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Accuracy of genomic predictions in Bos indicus (Nellore) cattle. 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
Increasing selection gain and accuracy of harvest prediction models in Jatropha through genome-wide selection. 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... ... Repository: BDPA Publication year: 2021
Accuracy of genomic prediction for tick resistance in Braford and Hereford cattle. Author(s): CARDOSO, F. F.; SOLLERO, B. P.; GOMES, C. C. G.; COMIN, H. B.; ROSO, V. M.; HIGA, R. H.; YOKOO, M. J.; CAETANO, A. R.; AGUILAR, I. This work aimed to determine the accuracy and bias of genomic predictions of Braford (BO) and Hereford (HH) cattle genetic resistance to ticks. Repository: BDPA Publication year: 2014
Genome prediction accuracy of common bean via Bayesian models. Author(s): BARILI, L. D.; VALE, N. M. do; SILVA, F. R. e; CARNEIRO, J. E. de S.; OLIVEIRA, H. R. de; VIANELLO, R. P.; VALDISSER, P. A. M. R.; NASCIMENTO, M. We aimed to apply genomic information based on SNP (single nucleotide polymorphism) markers for the genetic evaluation of the traits ?stay-green? (SG), plant architecture (PA), grain aspect (GA) and g... ... Repository: BDPA Publication year: 2018
Improving genomic prediction accuracy for meat tenderness in Nellore cattle using artificial neural networks. Author(s): LOPES, F. B.; MAGNABOSCO, C. de U.; PASSAFARO, T. L.; BRUNES, L. C.; COSTA, M. F. O. e; EIFERT, E. da C.; NARCISO, M. G.; ROSA, G. J. M.; LOBO, R. B.; BALDI, F. The goal of this study was to compare the predictive performance of artificial neural networks (ANNs) with Bayesian ridge regression, Bayesian Lasso, Bayes A, Bayes B and Bayes Cπ in estimating g... ... Repository: BDPA Publication year: 2020
Accuracy of genomic prediction for tick resistance in Braford and Hereford cattle. Author(s): CARDOSO, F. F.; SOLLERO, B. P.; GULIAS-GOMES, C. C.; COMIN, H. B.; ROSO, V. M.; HIGA, R. H.; YOKOO, M. J. I.; CAETANO, A. R.; AGUILAR, I. Repository: BDPA Publication year: 2014
On the accuracy of threshold genomic prediction models for leaf miner and leaf rust resistance in arabica coffee. Author(s): CARVALHO, H. F.; FERRÃO, L. F. V.; GALLI, G.; NONATO, J. V. A.; PADILHA, L.; MALUF, M. P.; RESENDE JR., M. F. R. de; FRITSCHE-NETO, R.; GUERREIRO-FILHO, O. Obtaining resistance cultivars for leaf miner and leaf rust are the main important strategy of Brazil?s national coffee breeding program. The narrow genetic basis, and founder effect consequences, lea... ... Repository: BDPA Publication year: 2023
Evaluating the accuracy of genomic prediction of growth and wood traits in two Eucalyptus species and their F1 hybrids. Author(s): TAN, B.; GRATTAPAGLIA, D.; MARTINS, G. S.; FERREIRA, K. Z.; SUNDBERG, B.; INGVARSSON, P. K. Repository: BDPA Publication year: 2017
Enhancing prediction accuracy of soil respiration in an apple orchard by integrating photosynthetic activity into a temperature-related model. Author(s): SCANDELLARI, F.; ZANOTELLI, D.; CECCON, C.; BOLOGNESI, M.; MONTAGNANI, L.; CASSOL, P.; MELO, G. W. B. de; TAGLIAVINI, M. Repository: BDPA Publication year: 2015
Early Selection Enabled by the Implementation of Genomic Selection in Coffea arabica Breeding. 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

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