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 Authorship: ALCÂNTARA, B. de S.; TEIXEIRA, F. F.; SIMIQUELI, G. F.; GRATTAPAGLIA, D.
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 Authorship: SIMIQUELI, G. F.; RESENDE, R. T.; RESENDE, M. D. V. de Genetic gain followed by loss of diversity is not ideal in breeding programs for several species, and most studies face this problem for single traits. Thus, we propose a selection method based on Gen... ... |
 Authorship: MIRANDA, T. L. R.; RESENDE, M. D. V. de; AZEVEDO, C. F.; NUNES, A. C. P.; TAKAHASHI, E. K.; SIMIQUELI, G. F.; SILVA, F. F. e; ALVES, R. S. The Fisher?s infinitesimal model is traditionally used in quantitative genetics and genomic selection, and it attributes most genetic variance to additive variance. Recently, the dominance maximizatio... ... |
 Authorship: TORRES, L. G.; OLIVEIRA, E. J. de; OGBONNA, A. C.; BAUCHET, G. J.; MUELLER, L. A.; AZEVEDO, C. F.; SILVA, F. F.; SIMIQUELI, G. F.; RESENDE, M. D. V. de Genomic prediction (GP) offers great opportunities for accelerated genetic gains by optimizing the breeding pipeline. One of the key factors to be considered is how the training populations (TP) are c... ... |
 Authorship: SANTIN, D.; BENEDETTI, E. L.; BARROS, N. F. de; ALMEIDA, I. C. de; SIMIQUELI, G. F.; NEVES, J. C. L.; WENDLING, I.; REISSMANN, C. B. Na erva-mate (Ilex paraguariensis) o principal produto colhido é composto por folhas (FO) e galhos finos (GF), resultando em elevada exportação de nutrientes, dentre eles o N. As informações técnico-c... ... |
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