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Assessment of genomic prediction accuracy using different selection and evaluation approaches in a simulated Korean beef cattle population.
Animal Bioscience ( IF 2.4 ) Pub Date : 2020-06-24 , DOI: 10.5713/ajas.20.0217
Chiemela Peter Nwogwugwu 1 , Yeongkuk Kim 1 , Hyunji Choi 1 , Jun Heon Lee 1 , Seung-Hwan Lee 1
Affiliation  

This study assessed genomic prediction accuracies based on different selection methods, evaluation procedures, training population (TP) sizes, heritability (h2) levels, marker densities and pedigree error (PE) rates in a simulated Korean beef cattle population.

中文翻译:


在模拟的韩国肉牛种群中使用不同的选择和评估方法评估基因组预测的准确性。



本研究根据模拟韩国肉牛种群中的不同选择方法、评估程序、训练群体 (TP) 规模、遗传力 (h2) 水平、标记密度和谱系错误 (PE) 率评估基因组预测准确性。
更新日期:2020-08-24
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