iPOTs: Internet of Things‐based pot system controlling optional treatment of soil water condition for plant phenotyping under drought stress

  • Yuko Numajiri
    Institute of Crop Science National Agriculture and Food Research Organization 2‐1‐2 Kan‐non‐dai Tsukuba Ibaraki 305‐8518 Japan
  • Kanami Yoshino
    Institute of Agrobiological Sciences National Agriculture and Food Research Organization 3‐1‐3 Kan‐non‐dai Tsukuba Ibaraki 305‐8604 Japan
  • Shota Teramoto
    Institute of Crop Science National Agriculture and Food Research Organization 2‐1‐2 Kan‐non‐dai Tsukuba Ibaraki 305‐8518 Japan
  • Atsushi Hayashi
    Kazusa DNA Research Institute 2‐6‐7 Kazusa‐Kamatari Kisarazu Chiba 292‐0818 Japan
  • Ryo Nishijima
    Institute of Agrobiological Sciences National Agriculture and Food Research Organization 3‐1‐3 Kan‐non‐dai Tsukuba Ibaraki 305‐8604 Japan
  • Tsuyoshi Tanaka
    Institute of Crop Science National Agriculture and Food Research Organization 2‐1‐2 Kan‐non‐dai Tsukuba Ibaraki 305‐8518 Japan
  • Takeshi Hayashi
    Research Center for Agricultural Information Technology National Agriculture and Food Research Organization 3‐5‐1 Kasumigaseki Chiyoda Tokyo 100‐0013 Japan
  • Taiji Kawakatsu
    Institute of Agrobiological Sciences National Agriculture and Food Research Organization 3‐1‐3 Kan‐non‐dai Tsukuba Ibaraki 305‐8604 Japan
  • Takanari Tanabata
    Kazusa DNA Research Institute 2‐6‐7 Kazusa‐Kamatari Kisarazu Chiba 292‐0818 Japan
  • Yusaku Uga
    Institute of Crop Science National Agriculture and Food Research Organization 2‐1‐2 Kan‐non‐dai Tsukuba Ibaraki 305‐8518 Japan

書誌事項

公開日
2021-07-27
資源種別
journal article
権利情報
  • http://onlinelibrary.wiley.com/termsAndConditions#am
  • http://onlinelibrary.wiley.com/termsAndConditions#vor
DOI
  • 10.1111/tpj.15400
公開者
Wiley

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説明

<jats:title>SUMMARY</jats:title><jats:p>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 <jats:italic>I</jats:italic>nternet of Things‐based <jats:italic>p</jats:italic>ot system controlling <jats:italic>o</jats:italic>ptional <jats:italic>t</jats:italic>reatment of <jats:italic>s</jats:italic>oil 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 (<jats:italic>Oryza sativa</jats:italic> 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.</jats:p>

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