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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

Iowa State University Digital Repository 2018

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  • Title:
    A cost-effective and customizable automated irrigation system for precise high-throughput phenotyping in drought stress studies
  • Author: Ortiz, Diego ; Litvin, Alexander G ; Salas Fernandez, Maria G
  • Subjects: Agriculture ; Agronomy and Crop Sciences ; Environmental Sciences ; Horticulture ; Plant Breeding and Genetics
  • Notes: Agronomy Publications
  • 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.
  • Publisher: Iowa State University Digital Repository
  • Creation Date: 2018
  • Language: English
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