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The Effect of Temperature on the Inflorescence Formation Model for Phalaenopsis
Jiunyuan Chen1, Chiachung Chen2
1Africa Industrial Research Center, National Chung Hsing University, 250 Kuokuang Road, Taichung 40227, Taiwan.
This study introduces a sigmoid model to predict Phalaenopsis orchid inflorescence formation based on day and night temperatures. The model enables precise microclimate management for increased flower production and financial returns.
Area of Science:
- Horticulture
- Plant Physiology
- Agricultural Engineering
Background:
- Phalaenopsis orchids are commercially important ornamental plants with fluctuating market demand.
- Optimizing inflorescence formation timing is crucial for maximizing financial returns during peak demand periods.
- Controlled temperature environments, specifically cooling rooms, are essential for inducing flowering in mature orchids.
Purpose of the Study:
- To evaluate the impact of varying day and night temperatures on the inflorescence formation percentage in Phalaenopsis orchids.
- To develop and validate an empirical sigmoid model for predicting inflorescence formation.
- To provide a quantitative management tool for microclimate control in orchid cultivation.
Main Methods:
- Four Phalaenopsis orchid varieties, previously cultured under different temperature regimes, were subjected to cooling room conditions.
- Accumulated temperature, calculated from day and night temperatures, was used as a predictive index.
- A sigmoid model was proposed and fitted to the inflorescence formation percentage data.
Main Results:
- A consistent distribution of inflorescence formation percentage and accumulated temperature was observed across the four varieties.
- The proposed sigmoid model demonstrated a strong fitting ability for predicting inflorescence formation percentage.
- Data from previous studies were utilized for comparative analysis and model validation.
Conclusions:
- The developed inflorescence formation model effectively predicts flowering response based on accumulated temperature.
- The model serves as a valuable tool for quantitative microclimate management in both vegetative and cooling room stages.
- Optimized temperature management can enhance financial returns through predictable and timely inflorescence development in Phalaenopsis orchids.
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