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2022 Vol.40, Issue 2 Preview Page

Research Article

Bi-dimensional Image Analysis for the Phenotypic Evaluation of Russet in Asian Pear (Pyrus spp.)
Yumi Kim1†
,
Sewon Oh1†
,
Keumsun Kim12
,
Hae Won Jeong2
,
Daeil Kim1*
1Department of Horticulture, Chungbuk National University, Cheongju 28644, Korea
2Pear Research Station, National Institute of Horticultural & Herbal Science, Rural Development Administration, Naju 58216, Korea
*Corresponding Author
†These authors contributed equally to this work.
30 April 2022. pp. 192-198
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Abstract

Russet, one of the fruit skin colors of Asian pears, affects the fruit’s commercial value. A precise phenotyping method is required because fruit skin colors occur irregularly in various pear cultivars. Here, we propose a bi-dimensional image analysis to evaluate the russet of pear skin accurately and effectively by comparing the results of image analysis with the Hunter a value. The fruits of ‘Whangkeumbae’ (non-russet), ‘Minibae’ (russet), and their F1 individuals were used for russet evaluation. The Hunter a value was measured using a color-difference meter. The russet coverage (%) was calculated using Photoshop software. In F1 individuals derived from ‘Whangkeumbae’ × ‘Minibae’, the Hunter a value represented normal distribution, and the russet coverage distributed variously. The positive correlation coefficients between the Hunter a value and russet coverage was confirmed (r > 0.7). Although several F1 individuals showed abundant russet formation, they showed a negative Hunter a value. Therefore, the bi-dimensional image analysis more accurately evaluated russet in pear fruit skin than did the Hunter a value. The bi-dimensional image analysis could be used for high-throughput phenotyping in pears.

Keywords
fruit skin color
high-throughput
hunter’s value
methodology
phenotype
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Information
  • Publisher :KOREAN SOCIETY FOR HORTICULTURAL SCIENCE
  • Publisher(Ko) :원예과학기술지
  • Journal Title :Horticultural Science and Technology
  • Journal Title(Ko) :원예과학기술지
  • Volume : 40
  • No :2
  • Pages :192-198
  • Received Date : 2021-11-24
  • Revised Date : 2021-12-16
  • Accepted Date : 2022-01-03
  • DOI :https://doi.org/10.7235/HORT.20220018
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