Staff, Students, and Associates

Katharine Preedy talking to her dog
Dr Katharine Preedy
Application Lead for Plant and Crop Sciences

PhD

Biomathematics & Statistics Scotland
BioSS Office
The James Hutton Institute, Invergowrie
DUNDEE, DD2 5DA, Scotland, UK.

Tel: +44 (0) 1382 568914
Email: katharine.preedy@bioss.ac.uk
Publications:

Area of work

I lead the Plant and Crop Sciences application area and the BioSS group based at the James Hutton Institute in Dundee where we are involved in research, consultancy and training. 

I have a background in ecological modelling with a focus on spatial systems and physiologically based models and am particularly interested in using models to synthesise complex data sets. Current work includes linking multiple highly multivariate data sets and multi-trophic spatial models for Natural Pest Management.

Related content

green crop growing in a field

Assessing when mixtures deliver greatest benefit in cereal crops

Exploring the potential of sowing mixed varieties to generate higher and more consistent yields in barley and wheat.

Case Study
RESAS SEP Conference
30 October, 2023
RESAS Science, Evidence and Policy Conference

Earlier this year, BioSS presented research at a conference organised by the Scottish Government's RESAS

News
SB on stage
29 September, 2023
BioSS at the Royal Statistical Society International Conference 2023

 

News
View of a seminar room from the back of the audience, with Brian Cullis and Alison Smith standing at the front
20 September, 2023
Stats for Agriculture: How to deal with Big Data?

We were delighted to organise and host this hybrid event with the James Hutton Institute.

News
Female potato cyst nematode Globodera Pallida containing eggs stained with fluorescent dye

Improving resistance to Potato Cyst Nematodes

Combining genetic data and Potato Cyst Nematode infection rates to inform future potato breeding programmes.

Case Study
blackcurrants

Models of Winter Chilling in Blackcurrants

Statistical models of the relationship between winter chilling and spring growth in blackcurrants to enable breeders to select cultivars resilient to variable winters and help growers decide when to intervene to support insufficiently chilled plants.

Case Study
Aphidius Colmanii attacking Rhopalosiphum Padi

Stage Structured Models For Natural Pest Management: Aphids

Mathematical Models of insect interactions help in the quest to reduce the need for agricultural pesticides.

Case Study
raspberries growing

Locating genes for key traits in plants

Knowledge of the location of genes for important crop traits, such as yield, disease resistance, or crop timing, is crucial for breeding novel varieties that can be grown more efficiently and sustainably.

Case Study
blackcurrants growing

Linkage map construction in blackcurrant using genotyping by sequencing data

Genetic linkage maps are a vital tool for locating genes responsible for important traits such as yield or disease resistance in plants and animals, and modern genotyping technologies are leading to increasingly dense maps.

Case Study