The Effect of Temperature on the Inflorescence Formation Model for <i>Phalaenopsis</i>
<i>Phalaenopsis</i> orchids are a popular ornamental plant in the flower market. During some festivals, demand increases significantly. These mature orchids must be placed in cooling rooms for inflorescence formation at specific times to increase the financial return from their sale. The...
| Published in: | Plants |
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| Main Authors: | , |
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-05-01
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| Online Access: | https://www.mdpi.com/2223-7747/13/9/1280 |
| _version_ | 1850113328138944512 |
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| author | Jiunyuan Chen Chiachung Chen |
| author_facet | Jiunyuan Chen Chiachung Chen |
| author_sort | Jiunyuan Chen |
| collection | DOAJ |
| container_title | Plants |
| description | <i>Phalaenopsis</i> orchids are a popular ornamental plant in the flower market. During some festivals, demand increases significantly. These mature orchids must be placed in cooling rooms for inflorescence formation at specific times to increase the financial return from their sale. The purpose of this study is to evaluate the effect of day and night temperatures on the inflorescence formation percentage using the proposed sigmoid model. Four varieties that are cultured in different vegetative temperature regimes are placed in a cooling room. An empirical inflorescence formation model is proposed as a management tool to predict the inflorescence formation percentage for <i>Phalaenopsis.</i> Some data sets from previous studies are used for comparison. The accumulation temperature is calculated using the day and night temperatures and is an index to predict the inflorescence formation percentage. The results show that there is a similar distribution of the inflorescence formation percentage and accumulation temperature for the four varieties. The proposed sigmoid model has a good fitting ability for the inflorescence formation percentage. This inflorescence formation model from the pooled data sets allows quantitative microclimate management of the vegetative and cooling room. |
| format | Article |
| id | doaj-art-776e3a22e97a4b00a99a14f21097a2f0 |
| institution | Directory of Open Access Journals |
| issn | 2223-7747 |
| language | English |
| publishDate | 2024-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| spelling | doaj-art-776e3a22e97a4b00a99a14f21097a2f02025-08-19T23:58:53ZengMDPI AGPlants2223-77472024-05-01139128010.3390/plants13091280The Effect of Temperature on the Inflorescence Formation Model for <i>Phalaenopsis</i>Jiunyuan Chen0Chiachung Chen1Africa Industrial Research Center, National Chung Hsing University, 250 Kuokuang Road, Taichung 40227, TaiwanDepartment of Bio-Industrial Mechatronics Engineering, National Chung Hsing University, 250 Kuokuang Road, Taichung 40227, Taiwan<i>Phalaenopsis</i> orchids are a popular ornamental plant in the flower market. During some festivals, demand increases significantly. These mature orchids must be placed in cooling rooms for inflorescence formation at specific times to increase the financial return from their sale. The purpose of this study is to evaluate the effect of day and night temperatures on the inflorescence formation percentage using the proposed sigmoid model. Four varieties that are cultured in different vegetative temperature regimes are placed in a cooling room. An empirical inflorescence formation model is proposed as a management tool to predict the inflorescence formation percentage for <i>Phalaenopsis.</i> Some data sets from previous studies are used for comparison. The accumulation temperature is calculated using the day and night temperatures and is an index to predict the inflorescence formation percentage. The results show that there is a similar distribution of the inflorescence formation percentage and accumulation temperature for the four varieties. The proposed sigmoid model has a good fitting ability for the inflorescence formation percentage. This inflorescence formation model from the pooled data sets allows quantitative microclimate management of the vegetative and cooling room.https://www.mdpi.com/2223-7747/13/9/1280regression analysis<i>Phalaenopsis</i>inflorescence formation modelaccumulation temperature |
| spellingShingle | Jiunyuan Chen Chiachung Chen The Effect of Temperature on the Inflorescence Formation Model for <i>Phalaenopsis</i> regression analysis <i>Phalaenopsis</i> inflorescence formation model accumulation temperature |
| title | The Effect of Temperature on the Inflorescence Formation Model for <i>Phalaenopsis</i> |
| title_full | The Effect of Temperature on the Inflorescence Formation Model for <i>Phalaenopsis</i> |
| title_fullStr | The Effect of Temperature on the Inflorescence Formation Model for <i>Phalaenopsis</i> |
| title_full_unstemmed | The Effect of Temperature on the Inflorescence Formation Model for <i>Phalaenopsis</i> |
| title_short | The Effect of Temperature on the Inflorescence Formation Model for <i>Phalaenopsis</i> |
| title_sort | effect of temperature on the inflorescence formation model for i phalaenopsis i |
| topic | regression analysis <i>Phalaenopsis</i> inflorescence formation model accumulation temperature |
| url | https://www.mdpi.com/2223-7747/13/9/1280 |
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