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08 December 2021 | Story Leonie Bolleurs | Photo Sonia Small
Namibia university
The Office for International Affairs at the UFS recently hosted a delegation from the Namibia University of Science and Technology. Pictured here are, from the left, front: Seithati Ramonaheng, UFS International Scholarships in the Office for International Affairs (OIA); Dr Erling Kavita; Dr Erold Naomab; Prof Yonas Bahta; back: Kagiso Ngake, UFS Partnerships in the OIA; Cornelius Hagenmeier; Zenzele Mdletshe, UFS Partnerships in the OIA; and Dr Falko Buschke, Centre for Environmental Management.

The Office for International Affairs (OIA) at the University of the Free State (UFS) recently (25 November 2021) hosted a delegation from the Namibia University of Science and Technology (NUST).

During deliberations, the two institutions discussed the possibility of formalising a partnership and it was agreed that the OIA would lead this process through its Partnership portfolio. The UFS and NUST are looking to work together and share information on the development of a COVID-19 vaccination policy, leveraging on the Germany/Namibia green hydrogen partnership, joining forces on the application for centres of excellence administered by the African Union, establishing staff and student exchange programmes, and intensifying their research collaborations.

Cornelius Hagenmeier, the Director of the Office for International Affairs (OIA) at the UFS, chaired the meeting with Dr Erold Naomab, the Vice-Chancellor of NUST, and his adviser, Dr Erling Kavita. Prof Yonas Bahta, Associate Professor in the UFS Department of Agricultural Economics, and Dr Falko Buschke, Senior Lecturer in the UFS Centre for Environmental Management, also attended the meeting and reported on their existing academic collaborations with NUST.

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Researcher works on finding practical solutions to plant diseases for farmers
2017-10-03

 Description: Lisa read more Tags: Plant disease, Lisa Ann Rothman, Department of Plant Sciences, 3 Minute Thesis,  

Lisa Ann Rothman, researcher in the Department of
Plant Sciences.
Photo: Supplied

 


Plant disease epidemics have wreaked havoc for many centuries. Notable examples are the devastating Great Famine in Ireland and the Witches of Salem. 

Plant diseases form, due to a reaction to suitable environments, when a susceptible host and viable disease causal organism are present. If the interactions between these three factors are monitored over space and time the outcome has the ability to form a “simplification of reality”. This is more formally known as a plant disease model. Lisa Ann Rothman, a researcher in the Department of Plant Sciences at the University of the Free State (UFS) participated in the Three Minute Thesis competition in which she presented on Using mathematical models to predict plant disease. 

Forecast models provide promise fighting plant diseases
The aim of Lisa’s study is to identify weather and other driving variables that interact with critical host growth stages and pathogens to favour disease incidence and severity, for future development of risk forecasting models. Lisa used the disease, sorghum grain mold, caused by colonisation of Fusarium graminearum, and concomitant mycotoxin production to illustrate the modelling process. 

She said: “Internationally, forecasting models for many plant diseases exist and are applied commercially for important agricultural crops. The application of these models in a South African context has been limited, but provides promise for effective disease intervention technologies.

Contributing to the betterment of society
“My BSc Agric (Plant Pathology) undergraduate degree was completed in combination with Agrometeorology, agricultural weather science. I knew that I wanted to combine my love for weather science with my primary interest, Plant Pathology. 
“My research is built on the statement of Lord Kelvin: ‘To measure is to know and if you cannot measure it, you cannot improve it’. Measuring the changes in plant disease epidemics allows for these models to be developed and ultimately provide practical solutions for our farmers. Plant disease prediction models have the potential ability to reduce the risk for famers, allowing the timing of fungicide applications to be optimised, thus protecting their yields and ultimately their livelihoods. I am continuing my studies in agriculture in the hope of contributing to the betterment of society.” 

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