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

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

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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Bibliographic Details
Published in:Journal of experimental botany Vol. 66; no. 7; pp. 1817 - 1832
Main Authors: Neilson, E. H., Edwards, A. M., Blomstedt, C. K., Berger, B., Møller, B. Lindberg, Gleadow, R. M.
Format: Journal Article
Language:English
Published: England Oxford University Press 01-04-2015
Subjects:
Algorithms
Biomass
Chlorophyll - metabolism
Crops, Agricultural
Droughts
Edible Grain - growth & development
Edible Grain - physiology
Models, Theoretical
Nitrogen - metabolism
Phenotype
Plant Leaves - growth & development
Plant Leaves - physiology
Plant Shoots - growth & development
Plant Shoots - physiology
RESEARCH PAPER
Sorghum - growth & development
Sorghum - physiology
Water - physiology
Cyanogenesis
LemnaTec Scanalyzer
drought
Sorghum
growth
nitrogen deficiency
phenomics
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Summary: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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content type line 23
ISSN:0022-0957
1460-2431
DOI:10.1093/jxb/eru526