Latest News Archive

Please select Category, Year, and then Month to display items
Previous Archive
18 October 2024 | Story André Damons | Photo Supplied
Prof-Maryke-Labuschagne
Prof Maryke Labuschagne is a Professor of Plant Breeding in the UFS Department of Plant Sciences.

A new research chair at the University of the Free State (UFS), led by Prof Maryke Labuschagne, a Professor of Plant Breeding in the UFS Department of Plant Sciences, hopes to increase food and nutritional security in South Africa through crops that have intrinsic high nutritional value.

The Breeding Climate-Resilient Vegetables and Grains research chair was established in partnership with the Agricultural Research Council (ARC) and the Department of Agriculture, Land Reform and Rural Development (DALRRD). It will be hosted within the Faculty of Natural and Agricultural Sciences (NAS) alongside the other ARC-DALLRD-UFS research chairs, namely Climate Change and Agriculture, Innovative Agro-processing for Climate-smart Food System, Agriculture Risk Financing and Sustainable Livestock Production. 

The aim of the new ARC-DALLRD-UFS research chair, explains Prof Labuschagne, who is also leading the National Research Foundation (NRF) SARChI Chair in Diseases and Quality of Field Crops, is to breed climate resilient crops with high levels of nutrients such as iron, zinc, provitamin A and essential amino acids, as well as disease resistance, in collaboration with the ARC.

Breeding of climate resilient crops

“We are all aware of the need for food security in South Africa. Climate change is already negatively impacting food production. With this research chair, in collaboration with the ARC, we hope to increase food security through crops that have intrinsic high nutritional value, for example, high levels of iron and zinc and provitamin A, of which there are high levels of deficiency in our population, and at the same time increase climate resilience (such as heat and drought tolerance) in these crops.

“We will be working on breeding climate-resilient, nutrient-rich and disease-resistant pigeon pea and cowpea cultivars; maize rich in provitamin A, iron and zinc; highly nutritious sweet and bitter sorghum; rust-resistant and good-quality wheat; high-yielding and nutritious indigenous vegetables such as amaranth and amadumbi; and research on potato, sweet potato and cassava for human and industrial uses,” says Prof Labuschagne.

The new chair will complement the research that is already being done for the SARChI chair, but with the ARC as partner. It will combine the expertise and resources of Plant Breeding at the UFS with that of the ARC-VIMP (Vegetable, Industrial and Medicinal Plants), ARC-GC (Grain Crops) and ARC-SC (Small Grains). The chair research will include orphan crops such as cowpea, pigeon pea and indigenous vegetables, as well as root and tuber crops such as potato and cassava, and cereals such as wheat, maize and sorghum.

Collaborative research

“The focus of this chair is on collaborative research and student training with the ARC, but the research area will still focus on the development of nutrient-rich and disease-resistant food-security crops. It will also have an additional focus of climate resilience, and the inclusion of orphan crops indigenous to Africa and South Africa.”

Prof Labuschagne says it is exciting that collaborative research can now be done with the unique expertise and resources (laboratory equipment, fields, greenhouses etc.) of several research institutes for the benefit of food and nutritional security in South Africa. Doing this research in a large team with lots of expertise in different areas will certainly yield more and better results with a larger impact on food security.

“This is a very exciting development in agricultural research now that we are part of a large team all working towards the same goal of improving food security, sharing expertise and resources and also doing collaborative training of MSc and PhD students who will become the scientists of tomorrow, taking this quest into the future.”

Prof Vasu Reddy, Deputy Vice-Chancellor: Research and Internationalisation, says this chair is aligned to the UFS Vision 130 strategy, shaped by excellence and impact, sustainability and society. “This distinguished chair led by Prof Labuschagne recognises exceptional achievement and pre-eminence in the field to catalyse and ignite new talent and new knowledge. It marks an exciting opportunity to deepen our understanding of breeding climate-resilient vegetables and grains aligned to our expertise in agriculture.”

News Archive

Mathematical methods used to detect and classify breast cancer masses
2016-08-10

Description: Breast lesions Tags: Breast lesions

Examples of Acho’s breast mass
segmentation identification

Breast cancer is the leading cause of female mortality in developing countries. According to the World Health Organization (WHO), the low survival rates in developing countries are mainly due to the lack of early detection and adequate diagnosis programs.

Seeing the picture more clearly

Susan Acho from the University of the Free State’s Department of Medical Physics, breast cancer research focuses on using mathematical methods to delineate and classify breast masses. Advancements in medical research have led to remarkable progress in breast cancer detection, however, according to Acho, the methods of diagnosis currently available commercially, lack a detailed finesse in accurately identifying the boundaries of breast mass lesions.

Inspiration drawn from pioneer

Drawing inspiration from the Mammography Computer Aided Diagnosis Development and Implementation (CAADI) project, which was the brainchild Prof William Rae, Head of the department of Medical Physics, Acho’s MMedSc thesis titled ‘Segmentation and Quantitative Characterisation of Breast Masses Imaged using Digital Mammography’ investigates classical segmentation algorithms, texture features and classification of breast masses in mammography. It is a rare research topic in South Africa.

 Characterisation of breast masses, involves delineating and analysing the breast mass region on a mammogram in order to determine its shape, margin and texture composition. Computer-aided diagnosis (CAD) program detects the outline of the mass lesion, and uses this information together with its texture features to determine the clinical traits of the mass. CAD programs mark suspicious areas for second look or areas on a mammogram that the radiologist might have overlooked. It can act as an independent double reader of a mammogram in institutions where there is a shortage of trained mammogram readers. 

Light at the end of the tunnel

Breast cancer is one of the most common malignancies among females in South Africa. “The challenge is being able to apply these mathematical methods in the medical field to help find solutions to specific medical problems, and that’s what I hope my research will do,” she says.

By using mathematics, physics and digital imaging to understand breast masses on mammograms, her research bridges the gap between these fields to provide algorithms which are applicable in medical image interpretation.

We use cookies to make interactions with our websites and services easy and meaningful. To better understand how they are used, read more about the UFS cookie policy. By continuing to use this site you are giving us your consent to do this.

Accept