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Utilization of a high-throughput shoot imaging system to examine the dynamic phenotypic responses of a C(4) cereal crop plant to nitrogen and water deficiency over time

The use of high-throughput phenotyping systems and non-destructive imaging is widely regarded as a key technology allowing scientists and breeders to develop crops with the ability to perform well under diverse environmental conditions. However, many of these phenotyping studies have been optimized...

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Autores principales: Neilson, E. H., Edwards, A. M., Blomstedt, C. K., Berger, B., Møller, B. Lindberg, Gleadow, R. M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4378625/
https://www.ncbi.nlm.nih.gov/pubmed/25697789
http://dx.doi.org/10.1093/jxb/eru526
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author Neilson, E. H.
Edwards, A. M.
Blomstedt, C. K.
Berger, B.
Møller, B. Lindberg
Gleadow, R. M.
author_facet Neilson, E. H.
Edwards, A. M.
Blomstedt, C. K.
Berger, B.
Møller, B. Lindberg
Gleadow, R. M.
author_sort Neilson, E. H.
collection PubMed
description The use of high-throughput phenotyping systems and non-destructive imaging is widely regarded as a key technology allowing scientists and breeders to develop crops with the ability to perform well under diverse environmental conditions. However, many of these phenotyping studies have been optimized using the model plant Arabidopsis thaliana. In this study, The Plant Accelerator(®) at The University of Adelaide, Australia, was used to investigate the growth and phenotypic response of the important cereal crop, Sorghum bicolor L. Moench and related hybrids to water-limited conditions and different levels of fertilizer. Imaging in different spectral ranges was used to monitor plant composition, chlorophyll, and moisture content. Phenotypic image analysis accurately measured plant biomass. The data set obtained enabled the responses of the different sorghum varieties to the experimental treatments to be differentiated and modelled. Plant architectural instead of architecture elements were determined using imaging and found to correlate with an improved tolerance to stress, for example diurnal leaf curling and leaf area index. Analysis of colour images revealed that leaf ‘greenness’ correlated with foliar nitrogen and chlorophyll, while near infrared reflectance (NIR) analysis was a good predictor of water content and leaf thickness, and correlated with plant moisture content. It is shown that imaging sorghum using a high-throughput system can accurately identify and differentiate between growth and specific phenotypic traits. R scripts for robust, parsimonious models are provided to allow other users of phenomic imaging systems to extract useful data readily, and thus relieve a bottleneck in phenotypic screening of multiple genotypes of key crop plants.
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spelling pubmed-43786252015-06-10 Utilization of a high-throughput shoot imaging system to examine the dynamic phenotypic responses of a C(4) cereal crop plant to nitrogen and water deficiency over time Neilson, E. H. Edwards, A. M. Blomstedt, C. K. Berger, B. Møller, B. Lindberg Gleadow, R. M. J Exp Bot Research Paper The use of high-throughput phenotyping systems and non-destructive imaging is widely regarded as a key technology allowing scientists and breeders to develop crops with the ability to perform well under diverse environmental conditions. However, many of these phenotyping studies have been optimized using the model plant Arabidopsis thaliana. In this study, The Plant Accelerator(®) at The University of Adelaide, Australia, was used to investigate the growth and phenotypic response of the important cereal crop, Sorghum bicolor L. Moench and related hybrids to water-limited conditions and different levels of fertilizer. Imaging in different spectral ranges was used to monitor plant composition, chlorophyll, and moisture content. Phenotypic image analysis accurately measured plant biomass. The data set obtained enabled the responses of the different sorghum varieties to the experimental treatments to be differentiated and modelled. Plant architectural instead of architecture elements were determined using imaging and found to correlate with an improved tolerance to stress, for example diurnal leaf curling and leaf area index. Analysis of colour images revealed that leaf ‘greenness’ correlated with foliar nitrogen and chlorophyll, while near infrared reflectance (NIR) analysis was a good predictor of water content and leaf thickness, and correlated with plant moisture content. It is shown that imaging sorghum using a high-throughput system can accurately identify and differentiate between growth and specific phenotypic traits. R scripts for robust, parsimonious models are provided to allow other users of phenomic imaging systems to extract useful data readily, and thus relieve a bottleneck in phenotypic screening of multiple genotypes of key crop plants. Oxford University Press 2015-04 2015-02-19 /pmc/articles/PMC4378625/ /pubmed/25697789 http://dx.doi.org/10.1093/jxb/eru526 Text en © The Author 2015. Published by Oxford University Press on behalf of the Society for Experimental Biology. http://creativecommons.org/licenses/by/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Paper
Neilson, E. H.
Edwards, A. M.
Blomstedt, C. K.
Berger, B.
Møller, B. Lindberg
Gleadow, R. M.
Utilization of a high-throughput shoot imaging system to examine the dynamic phenotypic responses of a C(4) cereal crop plant to nitrogen and water deficiency over time
title Utilization of a high-throughput shoot imaging system to examine the dynamic phenotypic responses of a C(4) cereal crop plant to nitrogen and water deficiency over time
title_full Utilization of a high-throughput shoot imaging system to examine the dynamic phenotypic responses of a C(4) cereal crop plant to nitrogen and water deficiency over time
title_fullStr Utilization of a high-throughput shoot imaging system to examine the dynamic phenotypic responses of a C(4) cereal crop plant to nitrogen and water deficiency over time
title_full_unstemmed Utilization of a high-throughput shoot imaging system to examine the dynamic phenotypic responses of a C(4) cereal crop plant to nitrogen and water deficiency over time
title_short Utilization of a high-throughput shoot imaging system to examine the dynamic phenotypic responses of a C(4) cereal crop plant to nitrogen and water deficiency over time
title_sort utilization of a high-throughput shoot imaging system to examine the dynamic phenotypic responses of a c(4) cereal crop plant to nitrogen and water deficiency over time
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4378625/
https://www.ncbi.nlm.nih.gov/pubmed/25697789
http://dx.doi.org/10.1093/jxb/eru526
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