Evidence map›Paper›PMID 39582011›Full record

ArticlePlant methods2024

Microcontroller-based water control system for evaluating crop water use characteristics.

Daisuke Sugiura, Shiro Mitsuya, Hirokazu Takahashi, Ryo Yamamoto, Yoshiyuki Miyazawa

Abstract read
In one paragraph

Article in Plant methods, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
  2. Agronomical Responses of Elite Winter Wheat (Plants (Basel, Switzerland) · 2025
    Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Daisuke SugiuraGraduate School of Bioagricultural Sciences, Nagoya University, Chikusa, Nagoya, 464-8601, Japan. daisuke.sugiura@gmail.com.ORCID http://orcid.org/0000-0002-3003-9171
Shiro MitsuyaGraduate School of Bioagricultural Sciences, Nagoya University, Chikusa, Nagoya, 464-8601, Japan.ORCID http://orcid.org/0000-0003-2961-0454
Hirokazu TakahashiGraduate School of Bioagricultural Sciences, Nagoya University, Chikusa, Nagoya, 464-8601, Japan.ORCID http://orcid.org/0000-0001-6182-3236
Ryo YamamotoGraduate School of Engineering, Technical Office, Nagoya University, Chikusa, Nagoya, 464-8601, Japan.
Yoshiyuki MiyazawaCampus Planning Office, Kyushu University, Nishi, Fukuoka, 819-0395, Japan.ORCID http://orcid.org/0009-0002-4092-1368

Funding

Japan Society for the Promotion of Science 22H02325Japan Society for the Promotion of Science 23K18024Japan Society for the Promotion of Science 23K26875Yanmar Environmental Sustainability Support Association KI0222021
6 · The paper itself

Abstract

backgroundClimate change and the growing demand for agricultural water threaten global food security. Understanding water use characteristics of major crops from leaf to field scale is critical, particularly for identifying crop varieties with enhanced water-use efficiency (WUE) and stress tolerance. Traditional methods to assess WUE are either by gas exchange measurements at the leaf level or labor-intensive manual pot weighing at the whole-plant level, both of which have limited throughput.

resultsHere, we developed a microcontroller-based low-cost system that integrates pot weighing, automated water supply, and real-time monitoring of plant water consumption via Wi-Fi. We validated the system using major crops (rice soybean, maize) under diverse stress conditions (salt, waterlogging, drought). Salt-tolerant rice maintained higher water consumption and growth under salinity than salt-sensitive rice. Waterlogged soybean exhibited reduced water use and growth. Long-term experiments revealed significant WUE differences between rice varieties and morphological adaptations represented by altered shoot-to-root ratios under constant drought conditions in maize.

conclusionsWe demonstrate that the system can be used for varietal differences between major crops in their response to drought, waterlogging, and salinity stress. This system enables high-throughput, long-term evaluation of water use characteristics, facilitating the selection and development of water-saving and stress-tolerant crop varieties.

Indexed as

ArduinoMicro-controllerStomatal conductanceWater use efficiency

Identifiers

PMID39582011
PMCPMC11585949

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.