Analysis of genetic diversity in Argentinian heterotic maize populations using molecular markers

Over the past three decades, traditional Argentinean Orange Flint maize cultivars have been replaced by the higher yielding U.S. Yellow Dent germplasms. However, fint cultivars are potentially resistant to biotic and/or abiotic stress. Thus, knowledge of genetic diversity and relationships among fin...

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Autores principales:	Morales,Marcelo, Decker,Viviana, Ornella,Leonardo
Lenguaje:	English
Publicado:	Pontificia Universidad Católica de Chile. Facultad de Agronomía e Ingeniería Forestal 2010
Materias:	Cluster analysis microsatellite Zea mays
Acceso en línea:	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-16202010000100015
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spelling	oai:scielo:S0718-162020100001000152010-06-10Analysis of genetic diversity in Argentinian heterotic maize populations using molecular markersMorales,MarceloDecker,VivianaOrnella,Leonardo Cluster analysis microsatellite Zea mays Over the past three decades, traditional Argentinean Orange Flint maize cultivars have been replaced by the higher yielding U.S. Yellow Dent germplasms. However, fint cultivars are potentially resistant to biotic and/or abiotic stress. Thus, knowledge of genetic diversity and relationships among fint inbred lines would help reduce genetic vulnerability and broaden the genetic base of crops in national improvement programs. In this study, we report the analysis of 25 inbred Orange Flint germplasms and one dent using 21 microsatellite markers or Simple Sequence Repeats (SSR). The aim was to assess genetic diversity among these accessions and evaluate the usefulness of SSR markers for defning heterotic groups in temperate germplasm. Genetic diversity values for fint germplasm (25 inbreeds) was relatively high. The number of alleles per locus was 5.14 and expected heterozygosis (He) was 0.68. When testing for genetic differentiation among the four heterotic populations established by topcross, twelve loci from a total of twenty-one displayed signifcant P-values. Even though we cannot observe a signifcant agreement between groupings based on topcross and clustering based on molecular data. On the other hand, Bayesian grouping (STRUCTURE software) performed better when compared to the clustering based on genetic distance (UPGMA-Modifed Rogers Distance).info:eu-repo/semantics/openAccessPontificia Universidad Católica de Chile. Facultad de Agronomía e Ingeniería ForestalCiencia e investigación agraria v.37 n.1 20102010-04-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-16202010000100015en10.4067/S0718-16202010000100015
institution	Scielo Chile
collection	Scielo Chile
language	English
topic	Cluster analysis microsatellite Zea mays
spellingShingle	Cluster analysis microsatellite Zea mays Morales,Marcelo Decker,Viviana Ornella,Leonardo Analysis of genetic diversity in Argentinian heterotic maize populations using molecular markers
description	Over the past three decades, traditional Argentinean Orange Flint maize cultivars have been replaced by the higher yielding U.S. Yellow Dent germplasms. However, fint cultivars are potentially resistant to biotic and/or abiotic stress. Thus, knowledge of genetic diversity and relationships among fint inbred lines would help reduce genetic vulnerability and broaden the genetic base of crops in national improvement programs. In this study, we report the analysis of 25 inbred Orange Flint germplasms and one dent using 21 microsatellite markers or Simple Sequence Repeats (SSR). The aim was to assess genetic diversity among these accessions and evaluate the usefulness of SSR markers for defning heterotic groups in temperate germplasm. Genetic diversity values for fint germplasm (25 inbreeds) was relatively high. The number of alleles per locus was 5.14 and expected heterozygosis (He) was 0.68. When testing for genetic differentiation among the four heterotic populations established by topcross, twelve loci from a total of twenty-one displayed signifcant P-values. Even though we cannot observe a signifcant agreement between groupings based on topcross and clustering based on molecular data. On the other hand, Bayesian grouping (STRUCTURE software) performed better when compared to the clustering based on genetic distance (UPGMA-Modifed Rogers Distance).
author	Morales,Marcelo Decker,Viviana Ornella,Leonardo
author_facet	Morales,Marcelo Decker,Viviana Ornella,Leonardo
author_sort	Morales,Marcelo
title	Analysis of genetic diversity in Argentinian heterotic maize populations using molecular markers
title_short	Analysis of genetic diversity in Argentinian heterotic maize populations using molecular markers
title_full	Analysis of genetic diversity in Argentinian heterotic maize populations using molecular markers
title_fullStr	Analysis of genetic diversity in Argentinian heterotic maize populations using molecular markers
title_full_unstemmed	Analysis of genetic diversity in Argentinian heterotic maize populations using molecular markers
title_sort	analysis of genetic diversity in argentinian heterotic maize populations using molecular markers
publisher	Pontificia Universidad Católica de Chile. Facultad de Agronomía e Ingeniería Forestal
publishDate	2010
url	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-16202010000100015
work_keys_str_mv	AT moralesmarcelo analysisofgeneticdiversityinargentinianheteroticmaizepopulationsusingmolecularmarkers AT deckerviviana analysisofgeneticdiversityinargentinianheteroticmaizepopulationsusingmolecularmarkers AT ornellaleonardo analysisofgeneticdiversityinargentinianheteroticmaizepopulationsusingmolecularmarkers
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Analysis of genetic diversity in Argentinian heterotic maize populations using molecular markers

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