Pretreatments and MEFI Applications for Improving
Postharvest Quality of Cut Spray Rosa hybrida L.
‘Lovely Lydia’

Oh, Sang Im; Lee, Ja Hee; Lee, Ae Kyung

doi:10.12972/kjhst.20180024

Cited by 6 publications

(5 citation statements)

References 12 publications

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“…The quality of cut roses is influenced by the cultivar and growth environment before the harvest, and by the levels of ethylene and the presence of pathogens, such as bacteria, after harvest. Microorganisms found within the vascular tissues of the stem influence the longevity of roses after harvest (Hoogerwerf et al, 1989;Oh et al, 2017), as vascular blockages reduce water absorption, which leads to water stress and the bent-neck symptom, and in turn a degradation of the quality and ornamental value of cut roses (Burdett, 1970;van Doorn, 1989).…”

Section: Development Of a Cut Rose Longevity Prediction Model Using T...mentioning

confidence: 99%

Development of a Cut Rose Longevity Prediction Model Using Thermography and Machine Learning

Choi¹,

Lee²

2020

HST

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To predict the longevity of cut roses (Rosa hybrida L.), we used thermal image analysis on '3D', 'Kensington Garden', and 'Hera' rose cultivars. At blooming stage, the temperatures of leaves and petals were similar to or slightly lower than the air temperature. When the temperature of leaves and petals increased by 2°C compared to the air temperature, no symptoms such as senescence were visible in the leaves and petals. However, three days after the temperature increase, significant visual senescence was observed and the temperature of leaves and petals decreased back to that of the air temperature. Based on this data, we identified three different stages of cut roses: (1) the blooming stage, (2) the last stage with no visual senescence, and (3) the stage with significant visual senescence. To embody a longevity prediction model for cut roses, the temperature difference between the leaf of 'Hera' and the air were chosen for the practice data for the model. After the machine learning process, a model with 100% accuracy was obtained. According to the model, when the temperature of a cut rose leaf is lower than the surrounding air, it is undergoing its blooming stage, while when it is higher it is undergoing the senescence stage. Using logistic regression with machine learning, a value of 1 indicates the senescence stage and a value of 0 indicates the blooming stage. This study suggests that current smart farming techniques used for cut roses are first-generation level, which means there are limitations in environmental control when using a remote control system and partially automatic system. To upgrade this process and overcome these limitations, an optimal model to predict the longevity of a cut rose is needed.

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Section: Development Of a Cut Rose Longevity Prediction Model Using T...mentioning

confidence: 99%

Development of a Cut Rose Longevity Prediction Model Using Thermography and Machine Learning

Choi¹,

Lee²

2020

HST

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“…절화는 신진대사에 필요한 영양분과 수분이 일시적으로 중단되어 있는 상태이며, 외부의 모든 스트레스에 노출되어 있기 때문에 품질을 향상시키기 위해 수분과 당 공급이 요구된다 (Hwang et al, 2009) . 절화 장미의 경우 박테리아 발생량이 368 no./stem 정도 검출되었을 때 도관 막 힘이 일어나 절화수명이 단축되었다고 하였으나 (Oh et al, 2018) 본 연구에서는…”

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Comparison of Transport Methods and Wet Shipping Solutions for Cut Lily ‘Woori Tower’

Lee¹

2020

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“…스프레이 장미의 여러 품종 중 Rosa hybrida L. 'Lovely Lydia'는 한 줄기에 5 -6개 이상의 봉오리와 선명한 자색을 가지고 있어 일본에서 인기가 많은 주 수출 품종으로 보고되었다 (Oh et al, 2017). 스프레이 타입인 'Lovely Lydia'는 수확 후 수분공 급이 이루어지지 않으면, 소화경에서 꽃목굽이 많이 발생하여 품질 및 관상가치가 저하된다고 알려져있다 (Oh et al, 2018). 이 를 해결 하기 위해 재배환경을 분석하고 수확 후 전처리 (Oh et al, 2018), 수송 환경 (Oh et al, 2017) (Fanourakis et al, 2012).…”

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“…스프레이 타입인 'Lovely Lydia'는 수확 후 수분공 급이 이루어지지 않으면, 소화경에서 꽃목굽이 많이 발생하여 품질 및 관상가치가 저하된다고 알려져있다 (Oh et al, 2018). 이 를 해결 하기 위해 재배환경을 분석하고 수확 후 전처리 (Oh et al, 2018), 수송 환경 (Oh et al, 2017) (Fanourakis et al, 2012). 생체중변화율, 수분흡수량 및 수분균형을 조사한 결과(Fig.…”

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Relationship between Cultivation Environment and Postharvest Quality of Cut Rose ‘Lovely Lydia’

Lee¹,

Yoon²,

Oh³

et al. 2020

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The aim of this study was to analyze the effects of the cultivation environment in different seasons on the quality and longevity of the cut spray rose 'Lovely Lydia' (Rosa hybrida L.). According to our analysis, the high outdoor temperature in the summer led to a higher temperature inside the greenhouse. The relative humidity (RH) also increased because of the mist spray that was used to lower the temperature. These changes in the cultivation environment resulted in shorter longevity and lower quality of cut roses during summer compared to that of other seasons. The average minimum temperature during summer was 19.82°C, which was higher than the optimum night temperature of 15 -18°C; thus, the initial characteristics of cut flowers were affected by the high minimum temperature, which also led to a decline in quality. Flower stem length, upper and lower flower stem diameters, fresh weight, and the number of florets were also affected by the season. Plant length was longer in spring cut roses compared to roses grown in other seasons. Analysis of the vase life of postharvest cut flowers showed that summer cut roses lasted 4.6 days, which was more than 4 days shorter than that of spring cut flowers. The vase life of cut flowers gradually increased from summer to winter and then to spring. The longer vase life of the spring roses may be related to good water status through proper stomatal function of the cut flowers. The high temperature and humid growth environment during summer limited stomata movement in the cut roses because of the moisture control, which led to less water uptake compared to other seasons. In summary, it maintains the optimum growth environment for roses, and thereby improve cut flower characteristics and quality.

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Pretreatments and MEFI Applications for Improving Postharvest Quality of Cut Spray Rosa hybrida L. ‘Lovely Lydia’

Cited by 6 publications

References 12 publications

Development of a Cut Rose Longevity Prediction Model Using Thermography and Machine Learning

Development of a Cut Rose Longevity Prediction Model Using Thermography and Machine Learning

Comparison of Transport Methods and Wet Shipping Solutions for Cut Lily ‘Woori Tower’

Relationship between Cultivation Environment and Postharvest Quality of Cut Rose ‘Lovely Lydia’

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