JOURNAL ARTICLE

Advances in Root System Architecture: Functionality, Plasticity, and Research Methods.

  • Published In: Journal of Resources & Ecology, 2023, v. 14, n. 1. P. 15 1 of 3

  • Database: The Belt and Road Initiative Reference Source 2 of 3

  • Authored By: Zhiyong, Zhang; Baomin, Fan; Chao, Song; Xiaoxian, Zhang; Qingwen, Zhao; Bing, Ye 3 of 3

Abstract

Root system architecture (RSA) refers to the spatial distribution and extended morphology of plant root systems in soil. RSA not only determines the ability of plants to obtain water and nutrients but also affects other ecological functions. Hence, it plays a dominant role in the overall health of plants. The study of RSA can provide insight into plant absorption of water and fertilizers, the relationship between above- and belowground plant parts, and the physiological health and ecological functions of plants. Therefore, this paper summarizes research on the morphology, functionality, plasticity and research methods of RSA. We first review the basic structure, physiology, and ecological functions of root systems. Then the soil factors that shape RSA—including soil moisture, nutrients, temperature, aeration, and others—are summarized. After that, research methods for studying RSA are described in detail, including harvesting, two-dimensional morphological observation, and three-dimensional image reconstruction. Finally, future research developments and innovations are discussed to provide a theoretical basis for further investigations in this field. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Journal of Resources & Ecology. 2023/01, Vol. 14, Issue 1, p15
  • Document Type:Article
  • Subject Area:Anatomy and Physiology
  • Publication Date:2023
  • ISSN:1674-764X
  • DOI:10.5814/j.issn.1674-764x.2023.01.002
  • Accession Number:160734459
  • Copyright Statement:Copyright of Journal of Resources & Ecology is the property of Journal of Resources & Ecology and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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