Literature DB >> 32480955

Non-invasive approaches for phenotyping of enhanced performance traits in bean.

Uwe Rascher, Stephan Blossfeld, Fabio Fiorani, Siegfried Jahnke, Marcus Jansen, Arnd J Kuhn, Shizue Matsubara, Lea L A M Rtin, Andrew Merchant, Ralf Metzner, Mark M Ller-Linow, Kerstin A Nagel, Roland Pieruschka, Francisco Pinto, Christina M Schreiber, Vicky M Temperton, Michael R Thorpe, Dagmar Van Dusschoten, Elizabeth Van Volkenburgh, Carel W Windt, Ulrich Schurr.   

Abstract

Plant phenotyping is an emerging discipline in plant biology. Quantitative measurements of functional and structural traits help to better understand gene-environment interactions and support breeding for improved resource use efficiency of important crops such as bean (Phaseolus vulgaris L.). Here we provide an overview of state-of-the-art phenotyping approaches addressing three aspects of resource use efficiency in plants: belowground roots, aboveground shoots and transport/allocation processes. We demonstrate the capacity of high-precision methods to measure plant function or structural traits non-invasively, stating examples wherever possible. Ideally, high-precision methods are complemented by fast and high-throughput technologies. High-throughput phenotyping can be applied in the laboratory using automated data acquisition, as well as in the field, where imaging spectroscopy opens a new path to understand plant function non-invasively. For example, we demonstrate how magnetic resonance imaging (MRI) can resolve root structure and separate root systems under resource competition, how automated fluorescence imaging (PAM fluorometry) in combination with automated shape detection allows for high-throughput screening of photosynthetic traits and how imaging spectrometers can be used to quantify pigment concentration, sun-induced fluorescence and potentially photosynthetic quantum yield. We propose that these phenotyping techniques, combined with mechanistic knowledge on plant structure-function relationships, will open new research directions in whole-plant ecophysiology and may assist breeding for varieties with enhanced resource use efficiency varieties.

Entities:  

Year:  2011        PMID: 32480955     DOI: 10.1071/FP11164

Source DB:  PubMed          Journal:  Funct Plant Biol        ISSN: 1445-4416            Impact factor:   3.101


  6 in total

1.  3D characterization of walnut morphological traits using X-ray computed tomography.

Authors:  Anthony Bernard; Sherif Hamdy; Laurence Le Corre; Elisabeth Dirlewanger; Fabrice Lheureux
Journal:  Plant Methods       Date:  2020-08-26       Impact factor: 4.993

2.  Exploitation of Plant Growth Promoting Bacteria for Sustainable Agriculture: Hierarchical Approach to Link Laboratory and Field Experiments.

Authors:  Federica Massa; Roberto Defez; Carmen Bianco
Journal:  Microorganisms       Date:  2022-04-21

Review 3.  Active and Passive Electro-Optical Sensors for Health Assessment in Food Crops.

Authors:  Thomas Fahey; Hai Pham; Alessandro Gardi; Roberto Sabatini; Dario Stefanelli; Ian Goodwin; David William Lamb
Journal:  Sensors (Basel)       Date:  2020-12-29       Impact factor: 3.576

4.  Gloxinia-An Open-Source Sensing Platform to Monitor the Dynamic Responses of Plants.

Authors:  Olivier Pieters; Tom De Swaef; Peter Lootens; Michiel Stock; Isabel Roldán-Ruiz; Francis Wyffels
Journal:  Sensors (Basel)       Date:  2020-05-28       Impact factor: 3.576

Review 5.  Genetics and genomics of root system variation in adaptation to drought stress in cereal crops.

Authors:  Md Nurealam Siddiqui; Jens Léon; Ali A Naz; Agim Ballvora
Journal:  J Exp Bot       Date:  2021-02-24       Impact factor: 6.992

6.  In situ pod growth rate reveals contrasting diurnal sensitivity to water deficit in Phaseolus vulgaris.

Authors:  Andrew Merchant; Millicent R Smith; Carel W Windt
Journal:  J Exp Bot       Date:  2022-06-02       Impact factor: 7.298

  6 in total

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