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

IF 4.7 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Daisuke Sugiura, Shiro Mitsuya, Hirokazu Takahashi, Ryo Yamamoto, Yoshiyuki Miyazawa
{"title":"Microcontroller-based water control system for evaluating crop water use characteristics.","authors":"Daisuke Sugiura, Shiro Mitsuya, Hirokazu Takahashi, Ryo Yamamoto, Yoshiyuki Miyazawa","doi":"10.1186/s13007-024-01305-0","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Climate 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.</p><p><strong>Results: </strong>Here, 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.</p><p><strong>Conclusions: </strong>We 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.</p>","PeriodicalId":20100,"journal":{"name":"Plant Methods","volume":"20 1","pages":"179"},"PeriodicalIF":4.7000,"publicationDate":"2024-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11585949/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Plant Methods","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1186/s13007-024-01305-0","RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
引用次数: 0

Abstract

Background: Climate 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.

Results: Here, 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.

Conclusions: We 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.

基于微控制器的水控制系统,用于评估作物用水特性。
背景:气候变化和不断增长的农业用水需求威胁着全球粮食安全。从叶片到田间尺度了解主要作物的用水特性至关重要,特别是对于确定具有更高水利用效率(WUE)和抗逆性的作物品种。评估水分利用效率的传统方法要么是在叶片层面进行气体交换测量,要么是在整个植株层面进行劳动密集型人工盆栽称重,这两种方法的产量都很有限:在此,我们开发了一种基于微控制器的低成本系统,该系统集成了花盆称重、自动供水和通过 Wi-Fi 实时监控植物耗水量等功能。我们利用主要作物(水稻、大豆、玉米)在不同胁迫条件(盐、涝、旱)下对该系统进行了验证。与对盐分敏感的水稻相比,耐盐水稻在盐分条件下保持了更高的耗水量和生长速度。受涝大豆的用水量和生长量都有所下降。长期实验表明,在持续干旱条件下,水稻品种间的水分利用效率存在显著差异,玉米的形态适应性表现为芽根比率的改变:我们证明,该系统可用于研究主要作物在应对干旱、涝害和盐碱胁迫时的品种差异。该系统可对水分利用特性进行高通量、长期的评估,从而促进节水和抗逆作物品种的选择和开发。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Plant Methods
Plant Methods 生物-植物科学
CiteScore
9.20
自引率
3.90%
发文量
121
审稿时长
2 months
期刊介绍: Plant Methods is an open access, peer-reviewed, online journal for the plant research community that encompasses all aspects of technological innovation in the plant sciences. There is no doubt that we have entered an exciting new era in plant biology. The completion of the Arabidopsis genome sequence, and the rapid progress being made in other plant genomics projects are providing unparalleled opportunities for progress in all areas of plant science. Nevertheless, enormous challenges lie ahead if we are to understand the function of every gene in the genome, and how the individual parts work together to make the whole organism. Achieving these goals will require an unprecedented collaborative effort, combining high-throughput, system-wide technologies with more focused approaches that integrate traditional disciplines such as cell biology, biochemistry and molecular genetics. Technological innovation is probably the most important catalyst for progress in any scientific discipline. Plant Methods’ goal is to stimulate the development and adoption of new and improved techniques and research tools and, where appropriate, to promote consistency of methodologies for better integration of data from different laboratories.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信