2008- present Lecturer in Crop Science
The University of Nottingham, School of Biosciences, Division of Plant and Crop Sciences
2003-2008 Researcher in Plant Pathology
Harper Adams University, Crop and Environment Research Centre, Molecular Diagnostic Laboratory
2000-2004 PhD Plant Pathology
Harper Adams University, UK
Current research is focused on the development of integrative strategies for the control of root, stem-base and ear diseases in cereals. The challenge is to devise control strategies that are… read more
XINGPING YANG, RUNSHENG REN, RUMIANA RAY, JINHUA XU, PINGFANG LI, MAN ZHANG, GUANG LIU, XIEFENG YAO and ANDRZEJ KILIAN, 2016. Genetic diversity and population structure of core watermelon (Citrullus lanatus) genotypes using DArTseq based SNPs Plant Genetic Resources. 14(3), 226-233
Current research is focused on the development of integrative strategies for the control of root, stem-base and ear diseases in cereals. The challenge is to devise control strategies that are effective against the pathogen complexes causing these diseases. The stem-base disease complex on cereals comprises of true eyespot, brown foot rot and sharp eyespot and often these three diseases occur simultaneously on the same plant stems. Brown foot rot is associated with many causal organisms, several Fusarium and Microdochium spp. also causing Fusarium head blight on cereals. Sharp eyespot is associated with a single causal fungal species, Rhizoctonia cerealis. We are working to integrate varietal resistance with chemical control, to understand the etiology and impact of these diseases and to model their epidemiology in relation to crop development and physiology.
BBSRC: Geospatial Resource for Agricultural Species and Pests with integrated workflow modelling to support Global Food Security (GRASP-GFS): a prototype
Syngenta: Integrated control of Fusarium head blight in wheat
BBSRC/TSB: Protecting the malting and brewing quality of UK barley cultivars through effective control strategies against Fusarium Head Blight (FHB) (SAFEMalt)
Forecasting eyespot development and yield losses in winter wheat
The aim of the project is to develop an improved risk assessment method for predicting yield loss from eyespot to allow growers to make accurate treatment decisions. We aim to fine-tune the existing model by i) including treatment thresholds based on yield response and yield loss relationships quantified for disease epidemics caused by each fungal species, ii) incorporating varietal resistance and iii) better targeting of disease at the stem-bases through improved timing and spray application technologies.
Funding bodies: HGCA, British Wheat Breeders, BASFplc, Bayer CropScience Ltd, Syngenta Crop Protection UK Ltd