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Please join us for the next StatsPD@Waite seminar where Daniel Smith from the School of Agriculture and Food Sustainability, The University of Queensland will present on "Prediction accuracy and repeatability of UAV based biomass estimation in wheat variety trials".
Please join us for the next StatsPD@Waite seminar where Prof Omer Ozturk, Ohio State University, USA will present on "Improving Multiple Comparisons in Block Designs Using Judgement Post-Stratification of Plots".
Please join us for the next StatsPD@Waite seminar where Nicholas Lambert, Biometry Hub, University of Adelaide will present on "An Overview of the NVT Analysis".
Please join us for the next StatsPD@Waite seminar where Huan Zhao, Biometry Hub, University of Adelaide will present on "Accelerated genomic-assisted breeding for safflower (Carthamus tinctorius L.)".
Please join us for the next StatsPD@Waite seminar where Dr Eric G. Dinglasan, Senior Research Fellow, QAAFI, The University of Queensland will present on "FastStack: evolutionary computing-guided breeding to develop future crops".
Please join us for the next StatsPD@Waite seminar where Dr Max Moldovan and Mr Aidan Moller, Biometry Hub, University of Adelaide will present on "Causal Learning in Agriculture Initiative: Which computational tools can work with causal methods?".
Please join us for the next StatsPD@Waite seminar where Wasin Pipattungsakul, Biometry Hub, University of Adelaide will present on "speed: An R package for Spatially Efficient Experimental Designs".
BayesVarSel is an R package that offers a suite of tools for hypothesis testing and variable selection in linear models from a formally objective Bayesian perspective. Professor Gonzalo Garcia-Donato from the University of Castilla will present on its key capabilities and uses.
In-plot sampling is central to experimental work in agronomy and plant and soil sciences, yet its statistical implications are often overlooked compared with the design of treatment allocation. This facilitated discussion with Dr Ray Correll will bring together data analysts, statisticians, and agricultural scientists to examine better approaches to in-plot sampling.
Hybrid - Zoom meeting with presenter Dr Ruidong Xiang, Computational Biology, Agriculture Victoria Research, Department of Energy, Environment and Climate Action (DEECA); School of Applied Systems Biology, La Trobe University
Genetic evaluation and optimal mate allocation are central to artificial selection programs aiming to modify allele frequencies of beneficial alleles. This seminar will introduce two open-source tools designed to support these efforts.
Are you eager to present data in an engaging and informative manner? Perhaps you're looking to prepare your data for statistical analysis or gain a better understanding of how project statistics are calculated and interpreted. If you've heard of R but aren't quite sure how to begin, this workshop is designed with you in mind!
Have you ever found yourself pondering the intricacies of experimental design? Have you questioned the reasoning behind the sample sizes you're advised to choose? Welcome to our workshop – a gentle introduction to the art of experimental design using R.
A/Prof Blair Robertson of the School of Mathematics and Statistics, University of Canterbury, NZ will be presenting on using linear assignment strategies for spatial sampling.