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Authorship: 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... ... |
Authorship: JUNQUEIRA, V. S.; LOPES, P. S.; LOURENCO, D.; SILVA, F. F. e; CARDOSO, F. F. Pedigree information is incomplete by nature and commonly not well-established because many of the genetic ties are not known a priori or can be wrong. The genomic era brought new opportunities to ass... ... |
Authorship: AGUILAR, I.; LEGARRA, A.; CARDOSO, F. F.; MASUDA, Y.; LOURENCO, D.; MISZTAL, I. Background: Single-step genomic best linear unbiased prediction (SSGBLUP) is a comprehensive method for genomic prediction. Point estimates of marker effects from SSGBLUP are often used for genome-wid... ... |
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