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08 October 2018 | Story UFS | Photo Stephen Collett
Researching inequalities and higher education
At the International Colloquium on Researching well-being, agency and structural inequalities, were from the left: Prof Melanie Walker, Dr Emily Henderson (Warwick University, UK), and Prof Thierry Luescher (Human Sciences Research Council).

Researchers from the University of the Free State (UFS), University of Minnesota, Lancaster University, University College London, and University of the Western Cape came together at the Bloemfontein Campus for a dynamic and exciting International Colloquium on Researching well-being, agency and structural inequalities: comparative perspectives. 

Prof Melanie Walker’s South African Research Chairs Initiative (SARChI) in Higher Education and Human Development group has invited experienced and early-career scholars to deliberate on matters ranging from marginalisation, decolonisation, inclusion, enhancing capabilities, negative capability, power, and agency in education. Across the papers, education was understood as having the potential to redress inequality, but at the same time it also reproduces such inequalities.
 
Freedoms in higher education

Following the colloquium which took place on 19 September 2018, the SARChI Chair celebrated the launch of Dr Talita Calitz’s book. Dr Calitz is currently a Lecturer in the Department of Education Management and Policy Studies at the University of Pretoria; she completed her doctoral research and a postdoctoral research fellowship under the UFS SARChI Chair. Her book, titled Enhancing the Freedom to Flourish in Higher Education: Participation, equality and capabilities, explores the insight that student narratives can offer to debates about the complex reasons why some students flourish at university while others are socially and academically marginalised.

News Archive

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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