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“A mind that is learning is a free mind and freedom demands the responsibility of learning” – J. Krishnamurti. What is the essence of education in our modern society amid the emerging, unprecedented, present-day circumstances? On 27 November 2020, third-year students from the University of the Free State (UFS) not only sought to inspire the youth in Kestell and bring them messages of hope, but also actively engaged them on how to be equipped with the necessary skills that would help them surf through the rapidly advancing world economics and the changing labour-market demands.
The collaboration with other expert stakeholders created a platform for significant conversation about alternative skills training that is designed to successfully address the current economic needs, thus enabling education to thrive and serve the intended purpose, which would ultimately manifest in effective transformation within communities. The UFS Qwaqwa Campus Community Engagement office coordinated the teamwork, comprising the Free State Department of Social Development, Maluti TVET College, the Free State School of Nursing, AGAPE Foundation for Community Development, Japie Lepele Foundation, the Riverside Finishing School, and Advance Academy.
TVET education allows students to progress in fields that suit them best and at the same time acquire skills needed for the future world of work. Information Technology (IT) students and staff members shared encouraging testimonies of their education experience and employment. The academy presented their finishing school programme to encourage learners to complete their secondary education even after they have suffered some interruptions. Although there are currently many challenges facing education in our semi-rural areas – such as Kestell – that result in lack of access to education and insufficient resources, civil partnerships like these are supporting and enabling communities in their quest to find their own solutions.
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.”