Quantitative Expertise at Rothamsted Research Computational and Systems Biology (CSYS) – Supporting and contributing to research across the breadth of the RRes science programme – 20:20 Wheat; Designing Seeds; Delivering Sustainable Systems; Cropping Carbon Applied Statistics – Designing experiments and surveys; statistical analysis and modelling; spatial (geo-)statistics; multivariate methods Applied Bioinformatics – Next generation sequence analysis for gene discovery and hypothesis generation; network biology and data integration; data visualisation; data mining

Quantitative Expertise at Rothamsted Research Mathematical Modelling – To study population dynamics, epidemiology and evolutionary ecology of plants and their pests and pathogens – Of crop-climate interactions to quantify future threats to crops and identify crop improvement targets – Using the novel physics and mathematics of optimal searching, random walks and turbulence to develop mechanistic models of invertebrate movement patterns – To study the biology, chemistry and physics of soils and soil processes, including nutrient and pollutant cycling, and soil-root interactions – To evaluate the sustainability of modern agricultural practices and the trade-offs with the provision of environmental goods and services – To evaluate the productivity and environmental impact of energy crops

Data Resources at Rothamsted Research Long Term Experiments – electronic Rothamsted Archive / Sample Archive – Data on crop production, nutrition, plant diversity,... with associated meteorological records since 1843! Rothamsted Insect Survey – Focussed on data for aphids and moths from a network of sites for the past 40 years North Wyke Farm Platform – Detailed spatial and temporal information on inputs and outputs from a grassland beef and sheep system under different management approaches AgriTech AIMS Centre the-big-data-revolution-in-agriculture/ – Agricultural Informatics and Metrics of Sustainability – Raising awareness, reducing risks and costs, and increasing the utility of data to the UK agrifood industry