Genetic architecture and predictive modeling of heading date in japonica rice cultivarsOA
Genetic architecture and predictive modeling of heading date in japonica rice cultivars
Seung Young Lee;Hyun-Sook Lee;Ji-Ung Jeung;Youngjun Mo
National Institute of Crop and Food Science,Rural Development Administration,Wanju 55365,the Republic of KoreaNational Institute of Crop and Food Science,Rural Development Administration,Wanju 55365,the Republic of KoreaNational Institute of Crop and Food Science,Rural Development Administration,Wanju 55365,the Republic of KoreaDepartment of Crop Science and Biotechnology,Jeonbuk National University,Jeonju 54896,the Republic of Korea||Department of AI in Agriculture,Jeonbuk National University,Jeonju 54896,the Republic of Korea
AdaptationFlowering timeGWASRegularized regression
AdaptationFlowering timeGWASRegularized regression
《作物学报（英文版）》 2026 (3)
885-895,11
This work was supported by the Rural Development Adminis-tration(RDA)of Republic of Korea(PJ016997(RS-2022-RD010220))and 2025 the RDA Fellowship Program of the National Institute of Crop and Food Science,Rural Development Administra-tion,Republic of Korea.
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