6 documents found, page 1 of 1
Bayesian forecasting of temporal gene expression by using an autoregressive pan...
Nascimento, M.; Silva, F.F. e; Sáfadi, T.; Nascimento, A.C.C.; Barroso, L.M.A.; Glória, L.S.; Carvalho, B. de S.We propose and evaluate a novel approach for forecasting gene expression over non-observed times in longitudinal trials under a Bayesian viewpoint. One of the aims is to cluster genes that share similar expression patterns over time and then use this similarity to predict relative expression at time points of interest. Expression values of 106 genes expressed during the cell cycle of Saccharomyces cerevisiae we...
Factor analysis applied to genome prediction for high-dimensional phenotypes in...
Teixeira, F.R.F.; Nascimento, M.; Nascimento, A.C.C.; Silva, F.F. e; Cruz, C.D.; Azevedo, C.F.; Paixão, D.M.; Barroso, L.M.A.; Verardo, L.L.The aim of the present study was to propose and evaluate the use of factor analysis (FA) in obtaining latent variables (factors) that represent a set of pig traits simultaneously, for use in genomewide selection (GWS) studies. We used crosses between outbred F2 populations of Brazilian Piau X commercial pigs. Data were obtained on 345 F2 pigs, genotyped for 237 SNPs, with 41 traits. FA allowed us to obtain four...
Artificial intelligence in the selection of common bean genotypes with high phe...
Corrêa, A.M.; Teodoro, P.E.; Gonçalves, M.C.; Barroso, L.M.A.; Nascimento, M.; Santos, A.; Torres, F.E.Artificial neural networks have been used for various purposes in plant breeding, including use in the investigation of genotype x environment interactions. The aim of this study was to use artificial neural networks in the selection of common bean genotypes with high phenotypic adaptability and stability, and to verify their consistency with the Eberhart and Russell method. Six trials were conducted using 13 g...
Measurements of experimental precision for trials with cowpea ( Vigna unguicula...
Teodoro, P.E.; Torres, F.E.; Santos, A.D.; Corrêa, A.M.; Nascimento, M.; Barroso, L.M.A.; Ceccon, G.The aim of this study was to evaluate the suitability of statistics as experimental precision degree measures for trials with cowpea (Vigna unguiculata L. Walp.) genotypes. Cowpea genotype yields were evaluated in 29 trials conducted in Brazil between 2005 and 2012. The genotypes were evaluated with a randomized block design with four replications. Ten statistics that were estimated for each trial were compared...
Bayesian approach increases accuracy when selecting cowpea genotypes with high ...
Santos, A. dos; Barroso, L.M.A.; Teodoro, P.E.; Nascimento, M.; Torres, F.E.; Corrêa, A.M.; Sagrilo, E.; Corrêa, C.C.G.; Silva, F.A.; Ceccon, G.This study aimed to verify that a Bayesian approach could be used for the selection of upright cowpea genotypes with high adaptability and phenotypic stability, and the study also evaluated the efficiency of using informative and minimally informative a priori distributions. Six trials were conducted in randomized blocks, and the grain yield of 17 upright cowpea genotypes was assessed. To represent the minimall...
Adaptability and phenotypic stability of common bean genotypes through Bayesian...
Corrêa, A.M.; Teodoro, P.E.; Gonçalves, M.C.; Barroso, L.M.A.; Nascimento, M.; Santos, A.; Torres, F.E.This study used Bayesian inference to investigate the genotype x environment interaction in common bean grown in Mato Grosso do Sul State, and it also evaluated the efficiency of using informative and minimally informative a priori distributions. Six trials were conducted in randomized blocks, and the grain yield of 13 common bean genotypes was assessed. To represent the minimally informative a priori distribut...