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The University of the Free State (UFS) has an enrolment plan for 2007–2019 that was approved by the Department of Higher Education and Training (DHET). The university is compelled to adhere to these enrolment targets, as over-enrolment poses a risk to the academic integrity, financial sustainability, and student success of the university.
The UFS received 47 000 applications for admission in 2018, of which 17 000 applicants received final admission. All admission letters clearly stipulate that admission is subject to availability of space during registration. The enrolment target for new first-time entering students for 2018 is 8 000, therefore only 8 000 students can be registered across the university’s three campuses during this intake period.
The Executive Management of the UFS welcomes the fact that President Jacob Zuma’s announcement on 16 December 2017 about free education for the poor and working class has allowed many more students the opportunity to register. Several meetings between the Executive Management and the Student Representative Council (SRC) have taken place since the beginning of 2018 to discuss the implications of the President’s announcement. Engagement with the SRC regarding the registration process is also continuously taking place.
Online registration for all students opened on 8 January 2018. The UFS has put several measures in place to assist new first-time entering undergraduate students. Furthermore, students who have moved into residences and participated in the university’s Gateway Programme, as well as students who arrived on campus, were assisted to register for programmes with available space. In cases where the first option of study was full, students were redirected to other programmes with available space within the specific faculty or other faculties, provided that they comply with the relevant admission criteria. Only mainstream programmes in the Faculty of Economic and Management Sciences now have space left. The rest of the undergraduate programmes in all faculties on all the campuses are full.
Students who could not be accommodated in any of the programmes due to limited space are being directed to the Central Application Clearing House (CACH).
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.”