Multiple marker-traits associations for maize agronomic traits
2016
Autori
Mikić, SanjaKondić-Špika, Ankica
Brbaklić, Ljiljana
Stanisavljević, Dušan
Trkulja, Dragana
Tomičić, Marina
Nastasić, Aleksandra
Kobiljski, Borislav
Prodanović, Slaven
Šurlan-Momirović, Gordana
Članak u časopisu (Objavljena verzija)
Publisher's own license
Metapodaci
Prikaz svih podataka o dokumentuApstrakt
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 show...ed 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.
Ključne reči:
Association analysis / inbred lines / linkage / pleiotropy / SSR markers / Zea maysIzvor:
Chilean Journal of Agricultural Research, 2016, 76, 3, 300-306Izdavač:
- Inst Investigaciones Agropecuarias, Chillan
Finansiranje / projekti:
- Unapređenje proizvodnje kukuruza i sirka u uslovima stresa (RS-MESTD-Technological Development (TD or TR)-31073)
DOI: 10.4067/S0718-58392016000300006
ISSN: 0718-5839
WoS: 000387021600006
Scopus: 2-s2.0-84995679645
Kolekcije
Institucija/grupa
FiVeRTY - JOUR AU - Mikić, Sanja AU - Kondić-Špika, Ankica AU - Brbaklić, Ljiljana AU - Stanisavljević, Dušan AU - Trkulja, Dragana AU - Tomičić, Marina AU - Nastasić, Aleksandra AU - Kobiljski, Borislav AU - Prodanović, Slaven AU - Šurlan-Momirović, Gordana PY - 2016 UR - http://fiver.ifvcns.rs/handle/123456789/1587 AB - 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. PB - Inst Investigaciones Agropecuarias, Chillan T2 - Chilean Journal of Agricultural Research T1 - Multiple marker-traits associations for maize agronomic traits EP - 306 IS - 3 SP - 300 VL - 76 DO - 10.4067/S0718-58392016000300006 ER -
@article{ author = "Mikić, Sanja and Kondić-Špika, Ankica and Brbaklić, Ljiljana and Stanisavljević, Dušan and Trkulja, Dragana and Tomičić, Marina and Nastasić, Aleksandra and Kobiljski, Borislav and Prodanović, Slaven and Šurlan-Momirović, Gordana", year = "2016", abstract = "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.", publisher = "Inst Investigaciones Agropecuarias, Chillan", journal = "Chilean Journal of Agricultural Research", title = "Multiple marker-traits associations for maize agronomic traits", pages = "306-300", number = "3", volume = "76", doi = "10.4067/S0718-58392016000300006" }
Mikić, S., Kondić-Špika, A., Brbaklić, L., Stanisavljević, D., Trkulja, D., Tomičić, M., Nastasić, A., Kobiljski, B., Prodanović, S.,& Šurlan-Momirović, G.. (2016). Multiple marker-traits associations for maize agronomic traits. in Chilean Journal of Agricultural Research Inst Investigaciones Agropecuarias, Chillan., 76(3), 300-306. https://doi.org/10.4067/S0718-58392016000300006
Mikić S, Kondić-Špika A, Brbaklić L, Stanisavljević D, Trkulja D, Tomičić M, Nastasić A, Kobiljski B, Prodanović S, Šurlan-Momirović G. Multiple marker-traits associations for maize agronomic traits. in Chilean Journal of Agricultural Research. 2016;76(3):300-306. doi:10.4067/S0718-58392016000300006 .
Mikić, Sanja, Kondić-Špika, Ankica, Brbaklić, Ljiljana, Stanisavljević, Dušan, Trkulja, Dragana, Tomičić, Marina, Nastasić, Aleksandra, Kobiljski, Borislav, Prodanović, Slaven, Šurlan-Momirović, Gordana, "Multiple marker-traits associations for maize agronomic traits" in Chilean Journal of Agricultural Research, 76, no. 3 (2016):300-306, https://doi.org/10.4067/S0718-58392016000300006 . .