Abstract
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.
Highlights
In recent years, advances in genotyping through generation sequencing techniques have facilitated the generation of genetic marker information at large scale and decreasing costs [1, 2]
There was a linear relationship between the EC-5 sensor output and Volumetric Water Content (VWC), with a high R2 value of 0.98
The linear relationship observed between the EC-5 output and VWC in the range of water content used is in agreement with previous studies, as demonstrated by the R2 values (0.92–0.98) [36, 37, 38]
Summary
Advances in genotyping through generation sequencing techniques have facilitated the generation of genetic marker information at large scale and decreasing costs [1, 2]. Plant genotyping is no longer the largest constraint in genetic studies. High-throughput phenotyping (HTP), i.e. the measurement of quantitative/qualitative traits in a large number of plants, requires intense resource allocation and faces multiple technical challenges [3]. Drought is one of the most important abiotic stresses that reduces crop yields in dryland agriculture. The response of plants to limited water conditions can be studied at different.
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