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Chilling and Forcing From Cut Twigs-How to Simplify Phenological Experiments for Citizen Science
Annette Menzel1,2, Ye Yuan1, Andreas Hamann3
1Ecoclimatology, Department of Ecology and Ecosystem Management, TUM School of Life Sciences, Technical University of Munich, Freising, Germany.
Frontiers in Plant Science
|October 5, 2020
Summary
Low-cost experiments using cut twigs effectively assess winter chilling needs for plant bud development. This approach is suitable for citizen science and school projects, advancing climate change impact research.
Area of Science:
- Plant phenology
- Climate change biology
- Citizen science
Background:
- Bud development is crucial for plant life cycles.
- Winter chilling is a key environmental factor influencing bud burst.
- Current methods for studying chilling requirements can be resource-intensive.
Purpose of the Study:
- To investigate the efficacy of low-cost cut twig experiments for studying winter chilling requirements.
- To assess the feasibility of implementing these experiments in citizen science and school settings.
- To develop a robust experimental protocol for phenological research.
Main Methods:
- Experiments using *Corylus avellana* (hazel) cut twigs subjected to natural and refrigerated chilling treatments.
- Forcing of twigs indoors to observe bud burst and leaf development.
- Statistical analysis to determine minimum sample sizes and model the chilling-forcing relationship.
Main Results:
- Cut twig experiments accurately reflected natural chilling conditions.
- A negative exponential relationship was found between chilling duration and forcing required for bud burst.
- Minimum sample sizes were identified for robust data collection (e.g., 5 cutting dates or 10 twig repetitions).
Conclusions:
- Low-cost cut twig experiments are a viable method for studying winter chilling and bud development.
- The methodology is well-suited for citizen science, school projects, and science education.
- Large-scale implementation can significantly advance phenological research and climate change impact studies.

