[HTML][HTML] Strategies for single nucleotide polymorphism (SNP) genotyping to enhance genotype imputation in Gyr (Bos indicus) dairy cattle: Comparison of …

SA Boison, DJA Santos, AHT Utsunomiya… - Journal of Dairy …, 2015 - Elsevier
Genotype imputation is widely used as a cost-effective strategy in genomic evaluation of
cattle. Key determinants of imputation accuracies, such as linkage disequilibrium patterns …

[HTML][HTML] Genotype imputation in a tropical crossbred dairy cattle population

GAO Júnior, TCS Chud, RV Ventura, DJ Garrick… - Journal of dairy …, 2017 - Elsevier
The objective of this study was to investigate different strategies for genotype imputation in a
population of crossbred Girolando (Gyr× Holstein) dairy cattle. The data set consisted of 478 …

[HTML][HTML] Imputation of single nucleotide polymorphism genotypes in ungenotyped sport horses from the genotypes of their progeny

JL Doyle, S Egan, DP Berry - animal, 2024 - Elsevier
Many sport horse studbooks worldwide use microsatellite markers for parentage verification.
However, many have expressed a desire to introduce genomic selection using genome …

Imputation of non-genotyped sheep from the genotypes of their mates and resulting progeny

DP Berry, N McHugh, S Randles, E Wall, K McDermott… - animal, 2018 - cambridge.org
Accurate genomic analyses are predicated on access to a large quantity of accurately
genotyped and phenotyped animals. Because the cost of genotyping is often less than the …

Fine mapping of genomic regions associated with female fertility in Nellore beef cattle based on sequence variants from segregating sires

GA Oliveira Júnior, DJA Santos, ASM Cesar… - Journal of Animal …, 2019 - Springer
Background Impaired fertility in cattle limits the efficiency of livestock production systems.
Unraveling the genetic architecture of fertility traits would facilitate their improvement by …

[HTML][HTML] Evaluation of imputed genomic data in discrete traits using Random forest and Bayesian threshold methods

S Sadeghi, SA Rafat, S Alijani - Acta Scientiarum. Animal Sciences, 2018 - SciELO Brasil
The objectives of this study were (1) to quantify imputation accuracy and to assess the
factors affecting it; and (2) to evaluate the accuracy of threshold BayesA (TBA), Bayesian …

Imputation of non-genotyped F1 dams to improve genetic gain in swine crossbreeding programs

GM See, JS Fix, CR Schwab… - Journal of Animal …, 2022 - academic.oup.com
This study investigated using imputed genotypes from non-genotyped animals which were
not in the pedigree for the purpose of genetic selection and improving genetic gain for …

Evaluation of genomic prediction accuracy in different genomic architectures of quantitative and threshold traits with the imputation of simulated genomic data using …

Y Naderi - Research on Animal Production, 2018 - rap.sanru.ac.ir
Genomic selection is a promising challenge for discovering genetic variants influencing
quantitative and threshold traits for improving the genetic gain and accuracy of genomic …

[HTML][HTML] Imputation of markers on the bovine X chromosome

X Mao, AM Johansson, G Sahana… - Journal of Dairy …, 2016 - Elsevier
Imputation is a cost-effective approach to augment marker data for genomic selection and
genome-wide association studies. However, most imputation studies have focused on …

[PDF][PDF] Assessment of genomic prediction accuracy of discrete traits with imputation of missing genotypes.

Y Naderi, S Sadeghi - 2019 - igbzpan.pl
Genomic selection as a promising tool for discovering genetic variants influencing complex
traits, along with genotype imputation has an important role in increasing economic …