Molecular Breeding
Molecular breeding utilizes advanced technologies based on omics data (multi-omics) and data mining to modify genetic structures and intelligently select plants, animals, or microorganisms to improve their specific characteristics. In collaboration with other relevant institutions, the Molecular Breeding Program at the Agricultural Biotechnology Research Institute (ABRII) employs a multi-dimensional approach leveraging genomics studies, metabolic engineering, data management, and bioinformatics. This project integrates large-scale data from genomic sequences, gene expression, proteome, and metabolome profiles to identify key genes and metabolic pathways. The development of smart molecular tools enables precise genetic studies to enhance product traits. Furthermore, breeding pathways are optimized by applying artificial intelligence, which analyzes the complexities of genetic networks and biochemical pathways and creates predictive algorithms. The program aims to enhance production quality and quantity, increase tolerance to abiotic stresses, develop resistance to biotic stresses, sustainably exploit indigenous genetic resources, and mitigate the impacts of climate change on strategic agricultural products, such as the Arian chicken breed, sheep, field crops, horticultural products, and fisheries.
Project Manager & Leader
Assoc. Prof. Dr. Mehrshad Zeinolabedini
Assoc. Prof. Dr. Mehrshad Zeinolabedini
Job/Student Positions
Assoc. Prof. Dr. Mehrshad Zeinolabedini
Assoc. Prof. Dr. Mehrshad Zeinolabedini
Assoc. Prof. Dr. Mehrshad Zeinolabedini
Assoc. Prof. Dr. Mehrshad Zeinolabedini
Contact Us
For more information, please contact the email of the project manager/executor/executor