Literature DB >> 23451789

Future scenarios for plant phenotyping.

Fabio Fiorani1, Ulrich Schurr.   

Abstract

With increasing demand to support and accelerate progress in breeding for novel traits, the plant research community faces the need to accurately measure increasingly large numbers of plants and plant parameters. The goal is to provide quantitative analyses of plant structure and function relevant for traits that help plants better adapt to low-input agriculture and resource-limited environments. We provide an overview of the inherently multidisciplinary research in plant phenotyping, focusing on traits that will assist in selecting genotypes with increased resource use efficiency. We highlight opportunities and challenges for integrating noninvasive or minimally invasive technologies into screening protocols to characterize plant responses to environmental challenges for both controlled and field experimentation. Although technology evolves rapidly, parallel efforts are still required because large-scale phenotyping demands accurate reporting of at least a minimum set of information concerning experimental protocols, data management schemas, and integration with modeling. The journey toward systematic plant phenotyping has only just begun.

Mesh:

Year:  2013        PMID: 23451789     DOI: 10.1146/annurev-arplant-050312-120137

Source DB:  PubMed          Journal:  Annu Rev Plant Biol        ISSN: 1543-5008            Impact factor:   26.379


  197 in total

1.  Relationships between root diameter, root length and root branching along lateral roots in adult, field-grown maize.

Authors:  Qian Wu; Loïc Pagès; Jie Wu
Journal:  Ann Bot       Date:  2016-01-07       Impact factor: 4.357

2.  Genome-Wide Analysis of Yield in Europe: Allelic Effects Vary with Drought and Heat Scenarios.

Authors:  Emilie J Millet; Claude Welcker; Willem Kruijer; Sandra Negro; Aude Coupel-Ledru; Stéphane D Nicolas; Jacques Laborde; Cyril Bauland; Sebastien Praud; Nicolas Ranc; Thomas Presterl; Roberto Tuberosa; Zoltan Bedo; Xavier Draye; Björn Usadel; Alain Charcosset; Fred Van Eeuwijk; François Tardieu
Journal:  Plant Physiol       Date:  2016-07-19       Impact factor: 8.340

3.  Integrated Analysis Platform: An Open-Source Information System for High-Throughput Plant Phenotyping.

Authors:  Christian Klukas; Dijun Chen; Jean-Michel Pape
Journal:  Plant Physiol       Date:  2014-04-23       Impact factor: 8.340

4.  An integrated method for quantifying root architecture of field-grown maize.

Authors:  Jie Wu; Yan Guo
Journal:  Ann Bot       Date:  2014-09       Impact factor: 4.357

5.  In vivo diagnostics of early abiotic plant stress response via Raman spectroscopy.

Authors:  Narangerel Altangerel; Gombojav O Ariunbold; Connor Gorman; Masfer H Alkahtani; Eli J Borrego; Dwight Bohlmeyer; Philip Hemmer; Michael V Kolomiets; Joshua S Yuan; Marlan O Scully
Journal:  Proc Natl Acad Sci U S A       Date:  2017-03-13       Impact factor: 11.205

6.  3D Sorghum Reconstructions from Depth Images Identify QTL Regulating Shoot Architecture.

Authors:  Ryan F McCormick; Sandra K Truong; John E Mullet
Journal:  Plant Physiol       Date:  2016-08-15       Impact factor: 8.340

Review 7.  A systematic analysis of apple root resistance traits to Pythium ultimum infection and the underpinned molecular regulations of defense activation.

Authors:  Yanmin Zhu; Melody Saltzgiver
Journal:  Hortic Res       Date:  2020-05-01       Impact factor: 6.793

8.  Quantitative, Image-Based Phenotyping Methods Provide Insight into Spatial and Temporal Dimensions of Plant Disease.

Authors:  Andrew M Mutka; Sarah J Fentress; Joel W Sher; Jeffrey C Berry; Chelsea Pretz; Dmitri A Nusinow; Rebecca Bart
Journal:  Plant Physiol       Date:  2016-07-21       Impact factor: 8.340

9.  A Journey Through a Leaf: Phenomics Analysis of Leaf Growth in Arabidopsis thaliana.

Authors:  Hannes Vanhaeren; Nathalie Gonzalez; Dirk Inzé
Journal:  Arabidopsis Book       Date:  2015-07-22

10.  Characterization of Botrytis-plant interactions using PathTrack© -an automated system for dynamic analysis of disease development.

Authors:  Elad Eizner; Mordechi Ronen; Yonatan Gur; Assaf Gavish; Wenjun Zhu; Amir Sharon
Journal:  Mol Plant Pathol       Date:  2016-07-28       Impact factor: 5.663

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