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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... ... Repository: BDPA Publication year: 2017
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
Predicted genetic gains weighted by selection pressures for grain quality in irrigated rice. Author(s): FACCHINELLO, P. H. K.; CARVALHO, I. R.; STRECK, E. A.; AGUIAR, G. A.; GOVEIA, J.; FEIJÓ, M.; PEREIRA, R. R.; OLIVEIRA, V. F. de; FAGUNDES, P. R. R.; MAIA, L. C. da; LAUTENCHLEGER, F.; MAGALHAES JUNIOR, A. M. de O objetivo deste trabalho foi analisar componentes de variâncias e herdabilidades, estimar o ganho de seleção e avaliar as diferentes pressões de seleção para atributos físicos de qualidade de grãos d... ... Repository: BDPA Publication year: 2021
Estimate of genetic parameters and predicted gains with early selection of physic nut families. Author(s): LAVIOLA, B. G.; ALVES, A. A.; GURGEL, F. de L.; ROSADO, T. B.; COSTA, R. D.; ROCHA, R. B. Uma avaliação inicial da seleção precoce de genótipos baseados em dados fenotípicos é apresentada aqui. Para predizer os ganhos genéticos com a seleção precoce, parâmetros genéticos, e.g. variância ge... ... Repository: BDPA Publication year: 2012
Prediction of genetic gains from selection in Arabica coffee progenies. Author(s): OLIVEIRA, A. C. B. de; PEREIRA, A. A.; SILVA, F. L. da; REZENDE, J. C. de; BOTELHO, C. E.; CARVALHO, G. R. Gains from selection for yield were estimated in Arabica coffee progenies carrying rust-resistance genes. The experiment in augmented block design was installed in Três Pontas, state of Minas Gerais.... ... Repository: BDPA Publication year: 2011
Prediction of genetic gains by selection indices using mixed models in elephant grass for energy purposes. Author(s): SILVA, V. B.; DAHER, R. F.; ARAÚJO, M. S. B.; SOUZA, Y. P.; CASSARO, S.; MENEZES, B. R. S.; GRAVINA, L. M.; NOVO, A. A. C.; TARDIN, F. D.; AMARAL JÚNIOR, A. T. Genetically improved cultivars of elephant grass need to be adapted to different ecosystems with a faster growth speed and lower seasonality of biomass production over the year. This study aimed to us... ... Repository: BDPA Publication year: 2017
Prediction of genetic gains with selection between and within S2 progenies of papaya using the REML/Blup analysis. Author(s): SILVA, T. P. da; VIDAL NETO, F. das C.; DOVALE, J. C. Repository: BDPA Publication year: 2017
Efficiency of artificial neural networks to predict genetic values and genetic gains in Bactris gasipaes. Author(s): RODRIGUES, G.; KALIL FILHO, A. N.; SANTOS, W.; MARTINS, K.; AGUIAR, A. V. de Repository: BDPA Publication year: 2019
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
Index selection can improve the selection efficiency in a rice recurrent selection population. Author(s): GUIMARÃES, P. H. R.; MELO, P. G. S.; CORDEIRO, A. C. C.; TORGA, P. P.; RANGEL, P. H. N.; CASTRO, A. P. de To attain success with selection process, the breeders need to understand the genetic variability into each population developed by breeding program. In this purpose, breeders need to estimate the var... ... Repository: BDPA Publication year: 2021

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