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Establishment of Physiological Detection Model for Potted Oncidium
Response surface plots plotted according to results of potted Oncidium, Colmanara Massai ‘White’ (A) 200 μmol m<sup>-2</sup> s<sup>-1</sup>, (B) 300 μmol m<sup>-2</sup> s<sup>-1</sup>, and (C) 400 μmol m<sup>-2</sup> s<sup>-1</sup>.
Response surface plots plotted according to results of potted Oncidium, Colmanara Massai ‘White’ (A) 200 μmol m-2 s-1, (B) 300 μmol m-2 s-1, and (C) 400 μmol m-2 s-1.

Author:Szu-Lun Lai*, Ching-Hui Chung, Jian-Cheng Ciou, Hsiang-Ting Jian, and Ting-En Dai

Abstract:

     There are many varieties of potted oncidiums, and the diversity of flower shape and color comes from inter-generic and intra-generic hybridization. The differences in their reproductive characteristics often cause cultivation problems in the industry, the method of introducing a small amount of trial seeds is more cost-intensive, and the screening efficiency of suitable varieties is also poor. In this study, a self-designed detection system was used to detect the physiological characteristics of different oncidium varieties and to estimate the optimal environmental conditions for plant cultivation. At the same time, the actual cultivation in different environmental fields was used as a comparison. The test results showed that the tested variety Colmanara Massai ‘White’ was an average temperature type with day and night temperatures of 25/25℃, and the light intensity was about 200 μmol m-2 s-1. Miltonidium Rosy Sunset was an average temperature type with a day and night temperature of 25/25℃, and the light intensity was about 400 μmol m-2 s-1. Odontobrassia Kenneth Biven ‘Santa Barbara’ had a day and night temperature of 26/20℃, and the light intensity was about 300 μmol m-2 s-1. The results show that the characteristic trend of the physiological detection system based on the response surface methodology could be used as a reference for the adjustment of cultivation management, and it could also greatly shorten the time for operators to try and explore, and speed up the selection of varieties.

Key words:Response surface methodology, Oncidium, Whole-plant measurement, Photosynthesis

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