Aug 2026· Journal of Cotton Research· Vol 9· 0 citations· 122 references
Abstract
Egyptian cotton, derived primarily from Gossypium barbadense L., has shaped the country’s agricultural economy and international reputation for nearly two centuries. Among these, the Giza varieties—renowned for their exceptional fiber length, fineness, and strength—have garnered global recognition and made substantial contributions to export revenues and rural livelihoods. This review systematically analyzes more than 120 scientific publications from the past 30 years. It synthesizes research advances in Egypt, focusing on germplasm resources, fiber anatomical characteristics, variety improvement, and the integration of molecular and biotechnological tools. Progress in molecular markers, quantitative trait locus (QTL) mapping, and genome-wide association studies (GWAS) is highlighted for its role in dissecting traits related to fiber quality and stress tolerance. Experimental transformation studies and functional genomics have provided proof-of-concept for genes involved in insect resistance and fiber development. At the same time, genome editing—particularly clustered regularly interspaced short palindromic repeats/CRISPR-associated protein (CRISPR/Cas) systems—represents an emerging frontier for precise trait improvement in G. barbadense. Molecular markers have been used to assess genetic diversity within Egyptian cotton germplasm, enabling the development of unique varietal fingerprints and guiding breeding programs to improve yield, quality, and stress resilience. Techniques such as QTL mapping and GWAS facilitate the identification of genomic regions underlying key traits, thereby establishing a foundation for marker-assisted selection. Specific Egyptian varieties—including Giza 94 (a heat-tolerant variety), Giza 95 (a drought-tolerant variety), and Giza 90/Giza 97 (salinity-tolerant varieties)—have demonstrated measurable stress resilience in controlled and field trials. However, formal release designations for these traits remain lacking. Concurrently, functional genomics approaches have enabled the characterization of genes involved in fiber development in Egyptian cotton. Furthermore, biotechnological innovations—including experimental Bt-transformation and the emerging precision of CRISPR/Cas genome editing—offer promising pathways to introduce adaptive traits more efficiently.
This comprehensive review demonstrates that shifting from reactive field evaluation to marker-driven, genomics-assisted precision design provides the definitive molecular framework required to engineer high-yielding, climate-resilient, and disease-proof cacao cultivars, thereby permanently safeguarding the long-term ec...
Atharva Gangurde, Adesina Christiana, Franc Olivier Nzogang· International Journal of Inn...· 0 citations
These findings confirm low genetic diversity within C. sativa populations, which has significant implications for breeding strategies aimed at improving yield and resilience in industrial applications and genome-wide association studies and marker-assisted selection to enhance genetic gains.
Parnian Karimzadeh, Sajad Rashidi-Monfard, D. Kahrizi et al.· BMC Plant Biology· 0 citations
It is concluded that genomic technologies can strengthen ornamental breeding when supported by reliable phenotyping, validated trait associations, appropriate regulatory pathways, and sustained collaboration between research and commercial breeding sectors.
M. F. Narbin, Beena Thomas· Journal of Advances in Biolo...· 0 citations
This review synthesizes the transformative evolution of rapeseed genomics, traversing from initial fragmented references to the modern era of gap-free Telomere-to-Telomere (T2T) assemblies and graph-based pan-genomes, and underscores the pivotal shift from descriptive genomics to the precision engineering of climate-re...
The production of cotton (Gossypium spp.) faces significant challenges, including stagnating yields, climate change, and both biotic and abiotic stresses, while conventional breeding remains time-consuming and inefficient. This review summarizes recent advances in functional gene mining using molecular markers, genome-...
Long Chen, Shujuan Li, Xiaoyu Wang et al.· Journal of Cotton Research· 0 citations
Exploring how generative AI could make machine vision more accessible to businesses. The post GenEye in a Box: Making Machine Vision Something You Can Just Ask For appeared first on GPT-Lab.