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Author(s): NASCIMENTO, M.; SILVA, F. F. e; RESENDE, M. D. V. de; CRUZ, C. D.; NASCIMENTO, A. C. C.; VIANA, J. M. S.; AZEVEDO, C. F.; BARROSO, L. M. A. Genomic selection (GS) is a variant of marker-assisted selection, in which genetic markers covering the whole genome predict individual genetic merits for breeding. GS increases the accuracy of breedi... ... |
Author(s): CROSSA, J.; MONTESINOS-LÓPEZ, O. A.; PÉREZ-RODRÍGUEZ, P.; COSTA-NETO, G.; FRITSCHE-NETO, R.; ORTIZ, R.; MARTINI, J. W. R.; LILLEMO, M.; MONTESINOS-LÓPEZ, A.; JARQUIN, D.; BRESEGHELLO, F.; CUEVAS, J.; RINCENT, R. Genomic-enabled prediction models are of paramount importance for the successful implementation of genomic selection (GS) based on breeding values. As opposed to animal breeding, plant breeding includ... ... |
Author(s): VIANA, A. P.; RESENDE, M. D. V. de; RIAZ, S.; WALKER, M. A. Genomic selection (GS) has recently been proposed as a new selection strategy which represents an innovative paradigm in crop improvement, now widely adopted in animal breeding. Genomic selection reli... ... |
Author(s): CARNEIRO, F. de A.; MARRACCINI, P.; BALESTRE, M.; GRATTAPAGLIA, D.; ANDRADE, A. C. Coffee is one of the most heavily globally traded commodities and its production is based on Coffea arabica and Coffea canephora and Brazil being the world's largest coffee producer. It is believed th... ... |
Author(s): SOUSA, T. V.; CAIXETA, E. T.; ALKIMIM, E. R.; OLIVEIRA, A. C. B. de; PEREIRA, A. A.; SAKIYAMA, N. S.; ZAMBOLIM, L.; RESENDE, M. D. V. de Genomic Selection (GS) has allowed the maximization of genetic gains per unit time in several annual and perennial plant species. However, no GS studies have addressed Coffea arabica, the most economi... ... |
Author(s): LARA, L. A. de C.; SANTOS, M. F.; JANK, L.; CHIARI, L.; VILELA, M. de M.; AMADEU, R. R.; SANTOS, J. P. R. dos; SILVA, F. G. da; ZENG, Z.-B.; GARCIA, A. A. F. Genomic selection is an efficient approach to get shorter breeding cycles in recurrent selection programs and greater genetic gains with selection of superior individuals. Despite advances in genotypi... ... |
Author(s): ANDRADE, L. R. B. de; SOUSA, M. B. e; OLIVEIRA, E. J. de; RESENDE, M. D. V. de; AZEVEDO, C. F. Genomic selection (GS) has been used to optimize genetic gains when phenotypic selection is considered costly and difficult to measure. The objective of this work was to evaluate the efficiency and co... ... |
Author(s): NEVES, H. H.; CARVALHEIRO, R.; O'BRIEN, A. M.; UTSUNOMIYA, Y. T.; CARMO, A. S. do; SCHENKEL, F. S.; SÖLKNER, J.; MCEWAN, J. C.; VAN TASSELL, C. P.; COLE, J. B.; SILVA, M. V. G. B.; QUEIROZ, S. A.; SONSTEGARD, T. S.; GARCIA, J. F. Background- Nellore cattle play an important role in beef production in tropical systems and there is great interest in determining if genomic selection can contribute to accelerate genetic improvemen... ... |
Author(s): GRATTAPAGLIA, D.; SILVA JUNIOR, O. B. da; KIRST, M.; LIMA, B. M.; FARIA, D. A.; PAPPAS JUNIOR, G. J.
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Author(s): NASCIMENTO, M.; NASCIMENTO, A. C. C.; AZEVEDO, C. F.; OLIVEIRA, A. C. B. de; CAIXETA, E. T.; JARQUIN, D. Coffee Breeding programs have traditionally relied on observing plant characteristics over years, a slow and costly process. Genomic selection (GS) offers a DNA-based alternative for faster selection... ... |
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