Impact of Marker Pruning Strategies Based on Different Measurements of Marker Distance on Genomic Prediction in Dairy Cattle

Impact of Marker Pruning Strategies Based on Different Measurements of Marker Distance on Genomic Prediction in Dairy Cattle

With the availability of high-density single-nucleotide polymorphism (SNP) data and the development of genotype imputation methods, high-density panel-based genomic prediction (GP) has become possible in livestock breeding. It is generally considered that the genomic estimated breeding value (GEBV)...

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Bibliographic Details
Main Authors: Duanyang Ren, Jinyan Teng, Shuqi Diao, Qing Lin, Jiaqi Li, Zhe Zhang
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Animals
Subjects:
genomic prediction
marker density
genetic distance
physical distance
Holstein dairy cattle
high-density SNP data
Online Access:https://www.mdpi.com/2076-2615/11/7/1992

Internet

https://www.mdpi.com/2076-2615/11/7/1992

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