Genetic Tools for Sustainable Management and Conservation of Forest Genetic Resources: Opportunities and Challenges
Biotechnology Journal International · pp. 55–65 · Published 28 Sep 2025
10.9734/bji/2025/v29i5795Abstract
The management of forest trees has long been a critical challenge in the field of forestry, as these essential natural resources face numerous threats, from climate change and pests to deforestation and unsustainable harvesting practices. Maintaining the resilience and adaptability of forest ecosystems to global changes has become a crucial challenge for forest management. The application of genetic tools can play a pivotal role in enhancing the adaptive capacity of forest tree species and ensuring their long-term sustainability. The study aims to investigate the application of genetic tools for the management of forest genetic resources. In recent years, there has been growing interest in the application of genetic tools to address these challenges and enhance the resilience and sustainability of forest ecosystems. One of the key strategies in this regard is the use of genetic data to inform forest management decisions. Powerful forward-genetic techniques, such as DNA/RNA sequencing technologies, marker-based trait selection, quantitative trait locus mapping, genome-wide association studies, and nested association mapping, have been instrumental in pinpointing the genomic regions and underlying causative mutations responsible for traits like yield, stress resistance, and metabolic profiles. The analysis of genetic markers can help identify trees with desirable traits, such as resistance to pests or adaptations to changing climatic conditions. This information can then be used to selectively breed or propagate these high-performing individuals, thereby enhancing the overall genetic diversity and resilience of the forest. Furthermore, genetic tools can also be leveraged to monitor and respond to emerging threats, such as the spread of invasive species or the onset of disease outbreaks. By tracking the genetic profiles of these pests and pathogens, forest managers can develop early warning systems and deploy targeted management strategies to mitigate their impact. As the challenges facing forest ecosystems continue to grow, the application of genetic tools presents a promising approach to enhance the long-term sustainability and resilience of these vital natural resources. In this review, we have highlighted the application of genetic tools in the management of forest genetic resources. The application of genetic tools in forest management has the potential to significantly enhance the resilience and adaptability of forest ecosystems to the challenges posed by global change. By providing insights into the genetic diversity, adaptation mechanisms, and ecosystem function of forests, these tools can enable forest managers to make more informed decisions and develop strategies that balance the various objectives of forest management.
Cited by 0
No indexed citations yet.
Related research
- Contributions of Indigenous Knowledge of Gorilla (Gorilla gorilla diehi), Chimpanzee (Pan troglodytes ellioti) and Buffalo (Syncerus caffer) Conservation, in Waindow, North West Cameroon — shares topic coverage
- Carbon Storage in Equatorial Forest Soil-litter Systems as a Function of Management Intensity and Type of Vegetation Cover — shares topic coverage
- Road to Stream Connectivity: Implications for Forest Water Quality in a Sub-Tropical Climate — shares topic coverage
- Forest Governance Effectiveness of Community- and Government-managed Forests in Cameroon — shares topic coverage
- Status, Challenges and Mitigation Strategies of Production of Non Timber Forest Products in Mundemba Municipality, Southwest Region Cameroon — shares topic coverage
Article metrics
Real usage data collected on this platform.
0
Page views
0
PDF downloads
0
Outbound clicks
0
Citations
Views by country
Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".
No views recorded yet.
Traffic sources
Referring site, by host.
No traffic recorded yet.
Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.