Dataset Information

RIPPS: A Plant Phenotyping System for Quantitative Evaluation of Growth Under Controlled Environmental Stress Conditions.

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.

SUBMITTER: Fujita M

PROVIDER: S-EPMC6178962 | biostudies-literature | 2018 Oct

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

RIPPS: A Plant Phenotyping System for Quantitative Evaluation of Growth Under Controlled Environmental Stress Conditions.

Fujita Miki M Tanabata Takanari T Urano Kaoru K Kikuchi Saya S Shinozaki Kazuo K

Plant & cell physiology 20181001 10

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 phenotyp ...[more]

PMID: 30010970

Similar Datasets

Project description:Detailed and standardized protocols for plant cultivation in environmentally controlled conditions are an essential prerequisite to conduct reproducible experiments with precisely defined treatments. Setting up appropriate and well defined experimental procedures is thus crucial for the generation of solid evidence and indispensable for successful plant research. Non-invasive and high throughput (HT) phenotyping technologies offer the opportunity to monitor and quantify performance dynamics of several hundreds of plants at a time. Compared to small scale plant cultivations, HT systems have much higher demands, from a conceptual and a logistic point of view, on experimental design, as well as the actual plant cultivation conditions, and the image analysis and statistical methods for data evaluation. Furthermore, cultivation conditions need to be designed that elicit plant performance characteristics corresponding to those under natural conditions. This manuscript describes critical steps in the optimization of procedures for HT plant phenotyping systems. Starting with the model plant Arabidopsis, HT-compatible methods were tested, and optimized with regard to growth substrate, soil coverage, watering regime, experimental design (considering environmental inhomogeneities) in automated plant cultivation and imaging systems. As revealed by metabolite profiling, plant movement did not affect the plants' physiological status. Based on these results, procedures for maize HT cultivation and monitoring were established. Variation of maize vegetative growth in the HT phenotyping system did match well with that observed in the field. The presented results outline important issues to be considered in the design of HT phenotyping experiments for model and crop plants. It thereby provides guidelines for the setup of HT experimental procedures, which are required for the generation of reliable and reproducible data of phenotypic variation for a broad range of applications.

Dataset Information

RIPPS: A Plant Phenotyping System for Quantitative Evaluation of Growth Under Controlled Environmental Stress Conditions.

Publications

RIPPS: A Plant Phenotyping System for Quantitative Evaluation of Growth Under Controlled Environmental Stress Conditions.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets