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RSFAS Seminar | Dr Zitong Li

RSFAS Seminar | Dr Zitong Li

Speaker: Dr Zitong Li, CSIRO

Title: Genomic prediction of cotton fibre quality traits using high dimensional linear models

Abstract: Genomic selection is a molecular breeding technique that utilizes the genome-wide DNA marker data to estimate breeding values of economically important traits. GS has been applied for various major crop species such as wheat, maize, soybean and rice. In GS, prediction of continuous phenotype outcome based on large scale genomic data plays a central role. Various high dimensional linear mixed models and machine learning methods have been proposed for conducting genomic prediction. In CSIRO, we aim to develop a genomic selection routine for cotton. In this talk, I will give a brief introduction of this project, focusing on evaluating several Bayesian linear regression and machine learning methods for conducting genomic predictions on important cotton traits such as fibre qualities and yield, and highlight the challenges due to the complexity of the data.

Updated:   20 August 2020 / Responsible Officer:  CBE Communications and Outreach / Page Contact:  College Web Team