Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/34288
Type: Artigo de periódico
Title: Reciprocal recurrent selection effects on the genetic structure of tropical maize populations assessed at microsatellite loci
Author: Pinto, Luciana Rossini
Vieira, Maria Lucia Carneiro
Souza Jr., Claudio Lopes de
Souza, Anete Pereira de
Abstract: A modified reciprocal recurrent selection (RRS) method, which employed one cycle of high-intensity selection, was applied to two tropical maize (Zea mays L.) populations, BR-105 and BR-106, originating the improved synthetics IG-3 and IG-4, respectively. In the present study the effects of this kind of selection on the genetic structure of these populations and their synthetics were investigated at 30 microsatellite (SSR) loci. A total of 125 alleles were revealed. A reduction in the number of alleles was observed after selection, as well as changes in allele frequencies. In nearly 13% (BR-105) and 7% (BR-106) of the loci evaluated, the changes in allele frequencies were not explained, exclusively due to the effects of genetic drift. The effective population sizes estimated for the synthetics using 30 SSR loci were similar to those theoretically expected after selection. The genetic differentiation (G ST) between the synthetics increased to 77% compared with the original populations. The estimated R ST values, a genetic differentiation measure proper for microsatellite data, were similar to those obtained for G ST. Despite the high level of selection applied, the total gene diversity found in the synthetics allows them to be used in a new RRS cycle.
Subject: population genetics
plant breeding
molecular markers
Editor: Sociedade Brasileira de Genética
Rights: aberto
Identifier DOI: 10.1590/S1415-47572003000300022
Address: http://dx.doi.org/10.1590/S1415-47572003000300022
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572003000300022
Date Issue: 1-Jan-2003
Appears in Collections:Artigos e Materiais de Revistas Científicas - Unicamp

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