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2024 Vol.33, Issue 4 Preview Page

Original Articles

Assessment of Drought Response in Kimchi Cabbage, Radish, and Lettuce Seedlings Using RGB Image Analysis

RGB 이미지 분석 방법을 이용한 배추, 무, 상추 유묘의 내건성 평가

Junho Lee1
,
Jinhee Kim1
,
Sangdeok Lee1
,
Gyu Hyeon Park2
,
Yoonah Jang34*
이 준호1
,
김 진희1
,
이 상덕1
,
박 규현2
,
장 윤아34*
1Researcher, Vegetable Research Division, National Institute of Horticultural and Herbal Science, Rural Development Administration, Wanju 55365, Korea
2Postdoctoral Researcher, Vegetable Research Division, National Institute of Horticultural and Herbal Science, Rural Development Administration, Wanju 55365, Korea
3Senior Researcher, Vegetable Research Division, National Institute of Horticultural and Herbal Science, Rural Development Administration, Wanju 55365, Korea
4Seconded Scientist, World Vegetable Center, Shanhua, Tainan 74151, Taiwan
1농촌진흥청 국립원예특작과학원 채소기초기반과 농업연구사
2농촌진흥청 국립원예특작과학원 채소기초기반과 박사후연구원
3농촌진흥청 국립원예특작과학원 채소기초기반과 농업연구관
4세계채소센터 상주연구원
*Corresponding Author
31 October 2024. pp. 189-199
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Abstract

This study aimed to compare traditional visual assessment methods with new approaches utilizing image processing technology to evaluate drought tolerance in Kimchi cabbage, radish, and lettuce seedlings. Traditional visual assessment was performed using a six-point scale (1 dead to 6 healthy) while RGB images were taken simultaneously to extract the green areas from the images and calculate the leaf area. The percentage of leaf area (PLA) was calculated during the drought stress treatment and recovery periods based on the leaf area at the start of the drought stress treatment. The first experiment involved 16 breeding lines of Kimchi cabbage seedlings subjected to a 7-day drought stress treatment followed by a 7-day recovery period with rewatering. Over a 14-day period, visual wilting scores and PLA were systematically recorded for Kimchi cabbage seedlings. A strong positive correlation between visual wilting scores and PLA was observed, validating PLA as a reliable indicator of drought stress. Additional experiments confirmed the robustness of this method across different crops, including radish and lettuce, despite some variability owing to environmental factors. Consequently, RGB image analysis provides objective, quantitative, and time-efficient measurements of drought response, thereby reducing the subjectivity and variability inherent in traditional methods.

Keywords
drought stress
high-throughput image analysis
percentage of leaf area
phenotyping
visual wilting score

이 연구는 배추, 무, 상추 유묘의 내건성 평가를 위해 기존의 시각적 평가 방법과 이미지 처리 기술을 활용한 새로운 접근 방식을 비교하는 것을 목표로 하였다. 기존의 시각적 평가는 6점 척도(1 고사, 6 정상)를 사용하여 수행하였으며, 동시에 RGB 이미지를 촬영하여 이미지에서 녹색 부분을 추출하고 해당 부분의 픽섹 값을 계산하여 잎 면적을 구하였다. 건조 처리 시작 시점의 잎 면적을 기준으로 건조 처기 기간과 재관수 후 회복 기간 동안의 잎 면적 비율(percentage of leaf area, PLA)를 구하였다. 첫번째 실험에서는 4주간 육묘한 배추 육성자원 유묘를 이용하여 7일간의 건조 처리와 재관수 후 7일간의 회복 기간을 가졌다. 14일간의 처리기간 동안 배추 유묘의 시각적 시각적 시들음 점수와 PLA 값을 비교하였을 때, 두 지표 간에 강한 양의 상관관계를 확인하여 PLA가 건조 스트레스 평가의 지표로 이용될 수 있음을 확인하였다. 추가 실험을 통해 무, 상추 등 다양한 작물에서도 PLA 의 적용 가능성을 확인하였으며, 환경 요인으로 인한 일부 변동성에도 불구하고 일관된 경향을 보였다. 결론적으로, RGB 이미지 분석을 통해 내건성 평가시 기존의 시각적 평가 방법의 주관성과 변동성을 줄이고, 객관적이고 정량적인 평가와 평가를 위한 시간과 노력을 줄일 수 있을 것으로 기대된다.

키워드
고속 대량 이미지 분석
건조 스트레스
시들음 육안 평가값
엽면적 비율
표현형 분석
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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 : 33
  • No :4
  • Pages :189-199
  • Received Date : 2024-07-05
  • Revised Date : 2024-08-29
  • Accepted Date : 2024-09-09
  • DOI :https://doi.org/10.12791/KSBEC.2024.33.4.189
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