ArticlePlant & cell physiology2018
RIPPS: A Plant Phenotyping System for Quantitative Evaluation of Growth Under Controlled Environmental Stress Conditions.
Article in Plant & cell physiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- Anticancer Ribosomally Synthesized and Post-Translationally Modified Peptides from Plants: Structures, Therapeutic Potential, and Future Directions.Current issues in molecular biology · 2024Review
- Microcontroller-based water control system for evaluating crop water use characteristics.Plant methods · 2024Article
- Regulatory networks in plant responses to drought and cold stress.Plant physiology · 2024Review
- Affordable Phenotyping at the Edge for High-Throughput Detection of Hypersensitive Reaction Involving Cotyledon Loss.Plant phenomics (Washington, D.C.) · 2024Article
- Metabolic analysis of the regulatory mechanism of sugars on secondary flowering in Magnolia.BMC molecular and cell biology · 2022Article
- Ethanol-Mediated Novel Survival Strategy against Drought Stress in Plants.Plant & cell physiology · 2022Article
- Development of a high-throughput field phenotyping rover optimized for size-limited breeding fields as open-source hardware.Breeding science · 2022Article
- Development of a plant conveyance system using an AGV and a self-designed plant-handling device: A case study of DIY plant phenotyping.Breeding science · 2022Article
- CIN-like TCP13 is essential for plant growth regulation under dehydration stress.Plant molecular biology · 2022Article
- Inter-tissue and inter-organ signaling in drought stress response and phenotyping of drought tolerance.The Plant journal : for cell and molecular biology · 2022Review
- Functional genomics in plant abiotic stress responses and tolerance: From gene discovery to complex regulatory networks and their application in breeding.Proceedings of the Japan Academy. Series B, Physical and biological sciences · 2022Review
- Corrected photochemical reflectance index (PRI) is an effective tool for detecting environmental stresses in agricultural crops under light conditions.Journal of plant research · 2021Article
- Exploration of Life-Course Factors Influencing Phenotypic Outcomes in Crops.Plant & cell physiology · 2020Article
- Decoding Plant-Environment Interactions That Influence Crop Agronomic Traits.Plant & cell physiology · 2020Review
- Greenotyper: Image-Based Plant Phenotyping Using Distributed Computing and Deep Learning.Frontiers in plant science · 2020Article
- All roads lead to growth: imaging-based and biochemical methods to measure plant growth.Journal of experimental botany · 2020Article
- Computer vision-based phenotyping for improvement of plant productivity: a machine learning perspective.GigaScience · 2019Review
- Drought Resistance by Engineering Plant Tissue-Specific Responses.Frontiers in plant science · 2019Review
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
High-throughput and accurate measurements of plant traits facilitate identification of gene function. Along with recent advances in quantitative genomics, there is a growing need for precise quantification of multiple traits in plants. However, it is difficult continuously to quantify plant adaptive responses to environmental stress responses such as drought because multiple environmental factors are intricately involved in the phenotype. To solve this problem, we developed an automatic phenotyping system for evaluating the growth responses of individual Arabidopsis plants to a wide range of environmental conditions. The RIKEN Integrated Plant Phenotyping System (RIPPS) controls soil moisture for single plants by automatically weighing and watering 120 continuously rotating pots under controlled light, humidity and temperature growth conditions. RIPPS also records individual rosette size and expansion rate by photographing plants every 2 h. We used RIPPS to establish phenotype evaluation methods for Arabidopsis growth response and water use efficiency under various water conditions, and analyzed the involvement of ABA metabolism in determining water use efficiency. We also used RIPPS to analyze salinity tolerance in Arabidopsis plants.
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Registered trials
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