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 Author(s): REIMANN, F. A.; CAMPOS, G. S.; JUNQUEIRA, V. S.; COMIN, H. B.; SOLLERO, B. P.; CARDOSO, L. L.; COSTA, R. F. da; BOLIGON, A. A.; YOKOO, M. J. I.; CARDOSO, F. F. This study utilized Bayesian inference in a genome-wide association study (GWAS) to identify genetic markers associated with traits relevant to the adap- tation of Hereford and Braford cattle breeds.... ... |
 Author(s): LIMA, L. P.; AZEVEDO, C. F.; RESENDE, M. D. V. de; NASCIMENTO, M.; SILVA, F. F. e The development of efficient methods for genome-wide association studies (GWAS) between quantitative trait loci (QTL) and genetic values is extremely important to animal and plant breeding programs. B... ... |
 Author(s): OLIVEIRA, T. R. A. de; CARVALHO, H. W. L. de; NASCIMENTO, M.; COSTA, E. F. N.; AMARAL JUNIOR, A. T. do; GRAVINA, G. de A.; CARVALHO FILHO, J. L. S. de
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 Author(s): SOLLERO, B. P.; JUNQUEIRA, V. S.; GULIAS GOMES, C. C.; CAETANO, A. R.; CARDOSO, F. F. Cattle resistance to ticks is known to be under genetic control with a complex biological mechanism within and among breeds. Our aim was to identify genomic segments and tag single nucleotide polymorp... ... |
 Author(s): AZEVEDO, C. F.; RESENDE, M. D. V. de; SILVA, F. F. e; VIANA, J. M. S.; VALENTE, M. S. F.; RESENDE JUNIOR, M. F. R.; MUÑOZ, P. Background: A complete approach for genome-wide selection (GWS) involves reliable statistical genetics models and methods. Reports on this topic are common for additive genetic models but not for addi... ... |
 Author(s): KERN, E. L.; COBUCI, J. A.; COSTA, C. N.; BRACCINI NETO, J.; CAMPOS, G. S.; MCMANUS, C. M. The aim in this study was to estimate variance components and heritability of different longevity measures related to productive life and survival at a specified age, using linear and threshold models... ... |
 Author(s): KERN, E. L.; COBUCI, J. A.; COSTA, C. N.; MCMANUS, C. M.; CAMPOS, G. S.; ALMEIDA, T. P.; CAMPOS, R. V.
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 Author(s): EVANGELISTA, J. S. P. C.; PEIXOTO, M. A.; COELHO, I.; ALVES, R.; RESENDE, M. D. V. de; SILVA, F. F. e; LAVIOLA, B.; BHERING, L. L. An accurate and efficient statistical method for genetic evaluation is a key requirement for progress in any breeding program. Thus, the present study aimed to evaluate the performance of Frequentist... ... |
 Author(s): AZEVEDO, C. F.; FERRÃO, L. F. V.; BENEVENUTO, J.; RESENDE, M. D. V. de; NASCIMENTO, M.; NASCIMENTO, A. C. C.; MUNOZ, P. R. An approach for handling visual scores with potential errors and subjectivity in scores was evaluated in simulated and blueberry recurrent selection breeding schemes to assist breeders in their decisi... ... |
 Author(s): VOLPATO, L.; ALVES, R. S.; TEODORO, P. E.; RESENDE, M. D. V. de; NASCIMENTO, M.; NASCIMENTO, A. C. C.; LUDKE, W. H.; SILVA, F. L. da; BORÉM, A. At present, single-trait best linear unbiased prediction (BLUP) is the standard method for genetic selection in soybean. However, when genetic selection is performed based on two or more genetically c... ... |
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