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

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,...

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Main Author: Marcos Deon Vilela de Resende
Format: Article
Language:English
Published: Brazilian Society of Plant Breeding 2016-11-01
Series:Crop Breeding and Applied Biotechnology
Subjects:
Online Access:http://www.sbmp.org.br/cbab/siscbab/uploads/c8eb9792-58b6-99d8.pdf
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spelling doaj-e97fa7c34acd4a5795daca0542ef52cf2020-11-25T02:39:20ZengBrazilian Society of Plant BreedingCrop Breeding and Applied Biotechnology1518-78531984-70332016-11-01164330339http://dx.doi.org/10.1590/1984-70332016v16n4a49Software Selegen-REML/BLUP: a useful tool for plant breedingMarcos Deon Vilela de Resende0Embrapa Florestas, Universidade Federal de Viçosa, Departamento de Engenharia Florestal, 36.570-000, Viçosa, MG, BrazilThe 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.http://www.sbmp.org.br/cbab/siscbab/uploads/c8eb9792-58b6-99d8.pdfLinear mixed modelspredictionvariance componentsBLUPREMLselection
collection DOAJ
language English
format Article
sources DOAJ
author Marcos Deon Vilela de Resende
spellingShingle Marcos Deon Vilela de Resende
Software Selegen-REML/BLUP: a useful tool for plant breeding
Crop Breeding and Applied Biotechnology
Linear mixed models
prediction
variance components
BLUP
REML
selection
author_facet Marcos Deon Vilela de Resende
author_sort Marcos Deon Vilela de Resende
title Software Selegen-REML/BLUP: a useful tool for plant breeding
title_short Software Selegen-REML/BLUP: a useful tool for plant breeding
title_full Software Selegen-REML/BLUP: a useful tool for plant breeding
title_fullStr Software Selegen-REML/BLUP: a useful tool for plant breeding
title_full_unstemmed Software Selegen-REML/BLUP: a useful tool for plant breeding
title_sort software selegen-reml/blup: a useful tool for plant breeding
publisher Brazilian Society of Plant Breeding
series Crop Breeding and Applied Biotechnology
issn 1518-7853
1984-7033
publishDate 2016-11-01
description 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.
topic Linear mixed models
prediction
variance components
BLUP
REML
selection
url http://www.sbmp.org.br/cbab/siscbab/uploads/c8eb9792-58b6-99d8.pdf
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