Using pooled data for genomic prediction in a bivariate framework with missing data
Author:
Affiliation:
1. Department of Animal Science University of Nebraska‐Lincoln Lincoln Nebraska USA
2. Department of Statistics University of Nebraska‐Lincoln Lincoln Nebraska USA
3. USDA, ARS U.S. Meat Animal Research Center Clay Center Nebraska USA
Publisher
Wiley
Subject
Animal Science and Zoology,Food Animals,General Medicine
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1111/jbg.12727
Reference26 articles.
1. Pooled genotyping strategies for the rapid construction of genomic reference populations1
2. In silico validation of pooled genotyping strategies for genomic evaluation in Angus cattle
3. The impact of clustering methods for cross-validation, choice of phenotypes, and genotyping strategies on the accuracy of genomic predictions
4. Genomic prediction using pooled data in a single-step genomic best linear unbiased prediction framework
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1. Combining genomics and semen microbiome increases the accuracy of predicting bull prolificacy;Journal of Animal Breeding and Genetics;2024-09-04
2. Pooled DNA sequencing in hairy vetch (Vicia villosa Roth) reveals QTL for seed dormancy but not pod dehiscence;Frontiers in Plant Science;2024-04-04
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