Literature DB >> 24666962

Digital imaging approaches for phenotyping whole plant nitrogen and phosphorus response in Brachypodium distachyon.

Richard Poiré1, Vincent Chochois, Xavier R R Sirault, John P Vogel, Michelle Watt, Robert T Furbank.   

Abstract

This work evaluates the phenotypic response of the model grass (Brachypodium distachyon (L.) P. Beauv.) to nitrogen and phosphorus nutrition using a combination of imaging techniques and destructive harvest of shoots and roots. Reference line Bd21-3 was grown in pots using 11 phosphorus and 11 nitrogen concentrations to establish a dose-response curve. Shoot biovolume and biomass, root length and biomass, and tissue phosphorus and nitrogen concentrations increased with nutrient concentration. Shoot biovolume, estimated by imaging, was highly correlated with dry weight (R(2) > 0.92) and both biovolume and growth rate responded strongly to nutrient availability. Higher nutrient supply increased nodal root length more than other root types. Photochemical efficiency was strongly reduced by low phosphorus concentrations as early as 1 week after germination, suggesting that this measurement may be suitable for high throughput screening of phosphorus response. In contrast, nitrogen concentration had little effect on photochemical efficiency. Changes in biovolume over time were used to compare growth rates of four accessions in response to nitrogen and phosphorus supply. We demonstrate that a time series image-based approach coupled with mathematical modeling provides higher resolution of genotypic response to nutrient supply than traditional destructive techniques and shows promise for high throughput screening and determination of genomic regions associated with superior nutrient use efficiency.
© 2014 CSIRO Journal of Integrative Plant Biology © 2014 Institute of Botany, Chinese Academy of Sciences This article has been contributed to by US Government employees and their work is in the public domain in the USA.

Entities:  

Keywords:  Nutrients uptake; phenomics; photosynthesis; root; shoot

Mesh:

Substances:

Year:  2014        PMID: 24666962     DOI: 10.1111/jipb.12198

Source DB:  PubMed          Journal:  J Integr Plant Biol        ISSN: 1672-9072            Impact factor:   7.061


  14 in total

1.  Integrating Image-Based Phenomics and Association Analysis to Dissect the Genetic Architecture of Temporal Salinity Responses in Rice.

Authors:  Malachy T Campbell; Avi C Knecht; Bettina Berger; Chris J Brien; Dong Wang; Harkamal Walia
Journal:  Plant Physiol       Date:  2015-06-25       Impact factor: 8.340

Review 2.  Brachypodium: A Monocot Grass Model Genus for Plant Biology.

Authors:  Karen-Beth G Scholthof; Sonia Irigoyen; Pilar Catalan; Kranthi K Mandadi
Journal:  Plant Cell       Date:  2018-07-11       Impact factor: 11.277

3.  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

4.  3D Laser Triangulation for Plant Phenotyping in Challenging Environments.

Authors:  Katrine Heinsvig Kjaer; Carl-Otto Ottosen
Journal:  Sensors (Basel)       Date:  2015-06-09       Impact factor: 3.576

5.  Abiotic Stress Phenotypes Are Associated with Conserved Genes Derived from Transposable Elements.

Authors:  Zoé Joly-Lopez; Ewa Forczek; Emilio Vello; Douglas R Hoen; Akiko Tomita; Thomas E Bureau
Journal:  Front Plant Sci       Date:  2017-11-28       Impact factor: 5.753

6.  Nitrogen diagnosis based on dynamic characteristics of rice leaf image.

Authors:  Yuanyuan Sun; Shaochun Zhu; Xuan Yang; Melanie Valerie Weston; Ke Wang; Zhangquan Shen; Hongwei Xu; Lisu Chen
Journal:  PLoS One       Date:  2018-04-24       Impact factor: 3.240

7.  The 'PhenoBox', a flexible, automated, open-source plant phenotyping solution.

Authors:  Angelika Czedik-Eysenberg; Sebastian Seitner; Ulrich Güldener; Stefanie Koemeda; Jakub Jez; Martin Colombini; Armin Djamei
Journal:  New Phytol       Date:  2018-04-05       Impact factor: 10.151

8.  Can High Throughput Phenotyping Help Food Security in the Mediterranean Area?

Authors:  Donatella Danzi; Nunzio Briglia; Angelo Petrozza; Stephan Summerer; Giovanni Povero; Alberto Stivaletta; Francesco Cellini; Domenico Pignone; Domenico De Paola; Michela Janni
Journal:  Front Plant Sci       Date:  2019-01-25       Impact factor: 5.753

9.  Auxin mediates the touch-induced mechanical stimulation of adventitious root formation under windy conditions in Brachypodium distachyon.

Authors:  Bo Eun Nam; Young-Joon Park; Kyung-Eun Gil; Ju-Heon Kim; Jae Geun Kim; Chung-Mo Park
Journal:  BMC Plant Biol       Date:  2020-07-16       Impact factor: 4.215

10.  High-throughput phenotyping using digital and hyperspectral imaging-derived biomarkers for genotypic nitrogen response.

Authors:  Bikram P Banerjee; Sameer Joshi; Emily Thoday-Kennedy; Raj K Pasam; Josquin Tibbits; Matthew Hayden; German Spangenberg; Surya Kant
Journal:  J Exp Bot       Date:  2020-07-25       Impact factor: 6.992

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