Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/328133
Type: Artigo
Title: Evolving Technologies For Growing, Imaging And Analyzing 3d Root System Architecture Of Crop Plants
Evolving technologies for growing, imaging and analyzing 3D root system architecture of crop plants
Author: Piñeros, Miguel A.
Larson, Brandon G.
Shaff, Jon E.
Schneider, David J.
Falcão, Alexandre Xavier
Yuan, Lixing
Clark, Randy T.
Craft, Eric J.
Davis, Tyler W.
Pradier, Pierre-Luc
Shaw, Nathanael M.
Assaranurak, Ithipong
M
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.
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.
Subject: Processamento de imagens
Plantas - Nutrição - Aspectos genéticos
Fenótipo
Segmentação de imagens
Reconhecimento de padrões
Interpretação de imagens
Arquitetura de computador
Country: Australia
Editor: Wiley
Citation: Journal Of Integrative Plant Biology. Wiley-blackwell, v. 58, p. 230 - 241, 2016.
Rights: fechado
Fechado
Identifier DOI: 10.1111/jipb.12456
Address: https://onlinelibrary.wiley.com/doi/abs/10.1111/jipb.12456
Date Issue: 2016
Appears in Collections:IC - Artigos e Outros Documentos

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