J Integr Plant Biol. ›› 2016, Vol. 58 ›› Issue (3): 230-241.DOI: 10.1111/jipb.12456

• Research Articles • Previous Articles     Next Articles

Evolving technologies for growing, imaging and analyzing 3D root system architecture of crop plants

Miguel A. Piñeros1, Brandon G. Larson1, Jon E. Shaff1, David J. Schneider1, Alexandre Xavier Falcão2, Lixing Yuan3, Randy T. Clark1, Eric J. Craft1, Tyler W. Davis1, Pierre-Luc Pradier1, Nathanael M. Shaw1, Ithipong Assaranurak4, Susan R. McCouch4, Craig Sturrock5, Malcolm Bennett5,6 and Leon V. Kochian1*   

  1. 1USDA-ARS, Robert Holley Center for Agriculture and Health, Ithaca, NY 14580, USA
    2Department of Information Systems, Institute of Computing, University of Campinas, Campinas, SP, Brazil
    3Department of Plant Nutrition, China Agricultural University, Beijing 100193, China
    4Department of Plant Breeding and Genetics, Cornell University, Ithaca, NY 14853, USA
    5Centre for Plant Integrative Biology, School of Biosciences, University of Nottingham, Sutton Bonington, LE12 5RD, UK
    6College of Science, King Saud University, Riyadh 11451, Kingdom of Saudi Arabia
  • Received:2015-10-19 Accepted:2015-12-16 Published:2016-03-18
  • About author:*Correspondence: E-mail: lvk1@cornell.edu

Abstract:

A plant's ability to maintain or improve its yield under limiting conditions, such as nutrient deficiency or drought, can be strongly influenced by root system architecture (RSA), the three-dimensional distribution of the different root types in the soil. The ability to image, track and quantify these root system attributes in a dynamic fashion is a useful tool in assessing desirable genetic and physiological root traits. Recent advances in imaging technology and phenotyping software have resulted in substantive progress in describing and quantifying RSA. We have designed a hydroponic growth system which retains the three-dimensional RSA of the plant root system, while allowing for aeration, solution replenishment and the imposition of nutrient treatments, as well as high-quality imaging of the root system. The simplicity and flexibility of the system allows for modifications tailored to the RSA of different crop species and improved throughput. This paper details the recent improvements and innovations in our root growth and imaging system which allows for greater image sensitivity (detection of fine roots and other root details), higher efficiency, and a broad array of growing conditions for plants that more closely mimic those found under field conditions.

Key words: Abiotic stress, digital root phenotyping, mineral nutrition, root system architecture

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