Description of course still in development. If you need more information on this course, please reach out to us at education@irri.org. Thank you.
Phenotyping Protocols for Abiotic Stress Tolerance in Rice (Screening for Submergence, Salinity, Drought Tolerance)
Description of this course is still in development. If you need more information on this course, please reach out to us at education@irri.org. Thank you.
Read MoreORYZA Training Program for Practical Applications
This training program will familiarize the participants with the functions and the data requirements to run the ORYZA model, experimental data collection for model outputs evaluation, calibration of parameters, practical application of ORYZA, and introduction of the new features developed in the model.
Read MoreMolecular Breeding for Product Development
This course covers the stages and components of a molecular breeding program with specific focus on product development.
Read MoreIntroduction to Statistics and Design of Experiments
It is intended for anyone involved in planning, or executing biological or agricultural experiments or breeding trials.
Read MoreIntroduction to Quantitative Genetics
This course introduces the basic principles and concepts of quantitative genetics that are important for understanding genetic improvement in breeding populations and how to make more effective selection decisions.
Read MoreImpact Acceleration
Description of course still in development. If you need more information on this course, please reach out to us at education@irri.org. Thank you.
Hybrid Rice Technology Workshop
The two-day workshop is especially designed to cater to the information needs of executives, policy makers and managers on hybrid rice technology.
Read MoreHybrid Rice Seed Production Training
This training course is a training of trainers program which aims to build the capacities of partners in the public and private sector on hybrid rice seed production.
Read MoreGeospatial Analytics using R
The aim of this course is to demonstrate and teach geospatial analytics using R, an open-source programming language for statistical computing.
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