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2022 Vol.31, Issue 2 Preview Page

Original Articles

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

Jung Su Jo1
,
Ha Seon Sim2
,
Soo Bin Jung2
,
Yu Hyun Moon2
,
Won Jun Jo2
,
Ui Jeong Woo2
,
Sung Kyeom Kim34*
조 정수1
,
심 하선2
,
정 수빈2
,
문 유현2
,
조 원준2
,
우 의정2
,
김 성겸34*
1Research Professor, Institute of Agricultural Science and Technology, Kyungpook National University, Daegu 41566, Korea
2Graduate Student, Department of Horticultural Science, College of Agricultural & Life Science, Kyungpook National University, Daegu 41566, Korea
3Professor, Department of Horticultural Science, College of Agricultural & Life Science, Kyungpook National University, Daegu 41566, Korea
4Professor, Institute of Agricultural Science and Technology, Kyungpook National University, Daegu 41566, Korea
1경북대학교 농업과학기술연구소 연구교수
2경북대학교 원예과학과 대학원생
3경북대학교 원예과학과 교수
4경북대학교 농업과학기술연구소 교수
*Corresponding Author
30 April 2022. pp. 98-103
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Abstract

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.

Keywords
leaf area estimation
non-destructive measurement
python

엽면적의 비파괴적 추정은 잎 절단에 의한 방법에 비해 간단하고 시간을 절약하므로 다양한 원예 작물에 대한 잎 면적 예측 모델이 개발되었습니다. 그러나 딸기 잎 면적 추정에 대한 연구는 제한적이다. 본 연구는 국내산 딸기 5품종(‘아리향’, ‘죽향’, ‘금실’, ‘매향’, ‘설향’)의 3복엽의 잎길이와 폭을 이용한 비선형회귀분석을 통해 잎면적을 예측하기 위해 수행되었다. 실제 잎 면적과 전개식을 통해 추정된 잎 면적의 관계에 대한 결정계수(R2)는 0.923에서 0.973까지 다양하였다. R2 값이 0.96 이상인 ‘죽향’, ‘설향’ 및 ‘매향’ 3 품종의 잎면적은 본 연구에서 개발한 모델을 사용하여 비파괴적으로 예측할 수 있습니다. 반면 묘의 상태가 좋지 못하고 과한 생장을 했던 ‘아리향’과 ‘금실’은 각각 0.938, 0.923으로 약간 낮은 R2 값을 보였다. 본 연구에서 개발한 품종별 잎 면적 추정 모델을 Python으로 코딩하여 본 논문에 첨부하였다. 개발된 추정 모델은 많은 딸기 관련 연구에 광범위하게 사용될 수 있습니다.

키워드
잎 면적 추정
비파괴적 측정
파이썬
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Information
  • Publisher :The Korean Society for Bio-Environment Control
  • Publisher(Ko) :(사)한국생물환경조절학회
  • Journal Title :Journal of Bio-Environment Control
  • Journal Title(Ko) :생물환경조절학회지
  • Volume : 31
  • No :2
  • Pages :98-103
  • Received Date : 2022-03-21
  • Revised Date : 2022-04-15
  • Accepted Date : 2022-04-21
  • DOI :https://doi.org/10.12791/KSBEC.2022.31.2.098
Journal Informaiton Journal of Bio-Environment Control Journal of Bio-Environment Control
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