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

Journal of Integrative Plant Biology 2016年第3期58卷 230-241页

作者： Miguel A.Pieros Brandon G.Larson Jon E.Shaff David J.Schneider Alexandre Xavier Falcao Lixing Yuan Randy T.Clark Eric J.Craft Tyler W.Davis Pierre-Luc Pradier Nathanael M.Shaw ithipong assaranurak Susan R.Mc Couch Craig Sturrock Malcolm Bennett Leon V.Kochian USDA-ARS Robert Holley Center for Agriculture and Health538 Tower RoadIthacaNY 14580USA Department of Information Systems Institute of ComputingUniversity of CampinasAv.Albert Einstein1251CEP 13083-852CampinasSPBrazil Department of Plant Nutrition China Agricultural UniversityBeijing 100193China Department of Plant Breeding and Genetics Cornell UniversityIthacaNY 14853USA Centre for Plant Integrative Biology School of BiosciencesUniversity of NottinghamSutton BoningtonLE12 5RDUK College of Science King Saud UniversityRiyadh 11451Kingdom of Saudi Arabia

A plant＇s ability to maintain or improve its yield under limiting conditions,such as nutrient de ficiency or drought,can be strongly in fluenced 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 modi fications 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 ef ficiency,and a broad array of growing conditions for plants that more closely mimic those found under field conditions.

关键词： Abiotic stress digital root phenotyping mineral nutrition root system architecture

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