A cost-effective and customizable automated irrigation system for precise high-throughput phenotyping in drought stress studies

Autores
Ortiz, Diego; Litvin, Alexander G.; Salas Fernandez, María G.
Año de publicación
2018
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The development of high-yielding crops with drought tolerance is necessary to increase food, feed, fiber and fuel production. Methods that create similar environmental conditions for a large number of genotypes are essential to investigate plant responses to drought in gene discovery studies. Modern facilities that control water availability for each plant remain cost-prohibited to some sections of the research community. We present an alternative cost-effective automated irrigation system scalable for a high-throughput and controlled dry-down treatment of plants. This system was tested in sorghum using two experiments. First, four genotypes were subjected to ten days of dry-down to achieve three final Volumetric Water Content (VWC) levels: drought (0.10 and 0.20 m3 m-3) and control (0.30 m3 m-3). The final average VWC was 0.11, 0.22, and 0.31 m3 m-3, respectively, and significant differences in biomass accumulation were observed between control and drought treatments. Second, 42 diverse sorghum genotypes were subjected to a seven-day dry-down treatment for a final drought stress of 0.15 m3 m-3 VWC. The final average VWC was 0.17 m3 m-3, and plants presented significant differences in photosynthetic rate during the drought period. These results demonstrate that cost-effective automation systems can successfully control substrate water content for each plant, to accurately compare their phenotypic responses to drought, and be scaled up for high-throughput phenotyping studies.
EEA Manfredi
Fil: Ortìz, Diego. Iowa State University. Departament of Agronomy; Estados Unidos
Fil: Litvin, Alexander G. Iowa State University. Departament of Horticulture; Estados Unidos
Fil: Salas Fernandez, Marìa G. Iowa State University. Departament of Horticulture; Estados Unidos
Fuente
PLoS ONE 13 (6) : e0198546 (2018)
Materia
Sorghum
Sorgo
Sequía
Fenotipos
Riego Automático
Drought
Phenotypes
Automatic Irrigation
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
INTA Digital (INTA)
Institución
Instituto Nacional de Tecnología Agropecuaria
OAI Identificador
oai:localhost:20.500.12123/2697

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spelling A cost-effective and customizable automated irrigation system for precise high-throughput phenotyping in drought stress studiesOrtiz, DiegoLitvin, Alexander G.Salas Fernandez, María G.SorghumSorgoSequíaFenotiposRiego AutomáticoDroughtPhenotypesAutomatic IrrigationThe development of high-yielding crops with drought tolerance is necessary to increase food, feed, fiber and fuel production. Methods that create similar environmental conditions for a large number of genotypes are essential to investigate plant responses to drought in gene discovery studies. Modern facilities that control water availability for each plant remain cost-prohibited to some sections of the research community. We present an alternative cost-effective automated irrigation system scalable for a high-throughput and controlled dry-down treatment of plants. This system was tested in sorghum using two experiments. First, four genotypes were subjected to ten days of dry-down to achieve three final Volumetric Water Content (VWC) levels: drought (0.10 and 0.20 m3 m-3) and control (0.30 m3 m-3). The final average VWC was 0.11, 0.22, and 0.31 m3 m-3, respectively, and significant differences in biomass accumulation were observed between control and drought treatments. Second, 42 diverse sorghum genotypes were subjected to a seven-day dry-down treatment for a final drought stress of 0.15 m3 m-3 VWC. The final average VWC was 0.17 m3 m-3, and plants presented significant differences in photosynthetic rate during the drought period. These results demonstrate that cost-effective automation systems can successfully control substrate water content for each plant, to accurately compare their phenotypic responses to drought, and be scaled up for high-throughput phenotyping studies.EEA ManfrediFil: Ortìz, Diego. Iowa State University. Departament of Agronomy; Estados UnidosFil: Litvin, Alexander G. Iowa State University. Departament of Horticulture; Estados UnidosFil: Salas Fernandez, Marìa G. Iowa State University. Departament of Horticulture; Estados Unidos2018-06-29T13:31:37Z2018-06-29T13:31:37Z2018-06-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12123/2697http://journals.plos.org/plosone/article/authors?id=10.1371/journal.pone.01985461932-6203https://doi.org/10.1371/journal.pone.0198546PLoS ONE 13 (6) : e0198546 (2018)reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología Agropecuariaenginfo:eu-repograntAgreement/INTA/PNCYO/1127043/AR./Desarrollo de germoplasma y cultivares comerciales de cereales de verano.info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)2025-09-29T13:44:21Zoai:localhost:20.500.12123/2697instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2025-09-29 13:44:21.271INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse
dc.title.none.fl_str_mv A cost-effective and customizable automated irrigation system for precise high-throughput phenotyping in drought stress studies
title A cost-effective and customizable automated irrigation system for precise high-throughput phenotyping in drought stress studies
spellingShingle A cost-effective and customizable automated irrigation system for precise high-throughput phenotyping in drought stress studies
Ortiz, Diego
Sorghum
Sorgo
Sequía
Fenotipos
Riego Automático
Drought
Phenotypes
Automatic Irrigation
title_short A cost-effective and customizable automated irrigation system for precise high-throughput phenotyping in drought stress studies
title_full A cost-effective and customizable automated irrigation system for precise high-throughput phenotyping in drought stress studies
title_fullStr A cost-effective and customizable automated irrigation system for precise high-throughput phenotyping in drought stress studies
title_full_unstemmed A cost-effective and customizable automated irrigation system for precise high-throughput phenotyping in drought stress studies
title_sort A cost-effective and customizable automated irrigation system for precise high-throughput phenotyping in drought stress studies
dc.creator.none.fl_str_mv Ortiz, Diego
Litvin, Alexander G.
