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 Author(s): COLE, J. B.; SILVA, M. V. G. B. Abstract Genomic selection has been a valuable tool for increasing the rate of genetic improvement in purebred dairy cattle populations. However, there also are many large populations of crossbred dai... ... |
 Author(s): SALOJÄRVI.; RAMBANI, A.; YU, Z.; GUYOT, R.; STRICKLER, S.; LEPELLEY, M.; WANG, C.; RAJARAMAN, S.; RASTAS, P.; ZHENG, C.; MUÑOZ, D. S.; MEIDANIS, J.; PASCHOAL, A. R.; BAWIN, Y.; KRABBENHOFT, T. J.; WANG, Z. Q.; FLECK, S. J.; AUSSEL, R.; BELLANGER, L.; CHARPAGNE, A.; FOURNIER, C.; KASSAM, M.; LEFEBVRE, G.; MÉTAIRON, S.; MOINE, D.; RIGOREAU, M.; STOLTE, J.; HAMON, P.; COUTURON, E.; TRANCHANT-DUBREUIL, C.; MUKHERJEE, M.; LAN, T.; ENGELHARDT, J.; STADLER, P.; LEMOS, S. M. C. de; SUZUKI, S. I.; SUMIRAT, U.; WAI, C. M.; DAUCHOT, N.; OROZCO-ARIAS, S.; GARAVITO, A.; KIWUKA, C.; MUSOLI, P.; NALUKENGE, A.; GUICHOUX, E.; REINOUT, H.; SMIT, M.; CARRETERO-PAULET, L.; GUERREIRO FILHO, O.; BRAGHINI, M. T.; PADILHA, L.; SERA, G. H.; RUTTINK, T.; HENRY, R.; MARRACCINI, P.; PEER, Y. V. de; ANDRADE, A. C.; DOMINGUES, D.; GIULIANO, G.; MUELLER, L.; PEREIRA, L. F. P.; PLAISANCE, S.; PONCET, V.; ROMBAUTS, S.; SANKOFF, D.; ALBERT, V. A.; CROUZILLAT, D.; KOCHKO, A. de; DESCOMBES, P. Coffea arabica, an allotetraploid hybrid of Coffea eugenioides and Coffea canephora, is the source of approximately 60% of coffee products worldwide, and its cultivated accessions have undergone sever... ... |
 Author(s): ROGÉRIO, F.; BARONCELLI, R.; CUEVAS-FERNÁNDEZ, F. B.; BECERRA, S.; CROUCH, J.; BETTIOL, W.; AZCÁRATE-PERIL, M. A.; MALAPI-WIGHT, M.; ORTEGA, V.; BETRAN, J.; TENUTA, A.; DAMBOLENA, J. S.; ESKER, P. D.; REVILLA, P.; JACKSON-ZIEMS; HILTBRUNNER, J.; MUNKVOLD, G.; BUHINICEK, I.; VICENTE-VILLARDÓN, J. L.''''; SUKNO, S. A.; THON, M. R. Abstract: Understanding the genetic diversity and mechanisms underlying genetic variation in pathogen populations is crucial to the development of effective control strategies. We investigated the gen... ... |
 Author(s): MÜLLER, B. S. F.; NEVES, L. G.; ALMEIDA FILHO, J. E. de; RESENDE JUNIOR, M. F. R.; MUÑOZ, P. R.; SANTOS, P. E. T. dos; PALUDZYSZYN FILHO, E.; KIRST, M.; GRATTAPAGLIA, D. Background: The advent of high-throughput genotyping technologies coupled to genomic prediction methods established a new paradigm to integrate genomics and breeding. We carried out whole-genome predi... ... |
 Author(s): SILVA, F. F. e; RESENDE, M. D. V. de; ROCHA, G. S.; DUARTE, D. A. S.; LOPES, P. S.; BRUSTOLIN, O. J. B.; THUS, S.; VIANA, J. M. S.; GUIMARÃES, S. E. F. In the current post-genomic era, the genetic basis of pig growth can be understood by assessing SNP marker effects and genomic breeding values (GEBV) based on estimates of these growth curve parameter... ... |
 Author(s): MÉSZÁROS, G.; BOISON, S. A.; O'BRIEN, A. M. P.; FERENCAKOVIC, M.; CURIK, I.; SILVA, M. V. G. B.; UTSONOMIYA, Y. T.; GARCIA, J. F.; SÖLKNER, J. Analysis of genomic data is increasingly becoming part of the livestock industry. Therefore, the routine collection of genomic information would be an invaluable resource for effective management of b... ... |
 Author(s): KOUTSOVOULOS, G. D.; MARQUES, E.; ARGUEL, M.-J.; DURET, L.; MACHADO, A. C. Z.; CARNEIRO, R. M. D. G.; KOZLOWSKI, D. K.; BAILLY-BECHET, M.; CASTAGNONE-SERENO, P.; ALBUQUERQUE, E. V. S.; DANCHIN, E. G. J.
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 Author(s): 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... ... |
 Author(s): MOURA, J. de O.; CAMPELO, J. E. G.; BAJAY, M. M.; SARMENTO, J. L. R.; ARAUJO, A. M. de The aim of this study was to apply the Illumina 50 K goat SNP Chip to analyse population genomic structure in two herds of Marota goats in the State of Piauí, one private and the other an official con... ... |
 Author(s): AZEVEDO, C. F.; RESENDE, M. D. V. de; SILVA, F. F. e; NASCIMENTO, M.; VIANA, J. M. S.; VALENTE, M. S. F. We proposed a population structure correction for genome-wide selection based on covariance analysis via eigenvector (EVG) decomposition. The agreement between the predicted and true breeding values w... ... |
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