793. Filling information gaps in swine crossbreeding schemes by imputing non-genotyped F1 animals to improve genetic gain
Author:
Affiliation:
1. University of Nebraska-Lincoln, 1400 R St, Lincoln NE 68588, USA.
2. Acuity, 7475 State Road 127, Carlyle, IL 62231, USA.
Publisher
Wageningen Academic Publishers
Link
https://www.wageningenacademic.com/doi/pdf/10.3920/978-90-8686-940-4_793
Reference6 articles.
1. Estimation of linkage disequilibrium in four US pig breeds
2. Imputation of non-genotyped sheep from the genotypes of their mates and resulting progeny
3. Review: optimizing genomic selection for crossbred performance by model improvement and data collection
4. Gaynor R.C.G., Gorjanc G., Wilson E., Money D., and Hickey J.M. (2019) AlphaSimR: Breeding Program Simulations. Available at: https://CRAN.R-project.org/package=AlphaSimR
5. Enlarging a training set for genomic selection by imputation of un-genotyped animals in populations of varying genetic architecture
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