작물 표현체 플랫폼 기반 벼 이미지 분석 조건 확립

• 영문명: Determination of the Conditions for Image Analysis of Rice Based on a Crop Phenomic Platform
• 발행기관: 한국육종학회
• 저자명: 이채원(Chaewon Lee) 최인찬(Inchan Choi) 이홍석(Hongseok Lee) 김년희(Nyunhee Kim) 안은숙(Eunsook An) 김송림(Song Lim Kim) 백정호(Jeongho Baek) 지현소(Hyeonso Ji) 윤인선(In-Sun Yoon) 김경환(Kyung-Hwan Kim)
• 간행물 정보: 『한국육종학회지』Vol.53 No.4, 450~457쪽, 전체 8쪽
• 주제분류: 농수해양 > 기타농수해양
• 파일형태: PDF
• 발행일자: 2021.12.01

영문 초록

Fast and accurate selection is essential for breeding to cope with rapid climate changes and a steeply increasing population. Consequently, technologies for high-throughput phenotyping (HTP) are emerging. These technologies, unlike conventional phenotyping methods,enable us to evaluate agronomic traits in a fast and massive manner. Thus, the HTP facility was built to acquire and analyze crop imagesusing RGB sensors at the National Institute of Agricultural Sciences, Republic of Korea. By testing various conditions to acquire images,we determined the conditions for phenotyping using the RGB sensor as follows: exposure 30,000 ms, gamma 75, and gain 100 using LEDlights in a blue background. Based on this condition, images from 96 individual plants of rice Dongjin cultivar were obtained every weekto measure plant height and shoot area, which are directly associated with yield. The results obtained from the image analysis were comparedwith the manually collected results. The r2 value between the projected plant height obtained from image analysis and the plant height obtainedfrom manual measurement was 0.989. Furthermore, the r2 value between the projected shoot area obtained from image analysis and the shootarea obtained from manual measurement was 0.981. These results show that image analysis is highly reliable and can be used for crop phenotyping. Therefore, we expect that the new method we developed will be used for breeding in the near future.

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high throughput phenotyping (HTP) image analysis rice