Literature DB >> 22362662

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

Achim Walter1, Bruno Studer, Roland Kölliker.   

Abstract

BACKGROUND AND AIMS: Advanced phenotyping, i.e. the application of automated, high-throughput methods to characterize plant architecture and performance, has the potential to accelerate breeding progress but is far from being routinely used in current breeding approaches. In forage and turf improvement programmes, in particular, where breeding populations and cultivars are characterized by high genetic diversity and substantial genotype × environment interactions, precise and efficient phenotyping is essential to meet future challenges imposed by climate change, growing demand and declining resources. SCOPE: This review highlights recent achievements in the establishment of phenotyping tools and platforms. Some of these tools have originally been established in remote sensing, some in precision agriculture, while others are laboratory-based imaging procedures. They quantify plant colour, spectral reflection, chlorophyll-fluorescence, temperature and other properties, from which traits such as biomass, architecture, photosynthetic efficiency, stomatal aperture or stress resistance can be derived. Applications of these methods in the context of forage and turf breeding are discussed.
CONCLUSIONS: Progress in cutting-edge molecular breeding tools is beginning to be matched by progress in automated non-destructive imaging methods. Joint application of precise phenotyping machinery and molecular tools in optimized breeding schemes will improve forage and turf breeding in the near future and will thereby contribute to amended performance of managed grassland agroecosystems.

Entities:  

Mesh:

Year:  2012        PMID: 22362662      PMCID: PMC3478040          DOI: 10.1093/aob/mcs026

Source DB:  PubMed          Journal:  Ann Bot        ISSN: 0305-7364            Impact factor:   4.357


  29 in total

1.  Advancing fine root research with minirhizotrons.

Authors:  M G. Johnson; D T. Tingey; D L. Phillips; M J. Storm
Journal:  Environ Exp Bot       Date:  2001-06       Impact factor: 5.545

2.  A portable Halbach magnet that can be opened and closed without force: the NMR-CUFF.

Authors:  Carel W Windt; Helmut Soltner; Dagmar van Dusschoten; Peter Blümler
Journal:  J Magn Reson       Date:  2010-10-30       Impact factor: 2.229

Review 3.  New phenotyping methods for screening wheat and barley for beneficial responses to water deficit.

Authors:  Rana Munns; Richard A James; Xavier R R Sirault; Robert T Furbank; Hamlyn G Jones
Journal:  J Exp Bot       Date:  2010-07-06       Impact factor: 6.992

Review 4.  Scientific and technical challenges in remote sensing of plant canopy reflectance and fluorescence.

Authors:  Zbynek Malenovský; Kumud Bandhu Mishra; Frantisek Zemek; Uwe Rascher; Ladislav Nedbal
Journal:  J Exp Bot       Date:  2009-05-22       Impact factor: 6.992

5.  The X-factor: visualizing undisturbed root architecture in soils using X-ray computed tomography.

Authors:  Saoirse R Tracy; Jeremy A Roberts; Colin R Black; Ann McNeill; Rob Davidson; Sacha J Mooney
Journal:  J Exp Bot       Date:  2010-01-04       Impact factor: 6.992

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

Authors:  Jinming Zhu; Paul A Ingram; Philip N Benfey; Tedd Elich
Journal:  Curr Opin Plant Biol       Date:  2011-04-27       Impact factor: 7.834

7.  Dynamics of seedling growth acclimation towards altered light conditions can be quantified via GROWSCREEN: a setup and procedure designed for rapid optical phenotyping of different plant species.

