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Dynamics of Maize Vegetative Growth and Drought Adaptability Using Image-Based Phenotyping Under Controlled Conditions

Changes in climate are likely to have a negative impact on water availability and soil fertility in many maize-growing agricultural areas. The development of high-throughput phenotyping platforms provides a new prospect for dissecting the dynamic complex plant traits such as abiotic stress tolerance...

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Autores principales: Dodig, Dejan, Božinović, Sofija, Nikolić, Ana, Zorić, Miroslav, Vančetović, Jelena, Ignjatović-Micić, Dragana, Delić, Nenad, Weigelt-Fischer, Kathleen, Altmann, Thomas, Junker, Astrid
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8146906/
https://www.ncbi.nlm.nih.gov/pubmed/34046050
http://dx.doi.org/10.3389/fpls.2021.652116
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author Dodig, Dejan
Božinović, Sofija
Nikolić, Ana
Zorić, Miroslav
Vančetović, Jelena
Ignjatović-Micić, Dragana
Delić, Nenad
Weigelt-Fischer, Kathleen
Altmann, Thomas
Junker, Astrid
author_facet Dodig, Dejan
Božinović, Sofija
Nikolić, Ana
Zorić, Miroslav
Vančetović, Jelena
Ignjatović-Micić, Dragana
Delić, Nenad
Weigelt-Fischer, Kathleen
Altmann, Thomas
Junker, Astrid
author_sort Dodig, Dejan
collection PubMed
description Changes in climate are likely to have a negative impact on water availability and soil fertility in many maize-growing agricultural areas. The development of high-throughput phenotyping platforms provides a new prospect for dissecting the dynamic complex plant traits such as abiotic stress tolerance into simple components. The growth phenotypes of 20 maize (Zea mays L.) inbred lines were monitored in a non-invasive way under control, nitrogen, and water limitation as well as under combined nitrogen and water stress using an automated phenotyping system in greenhouse conditions. Thirteen biomass-related and morphophysiological traits were extracted from RGB images acquired at 33 time points covering developmental stages from leaf count 5 at the first imaging date to leaf count 10–13 at the final harvest. For these traits, genetic differences were identified and dynamic developmental trends during different maize growth stages were analyzed. The difference between control and water stress was detectable 3–10 days after the beginning of stress depending on the genotype, while the effect of limited nitrogen supply only induced subtle phenotypic effects. Phenotypic traits showed different response dynamics as well as multiple and changing interaction patterns with stress progression. The estimated biovolume, leaf area index, and color ratios were found to be stress-responsive at different stages of drought stress progression and thereby represent valuable reference indicators in the selection of drought-adaptive genotypes. Furthermore, genotypes could be grouped according to two typical growth dynamic patterns in water stress treatments by c-means clustering analysis. Inbred lines with high drought adaptability across time and development were identified and could serve as a basis for designing novel genotypes with desired, stage-specific growth phenotypes under water stress through pyramiding. Drought recovery potential may play an equal role as drought tolerance in plant drought adaptation.
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spelling pubmed-81469062021-05-26 Dynamics of Maize Vegetative Growth and Drought Adaptability Using Image-Based Phenotyping Under Controlled Conditions Dodig, Dejan Božinović, Sofija Nikolić, Ana Zorić, Miroslav Vančetović, Jelena Ignjatović-Micić, Dragana Delić, Nenad Weigelt-Fischer, Kathleen Altmann, Thomas Junker, Astrid Front Plant Sci Plant Science Changes in climate are likely to have a negative impact on water availability and soil fertility in many maize-growing agricultural areas. The development of high-throughput phenotyping platforms provides a new prospect for dissecting the dynamic complex plant traits such as abiotic stress tolerance into simple components. The growth phenotypes of 20 maize (Zea mays L.) inbred lines were monitored in a non-invasive way under control, nitrogen, and water limitation as well as under combined nitrogen and water stress using an automated phenotyping system in greenhouse conditions. Thirteen biomass-related and morphophysiological traits were extracted from RGB images acquired at 33 time points covering developmental stages from leaf count 5 at the first imaging date to leaf count 10–13 at the final harvest. For these traits, genetic differences were identified and dynamic developmental trends during different maize growth stages were analyzed. The difference between control and water stress was detectable 3–10 days after the beginning of stress depending on the genotype, while the effect of limited nitrogen supply only induced subtle phenotypic effects. Phenotypic traits showed different response dynamics as well as multiple and changing interaction patterns with stress progression. The estimated biovolume, leaf area index, and color ratios were found to be stress-responsive at different stages of drought stress progression and thereby represent valuable reference indicators in the selection of drought-adaptive genotypes. Furthermore, genotypes could be grouped according to two typical growth dynamic patterns in water stress treatments by c-means clustering analysis. Inbred lines with high drought adaptability across time and development were identified and could serve as a basis for designing novel genotypes with desired, stage-specific growth phenotypes under water stress through pyramiding. Drought recovery potential may play an equal role as drought tolerance in plant drought adaptation. Frontiers Media S.A. 2021-05-11 /pmc/articles/PMC8146906/ /pubmed/34046050 http://dx.doi.org/10.3389/fpls.2021.652116 Text en Copyright © 2021 Dodig, Božinović, Nikolić, Zorić, Vančetović, Ignjatović-Micić, Delić, Weigelt-Fischer, Altmann and Junker. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Plant Science
Dodig, Dejan
Božinović, Sofija
Nikolić, Ana
Zorić, Miroslav
Vančetović, Jelena
Ignjatović-Micić, Dragana
Delić, Nenad
Weigelt-Fischer, Kathleen
Altmann, Thomas
Junker, Astrid
Dynamics of Maize Vegetative Growth and Drought Adaptability Using Image-Based Phenotyping Under Controlled Conditions
title Dynamics of Maize Vegetative Growth and Drought Adaptability Using Image-Based Phenotyping Under Controlled Conditions
title_full Dynamics of Maize Vegetative Growth and Drought Adaptability Using Image-Based Phenotyping Under Controlled Conditions
title_fullStr Dynamics of Maize Vegetative Growth and Drought Adaptability Using Image-Based Phenotyping Under Controlled Conditions
title_full_unstemmed Dynamics of Maize Vegetative Growth and Drought Adaptability Using Image-Based Phenotyping Under Controlled Conditions
title_short Dynamics of Maize Vegetative Growth and Drought Adaptability Using Image-Based Phenotyping Under Controlled Conditions
title_sort dynamics of maize vegetative growth and drought adaptability using image-based phenotyping under controlled conditions
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8146906/
https://www.ncbi.nlm.nih.gov/pubmed/34046050
http://dx.doi.org/10.3389/fpls.2021.652116
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