| Join Now
Please join us in person or online for our June Queensland Branch Meeting. The seminar will start at 5:00 pm. Details for the seminar are provided below.
TITLE: Statistical approaches for analysing multi-environment trials
SPEAKER: Dr Vivi Arief, University of Queensland (https://researchers.uq.edu.au/researcher/1424)
TIME: 5:00 - 6:00 pm (AEST), 26th June 2024
VENUE: 314 Teaching Suite, UQ, 308 Queen Street, Brisbane and online (Zoom details will be sent with registration). Special instructions for in-person venue:
Enter through the main door at 308 Queen Street and pass through the Atrium. Speak to the concierge at the elevator located at the back of the room, and notify them that you are attending the Statistical Society of Australia event.
Please note that the seminar will be recorded and might be put on YouTube or similar platform.
ABSTRACT:
The main objective of any breeding program is to select genotypes that perform well in the target population environments (TPEs), i.e. farmer fields. However, genotype-by-environment interaction complicates this selection process, as genotypes could be performed differently in different environments. Therefore, these genotypes are tested in multi-environment trials (METs) to predict their performance in TPEs. The performance in the METs is used to predict the genotype's performance in the TPEs. This talk will provide an overview of the statistical methods used to analyse multi-environment trials in crop breeding.
SPEAKER'S BIO:
Vivi Arief is currently a Lecturer in Biometry at the University of Queensland. She graduated with a B.Sc. (Hon.) in Agriculture from IPB University (Indonesia) and an MAgrSt and PhD in Plant Breeding and Quantitative Genetics from the University of Queensland. Her research focuses on the area of interface between statistics and plant breeding.
Statistical Society of Australia (SSA) PO Box 213 Belconnen ACT 2616 Australia 02 6251 3647www.statsoc.org.auABN 82 853 491 081
Please direct enquiries to:
the SSA Team via email at
contact@statsoc.org.au
© 2019 Statistical Society of Australia (SSA). All Rights Reserved. | website login
Website by Converge Design