Current Issue
Plant Genetics and Diversity is an international, peer-reviewed journal dedicated to advancing research on plant genetics, breeding, and biodiversity. The journal provides a multidisciplinary platform for researchers, breeders, conservationists, and plant scientists to explore genetic variation, plant resources, and innovative breeding approaches that contribute to sustainable agriculture, biodiversity conservation, and global food security.
Topics of interest include, but are not limited to:
- Plant genomics and molecular breeding
- Genetic diversity of crops, wild relatives, and landraces
- Conservation, evaluation, and sustainable use of plant genetic resources
- Marker-assisted selection, genome editing, and biotechnology applications in breeding
- Trait improvement for yield, disease resistance, stress tolerance, and nutritional quality
- Population genetics, phylogenetic studies, and evolutionary analysis of plants
- Genebank development, germplasm preservation, and resource management
- Integration of plant diversity into breeding programs for climate adaptation
- Applied research linking plant genetic diversity to crop and ecosystem performance
- Emerging technologies and methodologies in plant genetics and biodiversity research
Recent Articles
-
Open Access Articles
Genetic Diversity and Stress-Resistant Gene Resource Mining of Wild Soybean (Glycine soja) Populations in East Asia
Hiroshi Tanaka
2025, 1(1): 1-12
71 (Viewed)
34 (Downloaded)
Download PDF
Wild soybean (Glycine soja), the wild ancestor of cultivated soybean (Glycine max), harbors abundant genetic diversity and valuable stress-resistant traits, which are crucial for soybean genetic improvement and sustainable agriculture. In this study, we systematically analyzed the genetic diversity of 286 wild soybean populations collected from major distribution areas in East Asia (China, Japan, Korea,... more
-
Open Access Articles
Genetic Diversity and Disease-Resistant Gene Mining of Wheat Landraces in the Mediterranean Basin
Elena S. Petrovic
2025, 1(1): 13-24
39 (Viewed)
36 (Downloaded)
Download PDF
Wheat landraces in the Mediterranean Basin are valuable genetic resources harboring rich diversity and adaptive traits, especially disease resistance, which is crucial for sustainable wheat production. In this study, 320 wheat landrace accessions collected from six Mediterranean countries (Spain, Egypt, Italy, Greece, Morocco, and Serbia) were analyzed for genetic diversity using 36 SSR markers and... more
-
Open Access Articles
Digital Twin-Enabled Security Situation Awareness for Cloud-Edge Computing: A Dynamic Mapping and Predictive Analysis Approach
Maria Garcia-Rodriguez
2025, 1(1): 25-36
39 (Viewed)
41 (Downloaded)
Download PDF
Security situation awareness (SSA) is essential for proactive defense in cloud-edge computing, but traditional methods struggle with heterogeneous entity mapping, multi-source data fusion and emerging threat prediction. Digital Twin (DT) offers a new technical path to address these bottlenecks. This study proposes a DT-Enabled SSA framework (DT-SSA), which builds a high-fidelity virtual mirror of cloud-edge... more
-
Open Access Articles
Cybersecurity Challenges in Cloud-Edge Computing Convergence: A Systematic Analysis and Adaptive Defense Framework
Rajesh K. Narayan
2025, 1(1): 37-48
34 (Viewed)
240 (Downloaded)
Download PDF
Cloud-edge convergence, integrating cloud scalability and edge real-time processing, has become the foundational architecture for latency-sensitive applications like autonomous driving and smart healthcare, while optimizing performance and cutting bandwidth costs. However, its distributed and heterogeneous nature brings unprecedented cybersecurity challenges beyond traditional centralized defense mechanisms. This study systematically analyzes cloud-edge vulnerabilities across four layers: edge... more
-
Open Access Articles
Federated Learning-Driven Privacy-Preserving and Security Defense for Cloud-Edge Computing: A Hierarchical Collaborative Framework
Anna Kowalska
2025, 1(1): 49-60
79 (Viewed)
70 (Downloaded)
Download PDF
Cloud-edge computing, integrating cloud computing’s robust computing capacity and edge computing’s low-latency response, underpins data-intensive applications like smart cities and industrial IoT. However, its distributed edge data carries severe privacy leakage risks during cloud transmission, and edge nodes’ open access makes systems vulnerable to malicious attacks. Federated Learning (FL), enabling collaborative model training without raw... more