Utilization of a high-throughput shoot imaging system to examine the dynamic phenotypic responses of a C4 cereal crop plant to nitrogen and water deficiency over time

Elizabeth Heather Neilson, Aaron Mark Edwards, Cecilia Karstin Moni Maria Blomstedt, Bettina Berger, Birger Lindberg Moller, Roslyn M Gleadow

Research output: Contribution to journalArticleResearchpeer-review

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Abstract

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.
Original languageEnglish
Pages (from-to)1817 - 1832
Number of pages16
JournalJournal of Experimental Botany
Volume66
Issue number7
DOIs
Publication statusPublished - 2015

Cite this

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title = "Utilization of a high-throughput shoot imaging system to examine the dynamic phenotypic responses of a C4 cereal crop plant to nitrogen and water deficiency over time",
abstract = "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.",
author = "Neilson, {Elizabeth Heather} and Edwards, {Aaron Mark} and Blomstedt, {Cecilia Karstin Moni Maria} and Bettina Berger and Moller, {Birger Lindberg} and Gleadow, {Roslyn M}",
year = "2015",
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Utilization of a high-throughput shoot imaging system to examine the dynamic phenotypic responses of a C4 cereal crop plant to nitrogen and water deficiency over time. / Neilson, Elizabeth Heather; Edwards, Aaron Mark; Blomstedt, Cecilia Karstin Moni Maria; Berger, Bettina; Moller, Birger Lindberg; Gleadow, Roslyn M.

In: Journal of Experimental Botany, Vol. 66, No. 7, 2015, p. 1817 - 1832.

Research output: Contribution to journalArticleResearchpeer-review

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AU - Neilson, Elizabeth Heather

AU - Edwards, Aaron Mark

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AU - Berger, Bettina

AU - Moller, Birger Lindberg

AU - Gleadow, Roslyn M

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