C
Chuanyu Sun
Researcher at Aarhus University
Publications - 17
Citations - 614
Chuanyu Sun is an academic researcher from Aarhus University. The author has contributed to research in topics: Imputation (genetics) & Sire. The author has an hindex of 11, co-authored 16 publications receiving 525 citations. Previous affiliations of Chuanyu Sun include China Agricultural University & University of Wisconsin-Madison.
Papers
More filters
Journal ArticleDOI
Cattle sex-specific recombination and genetic control from a large pedigree analysis.
Li Ma,Jeffrey R. O'Connell,Paul M. VanRaden,Botong Shen,Abinash Padhi,Chuanyu Sun,Derek M. Bickhart,John B. Cole,Daniel J. Null,George E. Liu,Yang Da,G.R. Wiggans +11 more
TL;DR: In this paper, a large USDA dairy cattle pedigree with over half a million genotyped animals, extracted 186,927 three-generation families, identified over 8.5 million maternal and paternal recombination events and constructed sex-specific recombination maps for 59,309 autosomal SNPs.
Journal ArticleDOI
Improvement of Prediction Ability for Genomic Selection of Dairy Cattle by Including Dominance Effects
TL;DR: For yield traits, including additive and dominance effects fit the data better than including only additive effects; average correlations between estimated genetic effects and phenotypes showed that prediction accuracy increased when both effects rather than just additive effects were included.
Journal ArticleDOI
Mating programs including genomic relationships and dominance effects
TL;DR: Investigation of differences in sire selection, methods of assigning mates, the use of genomic or pedigree relationships, and the effect of including dominance effects in a mating program found better service is possible by incorporating genomic relationships, more precise mate allocation, and dominance effects.
Journal ArticleDOI
Fast imputation using medium or low-coverage sequence data
TL;DR: For example, findhap (version 4) as discussed by the authors was used for genotype calling from low-coverage sequence data and imputation from array genotypes of various densities.
Journal ArticleDOI
Improvement in genetic evaluation of female fertility in dairy cattle using multiple-trait models including milk production traits.
TL;DR: The results suggested that genetic evaluation of fertility traits would be improved using a multiple-trait model including MILK or PROT, which were similar to the model including all 3 milk production traits and better than themodel including FAT.