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30 May 2025
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Story Prof Mikateko Mathebula
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Photo Supplied
Pictured (from left to right): Prof Faith Mkwananzi, Dr Kapambwe Mwelwa, Prof Lochner Marais, Prof Chikumbutso Manthalu, and Prof Mikateko Mathebula.
Through collaborative agreements with the University of Malawi and the University of Zambia, the University of the Free State (UFS) has established the Research Alliance for Higher Education in Africa (RAHEdA), a dynamic initiative aimed at enhancing research capacity and partnerships within Sub-Saharan Africa.
The collaborative agreements align with the UFS’s Vision 130 strategy in relation to internationalisation, emphasising the important role that intra-African mobility visits play in establishing relationships with universities on the continent. It also fosters knowledge exchange and engagement and allows for careful planning and strategy meetings.
“During these discussions, an ambitious but feasible roadmap was laid out for the next three to five years,” Prof Mkwananzi said. “These activities include online workshops for staff and postgraduate students at all partner institutions, and a new webinar series that focuses on profiling, advancing, and celebrating thought leaders, higher education scholars, and scholarship in Africa.”
The inaugural webinar was held on 21 May 2025. Speaker Prof Siseko Kumalo, Associate Professor at the University of Johannesburg’s Ali Mazrui Centre for Higher Education Studies, spoke on ‘Orality as the Bulwark of the Humanities?’, set the bar high for the webinar series through his compelling and original response to this timely question, as scholars around the world contemplate appropriate responses to the rise and influence of artificial intelligence in higher education teaching, learning, and assessment.
Funding to support RAHEdA has been generously provided by Prof Melanie Walker, Distinguished Professor and SARChI Chair in Higher Education and Human Development.
• For information on how to get involved and for updates on RAHEdA, please contact Prof Mikateko Mathebula at MathebulaM@ufs.ac.za
Researcher works on finding practical solutions to plant diseases for farmers
2017-10-03
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.”