이미지 기반 유전자원 디지털화: 한계와 극복

• 영문명: Image-Based Digitalization of Germplasm Stock: Overcoming its limitations
• 발행기관: 한국육종학회
• 저자명: 유주경(Ju-Kyung Yu) 정용석(Yong Suk Chung)
• 간행물 정보: 『한국육종학회지』Vol.56 No.3, 293~300쪽, 전체 8쪽
• 주제분류: 농수해양 > 기타농수해양
• 파일형태: PDF
• 발행일자: 2024.09.01

국문 초록

Image-based digitalization of germplasm stock holds significant promise for acceleratingplant breeding and crop improvement. This technology facilitates efficientgermplasm characterization, evaluation, and management through the capture and analysisof visual phenotypes. However, widespread adoption is hindered by challenges that includeimage quality control, data analysis complexity, and phenotypic representationlimitations. This study investigated these constraints and proposed strategies to addressthem. By managing technical challenges, refining phenotypic data extraction, and developingrobust data analysis pipelines, researchers can fully leverage image-based digitalizationto enhance germplasm utilization and contribute to sustainable agriculture.

목차

Introduction

Limitations

Conclusion

Acknowledgment

References

키워드

Image analysis digitalization phenotyping high-throughput genetic resources