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A cost-effective and customizable automated irrigation system for precise high-throughput phenotyping in drought stress studies
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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5988304/ https://www.ncbi.nlm.nih.gov/pubmed/29870560 http://dx.doi.org/10.1371/journal.pone.0198546 |
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author | Ortiz, Diego Litvin, Alexander G. Salas Fernandez, Maria G. |
author_facet | Ortiz, Diego Litvin, Alexander G. Salas Fernandez, Maria G. |
author_sort | Ortiz, Diego |
collection | PubMed |
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 m(3) m(-3)) and control (0.30 m(3) m(-3)). The final average VWC was 0.11, 0.22, and 0.31 m(3) 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 m(3) m(-3) VWC. The final average VWC was 0.17 m(3) 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. |
format | Online Article Text |
id | pubmed-5988304 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-59883042018-06-16 A cost-effective and customizable automated irrigation system for precise high-throughput phenotyping in drought stress studies Ortiz, Diego Litvin, Alexander G. Salas Fernandez, Maria G. PLoS One Research Article 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 m(3) m(-3)) and control (0.30 m(3) m(-3)). The final average VWC was 0.11, 0.22, and 0.31 m(3) 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 m(3) m(-3) VWC. The final average VWC was 0.17 m(3) 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. Public Library of Science 2018-06-05 /pmc/articles/PMC5988304/ /pubmed/29870560 http://dx.doi.org/10.1371/journal.pone.0198546 Text en © 2018 Ortiz 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 Ortiz, Diego Litvin, Alexander G. Salas Fernandez, Maria G. 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 |
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_short | A cost-effective and customizable automated irrigation system for precise high-throughput phenotyping in drought stress studies |
title_sort | cost-effective and customizable automated irrigation system for precise high-throughput phenotyping in drought stress studies |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5988304/ https://www.ncbi.nlm.nih.gov/pubmed/29870560 http://dx.doi.org/10.1371/journal.pone.0198546 |
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