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04 April 2024
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Story Lunga Luthuli
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Photo SUPPLIED
Dr Juliet Kamwendo champions gender-inclusive climate action in Africa. Her expertise at the recently held AFR100 workshop highlighted vital steps towards sustainable and equitable development.
Dr Juliet Kamwendo, Lecturer and Programme Director for Gender Studies in the Centre for Gender and Africa Studies at the University of the Free State, is spearheading efforts to integrate gender considerations into Africa's climate restoration agenda. Reflecting on her involvement, Dr Kamwendo stated, "This is particularly crucial, as women make up almost 50% of the population in Africa, and the depletion and degradation of land affect them disproportionately."
She recently served as a gender expert at the AUDA-NEPAD AFR100 workshop in Ouagadougou, Burkina Faso, from 25 to 29 March 2024. This initiative aims to restore forests and degraded land across Africa by 2030, with a focus on gender equality.
The workshop emphasised the integration of gender perspectives into the AFR100 project, acknowledging the disproportionate impact of land degradation on women. Dr Kamwendo's expertise highlighted the need to empower women in climate change interventions, addressing existing gender inequalities exacerbated by environmental degradation.
“Women – who are primarily responsible for household food security and water provision – bear the brunt of environmental degradation, leading to increased workloads, reduced income opportunities, and heightened vulnerability to climate-related disasters. Furthermore, the loss of forest cover and biodiversity further exacerbates the challenges faced by women, particularly in rural areas where they depend heavily on natural resources for their livelihoods,” added Dr Kamwendo.
Her participation highlights academia's crucial role in fostering inclusive and sustainable development, emphasising interdisciplinary collaboration to tackle complex environmental challenges. Through initiatives such as AFR100, stakeholders are working towards a more resilient and gender-responsive future for Africa.
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.”