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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... ...

Repository: BDPA     Publication year: 2017

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... ...

Repository: BDPA     Publication year: 2022

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... ...

Repository: BDPA     Publication year: 2016

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... ...

Repository: BDPA     Publication year: 2017

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... ...

Repository: BDPA     Publication year: 2019

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... ...

Repository: BDPA     Publication year: 2019

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... ...

Repository: BDPA     Publication year: 2019

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... ...

Repository: BDPA     Publication year: 2014

Author(s): GRATTAPAGLIA, D.; SILVA JUNIOR, O. B. da; KIRST, M.; LIMA, B. M.; FARIA, D. A.; PAPPAS JUNIOR, G. J.

Repository: BDPA     Publication year: 2011

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... ...

Repository: BDPA     Publication year: 2024

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