Biometry Hub

In the era of data-rich agriculture, biometry research involves methodological statistics development and the use of modern scientific computing methods for the design and analysis of research studies and experiments conducted in the life sciences.

This includes theoretical and computational research in experimental and sampling design as well as statistical modelling approaches with multi-faceted phenotypic and ‘omics data obtained from multiple field and controlled environments. The modern biometry research also fosters the development of pathways for conducting the best practice statistics in relevant academic and industry research and extension.  

The Biometry Hub group of the University of Adelaide specialises in statistical methodologies for field trials, comparative and multi-factorial experiments and field sampling in application to agriculture, horticulture, oenology and food sciences.

Our research has a strong focus on statistical genetics including linkage map construction, whole genome QTL analysis, genome wide association studies (GWAS) and genomic selection (GS). We employ and develop advanced analytical computing methods in digital agriculture including big data processing, computer vision and machine learning as well as promote the adoption of cloud-based high performance computing.

We collaborate internationally and nationally and maintain a strong interest in best practice statistics in the Southern region in Australia.

The Biometry Hub starts out and supports communities of practice with solid statistical foundations through open collaborative communication with researchers and practitioners by providing tailored professional development opportunities and facilitating multi-disciplinary dialogues with user-friendly software applications.

Upcoming events



Biometry Hub: Introduction to R Workshop

Get a head start in presenting data in an engaging way and learn how to prepare your data for statistical analysis.



Biometry Hub: Introduction to Experimental Design workshop

Have you wondered about the principles behind experimental design?



Biometry Hub: Statistical Analysis of Agronomic Experiments

Get a head start in presenting data in an engaging way and learn how to prepare your data for statistical analysis.



Biometry Hub: Reporting Research with Rmarkdown workshop

Introducing some more advanced features of R including reporting with Rmarkdown, and some powerful data manipulation and plotting packages.



Biometry Hub: Shiny for Beginners workshop

Shiny is a package that allows R users to create interactive and dynamic web-based applications, without requiring an understanding of HTML or CSS.


Biometry Hub News



SAGI-STH Statistics training workshops for 2023

In 2023 the Biometry Hub will be running another round of statistical workshops for agronomists and researchers - these are practical, interactive workshops, to be offered both online and face to face.



SAGI-STH Statistics training workshops for 2022

Statistical workshops for agronomists and researchers. Find out when and where they will be held this year.



SAGI Symposium 2021

The annual SAGI symposium was hosted SAGI-North from the Queensland Department of Agriculture and Fisheries on the 12th and 13th of October.


Key partners