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
- Institución
- Instituto Nacional de Tecnología Agropecuaria
- OAI Identificador
- oai:localhost:20.500.12123/2697
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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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12.559606 |