Authors:  Achim Walter; Hanno Scharr; Frank Gilmer; Rainer Zierer; Kerstin A Nagel; Michaela Ernst; Anika Wiese; Olivia Virnich; Maja M Christ; Beate Uhlig; Sybille Jünger; Uli Schurr
Journal:  New Phytol       Date:  2007       Impact factor: 10.151

8.  Combined MRI-PET dissects dynamic changes in plant structures and functions.

Authors:  Siegfried Jahnke; Marion I Menzel; Dagmar van Dusschoten; Gerhard W Roeb; Jonas Bühler; Senay Minwuyelet; Peter Blümler; Vicky M Temperton; Thomas Hombach; Matthias Streun; Simone Beer; Maryam Khodaverdi; Karl Ziemons; Heinz H Coenen; Ulrich Schurr
Journal:  Plant J       Date:  2009-04-06       Impact factor: 6.417

Review 9.  Fructan and its relationship to abiotic stress tolerance in plants.

Authors:  David P Livingston; Dirk K Hincha; Arnd G Heyer
Journal:  Cell Mol Life Sci       Date:  2009-03-17       Impact factor: 9.261

10.  A rapid, non-invasive procedure for quantitative assessment of drought survival using chlorophyll fluorescence.

Authors:  Nick S Woo; Murray R Badger; Barry J Pogson
Journal:  Plant Methods       Date:  2008-11-11       Impact factor: 4.993

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  23 in total

1.  Can genomics boost productivity of orphan crops?

Authors:  Rajeev K Varshney; Jean-Marcel Ribaut; Edward S Buckler; Roberto Tuberosa; J Antoni Rafalski; Peter Langridge
Journal:  Nat Biotechnol       Date:  2012-12       Impact factor: 54.908

2.  Breeding strategies for forage and grass improvement.

Authors:  Susanne Barth
Journal:  Ann Bot       Date:  2012-11       Impact factor: 4.357

3.  Phenotyping carrot (Daucus carota L.) for yield-determining temperature response by calorespirometry.

Authors:  Amaia Nogales; Luz Muñoz-Sanhueza; Lee D Hansen; Birgit Arnholdt-Schmitt
Journal:  Planta       Date:  2014-11-08       Impact factor: 4.116

Review 4.  Prospects for Trifolium Improvement Through Germplasm Characterisation and Pre-breeding in New Zealand and Beyond.

Authors:  Lucy M Egan; Rainer W Hofmann; Kioumars Ghamkhar; Valerio Hoyos-Villegas
Journal:  Front Plant Sci       Date:  2021-06-16       Impact factor: 5.753

5.  Automated phenotyping of plant shoots using imaging methods for analysis of plant stress responses - a review.

Authors:  Jan F Humplík; Dušan Lazár; Alexandra Husičková; Lukáš Spíchal
Journal:  Plant Methods       Date:  2015-04-17       Impact factor: 4.993

6.  Daily changes in temperature, not the circadian clock, regulate growth rate in Brachypodium distachyon.

Authors:  Dominick A Matos; Benjamin J Cole; Ian P Whitney; Kirk J-M MacKinnon; Steve A Kay; Samuel P Hazen
Journal:  PLoS One       Date:  2014-06-13       Impact factor: 3.240

Review 7.  A review of imaging techniques for plant phenotyping.

Authors:  Lei Li; Qin Zhang; Danfeng Huang
Journal:  Sensors (Basel)       Date:  2014-10-24       Impact factor: 3.576

8.  Field-omics-understanding large-scale molecular data from field crops.

Authors:  Erik Alexandersson; Dan Jacobson; Melané A Vivier; Wolfram Weckwerth; Erik Andreasson
Journal:  Front Plant Sci       Date:  2014-06-20       Impact factor: 5.753

9.  Rapid determination of leaf area and plant height by using light curtain arrays in four species with contrasting shoot architecture.

Authors:  Dimitrios Fanourakis; Christoph Briese; Johannes Fj Max; Silke Kleinen; Alexander Putz; Fabio Fiorani; Andreas Ulbrich; Ulrich Schurr
Journal:  Plant Methods       Date:  2014-04-11       Impact factor: 4.993

10.  Plant phenotyping: from bean weighing to image analysis.

Authors:  Achim Walter; Frank Liebisch; Andreas Hund
Journal:  Plant Methods       Date:  2015-03-04       Impact factor: 4.993

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