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 Genome-enabled prediction of breeding values for feedlot average daily weight gain in nelore cattle. Author(s): SOMAVILLA, A. L.; REGITANO, L. C. de A.; ROSA, G. J. M.; MOKRY, F. B.; MUDADU, M. de A.; TIZIOTO, P. C.; OLIVEIRA, P. S. N. de; SOUZA, M. M. de; COUTINHO, L. L.; MUNARI, D. P. Nelore is the most economically important cattle breed in Brazil, and the use of genetically improved animals has contributed to increase beef production efficiency. The Brazilian beef feedlot industr... ... |
 Author(s): AZEVEDO, C. F.; NASCIMENTO, M.; SILVA, F. F.; RESENDE, M. D. V. de; LOPES, P. S.; GUIMARÃES, S. E. F.; GLÓRIA, L. S. A significant contribution of molecular genetics is the direct use of DNA information to identify genetically superior individuals. With this approach, genome-wide selection (GWS) can be used for this... ... |
 Increasing cassava root yield: additive-dominant genetic models for selection of parents and clones. Author(s): ANDRADE, L. R. B. de; SOUSA, M. B. e; WOLFE, M.; JANNINK, J. L.; RESENDE, M. D. V. de; AZEVEDO, C. F.; OLIVEIRA, E. J. de Genomic selection has been promising in situations where phenotypic assessments are expensive, laborious, and/or inefficient. This work evaluated the efficiency of genomic prediction methods combined... ... |
 Author(s): FERREIRA FILHO, D.; BUENO FILHO, J. S. de S.; REGITANO, L. C. de A.; ALENCAR, M. M. de; ALVES, R. R.; BAENA, M. M.; MEIRELLES, S. L. C. Analysis of a large number of markers is crucial in both genome-wide association studies (GWAS) and genome-wide selection (GWS). However there are two methodological issues that restrict statistical a... ... |
 Author(s): SANTOS, A. dos; RODRIGUES, E. V.; LAVIOLA, B. G.; TEODORO, L. P. R.; TEODORO, P. E.; BHERING, L. L. Abstract: Genome-wide selection (GWS) has been becoming an essential tool in the genetic breeding of long-life species, as it increases the gain per time unit. This study had a hypothesis that GWS is... ... |
 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): 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): OLIVEIRA, G. F.; NASCIMENTO, A. C. C.; NASCIMENTO, M.; SANT'ANNA, I. de C.; ROMERO, J. V.; AZEVEDO, C. F.; BHERING, L. L.; CAIXETA, E. T. This study assessed the efficiency of Genomic selection (GS) or genome‐wide selection (GWS), based on Regularized Quantile Regression (RQR), in the selection of genotypes to breed autogamous pla... ... |
 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): 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... ... |
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