Abstract
AbstractEgyptian cultivated Cotton significantly impacted Egypt's economy, as it is well-known worldwide. This study aims to determine how much genetic and phenotypic variation exists in five different varieties of Egyptian Cotton using Inter Simple Sequence Repeats (ISSR) as a molecular marker and twenty-one quantitative and qualitative morphological traits as a taxonomic source in the development and evolution of this plant. Eleven ISSR primers were used, producing a total of 134 bands with a polymorphism percentage of 67%. Positive and negative significant Pearson correlations were found among the studied morphological traits in line with the phenotypic correlations in some characteristics. The genotypic correlation coefficient was higher in magnitude than that of phenotypic correlation. The five varieties were grouped into two major clusters using the UPGMA method based on morphological and ISSR analysis. The first one included G86 and G89 varieties, while the second cluster included G80 and G95; the G90 was separated from the other four varieties. This genetic relationship may be attributed to their similar ancestors. The information from this study should help with cotton breeding efforts to attain a high level of germplasm diversity and develop new high-yielding types to enhance cotton production and quality.
Publisher
Springer Science and Business Media LLC
Subject
Plant Science,Genetics,Agronomy and Crop Science,Ecology, Evolution, Behavior and Systematics
Reference60 articles.
1. Abd El-Moghny AM, Mariz SM, Reham HAG (2015) Nature of genetic divergence among some cotton genotypes. J Cotton Sci 19:368–374
2. Abdelbary AM, Hamoud HM, Yehiya WM, Abdelmoghny AM, Rabi ME, Samia EA, Orabi MH, Max SM et al (2021) Giza 97" a new Egyptian long staple cotton variety. Egypt J Agric Res 99:284–295
3. Abdellatif KF, Khidr YA, El-Mansy YM, El-Lawendey MM, Soliman YA (2012) Molecular diversity of Egyptian cotton (Gossypium barbadense L.) and its relation to varietal development. J Crop Sci Biotechnol 15:93–99
4. Addinsoft (2021) XLSTAT statistical and data analysis solution. New York, USA. https://www.xlstat.com
5. Adhikari S, Saha S, Bandyopadhyay TK, Ghosh P (2015) Efficiency of ISSR marker for characterization of Cymbopogon germplasms and their suitability in molecular barcoding. Plant Syst Evol 301:439–450
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