Phenotyping Root Systems in a Set of Japonica Rice Accessions: Can Structural Traits Predict the Response to Drought?

Background: The root system plays a major role in plant growth and development and root system architecture is reported to be the main trait related to plant adaptation to drought. However, phenotyping root systems in situ is not suited to high-throughput methods, leading to the development of non-d...

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Autores: Guimarães, Paulo Henrique Ramos, Lima, Isabela Pereira de, Castro, Adriano Pereira de, Lanna, Anna Cristina, Melo, Patrícia Guimarães Santos, Raïssac, Marcel de
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2020
País:Brasil
Institución:Universidade Federal de Lavras (UFLA)
Repositorio:Repositório Institucional da UFLA
Idioma:inglés
OAI Identifier:oai:repositorio.ufla.br:1/47976
Acceso en línea:https://repositorio.ufla.br/handle/1/47976
Access Level:acceso abierto
Palabra clave:Oryza sativa
Root system architecture
PVC pipes
Genetic variation
Phenotypic plasticity
Arroz japonês
Sistema radicular - arquitetura
Tubos de PVC
Arroz - Variação genética
Plasticidade fenotípica
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dc.title.pt_BR.fl_str_mv Phenotyping Root Systems in a Set of Japonica Rice Accessions: Can Structural Traits Predict the Response to Drought?
title Phenotyping Root Systems in a Set of Japonica Rice Accessions: Can Structural Traits Predict the Response to Drought?
spellingShingle Phenotyping Root Systems in a Set of Japonica Rice Accessions: Can Structural Traits Predict the Response to Drought?
Guimarães, Paulo Henrique Ramos
Oryza sativa
Root system architecture
PVC pipes
Genetic variation
Phenotypic plasticity
Arroz japonês
Sistema radicular - arquitetura
Tubos de PVC
Arroz - Variação genética
Plasticidade fenotípica
title_short Phenotyping Root Systems in a Set of Japonica Rice Accessions: Can Structural Traits Predict the Response to Drought?
title_full Phenotyping Root Systems in a Set of Japonica Rice Accessions: Can Structural Traits Predict the Response to Drought?
title_fullStr Phenotyping Root Systems in a Set of Japonica Rice Accessions: Can Structural Traits Predict the Response to Drought?
title_full_unstemmed Phenotyping Root Systems in a Set of Japonica Rice Accessions: Can Structural Traits Predict the Response to Drought?
title_sort Phenotyping Root Systems in a Set of Japonica Rice Accessions: Can Structural Traits Predict the Response to Drought?
dc.creator.none.fl_str_mv Guimarães, Paulo Henrique Ramos
Lima, Isabela Pereira de
Castro, Adriano Pereira de
Lanna, Anna Cristina
Melo, Patrícia Guimarães Santos
Raïssac, Marcel de
author Guimarães, Paulo Henrique Ramos
author_facet Guimarães, Paulo Henrique Ramos
Lima, Isabela Pereira de
Castro, Adriano Pereira de
Lanna, Anna Cristina
Melo, Patrícia Guimarães Santos
Raïssac, Marcel de
author_role author
author2 Lima, Isabela Pereira de
Castro, Adriano Pereira de
Lanna, Anna Cristina
Melo, Patrícia Guimarães Santos
Raïssac, Marcel de
author2_role author
author
author
author
author
dc.subject.por.fl_str_mv Oryza sativa
Root system architecture
PVC pipes
Genetic variation
Phenotypic plasticity
Arroz japonês
Sistema radicular - arquitetura
Tubos de PVC
Arroz - Variação genética
Plasticidade fenotípica
topic Oryza sativa
Root system architecture
PVC pipes
Genetic variation
Phenotypic plasticity
Arroz japonês
Sistema radicular - arquitetura
Tubos de PVC
Arroz - Variação genética
Plasticidade fenotípica
description Background: The root system plays a major role in plant growth and development and root system architecture is reported to be the main trait related to plant adaptation to drought. However, phenotyping root systems in situ is not suited to high-throughput methods, leading to the development of non-destructive methods for evaluations in more or less controlled root environments. This study used a root phenotyping platform with a panel of 20 japonica rice accessions in order to: (i) assess their genetic diversity for a set of structural and morphological root traits and classify the different types; (ii) analyze the plastic response of their root system to a water deficit at reproductive phase and (iii) explore the ability of the platform for high-throughput phenotyping of root structure and morphology. Results: High variability for the studied root traits was found in the reduced set of accessions. Using eight selected traits under irrigated conditions, five root clusters were found that differed in root thickness, branching index and the pattern of fine and thick root distribution along the profile. When water deficit occurred at reproductive phase, some accessions significantly reduced root growth compared to the irrigated treatment, while others stimulated it. It was found that root cluster, as defined under irrigated conditions, could not predict the plastic response of roots under drought. Conclusions: This study revealed the possibility of reconstructing the structure of root systems from scanned images. It was thus possible to significantly class root systems according to simple structural traits, opening up the way for using such a platform for medium to high-throughput phenotyping. The study also highlighted the uncoupling between root structures under non-limiting water conditions and their response to drought.
