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Examining Root System Variability in Soybean Using Imaging Technologies
  • +2
  • Sujata Bogati,
  • Joshua Carpenter,
  • Ellen Woods,
  • Jinha Jung,
  • Diane R Wang
Sujata Bogati
Purdue University -Agronomy

Corresponding Author:sbogati@purdue.edu

Author Profile
Joshua Carpenter
Purdue University -Civil Engineering
Ellen Woods
Auburn University
Jinha Jung
Purdue University -Civil Engineering
Diane R Wang
Purdue University -Agronomy

Abstract

Keywords: Root imaging, root-system architecture (RSA), soybean, 2D-phenotyping & 3D-phenotyping
Roots are a major part of plant systems and are essential to obtaining water and nutrients. Despite their importance, roots have not been extensively examined as compared to their aboveground counterparts, due primarily to the difficulties of access and lack of standard methods to quantify root morphology. While there have been several experiments performed under controlled environments, comparatively fewer studies have examined root architectures under field conditions. Here, we apply two imaging techniques to characterize variability in Root System Architecture (RSA) in diverse soybean genotypes under field settings with two contrasting soil conditions. Thus, our objectives are to (1) quantify root system architecture using 2D image techniques (e.g., Winrhizo and Image J) and (2) evaluate a contrasting subset of these samples (n = 30) using a novel 3D phenotyping approach. The research seeks to meet the need for enhanced methods in root system architecture analysis across diverse field conditions potentially leading to more resilient, high-yielding soybean varieties.