کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4406387 1618679 2015 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Assessment of genetic diversity among faba bean genotypes using agro-morphological and molecular markers
ترجمه فارسی عنوان
ارزیابی تنوع ژنتیکی در ژنوتایپ های باقلا با استفاده از نشانگرهای کشاورزی و مورفولوژیکی و مولکولی
موضوعات مرتبط
علوم زیستی و بیوفناوری علوم محیط زیست بوم شناسی
چکیده انگلیسی

Forty faba bean (Vicia faba L.) genotypes were evaluated for their agro-morphological performance and molecular diversity under Central Region of Saudi Arabia conditions during 2010–11 and 2011–12 seasons. Field performance results showed that faba genotypes exhibited a significant amount of variation for their agro-morphological studied parameters. Giza40 recorded the tallest genotype (139.5 cm), highest number of seeds per plants (100.8), and the highest seed yield per plant (70.8 g). The best performing genotypes were Giza40, FLIP03-014FB, Gazira1 and Goff1. Genetic variability among genotypes was determined using Sequence Related Amplified Polymorphism (SRAP) and Amplified Fragment Length Polymorphism (AFLP) markers. A total of 183 amplified fragments (alleles) and 1758 polymorphic fragments (bands) in SRAP and 202 alleles and 716 bands in AFLP were obtained using six SRAP and four AFLP primer combinations respectively. Polymorphism information content (PIC) values for AFLP and SRAP markers were higher than 0.8, indicating the existence of a considerable amount of genetic diversity among faba tested genotypes. The UPGMA based clustering of faba genotypes was largely based on origin and/or genetic background. Result of cluster analysis based on SRAP showed weak and not significant correlation while, it was highly significant based on AFLP analysis with agro-morphological characters (r = 0.01, p > 0.54 and r = 0.26, p < 0.004 respectively). Combined SRAP and AFLP markers proved to be significantly useful for genetic diversity assessment at molecular level. They exhibited high discrimination power, and were able to distinguish the faba bean genotypes with high efficiency and accuracy levels.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Saudi Journal of Biological Sciences - Volume 22, Issue 3, May 2015, Pages 340–350
نویسندگان
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