Hierarchical genetic clusters for phenotypic analysis
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| Natura: | Artículo científico |
| Lingua: | en |
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Universidade Estadual de Maringá
2015
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| _version_ | 1876433196815482880 |
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| author | Luiza Barbosa da Matta |
| author_facet | Luiza Barbosa da Matta |
| contents | Hierarchical genetic clusters for phenotypic analysis Luiza Barbosa da Matta Lívia Gracielle Oliveira Tomé Caio Césio Salgado Cosme Damião Cruz Letícia de Faria Silva Agrociencias backcrossing genetic diversity Hierarchical clustering Methods to obtain phenotypic information we re evaluated to help breeders choosing the best methodology for analysis of ge netic diversity in backcross populations. Phenotypes were simulated for 13 characteristics generate d in 10 populations with 100 individu als each. Genotypic information was generated from 100 loci of which 20 were taken at rand om to determine the charac teristics expressing two alleles. Dissimilarity measures were calculated, and genetic diversity was analyzed through hierarchical clustering and graphic projection of the distances. A backcross was performed from the two most divergent populations. A set of characteristics with variable heritability was taken into account. The environmental effect was simulated assuming ߪ,0(ܰ~ݔ ଶ ) . For hierarchical clusters, th e following methods were used: Gower Method, average linkage within the cluster, av erage linkage among clusters, the furthest neighbor method, the nearest neighbor meth od, Ward’s method, and the median method. The environmental effect and heritability of the analyzed variables had an in fluence on the pattern of hierarchical clustering populations according to the backcrossed generations. The nearest neighbor method was the most efficient in reconstructing the system of backcrossing, and it presented the highest cophenetic correlation. The efficiency of the nearest neighbor method was the hi ghest when the anal ysis involved characteristics of high heritability. 2015 artículo científico 1679-9275 https://www.redalyc.org/articulo.oa?id=303042425007 en http://www.redalyc.org/revista.oa?id=3030 Acta Scientiarum. Agronomy application/pdf Universidade Estadual de Maringá Acta Scientiarum. Agronomy (Brasil) Num.4 Vol.37 |
| format | Artículo científico |
| id | redalyc_303042425007 |
| institution | Redalyc |
| language | en |
| publishDate | 2015 |
| publisher | Universidade Estadual de Maringá |
| spellingShingle | Hierarchical genetic clusters for phenotypic analysis Luiza Barbosa da Matta Agrociencias backcrossing genetic diversity Hierarchical clustering Hierarchical genetic clusters for phenotypic analysis Luiza Barbosa da Matta Lívia Gracielle Oliveira Tomé Caio Césio Salgado Cosme Damião Cruz Letícia de Faria Silva Agrociencias backcrossing genetic diversity Hierarchical clustering Methods to obtain phenotypic information we re evaluated to help breeders choosing the best methodology for analysis of ge netic diversity in backcross populations. Phenotypes were simulated for 13 characteristics generate d in 10 populations with 100 individu als each. Genotypic information was generated from 100 loci of which 20 were taken at rand om to determine the charac teristics expressing two alleles. Dissimilarity measures were calculated, and genetic diversity was analyzed through hierarchical clustering and graphic projection of the distances. A backcross was performed from the two most divergent populations. A set of characteristics with variable heritability was taken into account. The environmental effect was simulated assuming ߪ,0(ܰ~ݔ ଶ ) . For hierarchical clusters, th e following methods were used: Gower Method, average linkage within the cluster, av erage linkage among clusters, the furthest neighbor method, the nearest neighbor meth od, Ward’s method, and the median method. The environmental effect and heritability of the analyzed variables had an in fluence on the pattern of hierarchical clustering populations according to the backcrossed generations. The nearest neighbor method was the most efficient in reconstructing the system of backcrossing, and it presented the highest cophenetic correlation. The efficiency of the nearest neighbor method was the hi ghest when the anal ysis involved characteristics of high heritability. 2015 artículo científico 1679-9275 https://www.redalyc.org/articulo.oa?id=303042425007 en http://www.redalyc.org/revista.oa?id=3030 Acta Scientiarum. Agronomy application/pdf Universidade Estadual de Maringá Acta Scientiarum. Agronomy (Brasil) Num.4 Vol.37 |
| title | Hierarchical genetic clusters for phenotypic analysis |
| topic | Agrociencias backcrossing genetic diversity Hierarchical clustering |
| url | https://www.redalyc.org/articulo.oa?id=303042425007 |