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Author(s): CHUD, T. C. S.; VENTURA, R. V.; SCHENKEL. F. S.; URBINATI, I.; CARVALHEIRO, R.; REGITANO, L. C. de A.; MARCONDES, C. R.; MINARI, D. P.

Repository: BDPA     Publication year: 2013

Author(s): PICCOLI, M. L.; BRACINNI NETO, J.; CARDOSO, F. F.; SARGOLZAEI, M.; SCHENKEL, F. S.

The main objective of this research was to test alternative low density SNP panels to impute Illumina 50K SNP panel genotypes in Braford and Hereford cattle. Genotypes from 3,768 Hereford, Braford and... ...

Repository: BDPA     Publication year: 2014

Author(s): BERNARDES; NASCIMENTO, G. B. do; SAVEGNAGO, R. P.; BUZANSKAS, M. E.; WATANABE, R. N.; REGITANO, L. C. de A.; COUTINHO, L. L.; GONDRO, C.; MUNARI, D. P.

this study compared imputation from lower-density commercial and customized panels to high-density panels and a combined panel (Illumina and Affymetrix) in Nelore beef cattle. Additionally, linkage di... ...

Repository: BDPA     Publication year: 2019

Author(s): SILVA, F. de L.; ROSA, A. do N.; SIQUEIRA, F.; MUDADU, M. de A.; REGITANO, L. C. de A.; MOURÃO, G. B.; ROSA, G. J. M.

Genome wide-association studies (GWAS) generally require large numbers of individuals that are both phenotyped and desenly genotyped for markers across the genome.

Repository: BDPA     Publication year: 2013

Author(s): PICCOLI, M. L.; BRACCINI, J. B.; CARDOSO, F. F.; SARGOLZAEI, M.; LARMER, S. G.; SCHENKEL, F. S.

Repository: BDPA     Publication year: 2014

Author(s): SILVA, A. A.; SILVA, F. F.; SILVA, D. A.; SILVA, H. T.; COSTA, C. N.; LOPES, P. S.; VERONEZE, R.; THOMPSON, G.; CARVALHEIRA, J.

Although several studies have investigated the factors affecting imputation accuracy, most of these studies involved a large number of genotyped animals. Thus, results from these studies cannot be dir... ...

Repository: BDPA     Publication year: 2019

Author(s): BOISON, S. A.; SANTOS, D. J. A.; UTSONOMIYA, A. H. T.; CARVALHEIRO, R.; NEVES, H. H. R.; O'BRIEN, A. M. P.; GARCIA, J. F.; SÖLKNER, J.; SILVA, M. V. G. B.

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, marker densities, a... ...

Repository: BDPA     Publication year: 2015

Author(s): BOISON, S. A.; SANTOS, D. J. A. dos; GARCIA, J. F.; SÖLKNER, J.; PEIXOTO, M. G. C. D.; SILVA, M. V. G. B.

Repository: BDPA     Publication year: 2014

Author(s): CAMPOS, G. S.; CARDOSO, F. F.; GULIAS GOMES, C. C.; DOMINGUES, R.; REGITANO, L. C. de A.; OLIVEIRA, M. C. de S.; OLIVEIRA, H. N. DE; CARVALHEIRO, R.; ALBUQUERQUE, L. G.; MILLER, S.; MISTZAL, I.; LOURENCO, D.

Genomic prediction has become the new standard for genetic improvement programs, and currently, there is a desire to implement this technology for the evaluation of Angus cattle in Brazil. Thus, the m... ...

Repository: BDPA     Publication year: 2022

Author(s): OLIVEIRA, A. A. de; GUIMARAES, L. J. M.; GUIMARÃES, C. T.; GUIMARAES, P. E. de O.; PINTO, M. de O.; PASTINA, M. M.; MARGARIDO, G. R. A.

Genotyping-by-sequencing (GBS) datasets typically feature high rates of missingness and heterozygote undercalling, prompting the use of data imputation. We compared the accuracy of four imputation met... ...

Repository: BDPA     Publication year: 2020

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