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      Software Selegen-REML/BLUP: a useful tool for plant breeding

      Crop Breeding and Applied Biotechnology
      Crop Breeding and Applied Biotechnology
      Linear mixed models, prediction, variance components, BLUP, REML, selection

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          Abstract

          Abstract The software Selegen-REML/BLUP uses mixed models, and was developed to optimize the routine of plant breeding programs. It addresses the following plants categories: allogamous, automagous, of mixed mating system, and of clonal propagation. It considers several experimental designs, mating designs, genotype x environment interaction, experiments repeated over sites, repeated measures, progenies belonging to several populations, among other factors. The software adjusts effects, estimates variance components, genetic additive, dominance and genotypic values of individuals, genetic gain with selection, effective population size, and other parameters of interest to plant breeding. It allows testing the significance of the effects by means of likelihood ratio test (LRT) and analysis of deviance. It addresses continuous variables (linear models) and categorical variables (generalized linear models). Selegen-REML/BLUP is friendly, easy to use and interpret, and allows dealing efficiently with most of the situations in plant breeding. It is free and available at http://www.det.ufv.br/ppestbio/corpo_docente.php under the author's name.

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          Most cited references44

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          Recovery of inter-block information when block sizes are unequal

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            Maximum Likelihood Approaches to Variance Component Estimation and to Related Problems

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              A Simple Method for Computing the Inverse of a Numerator Relationship Matrix Used in Prediction of Breeding Values

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                Author and article information

                Journal
                S1984-70332016000400330
                10.1590/1984-70332016v16n4a49
                http://creativecommons.org/licenses/by/4.0/

                Biotechnology,Horticulture
                Linear mixed models,prediction,variance components,BLUP,REML,selection
                Biotechnology, Horticulture
                Linear mixed models, prediction, variance components, BLUP, REML, selection

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