publishDate 2020
dc.date.issued.fl_str_mv 2020-09
dc.date.accessioned.fl_str_mv 2021-08-27T18:43:48Z
dc.date.available.fl_str_mv 2021-08-27T18:43:48Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.citation.fl_str_mv GUIMARÃES, P. H. R. et al. Phenotyping Root Systems in a Set of Japonica Rice Accessions: Can Structural Traits Predict the Response to Drought? Rice, [S. I.], v. 13, 2020. DOI: https://doi.org/10.1186/s12284-020-00404-5.
dc.identifier.uri.fl_str_mv https://repositorio.ufla.br/handle/1/47976
identifier_str_mv GUIMARÃES, P. H. R. et al. Phenotyping Root Systems in a Set of Japonica Rice Accessions: Can Structural Traits Predict the Response to Drought? Rice, [S. I.], v. 13, 2020. DOI: https://doi.org/10.1186/s12284-020-00404-5.
url https://repositorio.ufla.br/handle/1/47976
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv http://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Springer Nature
publisher.none.fl_str_mv Springer Nature
dc.source.pt_BR.fl_str_mv Rice
dc.source.none.fl_str_mv reponame:Repositório Institucional da UFLA
instname:Universidade Federal de Lavras (UFLA)
instacron:UFLA
instname_str Universidade Federal de Lavras (UFLA)
instacron_str UFLA
institution UFLA
reponame_str Repositório Institucional da UFLA
collection Repositório Institucional da UFLA
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spelling 2021-08-27T18:43:48Z2021-08-27T18:43:48Z2020-09GUIMARÃES, P. H. R. et al. Phenotyping Root Systems in a Set of Japonica Rice Accessions: Can Structural Traits Predict the Response to Drought? Rice, [S. I.], v. 13, 2020. DOI: https://doi.org/10.1186/s12284-020-00404-5.https://repositorio.ufla.br/handle/1/47976Background: The root system plays a major role in plant growth and development and root system architecture is reported to be the main trait related to plant adaptation to drought. However, phenotyping root systems in situ is not suited to high-throughput methods, leading to the development of non-destructive methods for evaluations in more or less controlled root environments. This study used a root phenotyping platform with a panel of 20 japonica rice accessions in order to: (i) assess their genetic diversity for a set of structural and morphological root traits and classify the different types; (ii) analyze the plastic response of their root system to a water deficit at reproductive phase and (iii) explore the ability of the platform for high-throughput phenotyping of root structure and morphology. Results: High variability for the studied root traits was found in the reduced set of accessions. Using eight selected traits under irrigated conditions, five root clusters were found that differed in root thickness, branching index and the pattern of fine and thick root distribution along the profile. When water deficit occurred at reproductive phase, some accessions significantly reduced root growth compared to the irrigated treatment, while others stimulated it. It was found that root cluster, as defined under irrigated conditions, could not predict the plastic response of roots under drought. Conclusions: This study revealed the possibility of reconstructing the structure of root systems from scanned images. It was thus possible to significantly class root systems according to simple structural traits, opening up the way for using such a platform for medium to high-throughput phenotyping. The study also highlighted the uncoupling between root structures under non-limiting water conditions and their response to drought.Springer Naturehttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessRicereponame:Repositório Institucional da UFLAinstname:Universidade Federal de Lavras (UFLA)instacron:UFLAOryza sativaRoot system architecturePVC pipesGenetic variationPhenotypic plasticityArroz japonêsSistema radicular - arquiteturaTubos de PVCArroz - Variação genéticaPlasticidade fenotípicaPhenotyping Root Systems in a Set of Japonica Rice Accessions: Can Structural Traits Predict the Response to Drought?info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleengGuimarães, Paulo Henrique RamosLima, Isabela Pereira deCastro, Adriano Pereira deLanna, Anna CristinaMelo, Patrícia Guimarães SantosRaïssac, Marcel deORIGINALARTIGO_Phenotyping Root Systems in a Set of Japonica Rice Accessions Can Structural Traits Predict the Response to Drought.pdfARTIGO_Phenotyping Root Systems in a Set of Japonica Rice Accessions Can Structural Traits Predict the Response to Drought.pdfapplication/pdf1694907https://repositorio.ufla.br/bitstreams/be1d8faf-46df-436a-9469-80082e3d0fc4/download127ed943952f645f3104e43947453b1cMD51trueAnonymousREADCC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8907https://repositorio.ufla.br/bitstreams/c924b88e-a771-4ef5-91c8-b3e8248585e5/downloadc07b6daef3dbee864bf87e6aa836cde2MD52falseAnonymousREADLICENSElicense.txtlicense.txttext/plain; charset=utf-8953https://repositorio.ufla.br/bitstreams/ab79ead1-2ed2-42f9-b93d-dde3e2f0e88a/download760884c1e72224de569e74f79eb87ce3MD53falseAnonymousREAD1/479762025-07-17 11:04:48.21http://creativecommons.org/licenses/by/4.0/acesso abertoopen.accessoai:repositorio.ufla.br:1/47976https://repositorio.ufla.brRepositório InstitucionalPUBhttps://repositorio.ufla.br/server/oai/requestnivaldo@ufla.br || repositorio.biblioteca@ufla.bropendoar:2025-07-17T14:04:48Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)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