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05 June 2023 | Story Leonie Bolleurs | Photo Supplied
Prof Bahta
For the past three years, Prof Yonas Bahta has studied the resilience of smallholder livestock farmers in agricultural drought, and the competitiveness of agri-food commodities.

The agricultural sector is marked by farmers’ daily struggles, including price hikes, climate change effects, and pest and disease outbreaks.

Prof Yonas T Bahta, Associate Professor and astute National Research Foundation (NRF) C2-rated researcher in the Department of Agricultural Economics at the University of the Free State (UFS), found that smallholder farmers who received drought relief support saw an improvement in their welfare. The study also found that economic capital, social capital, human capital, and natural capital substantially affected the welfare of smallholder farmers.

Agricultural drought

These findings came from the study, titled: The resilience of households to agricultural drought in the Northern Cape province of South Africa. Prof Bahta’s aim with this study was threefold – to assess household resilience to agricultural drought among smallholder livestock farmers, to evaluate the welfare of smallholder farming households affected by agricultural drought, and to identify factors influencing agricultural drought resilience and food insecurity among smallholder livestock farmers.

During his investigation, he found that only 9% of the smallholder livestock farmers were resilient to agricultural drought. According to him, farming households with access to credit, farmers who received assistance from the government (such as training and feed) during drought, and farmers who are part of a cooperative proved to be more resilient to agricultural drought.

When it comes to food security, he discovered that assets, social safety nets, and indicators of adaptive capacity had a positive influence on households' ability to withstand food insecurity. Alternatively, climate change indicators negatively impacted households’ resilience to food insecurity.

For the past three years, he has studied the resilience of smallholder livestock farmers in agricultural drought. He believes that resilience – the ability to bounce back from adversities – is crucial.

According to him, both the smallholder livestock sector (farmers) and the agrifood industry need to develop resilience to effectively cope with and recover from agricultural drought, macroeconomic stability (inflation), competitiveness, productivity, and other related factors.

Competitiveness of agri-food commodities

Prof Bahta also launched investigations into the competitiveness of agri-food commodities in South Africa as well as Namibia.

The studies were titled: Competitiveness of Namibia’s Agrifood Commodities: Implications for Food Security and Competitiveness of South Africa’s Agrifood Commodities.

In these studies, he respectively looked at the competitiveness of South Africa’s and Namibia’s agrifood products, the factors that influence it, and its implication for food security.

In both countries, he discovered a combination of comparative advantage and disadvantage.

“South Africa and Namibia exhibited a trade structure that was less concentrated and not dependant on international trade in the agri-food industry, having minimal impact on Namibia's food security. The productivity of agriculture and GDP per capita positively influenced the comparative advantage of South Africa, whereas land productivity and GDP per capita influenced the degree of food insecurity in Namibia,” explains Prof Bahta the main research findings.

Research outputs

The study on the resilience of smallholder livestock farmers was supported by funding from the National Research Foundation. To explore the competitiveness of agri-food commodities, Prof Bahta collaborated with the Namibia University of Science and Technology (NUST), benefiting from their strong existing academic relationship. The UFS Office for International Affairs played a key role in facilitating this study, with research partnerships existing between the universities of both countries.

According to Prof Bahta, the findings of these two studies have resulted in the publication of more than 13 articles in journals ranking in the highest (Q1) and second highest categories (Q2) in the specific field. A paper will also be presented at the upcoming International Food and Agribusiness Management Association (IFAMA) international conference in New Zealand from 17 to 20 June 2023.

Furthermore, five popular articles on the main findings of the studies (written in non-technical language) were also published on these topics, focusing on the farmers and policy makers (as a policy brief and popular) as the target audience. These articles looked at, among others, the impact of policy intervention on food insecurity in times of shock; coping strategies of smallholder livestock farmers during food insecurity shocks; measuring the resilience of female smallholders in South Africa; and farming for success.

This study also resulted in the graduation of three master's students (two with distinction) and three honours students.

Looking ahead, Prof Bahta emphasises the necessity for conducting similar studies targeting both commercial and smallholder farmers, focusing on crops and livestock in various provinces across South Africa. He also feels that connections need to be established with universities besides NUST.

News Archive

Fight against Ebola virus requires more research
2014-10-22

 

Dr Abdon Atangana
Photo: Ifa Tshishonge
Dr Abdon Atangana, a postdoctoral researcher in the Institute for Groundwater Studies at the University of the Free State (UFS), wrote an article related to the Ebola virus: Modelling the Ebola haemorrhagic fever with the beta-derivative: Deathly infection disease in West African countries.

“The filoviruses belong to a virus family named filoviridae. This virus can cause unembellished haemorrhagic fever in humans and nonhuman monkeys. In literature, only two members of this virus family have been mentioned, namely the Marburg virus and the Ebola virus. However, so far only five species of the Ebola virus have been identified, including:  Ivory Coast, Sudan, Zaire, Reston and Bundibugyo.

“Among these families, the Ebola virus is the only member of the Zaire Ebola virus species and also the most dangerous, being responsible for the largest number of outbreaks.

“Ebola is an unusual, but fatal virus that causes bleeding inside and outside the body. As the virus spreads through the body, it damages the immune system and organs. Ultimately, it causes the blood-clotting levels in cells to drop. This leads to severe, uncontrollable bleeding.

Since all physical problems can be modelled via mathematical equation, Dr Atangana aimed in his research (the paper was published in BioMed Research International with impact factor 2.701) to analyse the spread of this deadly disease using mathematical equations. We shall propose a model underpinning the spread of this disease in a given Sub-Saharan African country,” he said.

The mathematical equations are used to predict the future behaviour of the disease, especially the spread of the disease among the targeted population. These mathematical equations are called differential equation and are only using the concept of rate of change over time.

However, there is several definitions for derivative, and the choice of the derivative used for such a model is very important, because the more accurate the model, the better results will be obtained.  The classical derivative describes the change of rate, but it is an approximation of the real velocity of the object under study. The beta derivative is the modification of the classical derivative that takes into account the time scale and also has a new parameter that can be considered as the fractional order.  

“I have used the beta derivative to model the spread of the fatal disease called Ebola, which has killed many people in the West African countries, including Nigeria, Sierra Leone, Guinea and Liberia, since December 2013,” he said.

The constructed mathematical equations were called Atangana’s Beta Ebola System of Equations (ABESE). “We did the investigation of the stable endemic points and presented the Eigen-Values using the Jacobian method. The homotopy decomposition method was used to solve the resulted system of equations. The convergence of the method was presented and some numerical simulations were done for different values of beta.

“The simulations showed that our model is more realistic for all betas less than 0.5.  The model revealed that, if there were no recovery precaution for a given population in a West African country, the entire population of that country would all die in a very short period of time, even if the total number of the infected population is very small.  In simple terms, the prediction revealed a fast spread of the virus among the targeted population. These results can be used to educate and inform people about the rapid spread of the deadly disease,” he said.

The spread of Ebola among people only occurs through direct contact with the blood or body fluids of a person after symptoms have developed. Body fluid that may contain the Ebola virus includes saliva, mucus, vomit, faeces, sweat, tears, breast milk, urine and semen. Entry points include the nose, mouth, eyes, open wounds, cuts and abrasions. Note should be taken that contact with objects contaminated by the virus, particularly needles and syringes, may also transmit the infection.

“Based on the predictions in this paper, we are calling on more research regarding this disease; in particular, we are calling on researchers to pay attention to finding an efficient cure or more effective prevention, to reduce the risk of contamination,” Dr Atangana said.


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