• Title/Summary/Keyword: Arihyang

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'Arihyang', a Strawberry Variety with Highly Firm and Large-Sized Fruit for Forcing Culture (촉성재배용 고경도 대과성 딸기 품종 '아리향')

  • Kim, Dae-Young;Kim, Seung Yu;Huh, Yun-Chan;Yoon, Moo Kyung;Lee, Sun Yi;Moon, Ji-Hye;Kim, Dae Hyun
    • Korean Journal of Breeding Science
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    • v.50 no.4
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    • pp.497-503
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    • 2018
  • A strawberry variety 'Arihyang' was derived as an artificial cross between 'Tochiotome' and 'Seolhyang' in 2014. The seedling and line selections were conducted from 2014 to 2015. Preliminary and advanced yield trials of '14-5-5,' which was the final selected line, were conducted from 2015 to 2017. 'Arihyang' is suitable for forced cultivation and has strong plant vigor, uniformly large-sized fruit, and a high yield compared to those of the check variety, 'Seolhyang' and 'Maehyang.' Especially, vitamin C was at a significant level, which was approximately 15% higher than that of 'Seolhyang.' The average number of flowers per first flower cluster was 10.5, which could reduce the labor of thinning fruit. Its fruit has a conical shape, dark red color, and glossy skin. The fruit was of good quality but has recommendations for harvest at the fully ripened stage. 'Arihyang' has intermediate resistant to phytophthora crown rot, but is susceptible to powdery mildew, gray mold, anthracnose, and fusarium wilt. It is reguired to manage major diseases and pests using optimum cultivation techniques and chemical control.

Estimation and Validation of the Leaf Areas of Five June-bearing Strawberry (Fragaria × ananassa) Cultivars using Non-destructive Methods (일계성 딸기 5품종의 비파괴적 방법을 사용한 엽면적 추정 및 검증)

  • Jo, Jung Su;Sim, Ha Seon;Jung, Soo Bin;Moon, Yu Hyun;Jo, Won Jun;Woo, Ui Jeong;Kim, Sung Kyeom
    • Journal of Bio-Environment Control
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    • v.31 no.2
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    • pp.98-103
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    • 2022
  • Non-destructive estimation of leaf area is a more efficient and convenient method than leaf excision. Thus, several models predicting leaf area have been developed for various horticultural crops. However, there are limited studies on estimating the leaf area of strawberry plants. In this study, we predicted the leaf areas via nonlinear regression analysis using the leaf lengths and widths of three-compound leaves in five domestic strawberry cultivars ('Arihyang', 'Jukhyang', 'Keumsil', 'Maehyang', and 'Seollhyang'). The coefficient of determination (R2) between the actual and estimated leaf areas varied from 0.923 to 0.973. The R2 value varied for each cultivar; thus, leaf area estimation models must be developed for each cultivar. The leaf areas of the three cultivars 'Jukhyang', 'Seolhyang', and 'Maehyang' could be non-destructively predicted using the model developed in this study, as they had R2 values over 0.96. The cultivars 'Arihyang' and 'Geumsil' had slightly low R2 values, 0.938 and 0.923, respectively. The leaf area estimation model for each cultivar was coded in Python and is provided in this manuscript. The estimation models developed in this study could be used extensively in other strawberry-related studies.