Combining Pedigree and Genomic Data into Plant Breeding GBLUP Analyses In this webinar we discuss and illustrate the genetic analyses that combine pedigree-based and genomic-based relationship matrices into a single analysis. This is often referred to as single-step-GBLUP (ssGBLUP) or HBLUP. We will use several R libraries and a public dataset to demonstrate how it is done, discuss the associated challenges and look at other uses for these types of analyses. If you would like the R code used in the webinar, please email your request to support@vsni.co.uk Also Subscribe for more videos

Led by the esteemed Dr. Salvador Gezan, the session delved into statistical techniques for optimizing field trial designs in plant breeding. Topics covered included incomplete blocks, row-column designs, Latinization, sparse testing, unreplicated trials, spatially generated designs, and pedigree-based randomization. Dr. Salvador Gezan also discussed the setup of linear mixed models and optional spatial analyses, shedding light on the software used and providing valuable guidelines for future implementations. Better experimental designs mean increased accuracy of genetic effects, paving the way for amplified genetic gains in the future. If you missed it, you can catch up on the insightful discussion!

Let's talk about Statistical Consulting. Follow us on Spotify https://open.spotify.com/show/1bN4QQkzySil4Kj4MjX7CE?si=b067cf460c004494