Machine learning assisted dynamic phenotypes and genomic variants help understand the ecotype divergence in rapeseed

Hui Feng1, Chaocheng Guo1, Zongyi Li1

  • 1National Key Laboratory of Crop Genetic Improvement, National Center of Plant Gene Research (Wuhan), Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, China.

Summary

Rapeseed ecotype divergence is linked to dynamic plant architecture during vegetative growth. Genetic differentiation in these traits provides insights into adaptation and potential yield improvements.

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