Salas Fernandez, María G.
author Ortiz, Diego
author_facet Ortiz, Diego
Litvin, Alexander G.
Salas Fernandez, María G.
author_role author
author2 Litvin, Alexander G.
Salas Fernandez, María G.
author2_role author
author
dc.subject.none.fl_str_mv Sorghum
Sorgo
Sequía
Fenotipos
Riego Automático
Drought
Phenotypes
Automatic Irrigation
topic Sorghum
Sorgo
Sequía
Fenotipos
Riego Automático
Drought
Phenotypes
Automatic Irrigation
dc.description.none.fl_txt_mv The development of high-yielding crops with drought tolerance is necessary to increase food, feed, fiber and fuel production. Methods that create similar environmental conditions for a large number of genotypes are essential to investigate plant responses to drought in gene discovery studies. Modern facilities that control water availability for each plant remain cost-prohibited to some sections of the research community. We present an alternative cost-effective automated irrigation system scalable for a high-throughput and controlled dry-down treatment of plants. This system was tested in sorghum using two experiments. First, four genotypes were subjected to ten days of dry-down to achieve three final Volumetric Water Content (VWC) levels: drought (0.10 and 0.20 m3 m-3) and control (0.30 m3 m-3). The final average VWC was 0.11, 0.22, and 0.31 m3 m-3, respectively, and significant differences in biomass accumulation were observed between control and drought treatments. Second, 42 diverse sorghum genotypes were subjected to a seven-day dry-down treatment for a final drought stress of 0.15 m3 m-3 VWC. The final average VWC was 0.17 m3 m-3, and plants presented significant differences in photosynthetic rate during the drought period. These results demonstrate that cost-effective automation systems can successfully control substrate water content for each plant, to accurately compare their phenotypic responses to drought, and be scaled up for high-throughput phenotyping studies.
EEA Manfredi
Fil: Ortìz, Diego. Iowa State University. Departament of Agronomy; Estados Unidos
Fil: Litvin, Alexander G. Iowa State University. Departament of Horticulture; Estados Unidos
Fil: Salas Fernandez, Marìa G. Iowa State University. Departament of Horticulture; Estados Unidos
description The development of high-yielding crops with drought tolerance is necessary to increase food, feed, fiber and fuel production. Methods that create similar environmental conditions for a large number of genotypes are essential to investigate plant responses to drought in gene discovery studies. Modern facilities that control water availability for each plant remain cost-prohibited to some sections of the research community. We present an alternative cost-effective automated irrigation system scalable for a high-throughput and controlled dry-down treatment of plants. This system was tested in sorghum using two experiments. First, four genotypes were subjected to ten days of dry-down to achieve three final Volumetric Water Content (VWC) levels: drought (0.10 and 0.20 m3 m-3) and control (0.30 m3 m-3). The final average VWC was 0.11, 0.22, and 0.31 m3 m-3, respectively, and significant differences in biomass accumulation were observed between control and drought treatments. Second, 42 diverse sorghum genotypes were subjected to a seven-day dry-down treatment for a final drought stress of 0.15 m3 m-3 VWC. The final average VWC was 0.17 m3 m-3, and plants presented significant differences in photosynthetic rate during the drought period. These results demonstrate that cost-effective automation systems can successfully control substrate water content for each plant, to accurately compare their phenotypic responses to drought, and be scaled up for high-throughput phenotyping studies.
publishDate 2018
dc.date.none.fl_str_mv 2018-06-29T13:31:37Z
2018-06-29T13:31:37Z
2018-06-05
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/20.500.12123/2697
http://journals.plos.org/plosone/article/authors?id=10.1371/journal.pone.0198546
1932-6203
https://doi.org/10.1371/journal.pone.0198546
url http://hdl.handle.net/20.500.12123/2697
http://journals.plos.org/plosone/article/authors?id=10.1371/journal.pone.0198546
https://doi.org/10.1371/journal.pone.0198546
identifier_str_mv 1932-6203
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repograntAgreement/INTA/PNCYO/1127043/AR./Desarrollo de germoplasma y cultivares comerciales de cereales de verano.
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv PLoS ONE 13 (6) : e0198546 (2018)
reponame:INTA Digital (INTA)
instname:Instituto Nacional de Tecnología Agropecuaria
reponame_str INTA Digital (INTA)
collection INTA Digital (INTA)
instname_str Instituto Nacional de Tecnología Agropecuaria
repository.name.fl_str_mv INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuaria
repository.mail.fl_str_mv tripaldi.nicolas@inta.gob.ar
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