Genetic associations in the detection of QTLs for wheat spike-related traits

Pesquisa Agropecuária Brasileira

Ljiljana Brbaklić¹  Dragana Trkulja¹  Ankica Kondić-Špika¹  Nikola Hristov¹  Srbislav Denčić¹  Sanja Mikić¹  Marina Tomičić¹  Borislav Kobiljski¹ 

关键词: Triticum aestivum;    genetic resources;    microsatellites;    population structure;    spike-related traits.;    Triticum aestivum;    recursos genéticos;    microssatélites;    estrutura da população;    características da espiga.;   

DOI  :  10.1590/S0100-204X2015000200007

来源: SciELO

【 摘 要 】

The objective of this work was to assess the genetic diversity and population structure of wheat genotypes, to detect significant and stable genetic associations, as well as to evaluate the efficiency of statistical models to identify chromosome regions responsible for the expression of spike-related traits. Eight important spike characteristics were measured during five growing seasons in Serbia. A set of 30 microsatellite markers positioned near important agronomic loci was used to evaluate genetic diversity, resulting in a total of 349 alleles. The marker-trait associations were analyzed using the general linear and mixed linear models. The results obtained for number of allelic variants per locus (11.5), average polymorphic information content value (0.68), and average gene diversity (0.722) showed that the exceptional level of polymorphism in the genotypes is the main requirement for association studies. The population structure estimated by model-based clustering distributed the genotypes into six subpopulations according to log probability of data. Significant and stable associations were detected on chromosomes 1B, 2A, 2B, 2D, and 6D, which explained from 4.7 to 40.7% of total phenotypic variations. The general linear model identified a significantly larger number of marker-trait associations (192) than the mixed linear model (76). The mixed linear model identified nine markers associated to six traits.

【 授权许可】

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