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29 October 2018


Prof Stef Coetzee, former Rector and Vice-Chancellor of the University of the Free State (UFS), passed away in the Mediclinic Cape Gate on Saturday 27 October 2018. 

Prof Coetzee assumed duty as the 11th Rector and Vice-Chancellor of the UFS on 1 April 1997. He will be remembered for his drive to promote transformation at the UFS. During his time as Rector and Vice-Chancellor, he initiated a revitalisation process (turnaround strategy) which was ultimately finalised by his successor, Prof Frederick Fourie.

Among others, he established a Broad Transformation Forum (BTF) and transformation office to draft a new political framework for the UFS. He strived to manage the university as a business enterprise and was focused on developing the academy in an entrepreneurial manner. His legacy includes the establishment of the BTF, the revitalisation process (turnaround strategy), academic revitalisation, growing student numbers, and increased research outputs. He stepped down as Rector at the end of 2002.

“The turnaround strategy initiated by Prof Coetzee during his term as Rector and Vice-Chancellor is still evident today in the management approach of the UFS. On behalf of the executive management and the university community, I wish his family, relatives, and former colleagues all the best during this difficult and sad time. I hope that they will find comfort in his significant contribution to various sectors in the country – especially at the UFS,” said Prof Francis Petersen, Rector and Vice-Chancellor of the UFS.

Prof Stef Coetzee obtained his MA degree in Economics at Stellenbosch University in 1973, and a DPhil in Development Economics at the University of the Free State (UFS) in 1980. He is a former Executive Officer of the Afrikaanse Handelsinstituut and was also associated with Unisa and the North-West University


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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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