Campus Units

Agronomy, Horticulture

Document Type

Article

Publication Version

Published Version

Publication Date

2018

Journal or Book Title

PloS ONE

Volume

13

Issue

6

First Page

e0198546

DOI

10.1371/journal.pone.0198546

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.

Comments

This article is published as Ortiz D, Litvin AG, Salas Fernandez MG (2018) A cost-effective and customizable automated irrigation system for precise high-throughput phenotyping in drought stress studies. PLoS ONE 13(6): e0198546. doi: 10.1371/journal.pone.0198546.

Creative Commons License

Creative Commons Attribution 4.0 License
This work is licensed under a Creative Commons Attribution 4.0 License.

Copyright Owner

Ortiz et al.

Language

en

File Format

application/pdf

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