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Linear mixed models for agricultural researchers with ASReml-R

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This event is funded by Intellectual Climate Fund La Trobe University

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In this session, I will explain the motivation and intuition behind building some statistical models to analyse data from plant breeding programs. These models will include linear mixed models, factor analytic models and spatial models for prediction of genotype-by-environment effects. I will demonstrate how to fit each of these models using ASReml-R in addition to explaining how to interpret the results.

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Dr. Emi Tanaka is a lecturer in statistics at Monash University whose primary interest is to develop impactful statistical methods and tools that can readily be used by practitioners. Her research areas include data visualisation, mixed models and experimental designs, motivated primarily by problems in bioinformatics and agricultural sciences. She is currently the President of the Statistical Society of Australia Victorian Branch and is an avid programmer in R, HTML/CSS and other computational languages.

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Organiser Fazel Almasi

Organiser of Linear mixed models for agricultural researchers with ASReml-R

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