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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... ... |
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... ... |
Author(s): CARVALHO, J. R. P. de; MONTEIRO, J. E. B. de A.; NAKAI, A. M.; ASSAD, E. D. Modeling by multiple enchained imputation is an area of growing importance. However, its models and methods are frequently developed for specific applications. In this study the model for multiple imp... ... |
Author(s): PEREIRA, F. R. da S.; REIS, A. A. dos; FREITAS, R. G.; OLIVEIRA, S. R. de M.; AMARAL, L. R. do; FIGUEIREDO, G. K. D. A.; ANTUNES, J. F. G.; LAMPARELLI, R. A. C.; MORO, E.; MAGALHÃES, P. S. G. In this study, we propose a methodological framework to impute missing parts of UAV orthomosaics using PlanetScope (PS) and Sentinel-2 (S2) data and the random forest (RF) algorithm of an integrated c... ... |
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.
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Author(s): CHUD, T. C. S.; VENTURA, R. V.; SCHENKEL, F. S.; CARVALHEIRO, R.; BUZANSKAS, M. E.; ROSA, J. O.; MUDADU, M. de A.; SILVA, M. V. G. B.; MOKRY, F. B.; MARCONDES, C. R.; REGITANO, L. C. de A.; MUNARI, D. P. Genotype imputation has been used to increase genomic information, allow more animals in genome-wide analyses, and reduce genotyping costs. In Brazilian beef cattle production, many animals are result... ... |
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.
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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... ... |
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... ... |
Author(s): PICCOLI, M. L.; BRITO, L. F.; BRACCINI, J.; CARDOSO, F. F.; SARGOLZAEI, M.; SCHENKEL, F. S. Genomic selection (GS) has played an important role in cattle breeding programs. However, genotyping prices are still a challenge for implementation of GS in beef cattle and there is still a lack of i... ... |
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