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Automated phenotyping for early vigour of field pea seedlings in controlled environment by colour imaging technology

Early vigour of seedlings is a beneficial trait of field pea (Pisum sativum L.) that contributes to weed control, water use efficiency and is likely to contribute to yield under certain environments. Although breeding is considered the most effective approach to improve early vigour of field pea, th...

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Autores principales: Nguyen, Giao N., Norton, Sally L., Rosewarne, Garry M., James, Laura E., Slater, Anthony T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6242686/
https://www.ncbi.nlm.nih.gov/pubmed/30452470
http://dx.doi.org/10.1371/journal.pone.0207788
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author Nguyen, Giao N.
Norton, Sally L.
Rosewarne, Garry M.
James, Laura E.
Slater, Anthony T.
author_facet Nguyen, Giao N.
Norton, Sally L.
Rosewarne, Garry M.
James, Laura E.
Slater, Anthony T.
author_sort Nguyen, Giao N.
collection PubMed
description Early vigour of seedlings is a beneficial trait of field pea (Pisum sativum L.) that contributes to weed control, water use efficiency and is likely to contribute to yield under certain environments. Although breeding is considered the most effective approach to improve early vigour of field pea, the absence of a robust and high-throughput phenotyping tool to dissect this complex trait is currently a major obstacle of genetic improvement programs to address this issue. To develop this tool, separate trials on 44 genetically diverse field pea genotypes were conducted in the automated plant phenotyping platform of Plant Phenomics Victoria, Horsham and in the field, respectively. High correlation between estimated plant parameters derived from the automated phenotyping platform and important early vigour traits such as shoot biomass, leaf area and plant height indicated that the derived plant parameters can be used to predict vigour traits in field pea seedlings. Plant growth analysis demonstrated that the “broken-stick” model fitted well with the growth pattern of all field pea genotypes and can be used to determine the linear growth phase. Further analysis suggested that the estimated plant parameters collected at the linear growth phase can effectively differentiate early vigour across field pea genotypes. High correlation between normalised difference vegetation indices captured from the field trial and estimated shoot biomass and top-view area confirmed the consistent performance of early vigour field pea genotypes under controlled and field environments. Overall, our results demonstrated that this robust screening tool is highly applicable and will enable breeding programs to rapidly identify early vigour traits and utilise germplasm to contribute to the genetic improvement of field peas.
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spelling pubmed-62426862018-11-30 Automated phenotyping for early vigour of field pea seedlings in controlled environment by colour imaging technology Nguyen, Giao N. Norton, Sally L. Rosewarne, Garry M. James, Laura E. Slater, Anthony T. PLoS One Research Article Early vigour of seedlings is a beneficial trait of field pea (Pisum sativum L.) that contributes to weed control, water use efficiency and is likely to contribute to yield under certain environments. Although breeding is considered the most effective approach to improve early vigour of field pea, the absence of a robust and high-throughput phenotyping tool to dissect this complex trait is currently a major obstacle of genetic improvement programs to address this issue. To develop this tool, separate trials on 44 genetically diverse field pea genotypes were conducted in the automated plant phenotyping platform of Plant Phenomics Victoria, Horsham and in the field, respectively. High correlation between estimated plant parameters derived from the automated phenotyping platform and important early vigour traits such as shoot biomass, leaf area and plant height indicated that the derived plant parameters can be used to predict vigour traits in field pea seedlings. Plant growth analysis demonstrated that the “broken-stick” model fitted well with the growth pattern of all field pea genotypes and can be used to determine the linear growth phase. Further analysis suggested that the estimated plant parameters collected at the linear growth phase can effectively differentiate early vigour across field pea genotypes. High correlation between normalised difference vegetation indices captured from the field trial and estimated shoot biomass and top-view area confirmed the consistent performance of early vigour field pea genotypes under controlled and field environments. Overall, our results demonstrated that this robust screening tool is highly applicable and will enable breeding programs to rapidly identify early vigour traits and utilise germplasm to contribute to the genetic improvement of field peas. Public Library of Science 2018-11-19 /pmc/articles/PMC6242686/ /pubmed/30452470 http://dx.doi.org/10.1371/journal.pone.0207788 Text en © 2018 Nguyen et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Nguyen, Giao N.
Norton, Sally L.
Rosewarne, Garry M.
James, Laura E.
Slater, Anthony T.
Automated phenotyping for early vigour of field pea seedlings in controlled environment by colour imaging technology
title Automated phenotyping for early vigour of field pea seedlings in controlled environment by colour imaging technology
title_full Automated phenotyping for early vigour of field pea seedlings in controlled environment by colour imaging technology
title_fullStr Automated phenotyping for early vigour of field pea seedlings in controlled environment by colour imaging technology
title_full_unstemmed Automated phenotyping for early vigour of field pea seedlings in controlled environment by colour imaging technology
title_short Automated phenotyping for early vigour of field pea seedlings in controlled environment by colour imaging technology
title_sort automated phenotyping for early vigour of field pea seedlings in controlled environment by colour imaging technology
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6242686/
https://www.ncbi.nlm.nih.gov/pubmed/30452470
http://dx.doi.org/10.1371/journal.pone.0207788
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