绘制PHS耐药性的QTL和开发深度学习模型来测量日本大米的PHS率

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Updated: Sep 9, 2025

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Soojin Jun1,2, Mi Hyun Cho1, Hyoja Oh1

  • 1Department of Agricultural Biotechnology, National Institute of Agricultural Sciences, Jeonju, Republic of Korea.

The plant genome
|August 30, 2025
PubMed
概括

研究人员开发了一种深度学习模型,以准确测量大米的收获前发芽 (PHS). 这种工具与已识别的定量特征基点 (QTL) 一起,将加速对PHS耐药的日本大米品种的育种.

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