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| Ferreira,Adésio; Silva,Marcia Flores da; Silva,Luciano da Costa e; Cruz,Cosme Damião. |
| Based on simulation studies, it was shown that the type and size of experimental populations can exert an influence on the accuracy of genetic maps. A hypothetical genome map (one chromosome with nine equidistant molecular markers) was generated for the following population types: F2 with dominant and co-dominant markers, backcrossing, recombinant inbred lines (RIL) and double-haploid. The population sizes were 50, 100, 150, 200, 500 and 1000 individuals and 100 simulations were made for each population. The inaccuracies of the populations with the lowest number of individuals were shown by inversions in the order of the markers and the establishment of more than one linkage group in up to 38% of the simulations, depending on the population type. Stress... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Experimental populations; Mapping; Simulation; Markers. |
| Ano: 2006 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572006000100033 |
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| Silva,Luciano da Costa e; Cruz,Cosme Damião; Moreira,Maurilio Alves; Barros,Everaldo Gonçalves de. |
| Various population sizes and number of markers have been used to obtain genetic maps. However, the precise number of individuals and markers needed for obtaining reliable maps is not known. We used data simulation to determine the influence of population size, the effect of the degree of marker saturation of the genome, and the number of individuals required for mapping of recombinant inbred lines (RILs). Three genomes with 11 linkage groups were generated with saturation levels of 5, 10 and 20 cM. For each saturation level populations were generated with 50, 100, 154, 200, 300, 500 and 800 individuals with 100 replications for each population size. A total of 2100 populations was generated and mapped. Small marker numbers and small population sizes... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Recombinant inbred lines; Molecular markers; Number of individuals; Computer simulation. |
| Ano: 2007 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572007000600013 |
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