Literature DB >> 21530367

From lab to field, new approaches to phenotyping root system architecture.

Jinming Zhu1, Paul A Ingram, Philip N Benfey, Tedd Elich.   

Abstract

Plant root system architecture (RSA) is plastic and dynamic, allowing plants to respond to their environment in order to optimize acquisition of important soil resources. A number of RSA traits are known to be correlated with improved crop performance. There is increasing recognition that future gains in productivity, especially under low input conditions, can be achieved through optimization of RSA. However, realization of this goal has been hampered by low resolution and low throughput approaches for characterizing RSA. To overcome these limitations, new methods are being developed to facilitate high throughput and high content RSA phenotyping. Here we summarize laboratory and field approaches for phenotyping RSA, drawing particular attention to recent advances in plant imaging and analysis. Improvements in phenotyping will facilitate the genetic analysis of RSA and aid in the identification of the genetic loci underlying useful agronomic traits.
Copyright © 2011 Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 21530367     DOI: 10.1016/j.pbi.2011.03.020

Source DB:  PubMed          Journal:  Curr Opin Plant Biol        ISSN: 1369-5266            Impact factor:   7.834


  77 in total

Review 1.  Advanced phenotyping offers opportunities for improved breeding of forage and turf species.

Authors:  Achim Walter; Bruno Studer; Roland Kölliker
Journal:  Ann Bot       Date:  2012-02-23       Impact factor: 4.357

2.  Matching roots to their environment.

Authors:  Philip J White; Timothy S George; Peter J Gregory; A Glyn Bengough; Paul D Hallett; Blair M McKenzie
Journal:  Ann Bot       Date:  2013-07       Impact factor: 4.357

3.  A novel Brassica-rhizotron system to unravel the dynamic changes in root system architecture of oilseed rape under phosphorus deficiency.

Authors:  Pan Yuan; Guang-Da Ding; Hong-Mei Cai; Ke-Mo Jin; Martin Roger Broadley; Fang-Sen Xu; Lei Shi
Journal:  Ann Bot       Date:  2016-06-08       Impact factor: 4.357

Review 4.  Phenotypic plasticity of the maize root system in response to heterogeneous nitrogen availability.

Authors:  Peng Yu; Philip J White; Frank Hochholdinger; Chunjian Li
Journal:  Planta       Date:  2014-08-21       Impact factor: 4.116

5.  Image-based high-throughput field phenotyping of crop roots.

Authors:  Alexander Bucksch; James Burridge; Larry M York; Abhiram Das; Eric Nord; Joshua S Weitz; Jonathan P Lynch
Journal:  Plant Physiol       Date:  2014-09-03       Impact factor: 8.340

6.  QTL mapping and phenotypic variation for root architectural traits in maize (Zea mays L.).

Authors:  Amy L Burton; James M Johnson; Jillian M Foerster; Candice N Hirsch; C R Buell; Meredith T Hanlon; Shawn M Kaeppler; Kathleen M Brown; Jonathan P Lynch
Journal:  Theor Appl Genet       Date:  2014-09-18       Impact factor: 5.699

7.  Mapping QTLs for root system architecture of maize (Zea mays L.) in the field at different developmental stages.

Authors:  Hongguang Cai; Fanjun Chen; Guohua Mi; Fusuo Zhang; Hans Peter Maurer; Wenxin Liu; Jochen C Reif; Lixing Yuan
Journal:  Theor Appl Genet       Date:  2012-06-21       Impact factor: 5.699

8.  Root architecture and hydraulic conductance in nutrient deprived Pistacia lentiscus L. seedlings.

Authors:  Roman Trubat; Jordi Cortina; Alberto Vilagrosa
Journal:  Oecologia       Date:  2012-06-21       Impact factor: 3.225

9.  RootScape: a landmark-based system for rapid screening of root architecture in Arabidopsis.

Authors:  Daniela Ristova; Ulises Rosas; Gabriel Krouk; Sandrine Ruffel; Kenneth D Birnbaum; Gloria M Coruzzi
Journal:  Plant Physiol       Date:  2013-01-18       Impact factor: 8.340

10.  X-Ray Computed Tomography Reveals the Response of Root System Architecture to Soil Texture.

Authors:  Eric D Rogers; Daria Monaenkova; Medhavinee Mijar; Apoorva Nori; Daniel I Goldman; Philip N Benfey
Journal:  Plant Physiol       Date:  2016-05-16       Impact factor: 8.340

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