• Title/Summary/Keyword: Freesia

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A Lemon Double Multi-flowering Freesia, 'Shiny Lemon' with Early Flowering and High Yield for Cut Flower (연황색 겹꽃 다화성 절화용 프리지아 신품종 'Shiny Lemon' 육성)

  • Cho, Hae Ryong;Rhee, Hye Kyung;Lim, Jin Hee;Kim, Mi Sun;Park, Sang Kun
    • Korean Journal of Breeding Science
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    • v.42 no.3
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    • pp.248-251
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    • 2010
  • A lemon double freesia (Freesia hybrida Hort.), 'Shiny Lemon' was developed from a cross between the domestic breeding lines ('Golden Crown' and 'White Wings') and 'Yvonne' followed by seedling and line selections at the National Institute of Horticultural and Herbal Science, Rural Development Administration (RDA) in 2007. Growth and flowering characteristic tests were conducted from 2003 to 2006. 'Shiny Lemon' has large double type flower with lemon color (RHS Y13D). It has multiple florets, good flower shape, and upright leaves and stalks. The average cut flower yield of 'Shiny Lemon' was 7.1 cuttings per plant in the greenhouse from 2005 to 2007. Additionally, it has good production of cormlets and vigorous growth. 'Shiny Lemon' could be cultured under greenhouse conditions in Korea.

A Dark Pink Freesia 'Happy Birthday' with Semi-Double Multi-flowering (진분홍색 반겹꽃 다화성 프리지아 신품종 '해피버스데이' 육성)

  • Cho, Hae-Ryong;Rhee, Hye-Kyung;Kim, Mi-Seon;Park, Sang-Kun;Shin, Hak-Ki;Joung, Hyang-Young;Lim, Jin-Hee
    • Korean Journal of Breeding Science
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    • v.43 no.3
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    • pp.210-213
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    • 2011
  • A dark pink semi-double freesia (Freesia hybrida Hort.) 'Happy Birthday' was bred from a cross between 'Pink Jewel', F1 progeny of 'Michelle' and 'Rossini' as a female and 'White Lace' as a male parent. Test for the growth vigor and flowering characteristic were conducted from 2002 to 2007. A new variety 'Happy Birthday' has semi-double flower type with dark pink color (RHS color chart #RP66C). It has multiple flowers, distinctive flower shape, upright leaves and also stalks. The average yield of this variety 'Happy Birthday' counted over 6.7 stems per plant per season in the standard greenhouse cultivation method. It has also good production of cormlets, vigorous growth. A new variety 'Happy Birthday' is suitable for the greenhouse conditions during winter season in Korea.

Relationship between Discoloration and Flower Pigment after Pressing in Yellow-Colored Flowers (황색 꽃의 압화 후 변색과 화색소와의 관련성)

  • Byun, Mi Soon;Cho, Eun Jeong;Kim, Kiu Weon
    • FLOWER RESEARCH JOURNAL
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    • v.16 no.1
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    • pp.76-84
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    • 2008
  • This study was conducted to find out the cause of discoloration after pressing yellow-colored flowers. Plant materials used were Lilium Asiatic Hybrids, Oncidium spp., Rosa hybrida, $Tulipa{\times}gesneriana$, Antirrhinum majus, Dianthus caryophyllus, Freesia hybrida, Zantedeschia elliottiana, Gerbera jamesonii, Helianthus annuus, and Ranunculus asiaticus. Thickness, ratio of length to width, and water content of petals did not considerably affect discoloration of pressed flowers. Expression of yellow color in petals was caused by carotenoids in Lilium Asiatic Hybrids, Oncidium spp., Rosa hybrida and $Tulipa{\times}gesneriana$, by flavonoids in Antirrhinum majus, Dianthus caryophyllus, Freesia hybrida and Zantedeschia elliottiana, and by coexistence of carotenoids and flavonoids in Gerbera jamesonii, Helianthus annuus and Ranunculus asiaticus. Carotenoids that expressed yellow color in petals affected significantly on discoloration in pressed flowers containing carotenoids alone or both carotenoids and flavonoids. However, discoloration was hardly ever found in yellow-colored species as affected by flavonoids. Dark treatment was effective for almost perfect preservation in color of pressed flowers, while light treatment resulted in severe discoloration.

A Trend Analysis of Floral Products and Services Using Big Data of Social Networking Services

  • Park, Sin Young;Oh, Wook
    • Journal of People, Plants, and Environment
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    • v.22 no.5
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    • pp.455-466
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    • 2019
  • This study was carried out to analyze trends in floral products and services through the big data analysis of various social networking services (SNSs) and then to provide objective marketing directions for the floricultural industry. To analyze the big data of SNSs, we used four analytical methods: Cotton Trend (Social Matrix), Naver Big Data Lab, Instagram Big Data Analysis, and YouTube Big Data Analysis. The results of the big data analysis showed that SNS users paid positive attention to flower one-day classes that can satisfy their needs for direct experiences. Consumers of floral products and services had their favorite designs in mind and purchased floral products very actively. The demand for flower items such as bouquets, wreaths, flower baskets, large bouquets, orchids, flower boxes, wedding bouquets, and potted plants was very high, and cut flowers such as roses, tulips, and freesia were most popular as of June 1, 2019. By gender of consumers, females (68%) purchased more flower products through SNSs than males (32%). Consumers preferred mobile devices (90%) for online access compared to personal computers (PCs; 10%) and frequently searched flower-related words from February to May for the past three years from 2016 to 2018. In the aspect of design, they preferred natural style to formal style. In conclusion, future marketing activities in the floricultural industry need to be focused on social networks based on the results of big data analysis of popular SNSs. Florists need to provide consumers with the floricultural products and services that meet the trends and to blend them with their own sensitivity. It is also needed to select SNS media suitable for each gender and age group and to apply effective marketing methods to each target.