Accelerating Climate-Resilient Hemp Breeding through Molecular Marker Technologies


Alsaleh A.

Sunum, ss.1, 2025

  • Yayın Türü: Diğer Yayınlar / Sunum
  • Basım Tarihi: 2025
  • Sayfa Sayıları: ss.1
  • Yozgat Bozok Üniversitesi Adresli: Evet

Özet

Industrial hemp (Cannabis sativa L.) is experiencing renewed global interest due to its sustainability and diverse industrial applications, including textiles, bio-composites, nutraceuticals, and pharmaceuticals. As climate change intensifies, developing hemp cultivars with improved adaptation to abiotic stressors, such as drought, salinity, and extreme temperatures, has become a priority. Conventional breeding efforts are challenged by the crop’s dioecious reproductive system, complex trait inheritance, and limited genomic resources.
Molecular marker technologies provide powerful tools to overcome these barriers, enabling faster, more accurate selection of elite genotypes. This presentation highlights recent advances in hemp molecular breeding, focusing on marker-assisted selection (MAS), genomic selection (GS), and genome-wide association studies (GWAS) to dissect quantitative traits related to stress resilience, cannabinoid biosynthesis, and fiber quality. Various marker systems, such as SSRs, SNPs, and DArTseq, are discussed, alongside their integration with high-throughput genotyping platforms and multi-omics datasets, including transcriptomics and metabolomics.
Furthermore, the application of RNA-Seq in gene expression profiling and CRISPR/Cas9 gene editing for targeted trait enhancement are explored. These strategies are instrumental for accelerating the development of hemp varieties that combine high productivity with environmental adaptability. Emphasis is placed on the urgent need for genomics-enabled breeding approaches to ensure hemp’s role in climate-resilient cropping systems. This contribution aligns with the RECROP Action’s overarching aim to improve crop reproductive success and resilience through cutting-edge biotechnology and integrative breeding strategies.