X-Ray Computed Tomography Reveals the Response of Root System Architecture to Soil Texture
X-Ray Computed Tomography Reveals the Response of Root System Architecture to Soil Texture
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DOI：
10.1104/pp.16.00397
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发表时间：
2016-07-01
期刊：
影响因子：
7.4
通讯作者：
Benfey, Philip N.
中科院分区：
文献类型：
--
作者：
Rogers, Eric D.;Monaenkova, Daria;Benfey, Philip N.
根系构型（RSA）通过促进有效的养分和水分从土壤中的吸收影响植物的健康和作物产量。更好地了解土壤对RSA的影响，可以通过使根系与土壤环境相匹配来提高作物产量。我们使用X射线计算机断层扫描对水稻RSA响应颗粒基质物理性质的变化进行了详细的三维量化。我们的特点是8个水稻品种在5种不同的生长基质和RSA确定RSA是基因型和生长环境之间的相互作用的结果。我们确定了特定品种的变化，在RSA中响应于不断变化的生长基质质地。Azucena品种在所有生长基质中表现出低RSA可塑性，而巴拉品种根深是土壤硬度的函数。我们的成像技术提供了一个框架，研究RSA在不同的生长环境中，其结果可以用来改善根系性状的农艺潜力。
Root system architecture (RSA) impacts plant fitness and crop yield by facilitating efficient nutrient and water uptake from the soil. A better understanding of the effects of soil on RSA could improve crop productivity by matching roots to their soil environment. We used x-ray computed tomography to perform a detailed three-dimensional quantification of changes in rice (Oryza sativa) RSA in response to the physical properties of a granular substrate. We characterized the RSA of eight rice cultivars in five different growth substrates and determined that RSA is the result of interactions between genotype and growth environment. We identified cultivar-specific changes in RSA in response to changing growth substrate texture. The cultivar Azucena exhibited low RSA plasticity in all growth substrates, whereas cultivar Bala root depth was a function of soil hardness. Our imaging techniques provide a framework to study RSA in different growth environments, the results of which can be used to improve root traits with agronomic potential.