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

机译:优化完整作物周期水力架构水采集的新模型

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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:干旱压力是全球农业最重要的环境压力之一,甚至预期在全球许多地区变得越来越严重。在这种情况下,IDETYPES的概念(具有理想特征的植物,预期在作为品种开发时产生更大数量或产品质量的植物),如植物模型模拟结果所示,为繁殖进行了新的途径。然而,目前根系统缺乏定量特征,而且在每个环境中都不能最佳地进行。我们在这里展示了一种物理基础的水流模型,在土壤 - 植物气氛中的水流在植物规模上工作,能够有效地模拟全部作物周期和其他环境流量的生长作物的根水摄取(雨,灌溉,蒸散蒸腾)。它适于区分任何环境中的基因型/识别型性能。在一个模拟研究中,我们分析了玉米根品种在两个不同环境中在两种管理实践中保持蒸腾的能力。

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