Abstract
References
Information
KMA (Korea Meteorological Administration). 2023. Weather observation using automated synoptic observation system. https://data.kma.go.kr/cmmn/main.do (Last accessed on Dec. 20. 2023).
KOSIS (Korean Statistical Information Service). 2023. Crop production survey in poduction of legumes. https://kosis.kr/statHtml/statHtml.do?orgId=101&tblId=DT_1ET0025&conn_path=I2 (Last accessed on Dec. 27. 2023).
Schoving, C., C. O. Stöckle, C. Colombet, L. Champolivier, P. Debaeke, and P. Maury. 2020. Combining simple phenotyping and photothermal algorithm for the prediction of soybean phenology: Application to a range of common cultivars grown in Europe. Frontiers in Plant Science. 10 : 1755.
10.3389/fpls.2019.0175532063913PMC7000526
Wei, J., X. Liu, L. Li, H. Zhao, S. Liu, X. Yu, Y. Shen, Y. Zhou, Y. Zhu, Y. Shu, and H. Ma. 2020. Quantitative proteomic, physiological and biochemical analysis of cotyledon, embryo, leaf and pod reveals the effects of high temperature and humidity stress on seed vigor formation in soybean. BMC Plant Biology. 20 : 1-15.
10.1186/s12870-020-02335-132216758PMC7098090
- Publisher :The Korean Society of Crop Science
- Publisher(Ko) :한국작물학회
- Journal Title :The Korean Journal of Crop Science
- Journal Title(Ko) :한국작물학회지
- Volume : 69
- No :1
- Pages :61-69
- Received Date : 2024-02-14
- Revised Date : 2024-02-23
- Accepted Date : 2024-02-26
- DOI :https://doi.org/10.7740/kjcs.2024.69.1.061