Embrapa Café (SAPC)
URI permanente para esta colecciónhttp://hdl.handle.net/123456789/402445
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34 resultados
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Ítem Exploring the genetic potential for multi-resistance to rust and other coffee phytopathogens in breeding programs.MARIZ, B. L.; CAIXETA, E. T.; RESENDE, M. D. V. de; OLIVEIRA, A. C. B. de; ALMEIDA, D. P. de; ALVES, D. R.Ítem Using visual scores for genomic prediction of complex traits in breeding programs.AZEVEDO, C. F.; FERRÃO, L. F. V.; BENEVENUTO, J.; RESENDE, M. D. V. de; NASCIMENTO, M.; NASCIMENTO, A. C. C.; MUNOZ, P. R.Ítem Population size in QTL detection using quantile regression in genome‑wide association studies.OLIVEIRA, G. F.; NASCIMENTO, A. C. C.; AZEVEDO, C. F.; CELERI, M. de O.; BARROSO, L. M. A.; SANT’ANNA, I. de C.; VIANA, J. M. S.; RESENDE, M. D. V. de; NASCIMENTO, M.Ítem Combined BLUP selection indexes with parents and F2 populations in soybean (Glycine max) breeding.BEZERRA, A. R. G.; RESENDE, M. D. V. de; SILVA, F. L. da; SEDIYAMA, T.; CRUZ, C. D.; SILVA, F. C. dos S.; SILVA, A. F. daÍtem Multi-trait multi-environment models for selecting high-performance and stable eucalyptus clones.FERREIRA, F. M.; CHAVES, S. F. da S.; PEIXOTO, M. A.; ALVES, R. S.; COELHO, I. F.; RESENDE, M. D. V. de; SANTOS, G. A. dos; BHERING, L. L.Ítem Maximizing multi-trait gain and diversity with genetic algorithms.SIMIQUELI, G. F.; RESENDE, R. T.; RESENDE, M. D. V. deÍtem Very early biomarkers screening for water deficit tolerance in commercial eucalyptus clones.CORRÊA, T.; PICOLI, E. A. de T.; PEREIRA, W. L.; CONDÉ, S. A.; RESENDE, R. T.; RESENDE, M. D. V. de; COSTA, W. G. da; CRUZ, C. D.; ZAUZA, E. A. V.Ítem Estimates of genetic parameters and selection gains for phenological and productive characteristics in macaw palm: an important plant for bioenergy.COSER, S. M.; MOTOIKE, S. Y.; CORRÊA, T. R.; QUEIROZ, V. de; COSTA, A. M.; NASCIMENTO, H. R. do; MADEIRA, D. D. C.; RESENDE, M. D. V. deÍtem Statistical significance, selection accuracy, and experimental precision in plant breeding.RESENDE, M. D. V. de; ALVES, R. S.Ítem Multivariate analysis methods improve the selection of strawberry genotypes with low cold requirement.BARTH, E.; RESENDE, J. T. V. de; MARIGUELE, K. H.; RESENDE, M. D. V. de; SILVA, A. L. B. R. da; RU, S.