Recent Advances in Hybrid Rice Breeding Training Course
Course Description
Over the last few decades, global rice production has doubled from 257 to 600 million tons. This growth has mainly been achieved through the application of conventional plant breeding methods, coupled with improved production technologies. To meet the growing population, we need to produce 25% more rice by 2025. This increase in rice production must come with less land, water, chemicals, and labor. Many biotic and abiotic stresses continue to pose significant threats to rice productivity and sustainability. The major challenge is to overcome these constraints and produce high-yielding rice varieties with resistance to both biotic and abiotic stresses, while also improving grain quality and nutritional value. The latest advances in biotechnology and genomics offer new opportunities to address these limiting factors in rice production. New approaches are crucial to accelerating current breeding programs.
Course Overview
This course covers the stages and components of a rice breeding program, with a specific focus on product development, and provides participants with an in-depth understanding of the latest developments and techniques in hybrid rice breeding.
Course Objectives
- Describe the "One IRRI rice breeding strategy" and its role in global rice breeding efforts;
- Identify the key stages and components of a hybrid rice breeding program and their interconnections;
- Demonstrate proficiency in the tools and techniques used in modern rice breeding practices; and
- Explore the latest hybrid rice breeding initiatives at IRRI and gain insights into their potential applications.
Learning Modality
The course will be delivered in person through a combination of lectures, hands-on training, and field visits.
Key Modules
- Rice Breeding at IRRI
- Hybrid Rice Technology
- Direct Seeded Rice Breeding
- Overview of Molecular Breeding
- Abiotic Stress Phenotyping (Salinity & Drought)
- Drone Phenotyping
- Genomic Selection for Abiotic Stresses
- Bioinformatics Software and Databases
- AI and Machine Learning
- Overview of GHG Emission
Training Duration: April 24 to May 5, 2025
Deadline of Application: March 10, 2025
Course Fee
External participants with accommodation - USD 1,541
External participants without accommodation - USD 1,368
IRRI staff - USD 649