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RAG has a new
name and format:
ACT—
Active, Civic, Teaching.
The University of the Free State (UFS) is ready to kick off the new year with a bang. Get ready to celebrate the start of university with a cause. RAG, as you know it, has a new name and format: ACT—Active, Civic, Teaching.
You get further if you pull in the same direction, rather than various good-intentioned movements on different routes. In a collective effort, four exciting programmes will take flight, which are listed below:
- Schools project for first-year students: mentored by senior students, groups of first-year students will be assigned to, and participate in local school projects. Students will learn to solve problems and work together in small groups as they collaborate on a specific community project involving primary or secondary schools in the Mangaung region.
- Community gardens: This project will help individual student communities to begin and maintain their own vegetable gardens in order to address food insecurity within their own environment.
- Eco-vehicle project for senior students: The aim of the eco-vehicle project is to create an interdisciplinary experience. Undergraduate senior students from a Student Life College (SLC) can work together to build an eco-vehicle from waste material. The track day, along with creative pit stops, will take place on 16 February 2018, preceding the Community celebration of 17 February 2018.
- Community celebration: To foster good relationships between the UFS and the community, we aim to host an annual celebration that will be open to the broader Mangaung community. The celebrations will kick off on the morning of 17 February 2018 with a business relay and a showcase of the eco-vehicles. The festive day will conclude with an evening music concert.
Keep checking the UFS website for updates about more ACT activities during the month of February.
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.”