root system ideotypes lack quantitative traits and moreover cannot perform optimally in every single environment. We present here a physically-based model of the water flow in the soil-plant-atmosphere continuum working at the plant scale capable of efficiently simulating the root water uptake of growing crops over full crop cycles as well as other environmental flow (rain, irrigation, evapotranspiration). It is adapted to discriminate genotypes/ideotypes performance in any environment. In a simulation study we analyze the ability of maize root cultivars to maintain their transpiration under two management practices in two different environments.
机译:干旱压力是全世界农业中最严重的环境压力之一,甚至在全球许多地区甚至都将变得越来越严重。在这种情况下,表型的概念(具有理想性状的植物作为品种培育后有望产生更大数量或更高质量的产品)为植物育种开辟了新途径,如植物模型模拟结果所示。但是,当前的根系统表型缺乏定量特征,而且不能在每个单独的环境中发挥最佳性能。我们在这里提出了一种基于物理的土壤-植物-大气连续水流模型,该模型以植物规模工作,能够有效模拟整个作物周期以及其他环境流量(雨水,灌溉水)下生长作物的根系水分吸收,蒸散)。它适用于区分任何环境中的基因型/意识型表现。在模拟研究中,我们分析了在两种不同环境下的两种管理实践下,玉米根系品种保持蒸腾作用的能力。

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