Thermal image analysis for predicting the longevity of Rosa hybrida
In this study we aimed to test the use of infrared thermography for evaluating the temperature of leaf surface and predict the longevity of three cut rose cultivars via multiple linear regression (MLR). The temperature of leaf surface and petal at blooming stage (B-Stage) was significantly lower than ambient temperature. However, this value was markedly higher than ambient temperature at last stage without visual senescence (L-Stage) and slightly lower or similar to the ambient temperature at senescent stage (S-Stage). An increase in temperature of leaf surface at L-Stage was closely related to water stress status of cut flowers such as a reduction in fresh weight and water uptake rate, and negative values of water balance. The vase life of cut roses was 9.6 d 'Dolcetto', 11.3 d in 'Sujikyu', and 13.6 d in 'Wild Look', but the senescence was initiated with the changes in temperature of leaf surface about 3-4 d before vase life termination. Thus, we developed the longevity prediction model based on the difference between leaf surface and ambient temperature via MLR with R2=0.8942. The results demonstrate that thermal image analysis is an effective and rapid method for evaluating the internal quality of cut roses after harvest and an efficient technique for developing vase life prediction model in the cut rose industry.
Ha, S.T.T., Kwon, M.J., Nguyen, T.K. and Lim, J.H. (2020). Thermal image analysis for predicting the longevity of Rosa hybrida. Acta Hortic. 1291, 291-300
leaf temperature, non-destructive technique, postharvest, senescence, vase life