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使用从猪的全基因组序列数据中预选标记物的多线 ssGBLUP 评估

Sungbong Jang1, Roger Ros-Freixedes2, John M Hickey3

  • 1Department of Animal and Dairy Science, University of Georgia, Athens, GA, United States.

Frontiers in genetics
|May 30, 2023
PubMed
概括

使用全基因组测序 (WGS) 数据对猪的多线基因组评估 (MLE) 对预测准确性的好处有限. 考虑到几何系之间的遗传差异对于可比结果至关重要,但预先选择的变体并没有显著提高性能.

关键词:
标记器预选 预选 标记器预选超级创始人 超级创始人多线路评估多线路评估ssGBLUPUP 是一个不知名的母组未知母组全基因组序列数据的数据.

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