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Updated: Jul 19, 2025

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基于亲属信息的堆叠合集可以预测混合性能,其准确性与基于标记器的GBLUPUP相比

Philipp Georg Heilmann1, Matthias Frisch1, Amine Abbadi2

  • 1Institute of Agronomy and Plant Breeding II, Justus Liebig University, Gießen, Germany.

Frontiers in plant science
|August 7, 2023
PubMed
概括

机器学习,特别是堆叠的梯度增强机组,可以在不平衡的育种数据中改善混合性能预测. 这种方法,使用亲属信息,显示了提高植物育种计划的选择效率的希望.

关键词:
一般的组合能力的能力.基因组预测 基因组预测梯度增强可以提高梯度.杂交繁殖杂交繁殖 杂交繁殖繁殖混合预测混合预测机器学习是机器学习.特定的组合能力能力的特定组合能力.堆叠在一起的合奏.

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