ISSR Analysis for Determination of genetic diversity in ۲۹ olive (Olea europaea L.) cultivars
سال انتشار: 1397
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 147
فایل این مقاله در 10 صفحه با فرمت PDF قابل دریافت می باشد
- صدور گواهی نمایه سازی
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_IJGPB-7-1_004
تاریخ نمایه سازی: 15 آذر 1400
چکیده مقاله:
Olive tree is one of the most important oleaginous crops in the world, and known for having large genetic variability. Application of molecular markers is a suitable tool to investigate the genetic pool in crops. Therefore, in the current study ۲۹ olive cultivars were tested by ten primers constituted by inter simple sequence repeats (ISSR). Plant materials were obtained from the collection of Tarom Agricultural Research Center in ۲۰۱۵. Genomic DNA was extracted from fresh leaves of ۲۹ cultivars by a modified CTAB method. Ten ISSR primers were used and obtained data were scored. An analysis of primer informativeness showed that all primers were productive and effective in separating olive cultivars. Nevertheless, some of them were more effective such as UBC ۸۵۵ and UBC ۸۲۵ primers. According to cluster analysis and genetic distance, the olive cultivars were separated into three major clusters. Majority of the cultivars from southern and central Mediterranean such as; Italian, Spanish and Grecian olive cultivars clustered in one group. Results of the current study suggest that Mediterranean olive germplasm were structured into two main gene pools, which strongly matched two distinct geographic areas, i.e. western and central as well as eastern Mediterranean regions.
کلیدواژه ها:
نویسندگان
علیرضا قنبری
Department of Horticultural Sciences, Faculty of Agriculture and Natural Resources, University of Mohaghegh Ardabili, P. O. Box: ۵۶۱۹۹-۱۱۳۶۷, Ardebil, Iran
اصغر استاجی
Department of Horticultural Sciences, Faculty of Agriculture and Natural Resources, University of Mohaghegh Ardabili, P. O. Box: ۵۶۱۹۹-۱۱۳۶۷, Ardebil, Iran
مراجع و منابع این مقاله:
لیست زیر مراجع و منابع استفاده شده در این مقاله را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود مقاله لینک شده اند :