Classification of rose petal colors based on optical spectrum and pigment content analyses

Wang, Hua; Fan, Youwei; Yang, Yuan; Zhang, Hui; Li, Maofu; Sun, Peng; Zhang, Xinzhu; Xue, Zhen; Jin, Wanmei

doi:10.1007/s13580-022-00469-9

Cited by 7 publications

(2 citation statements)

References 48 publications

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“…Roses are the most traded cut flowers globally [1]. Over the last two centuries, many breeders have contributed to the development of new rose varieties with morphological diversity in petal number, color, fragrance, floral shape and structure, flowering time, and frequency [2,3]. In flower forms, standard-type roses produce a bigger flower on a stem compared with spray-type ones having more than four to five flowers per shoot [4].…”

Section: Introductionmentioning

confidence: 99%

Influence of Suboptimal Temperature on Flower Quality and Floral Organ Development in Spray-Type Cut Rose ‘Pink Shine’

2023

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Low temperatures commonly delay flowering in cut roses but enhance final flower quality, i.e., biomass, petal doubling, and flower size. However, this information remains unclear for spray-type cut roses. This study was conducted to understand the effect of suboptimal temperatures on flower quality in the spray-type cut rose ‘Pink Shine.’ The 6-month-old rooted cuttings were cultivated in environmentally controlled growth chambers at four temperature levels: 25/20 °C (optimal temperature, OT) and 20/20 °C, 20/15 °C, and 15/15 °C (suboptimal temperatures, SOTs). As expected, SOTs significantly delayed the flowering time (11.2–25 days) but enhanced flower quality, with 129% and 32% increases in flower size and biomass, respectively. SOTs did not statistically amplify petal numbers, as expected, compared with OT. Instead, SOTs significantly increased stamen and carpel numbers by 1.3 and 2 times, respectively, resulting in a 1.4-fold increase in total floral organ formation. Moreover, SOTs increased the mRNA levels of A-function genes (RhAP1** and RhFUL**) and C-function genes (RhSHP*) but suppressed the B-function gene (RhPI*), which is linked to the development of plant reproductive structures (stamen and carpel) in spray-type cut roses. Conclusively, the growth temperature was more effective for quantity accumulation than for the number of petals but was similar in carpels. These results suggest that SOTs enhance carpel differentiation during flowering, implying that flowers may choose a reproductive strategy through carpels over petals.

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Section: Introductionmentioning

confidence: 99%

Influence of Suboptimal Temperature on Flower Quality and Floral Organ Development in Spray-Type Cut Rose ‘Pink Shine’

2023

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“…(Heuvelink, 1989;Grimstad and Frimanslund, 1993;Gruda, 2005), 고온성 작물 중 하나인 파프리카(Capsicum annuum var. angulosum) 묘는 15°C의 저온수준에서 상대적으로 생체중, 건물중 등의 생장량이 현저히 낮아지는 것으로 조사되어 본 실험의 결과와 유 사하였으며 (Cho et al, 2016) (Kim et al, 2022a), 과거 다양한 연구에서 식 물의 외적품질을 평가하는데 활용되었다 (Belal et al, 2022;Win et al, 2022;Habibi et al, 2023;Park et al, 2023;Wang et al, 2023). CIELAB 색공간 좌표에서 명도를 나타내는 L * 은 32/27°C 처리구에서 58.20으로 가장 높은 것으로 나타났다 (Fig.…”

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Experimental Control of Day and Night Temperatures to Improve the Growth and External Quality of Salvia miltiorrhiza Bunge

Kim,

Lee,

Nam

2024

HST

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Salvia miltiorrhiza is a medicinal crop belonging to the Lamiaceae family. It is commonly used in China as an ingredient in health-promoting teas that enhance immunity and prevent diseases. Although some Korean local farmers have reported that S. miltiorrhiza grows vigorously in high temperatures and produces roots with a deep red color, there is no clear evidence or literature to confirm this. Therefore, this study investigated the growth and external quality of S. miltiorrhiza in response to different day and night temperature levels. Day and night temperature treatments were designed into four levels: 20/15, 24/19, 28/23, and 32/27°C, respectively. Among the parameters related to plant sizes, the shoot height and number of roots showed the highest values in the 32/27°C treatment, while other parameters, particularly the shoot width and root length exhibited the highest values in the 28/23°C treatment. In contrast, the majority of parameters, including the fresh weight and dry weight, which are indicative of root biomass, were lowest in the 20/15°C treatment, suggesting that S. miltiorrhiza, a species that prefers relatively high temperatures, thrives in warmer conditions. Importantly, the root fresh and dry weights, which are likely to be correlated with the market value of S. miltiorrhiza, showed the same significance levels within the temperature range of 24/19 -32/27°C, but not in the relatively low-temperature treatment of 20/15°C. Thus, cultivation of S. miltiorrhiza is deemed feasible within all temperature ranges except for 20/15°C, with optimal conditions falling within the temperature range of 24/19-32/27°C. The CIELAB a * value, associated with red color, was highest in the comprehensive assessment of the 32/27°C treatment. Moreover, in the 32/27°C treatment, the Royal Horticultural Society (RHS) color chart values were found to indicate a deep reddish or brown-red color, with readings of 166B and 174A. Additionally, the root color obtained the highest visual score in the 32/27°C treatment. Based on previous studies, a * is considered to be related to the content and quantities of tanshinones and other hydrophilic

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Classification of strawberry ripeness stages using machine learning algorithms and colour spaces

Karki,

Basak,

Paudel

et al. 2023

Hortic. Environ. Biotechnol.

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Classification of rose petal colors based on optical spectrum and pigment content analyses

Cited by 7 publications

References 48 publications

Influence of Suboptimal Temperature on Flower Quality and Floral Organ Development in Spray-Type Cut Rose ‘Pink Shine’

Influence of Suboptimal Temperature on Flower Quality and Floral Organ Development in Spray-Type Cut Rose ‘Pink Shine’

Experimental Control of Day and Night Temperatures to Improve the Growth and External Quality of Salvia miltiorrhiza Bunge

Classification of strawberry ripeness stages using machine learning algorithms and colour spaces

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