The purpose of this course is to provide participants with a basic quantitative and statistical framework to apply GS in a routine manner, with a focus on the application of plant breeding concepts through practical exercises in R. The course will cover the relevant theory of GS models and provide hands-on experience with relevant GS techniques. The teaching approach is based on problem-based learning, where participants will work on real-world problems and learn to develop solutions using GS methods. By the end of the course, participants will have gained a comprehensive understanding of the theory and practical application of GS in plant breeding, which will equip them with the necessary skills to apply this powerful tool in their own research or breeding programs.
This course is aimed at plant or animal breeder scientists, graduate students, postdocs, and professionals in the field of plant-crop/animal production who are interested to learn concepts in a problem-based learning approach. Although, the course is not aimed at researchers with advanced statistical skills. Participants should be familiar with plant breeding and statistical concepts. Course tutorials will use statistical packages in R, and experience in R is recommended but is not essential. A certificate of attendance will be provided at the end of the course. This course will be equivalent to 5 credits. For those participants who wish to obtain a certificate of attendance of the equivalence of five credit modules, a series of reading and exercises will be provided before, during and after the course to assure the student achieves the learning outcomes.
The tentative main hub for the course will be the CIP-China Center for Asia Pacific (CCCAP) at Yanqing, Beijing, China.:
https://goo.gl/maps/83wMZ5tyfxMjrC7f7. From Chinese mainland, please check this link https://j.map.baidu.com/d6/19Ac
During the course, class notes will be provided, and we will utilize a Dropbox/Google Drive folder to share R code, lectures, and exercises. Please ensure that you bring your personal computer. To run the analysis, it is essential to have R and RStudio installed on your computer. Prior to the course start, you will receive instructions on installing packages and other important notes. Students will work with real plant breeding program datasets.
The expenses include shared accommodation, with an en suite bathroom at CCCAP Yanqing campus.
Please note that only shared accommodation options are available. Individuals who prefer non-shared arrangements are responsible for finding their own accommodation and the registration fee does not change.
• Fill out the online registration application (bottom of the website or link on the menu).
• After the registration application, you will receive an email confirmation.
• Complete the course tuition payment according to the email prompt (International/Domestic).
• For international participants, there will be guidance on the Chinese visa application process.
For further information do not hesitate to contact at j[email protected]. Looking forward to seeing you in Beijing, China.
Organizers maintain the right to cancel the course due to unforeseen circumstances or if the number of participants in less than 20 (which is highly unlikely). In the event of course cancellation due to insufficient registrations, participants will be notified one month prior to the course commencement. We kindly request that you refrain from making any transportation arrangements until you receive further notification. If enrollment exceeds capacity, another course may be considered later in the year.
Please note the deadline for registering for this program is August 20th August 2023.