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Pioneering greenhouse gas research in South African rainfed agriculture

09 February 2024 | Story EDZANI NEPHALELA | Photo SUPPLIED

Dr Jerry Dlamini, lecturer and researcher specialising in agronomy within the Department of Soil, Crop, and Climate Sciences at the University of the Free State (UFS), is at the forefront of pioneering research in this field.

Greenhouse gas emissions represent a significant global concern, driving climate change on a massive scale. This concern is particularly pronounced in rainfed agriculture, where understanding and addressing these emissions are crucial for ensuring sustainable agricultural practices.

In South Africa, rainfed agriculture is vital in food production, contributing substantially to the nation's agricultural output. However, this sector also stands as a notable contributor to greenhouse gas emissions, primarily through activities such as livestock farming, fertiliser use, and changes in land use.

Dr Jerry Dlamini, a distinguished lecturer and researcher specialising in agronomy within the Department of Soil, Crop, and Climate Sciences at the University of the Free State (UFS), is leading pioneering research in this field. His current project, @CROPGas on X, funded by the European Joint Programme (EPJ), with a budget of R22 million, focuses on investigating the impact of various conservation agriculture interventions on greenhouse gas emissions, primarily targeting nitrous oxide (N2O), methane (CH4), and carbon dioxide (CO2).

This two-year project, which commenced in December 2022 and concludes in December 2024, is a collaborative effort between European and African universities and institutions, including Rothamsted Research (UK), University College Dublin (Ireland), University of Nottingham (UK), University of Poznan (Poland), British Geological Surveys (BGS), University of Zambia (Zambia), University of Zimbabwe, and Lilongwe University of Agriculture and Natural Resources (Malawi).

Dr Dlamini’s preliminary findings from the UFS Kenilworth Experimental Farm indicate that climate-smart agriculture interventions, such as legume rotation and no-till practices, have the potential to reduce the intensity of greenhouse gas emissions, particularly highly radiative gases like N2O.

“This is a significant finding,” Dr Dlamini noted, “as N2O has a global warming potential 100 times greater than CO2 over a 100-year horizon, meaning its impact on ozone depletion persists far longer despite being emitted in smaller quantities.”

Looking ahead, Dr Dlamini advocates for increased research efforts to quantify greenhouse gas emissions from South African croplands. He emphasises the importance of field-based measurements, akin to methodologies employed by other nations, to enhance the accuracy and effectiveness of South Africa's greenhouse gas inventories submitted annually to the United Nations Framework Convention on Climate Change (UNFCCC) and to devise effective mitigation strategies.

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.

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