Multiple marker-traits associations for maize agronomic traits

Association analysis is a relatively novel approach in quantitative traits studies that allows high resolution mapping and time efficient and direct application on breeding material. Since the markers, which are close to the quantitative trait loci stable across environments and genetic backgrounds,...

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Autores principales:	Mikic,Sanja, Kondic-Spika,Ankica, Brbaklic,Ljiljana, Stanisavljevic,Dusan, Trkulja,Dragana, Tomicic,Marina, Nastasic,Aleksandra, Kobiljski,Borislav, Prodanovic,Slaven, Surlan Momirovic,Gordana
Lenguaje:	English
Publicado:	Instituto de Investigaciones Agropecuarias, INIA 2016
Materias:	Association analysis inbred lines linkage pleiotropy SSR markers Zea mays
Acceso en línea:	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-58392016000300006
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spelling	oai:scielo:S0718-583920160003000062018-10-01Multiple marker-traits associations for maize agronomic traitsMikic,SanjaKondic-Spika,AnkicaBrbaklic,LjiljanaStanisavljevic,DusanTrkulja,DraganaTomicic,MarinaNastasic,AleksandraKobiljski,BorislavProdanovic,SlavenSurlan Momirovic,Gordana Association analysis inbred lines linkage pleiotropy SSR markers Zea mays Association analysis is a relatively novel approach in quantitative traits studies that allows high resolution mapping and time efficient and direct application on breeding material. Since the markers, which are close to the quantitative trait loci stable across environments and genetic backgrounds, may be valuable for marker assisted selection, we chose microsatellite markers previously linked to traits of interest in various mapping studies. A set of 36 microsatellite markers positioned near important maize (Zea mays L.) agronomic loci was used to evaluate genetic diversity and determine population structure. To verify the associations between the markers and traits, a panel of diverse maize inbred lines was genotyped with microsatellites and phenotyped for flowering time, yield and yield components. A relatively high level of polymorphism detected in number of alleles per locus (8.2), average polymorphic information content value (0.64), and average gene diversity (0.684) lines showed the analyzed panel of maize inbred contained significant genetic diversity and was suitable for association mapping. The population structure estimated by model-based clustering method grouped maize inbred lines into three clusters. The association analysis using the general linear and mixed linear models determined significant correlations between several agronomic traits and three microsatellites on chromosomes 3, 5, and 8, namely umc1025, bnlg1237, and bnlg162 consistent across the environments, explaining from 4.7% to 18.2% of total phenotypic variations. The results suggest that the chromosome regions containing quantitative trait loci (QTLs) associated with multiple yield-related traits consistently across environments are potentially important targets for selection.info:eu-repo/semantics/openAccessInstituto de Investigaciones Agropecuarias, INIAChilean journal of agricultural research v.76 n.3 20162016-09-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-58392016000300006en10.4067/S0718-58392016000300006
institution	Scielo Chile
collection	Scielo Chile
language	English
topic	Association analysis inbred lines linkage pleiotropy SSR markers Zea mays
spellingShingle	Association analysis inbred lines linkage pleiotropy SSR markers Zea mays Mikic,Sanja Kondic-Spika,Ankica Brbaklic,Ljiljana Stanisavljevic,Dusan Trkulja,Dragana Tomicic,Marina Nastasic,Aleksandra Kobiljski,Borislav Prodanovic,Slaven Surlan Momirovic,Gordana Multiple marker-traits associations for maize agronomic traits
description	Association analysis is a relatively novel approach in quantitative traits studies that allows high resolution mapping and time efficient and direct application on breeding material. Since the markers, which are close to the quantitative trait loci stable across environments and genetic backgrounds, may be valuable for marker assisted selection, we chose microsatellite markers previously linked to traits of interest in various mapping studies. A set of 36 microsatellite markers positioned near important maize (Zea mays L.) agronomic loci was used to evaluate genetic diversity and determine population structure. To verify the associations between the markers and traits, a panel of diverse maize inbred lines was genotyped with microsatellites and phenotyped for flowering time, yield and yield components. A relatively high level of polymorphism detected in number of alleles per locus (8.2), average polymorphic information content value (0.64), and average gene diversity (0.684) lines showed the analyzed panel of maize inbred contained significant genetic diversity and was suitable for association mapping. The population structure estimated by model-based clustering method grouped maize inbred lines into three clusters. The association analysis using the general linear and mixed linear models determined significant correlations between several agronomic traits and three microsatellites on chromosomes 3, 5, and 8, namely umc1025, bnlg1237, and bnlg162 consistent across the environments, explaining from 4.7% to 18.2% of total phenotypic variations. The results suggest that the chromosome regions containing quantitative trait loci (QTLs) associated with multiple yield-related traits consistently across environments are potentially important targets for selection.
author	Mikic,Sanja Kondic-Spika,Ankica Brbaklic,Ljiljana Stanisavljevic,Dusan Trkulja,Dragana Tomicic,Marina Nastasic,Aleksandra Kobiljski,Borislav Prodanovic,Slaven Surlan Momirovic,Gordana
author_facet	Mikic,Sanja Kondic-Spika,Ankica Brbaklic,Ljiljana Stanisavljevic,Dusan Trkulja,Dragana Tomicic,Marina Nastasic,Aleksandra Kobiljski,Borislav Prodanovic,Slaven Surlan Momirovic,Gordana
author_sort	Mikic,Sanja
title	Multiple marker-traits associations for maize agronomic traits
title_short	Multiple marker-traits associations for maize agronomic traits
title_full	Multiple marker-traits associations for maize agronomic traits
title_fullStr	Multiple marker-traits associations for maize agronomic traits
title_full_unstemmed	Multiple marker-traits associations for maize agronomic traits
title_sort	multiple marker-traits associations for maize agronomic traits
publisher	Instituto de Investigaciones Agropecuarias, INIA
publishDate	2016
url	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-58392016000300006
work_keys_str_mv	AT mikicsanja multiplemarkertraitsassociationsformaizeagronomictraits AT kondicspikaankica multiplemarkertraitsassociationsformaizeagronomictraits AT brbaklicljiljana multiplemarkertraitsassociationsformaizeagronomictraits AT stanisavljevicdusan multiplemarkertraitsassociationsformaizeagronomictraits AT trkuljadragana multiplemarkertraitsassociationsformaizeagronomictraits AT tomicicmarina multiplemarkertraitsassociationsformaizeagronomictraits AT nastasicaleksandra multiplemarkertraitsassociationsformaizeagronomictraits AT kobiljskiborislav multiplemarkertraitsassociationsformaizeagronomictraits AT prodanovicslaven multiplemarkertraitsassociationsformaizeagronomictraits AT surlanmomirovicgordana multiplemarkertraitsassociationsformaizeagronomictraits
_version_	1714205361160847360

Multiple marker-traits associations for maize agronomic traits

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