Navegando por Autor Peixoto, L.A.

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Data do documentoTítuloAutor(es)Tipo
18-Jun-2015Artificial neural networks reveal efficiency in genetic value predictionPeixoto, L.A.; Bhering, L.L.; Cruz, C.D.Artigo
9-Set-2015Comparison of methods used to identify superior individuals in genomic selection in plant breedingBhering, L.L.; Junqueira, V.S.; Peixoto, L.A.; Cruz, C.D.; Laviola, B.G.Artigo
21-Nov-2016Determination of the optimal number of markers and individuals in a training population necessary for maximum prediction accuracy in F 2 populations by using genomic selection modelsPeixoto, L.A.; Bhering, L.L.; Cruz, C.D.Artigo
21-Set-2017Estimates of repeatability coefficients and the number of the optimum measure to select superior genotypes in Annona muricata L.Sanchéz, C.F.B.; Alves, R.S.; Garcia, A.D.P.; Teodoro, P.E.; Peixoto, L.A.; Silva, L.A.; Bhering, L.L.; Resende, M.D.V.Artigo
31-Mai-2017Minimum number of measurements for evaluating soursop (Annona muricata L.) yieldSánchez, C.F.B.; Teodoro, P.E.; Londoño, S.; Silva, L.A.; Peixoto, L.A.; Bhering, L.L.Artigo
22-Mar-2017Multivariate diallel analysis allows multiple gains in segregating populations for agronomic traits in JatrophaTeodoro, P.E.; Rodrigues, E.V.; Peixoto, L.A.; Silva, L.A.; Laviola, B.G.; Bhering, L.L.Artigo
22-Mar-2017Path analysis and canonical correlations for indirect selection of Jatropha genotypes with higher oil yieldSilva, L.A.; Peixoto, L.A.; Teodoro, P.E.; Rodrigues, E.V.; Laviola, B.G.; Bhering, L.L.Artigo
25-Mai-2017Selecting sugarcane genotypes by the selection index reveals high gain for technological quality traitsSilva, L.A.; Teodoro, P.E.; Peixoto, L.A.; Assis, C.; Gasparini, K.; Barbosa, M.H.P.; Bhering, L.L.Artigo