Genetic Diversity Of Andropogon Species With Different Microsatellite Markers For Better Selection And Improvement

Author:

Akinyemi B.T.,Okukenu O.A.,Dele P.A.,Kalenikanse O.B.,Wheto M.,Sanda F.,Jolaosho A.O.

Abstract

Pastures have over the years been selected for important traits and their breeding has resulted in some high yielding forage grasses with great adaptive and population expansion traits. The research was carried out to study genetic diversity of nine Andropogon spp. sourced from Remo zone of Ogun State using four microsatellite markers (Phil227562, Xcup63, CTM59, and Xcup14). Genomic DNA was extracted from succulent leaf part of Andropogon grass using DNA extraction procedure of Zymo spin™ technology. Every one of the loci–populace is in with Hardy–Weinberg equilibrum. A sum of eight alleles were noticed and the quantity of alleles per locus has an estimation of 2.00, while the number of alleles ranged from 1.528 (Phil227562) to 1.946 (Xcup63). The viable number of alleles was lesser than noticed number at all the loci. The Shannon's Information Index differed among the loci with 0.530 (Phil227562) to 0.679 (Xcup63) though Inbreeding coefficient across the Andropogon grass clones was negative (mean = - 0.429), going from 0.07 (Phil 227562) to 0.714 (Xcup63) with 100% polymorphic loci. The noticed heterozygosity was higher than expected heterozygosity for all markers of the grass considered.

Publisher

African Journals Online (AJOL)

Subject

Genetics,Animal Science and Zoology

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Analysis of Selected Marker Studies on Minor Poaceae Forages;Black Sea Journal of Agriculture;2023-05-01

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3