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基于种子表型和加速育种潜力的玉米种子活力的非破坏性检测策略

Keling Tu1, Shaozhe Wen2, Yanan Xu3

  • 1College of Agronomy and Biotechnology, China Agricultural University/ The Innovation Center (Beijing) of Crop Seeds Whole-Process Technology Research of Ministry of Agriculture and Rural Affairs/ Beijing Key Laboratory of Crop Genetic Improvement, Beijing 100193, China; Jiangsu Key Laboratory of Crop Genetics and Physiology/ Key Laboratory of Plant Functional Genomics of the Ministry of Education/ Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding (Agricultural College of Yangzhou University), Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops, Yangzhou University, Yangzhou 225009, China.

Journal of advanced research
|December 26, 2024
PubMed
概括

这项研究开发了一种非破坏性机器视觉方法,以准确评估玉米种子活力. 该模型识别了与发芽相关的关键特征,有助于培育优越的高活力玉米品种.

关键词:
基因分析 基因分析机器学习 机器学习玉米种子的生机活力.代谢概况分析是指代谢概况分析.非破坏性测试是指非破坏性测试.类型特征 类型特征 类型特征

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