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08 October 2019 | Story Xolisa Mnukwa | Photo Charl Devenish
Gradstar UFS
The 2019 GradStar programme is all about producing well-rounded students and providing them with opportunities in the world of work, explained Head of UFS Career Services, Belinda Janeke.

Congratulations to the Kovsies top-11 students who made it into the GradStar top-100 programme for 2019!

Each year, 100 South African students are selected through a rigorous four-phase judging process to become part of the GradStar programme. The programme is designed to offer opportunities for employment to previously unrecognised students.

What makes the top 11? 

According to the UFS Head of Career Services, Belinda Janeke, the GradStar programme is all about producing a well-rounded student. Approximately 6 000 applications were received from Kovsies, of which 500 were selected based on a personality test. Another test was given to the 500 students who passed the personality test, after which interviews were conducted to determine the top 100 from the UFS.  

The students who were selected to represent the UFS exhibited the most potential as future leaders in their respective fields. Apart from academic achievement, contestants were evaluated according to their individual soft skills such as motivation, discipline, altruism, and attitude. This combination promised to deliver top candidates for future employers. 

2019 GradStar programme experiences

Throughout the competition, Kovsie contestants were exposed to new people and opportunities to network with various companies in their preferred career fields, where they had the opportunity to share their CVs with potential employers. Contestants were also afforded the opportunity to develop critical problem-solving skills in the world of work. The GradStar top-100 students also have a WhatsApp group where jobs are advertised.

The programme was valuable for the Kovsies; not only did it prepare them for employment, but also provided them with an opportunity for learning and recognising their own strengths and weaknesses as individuals in the working world. 

Congratulations to the Kovsies who made it into the GradStar top 100: 

Mariné du Toit: Bachelor of Social Work
Nyiko Maluleka: Bachelor of Arts, Corporate and Marketing Communication
Bianca Malan: Bachelor of Accounting, Financial Accounting
Boitumelo Mancoe: Master of Business Administration
Kabelo Mashego: Bachelor of Medicine and Bachelor of Surgery (MB ChB)
Kananelo Moletsane: Bachelor of Agriculture
Mudzunga Mukwevho: Bachelor of Accounting, Financial Accounting
Neo Roberts: Bachelor of Science, Information Technology 
Refilwe Maimane: Bachelor of Commerce, Accounting 
Themba Makhoba: Bachelor of Public Administration
Mpolokeng Mmutle: Bachelor of Commerce, Accounting

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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