Floriculture (kaki) Researcher
かきけんきゅうしゃ
Industry & Occupation
Classification
- Major : Research and Technical Occupations
- Middle : Researchers
- Minor : Natural Science Researchers
Summary
Conducts research on floriculture breeding and cultivation techniques, aiming for new variety development and quality improvement as a scientific and technical profession.
Description
Floriculture researchers conduct basic and applied research on floriculture plants such as cut flowers and potted plants. They utilize breeding techniques and molecular biology methods to achieve goals such as disease resistance, environmental tolerance, improvements in color and flowering patterns, and development of long-term preservation technologies. They belong to research institutions, universities, corporate research labs, etc., and handle a wide range of tasks including planning experiments, test cultivation, gene analysis, tissue culture, data analysis, paper writing, and variety registration procedures. Collaboration with industry and farmers, as well as collection of marketing information, is also important.
Future Outlook
Demand for diverse variety development is increasing, and research fields for environmentally adaptive and low-cost production technologies are expanding. Integration with sustainable agriculture is also expected.
Personality Traits
Has attention to detail / Has curiosity and inquisitiveness / Has eagerness to learn / Has patience
Work Style
Academic Society Collaborative Research / Business Trips / Corporate Research Institute / Laboratory Work
Career Path
Researcher → Senior Researcher → Project Leader → Institute Director → University Faculty
Required Skills
Experimental Design / Genetic Marker Analysis / Molecular Biology Techniques / Plant Breeding / Statistical Analysis / Tissue Culture
Recommended Skills
Bioinformatics / English Paper Reading and Writing / GIS Basic Knowledge / Image Analysis
Aptitudes (Strengths Preferred)
| Item | Description |
|---|---|
| Analytical & Logical Thinking | Multifaceted analysis of experimental data is essential. |
| Attention to Detail & Accuracy | Precise experimental operations and data accuracy are required. |
| Learning Agility & Knowledge Acquisition | Continuous acquisition of new technologies and knowledge is necessary. |
| Numerical & Quantitative Analysis | Statistical analysis is used to evaluate and verify results. |
| Problem Solving | 対応 to experimental troubles and unexpected results is necessary. |
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