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

被引:12
作者
Numajiri, Yuko [1 ]
Yoshino, Kanami [2 ]
Teramoto, Shota [1 ]
Hayashi, Atsushi [3 ]
Nishijima, Ryo [2 ]
Tanaka, Tsuyoshi [1 ]
Hayashi, Takeshi [4 ]
Kawakatsu, Taiji [2 ]
Tanabata, Takanari [3 ]
Uga, Yusaku [1 ]
机构
[1] Natl Agr & Food Res Org, Inst Crop Sci, 2-1-2 Kan Non Dai, Tsukuba, Ibaraki 3058518, Japan
[2] Natl Agr & Food Res Org, Inst Agrobiol Sci, 3-1-3 Kan Non Dai, Tsukuba, Ibaraki 3058604, Japan
[3] Kazusa DNA Res Inst, 2-6-7 Kazusa Kamatari, Chiba 2920818, Japan
[4] Natl Agr & Food Res Org, Res Ctr Agr Informat Technol, 3-5-1 Kasumigaseki, Tokyo 1000013, Japan
关键词
abiotic stress; water stress; drought resistance; phenotyping system; multi-omics analysis; high-throughput phenotyping; technical advance; RICE; EXPRESSION; YIELD; CHLOROPHYLLIDE; IDENTIFICATION; EFFICIENT; RESPONSES; PLATFORM; GROWTH; DRO1;
D O I
10.1111/tpj.15400
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
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.
引用
收藏
页码:1569 / 1580
页数:12
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