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06 November 2020
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Story Rulanzen Martin
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Photo Supplied
Dr Tronél Hellberg, UFS alumna, completed her PhD in Music from the OSM in 2018.
The COVID-19 pandemic and subsequent lockdown has posed many challenges. Not only has it distrupted our normal way of life it but has created a ‘new normal.’ Even in these trying times, alumni from the University of the Free State (UFS) have adjusted to the new normal by going above and beyond to make it as normal as possible.
One of these is Dr Tronél Hellberg, an alumna from the
Odeion School of Music at the UFS, who has supported Grade 12 learners by presenting free online prescribed music theory classes. The classes are beneficial for learners following the CAPS or IEB curriculum. “I trust the online videos will assist learners and teachers to get through this challenging Grade 12 year,” says Dr Hellberg. She has
recorded more than 38 live videos on her
G-Sential Theory of Music Facebook page.
The recordings are accessible to Grade 12 learners and their teachers at no cost. Dr Hellberg established the
G-Sential Theory of Music in 2007 and has since published 20 theory of music books.
Apart from assisting in teaching, one of her main objectives is to reach less fortunate learners who do not have access to music teachers. “Grade 12 music literacy requires an accumulative understanding of theory of music,” she says. With her initiative she also aims to “fill any gaps” to solidify knowledge and information which might still be unclear.
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.”