Since the economic value of cultivar depends on different characteristics, thus detailed knowledge on genetic behavior and identification of genomic loci linked to these traits will help to improve plant cultivars. In this investigation, relation and linkage between of 30 microsatellite markers with some of important agromorphological traits in 106 different sunflower lines was evaluated through GLM and MLM association models in Structure and TASSEL software. Based on the 30 microsatellite markers used in this study, population genetic structure subdivided into five subpopulations (K=5) that barplat results also confirmed it. In association analysis based on GLM and MLM models, 9 and 16 loci showed significant relation with assessed traits, respectively, and explained considerable variations of this studied traits. In this study, some co-localized QTLs were identified for studied traits. Common markers between of traits can be due to pleiotropic effects or linkage between of genomic regions involved in these traits. Results of the current study presented useful information about the genetic basis of the studied traits and can be used in different sunflower breeding programs including marker aided selection. In future studies, coding genes of important agronomical traits could be identified by sequencing of loci with highest R2 (ORS1209, ORS822 and ORS649). Markers with highest association to traits can be used for saturating linkage maps.
- حق عضویت دریافتی صرف حمایت از نشریات عضو و نگهداری، تکمیل و توسعه مگیران میشود.
- پرداخت حق اشتراک و دانلود مقالات اجازه بازنشر آن در سایر رسانههای چاپی و دیجیتال را به کاربر نمیدهد.