Latest News Archive
Please select Category, Year, and then Month to display items
02 January 2025
|
Story Gerda-Marie van Rooyen
|
Photo Supplied
Leading the research in South Africa is Prof Linus Franke from the Department of Soil, Crop and Climate Sciences.
Scientists are actively pursuing the successful breeding of diploid hybrid potatoes from inbred lines. This is expected to revolutionise potato breeding as it holds the key to rapid genetic progress. It will introduce new varieties for commercialisation through seed. Currently, existing potato variants have a gene that renders self-pollinated seeds infertile.
Prof Linus Franke, an academic in the Department of Soil, Crop and Climate Sciences at the UFS, is leading the research in South Africa. “This technology allows the production of genetically uniform potato seed that is easy to transport and largely disease-free.” He says this differs from conventional breeding whereby only vegetative propagation is possible due to tetraploid varieties in potatoes. It also risks carrying pests and diseases from one generation to the next – leading to the accumulation of pests and diseases with each round of multiplication.
Seed innovation
Prof Franke explains that Solynta BV, a seed company based in the Netherlands that produces potato varieties that can be grown from seed, has included South Africa in their research efforts because it is one of Africa’s largest producers and exporters. Through his academic relationship with Wageningen University and Research, a Dutch institution renowned for its agricultural endeavours and food production, the UFS became involved in researching hybrid potatoes grown from seed.
Diploid seeds containing two sets of chromosomes allow easier gene manipulation to increase predictability and speedier genetic progress. The breeding approach enables the incorporation of tolerance to pests, diseases, abiotic stresses (cold, heat, drought) and other desired genetic traits.
Although Prof Franke is optimistic about this research, he is not blind to disadvantages. “Potato seeds are tiny and have little energy reserves, making it harder to grow potatoes from seed than from tubers.” He says potatoes from seed will take longer to cultivate than tubers, as farmers need to grow plantlets from seeds first, adding six weeks to the growing period. “It is possible that commercial farmers can grow potatoes directly from seed. Alternatively, perhaps more likely, specialised growers will produce tubers of potatoes from seed; these tubers are then sold as seed tubers to other potato farmers, who then continue their normal practices of producing potatoes for the market from tubers.”
Financial benefits
Prof Franke says farmers have reason to get excited. “Seed potatoes will reduce input costs, as varieties with enhanced tolerance to pests and diseases require less pesticides. Planting one hectare of potatoes requires three to four tonnes of potato tubers, but only one 25 g packet of potato seeds.” Since potatoes are a more valuable commodity than maize, this technology might also increase farmers’ income potential.
Mathematical methods used to detect and classify breast cancer masses
2016-08-10
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.