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通过成像和图像分析量化根系与根际相互作用所面临的挑战与机遇。

Challenges and opportunities for quantifying roots and rhizosphere interactions through imaging and image analysis.

作者信息

Downie H F, Adu M O, Schmidt S, Otten W, Dupuy L X, White P J, Valentine T A

机构信息

The SIMBIOS Centre, Abertay University, Dundee, DD1 1HG, UK.

Ecological Sciences, The James Hutton Institute, Dundee, DD2 5DA, UK.

出版信息

Plant Cell Environ. 2015 Jul;38(7):1213-32. doi: 10.1111/pce.12448. Epub 2014 Nov 17.

Abstract

The morphology of roots and root systems influences the efficiency by which plants acquire nutrients and water, anchor themselves and provide stability to the surrounding soil. Plant genotype and the biotic and abiotic environment significantly influence root morphology, growth and ultimately crop yield. The challenge for researchers interested in phenotyping root systems is, therefore, not just to measure roots and link their phenotype to the plant genotype, but also to understand how the growth of roots is influenced by their environment. This review discusses progress in quantifying root system parameters (e.g. in terms of size, shape and dynamics) using imaging and image analysis technologies and also discusses their potential for providing a better understanding of root:soil interactions. Significant progress has been made in image acquisition techniques, however trade-offs exist between sample throughput, sample size, image resolution and information gained. All of these factors impact on downstream image analysis processes. While there have been significant advances in computation power, limitations still exist in statistical processes involved in image analysis. Utilizing and combining different imaging systems, integrating measurements and image analysis where possible, and amalgamating data will allow researchers to gain a better understanding of root:soil interactions.

摘要

根系的形态影响着植物获取养分和水分、固定自身以及为周围土壤提供稳定性的效率。植物基因型以及生物和非生物环境显著影响根系形态、生长以及最终的作物产量。因此,对于有兴趣对根系进行表型分析的研究人员来说,挑战不仅在于测量根系并将其表型与植物基因型联系起来,还在于了解根系生长如何受到其环境的影响。本综述讨论了使用成像和图像分析技术量化根系参数(如大小、形状和动态方面)的进展,并讨论了它们在更好地理解根土相互作用方面的潜力。图像采集技术已取得重大进展,然而在样本通量、样本大小、图像分辨率和所获得的信息之间存在权衡。所有这些因素都会影响下游的图像分析过程。虽然计算能力有了显著进步,但图像分析所涉及的统计过程仍存在局限性。利用和组合不同的成像系统,尽可能整合测量和图像分析,并合并数据,将使研究人员能够更好地理解根土相互作用。

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