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Author(s): HICKEY, J. M.; CHIURUGWI, T.; MACKAY, I.; POWELL, W.; EGGEN, A.; KILIAN, A.; JONES, C.; CANALES, C.; GRATTAPAGLIA, D.; BASSI, F.; ATLIN, G.; GORJANC, G.; DAWSON, I.; RABBI, I.; RIBAUT, J.-M.; RUTKOSKI, J.; BENZIE, J.; LIGHTNER, J.; MWACHARO, J.; PARMENTIER, J.; ROBBINS, K.; SKOT, L.; WOLFE, M.; ROUARD, M.; CLARK, M.; AMER, P.; GARDINER, P.; HENDRE, P.; MRODE, R.; SIVASANKAR, S.; RASMUSSEN, S.; GROH, S.; JACKSON, V.; THOMAS, W.; BEYENE, Y.
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Author(s): LOPES, F. B.; SILVA, M. C. da; MIYAGI, E. S.; FIORAVANTI, M. C. S.; FACO, O.; GUIMARÃES, R. F.; CARVALHO JÚNIOR, O. A. de; McMANUS, C. M. Abstract: Brazil has high climate, soil and environmental diversity, as well as distinct socioeconomic and political realities, what results in differences among the political administrative regions o... ... |
Author(s): PANETTO, J. C. do C.; PEIXOTO, M. G. C. D.; SANTOS, G. G. dos; BRUNELI, F. A. T.; VERNEQUE, R. da S.; MACHADO, M. A.; AZEVEDO, A. L. S.; REIS, D. R. L.; SILVA, L. A.; EGITO, A. A. do; CARVALHO, M. R. S.
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Author(s): SILVA, F. F.; JEREZ, E. A. Z.; RESENDE, M. D. V. de; VIANA, J. M. S.; AZEVEDO, C. F.; LOPES, P. S.; NASCIMENTO, M.; LIMA, R. O. de; GUIMARÃES, S. E. F. We combined linkage (LA) and linkage disequilibrium (LDA) analyses (emerging the term ?LALDA?) for genomic selection (GS) purposes. The models were fitted to a simulated dataset and to a real data of... ... |
Author(s): KAPPELER, B. I. G.; REGITANO, L. C. de A.; POLETI, M. D.; CESAR, A. S. M.; MOREIRA, G. C. M.; GASPARIN, G.; COUTINHO, L. L. MicroRNAs (miRNAs) are small noncoding RNAs of approximately 22 nucleotides, highly conserved among species, which modulate gene expression by cleaving messenger RNA target or inhibiting translation.... ... |
Author(s): PAIVA, S. R.; MARIANTE, A. da S.; BLACKBURN, H. D.
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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... ... |
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