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17 September 2018 Photo Charl Devenish
Science Its a girl thing
Innocensia Mangoato’s research on using cannabis to reverse anticancer drug resistance has been awarded in the prestigious Women in Science Awards.


“There’s this misconception among young people that science is difficult and that it’s somehow a man’s domain,” says Innocensia Mangoato, Masters student in Pharmacology, who has just been awarded in the prestigious Women in Science Awards by the Department of Science and Technology.

Cannabis research

Innocensia won in the Master’s Degree category for her research on the use of cannabis in reversing anticancer drug resistance. Her department had to apply for a special permit to grow cannabis for research and medicinal purposes.

“Her findings have already indicated a promising reversal of resistance to drugs in a variety of cancers. We plan to explore these results further in a possible PhD,” says her study leader, Prof Motlalepula Matsabisa.

Innocensia says she’s always had an interest in science, and initially wanted to study medicine. She ended up doing a BSc in Physiology and Genetics.

She hopes that her research will help government to develop a policy around the use of cannabis for medicinal purposes which could ultimately lead to developing cancer treatment with fewer side-effects.

Female mentors

“My mentor during my Honours studies was Dr Makhotso Lekhoa. Her passion for her field and her patience in conveying it to others really inspired me. We have some very powerful women in our Pharmacology Department,” says Innocensia.

Passion for science 

“You know you’re passionate about your work when you find yourself going to the lab on Sunday afternoons!” she says. “I’m happy that I can be contributing to the knowledge production on this campus. And maybe one day I can be a mentor to other girls with that same passion for science.”

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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