Agronomy Webinar | Quantitative Genetics in Plant Breeding
Meet Our Speakers
Prof. Dr. Zhenyu Jia
Department of Botany and Plant Sciences, University of California Riverside, The United States of America;
Zhenyu Jia received his BS degree in Biochemistry from Wuhan University (China), MS degree in Statistics and PhD in Genetics, Genomics and Bioinformatics from University of California Riverside (USA). He started his research and teaching career in 2013 with a joint faculty appointment at University of Akron and Northeast Ohio Medical University (USA). He moves to University of California Riverside as Assistant Professor in 2016. He is now Associate Professor of Genetics at UC Riverside and teaches Statistical Genomics (BPSC234). He published more than 80 technical journal articles.
On Tuesday, 13 December 2022, MDPI and the Journal Agronomy organized the 2nd Webinar of the Agronomy series, entitled “Quantitative Genetics in Plant Breeding”.
Agronomy and plant breeding is now challenged by the emergence of big data of multiple dimensions. How to choose proper parametric or nonparametric methodologies for genome-wide association study or genomic prediction with a good control on overfitting is critical. Integration of multi-type variants, including chromosome-scale haplotype information, in genomic analysis will significantly increase DNA-level resolution to disclose important genetic information. Specialized algorithms are needed to address model complexity for identifying genes with tiny and over-dominant effects. Prof. Dr. Zhenyu Jia, Prof. Dr. Shizhong Xu, and Prof. Dr. Yuan-Ming Zhang presented different solutions and insights on these topics. The presentations were followed by a Q&A session moderated by the chair.
The webinar was offered via Zoom and required registration to attend. The full recording can be found below. In order to stay updated on the next webinars on Agronomy, be sure to sign up for our newsletter by clicking on “Subscribe” at the top of the page.
Guest Editors: Dr. Yuan-Ming Zhang, Dr. Zhenyu Jia,Dr. Shang-Qian Xie, Dr. Jia Wen & Dr. Shi-Bo Wang
Deadline for manuscript submissions: 20 December 2022