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根系结构的多样性能否解释植物水分利用效率?一项建模研究。

Can diversity in root architecture explain plant water use efficiency? A modeling study.

作者信息

Tron Stefania, Bodner Gernot, Laio Francesco, Ridolfi Luca, Leitner Daniel

机构信息

Computational Science Center, University of Vienna, Vienna, Austria.

Department of Crop Sciences, Division of Agronomy, University of Natural Resources and Life Sciences, Tulln, Austria.

出版信息

Ecol Modell. 2015 Sep 24;312:200-210. doi: 10.1016/j.ecolmodel.2015.05.028.

Abstract

Drought stress is a dominant constraint to crop production. Breeding crops with adapted root systems for effective uptake of water represents a novel strategy to increase crop drought resistance. Due to complex interaction between root traits and high diversity of hydrological conditions, modeling provides important information for trait based selection. In this work we use a root architecture model combined with a soil-hydrological model to analyze whether there is a root system ideotype of general adaptation to drought or water uptake efficiency of root systems is a function of specific hydrological conditions. This was done by modeling transpiration of 48 root architectures in 16 drought scenarios with distinct soil textures, rainfall distributions, and initial soil moisture availability. We find that the efficiency in water uptake of root architecture is strictly dependent on the hydrological scenario. Even dense and deep root systems are not superior in water uptake under all hydrological scenarios. Our results demonstrate that mere architectural description is insufficient to find root systems of optimum functionality. We find that in environments with sufficient rainfall before the growing season, root depth represents the key trait for the exploration of stored water, especially in fine soils. Root density, instead, especially near the soil surface, becomes the most relevant trait for exploiting soil moisture when plant water supply is mainly provided by rainfall events during the root system development. We therefore concluded that trait based root breeding has to consider root systems with specific adaptation to the hydrology of the target environment.

摘要

干旱胁迫是作物生产的主要限制因素。培育具有适应性根系以有效吸收水分的作物是提高作物抗旱性的一种新策略。由于根系性状与水文条件的高度多样性之间存在复杂的相互作用,建模为基于性状的选择提供了重要信息。在这项工作中,我们使用根系结构模型与土壤水文模型相结合,来分析是否存在普遍适应干旱的根系理想型,或者根系的水分吸收效率是否是特定水文条件的函数。这是通过对16种干旱情景下的48种根系结构的蒸腾作用进行建模来完成的,这些情景具有不同的土壤质地、降雨分布和初始土壤水分状况。我们发现根系结构的水分吸收效率严格依赖于水文情景。即使是密集和深的根系在所有水文情景下的水分吸收也不占优势。我们的结果表明,仅仅进行结构描述不足以找到具有最佳功能的根系。我们发现,在生长季节前降雨充足的环境中,根深度是探索储存水分的关键性状,尤其是在质地细的土壤中。相反,当根系发育期间植物水分供应主要由降雨事件提供时,根系密度,尤其是靠近土壤表面的根系密度,成为利用土壤水分的最相关性状。因此,我们得出结论,基于性状的根系育种必须考虑对目标环境水文具有特定适应性的根系。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/80f8/4567060/a225ffa0ef53/gr1.jpg

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