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iPOTs: Internet of Things-based pot system controlling optional treatment of soil water condition for plant phenotyping under drought stress
Authors:Yuko Numajiri  Kanami Yoshino  Shota Teramoto  Atsushi Hayashi  Ryo Nishijima  Tsuyoshi Tanaka  Takeshi Hayashi  Taiji Kawakatsu  Takanari Tanabata  Yusaku Uga
Affiliation:1. Institute of Crop Science, National Agriculture and Food Research Organization, 2-1-2 Kan-non-dai, Tsukuba, Ibaraki, 305-8518 Japan;2. Institute of Agrobiological Sciences, National Agriculture and Food Research Organization, 3-1-3 Kan-non-dai, Tsukuba, Ibaraki, 305-8604 Japan;3. Kazusa DNA Research Institute, 2-6-7 Kazusa-Kamatari, Kisarazu, Chiba, 292-0818 Japan;4. Research Center for Agricultural Information Technology, National Agriculture and Food Research Organization, 3-5-1 Kasumigaseki, Chiyoda, Tokyo, 100-0013 Japan
Abstract:A cultivation facility that can assist users in controlling the soil water condition is needed for accurately phenotyping plants under drought stress in an artificial environment. Here we report the Internet of Things-based pot system controlling optional treatment of soil water condition (iPOTs), an automatic irrigation system that mimics the drought condition in a growth chamber. The Wi-Fi-enabled iPOTs system allows water supply from the bottom of the pot, based on the soil water level set by the user, and automatically controls the soil water level at a desired depth. The iPOTs also allows users to monitor environmental parameters, such as soil temperature, air temperature, humidity, and light intensity, in each pot. To verify whether the iPOTs mimics the drought condition, we conducted a drought stress test on rice (Oryza sativa L.) varieties and near-isogenic lines, with diverse root system architecture, using the iPOTs system installed in a growth chamber. Similar to the results of a previous drought stress field trial, the growth of shallow-rooted rice accessions was severely affected by drought stress compared with that of deep-rooted accessions. The microclimate data obtained using the iPOTs system increased the accuracy of plant growth evaluation. Transcriptome analysis revealed that pot positions in the growth chamber had little impact on plant growth. Together, these results suggest that the iPOTs system is a reliable platform for phenotyping plants under drought stress.
Keywords:abiotic stress  water stress  drought resistance  phenotyping system  multi-omics analysis  high-throughput phenotyping  technical advance
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