Thesis
Development of high-throughput automated phenotyping system for controlled environment studies
Washington State University
Master of Science (MS), Washington State University
2017
Handle:
https://hdl.handle.net/2376/105179
Abstract
Several factors, like increasing population and depleting resources, urge plant breeding to develop better crop varieties. Plant breeding has made progress in recent years attributed to high-throughput genotyping, however, phenotyping remains a bottleneck of plant breeding, as often phenotyping is time-consuming, labor intensive, destructive, and sometimes subjective. Although commercial phenotyping equipment are available, their popularity is limited by factors like space, specific controlled environment, etc. A simple, accurate, high-throughput phenotyping (HTP) system is highly desirable to plant breeders, plant physiologists, and agronomists. To combat this, an automated system for high-throughput phenotyping was developed and tested. The automated platform was an integration of an aluminum framework with two stepper motors and control components, three cameras, and a laptop. In addition, a custom control program (integrating the control of platform and sensors including trigger) and image processing algorithm to analyze images derived from the system were developed using LabVIEW and MATLAB for estimating traits associated with tested plants. Results displayed that the automated system for HTP was able to run automatically with a repeatability in time and positioning within 4 s and 0.78 mm, respectively. Phenotypes extracted include temporal data of color, texture, thermal, morphology, and greenness features. The system was validated using two wheat varieties with known differences in heat stress tolerance. Validation studies revealed temporal differences in features such as leaf area and green normalized difference vegetation index using low-cost automated system for HTP. This study demonstrated successful development and implementation of an automated system with custom developed algorithms in HTP. Further improvement of such low-cost automated systems for HTP would benefit plant breeders, plant physiologists, and agronomists to phenotype crops and accelerate development of high-performing crop varieties.
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Details
- Title
- Development of high-throughput automated phenotyping system for controlled environment studies
- Creators
- Chongyuan Zhang
- Contributors
- Sindhuja Sankaran (Degree Supervisor)
- Awarding Institution
- Washington State University
- Academic Unit
- Biological Systems Engineering, Department of
- Theses and Dissertations
- Master of Science (MS), Washington State University
- Publisher
- Washington State University; [Pullman, Washington] :
- Identifiers
- 99900525271801842
- Language
- English
- Resource Type
- Thesis