Ticks, Demographics, Vegetation Cover, and Farmer’s Age Influence Red Meat Production in Resource-Poor Regions of Eastern Cape Province of South Africa

This study presents an integrated examination of livestock production constraints associating with communal farming in six district municipalities (DMs) of the Eastern Cape Province. We collected data on demographic and socio-economic factors from 271 farmers randomly given questionnaires. About 26 Land Redistribution for Agricultural Development (LRAD) owned by communal farmers were surveyed to ascertain the condition of grazing land, meanwhile, tick species and distribution on cattle and goats found in 158 sampling sites of the study area were also recorded. From the results, a total of 34,929 adult ticks belonging to five genera and 10 species were encountered. The most abundant tick genera were Rhipicephalus of the subgenus Boophilus (68.91%), Amblyomma (20.72%), Hyalomma (8.64%), Ixodes (1.22%), and Haemaphysalis (0.51%). By geographic distributions, Amblyomma and Rhipicephalus were common to all DMs, while R. microplus and R. decoloratus were found in the drier regions. From the map plotted for 16 custom feeding centers, lack of marketing channels (23%), poor animal conditions (20%), lack of infrastructure (19%), high price of medicine (14%), shortage of feed (10%), stock theft (8%), and age of animals (too old) to be marketed (6%) are the major shortcomings in red meat production. We found that the associations between gender (χ2 = 31.3481, p < 0.0001), age (χ2 = 32.4889, p < 0.0001), and farming experience (χ2 = 52.7556, p < 0.0001) were significantly (p < 0.05) higher. Additionally, we found that farming commodities were significantly influenced by gender and farming experience. From the surveyed LRAD farms, we observed a higher proportion of increaser II grass species in Alfred Nzo (55.6%), Amathole (53.9%), and Chris Hani (46.4%) DMs. On the other hand, the decreaser grass species were few in Alfred Nzo (16.5%), Amathole (13.8%), and Chris Hani (21.8%). Inferences from the data indicate the need for government and stakeholders’ intervention to farmers through the provision of infrastructures, marketing channels, and training on livestock based programs.

Exploratory Study on Relationship among Body Weight, Body Condition Score and Some Blood Biochemical Parameters of Non-Descriptive Goats in Mzimvubu Local Municipality: A Case of Santombe Village

Body weight is a crucial trait that aids farmers in decision-making regarding vaccinations, feeding, marketing and selection during the breeding programs. The study was conducted to investigate the effect of sex and age on body weight (BW), body condition score (BCS) and some blood biochemical parameters (BBP) and to determine the correlation amongst BW, BCS and BBP of non-descriptive goats at Santombe communal farming system. Blood samples were collected from 33 apparently healthy goats (27 females and 6 males) aged 6 - 8 tooth with a mean BW (32.62 ± 11.39 kg) while BCS (3.17 ± 0.39) was taken by means of palpating the lumbar area, sternum and the ribs. The BCS was rated on a scale of 1 to 5 with 1 being emaciated and 5 being extremely fat. The blood samples were analyzed using Cobas intergra 400 plus chemistry analyzer, Roche for biochemical parameters such as total protein (TP), urea, cholesterol (Chol), magnesium (Mg), phosphorous (P) and calcium (Ca) with mean values of 72.79 ± 5.84 mg/l, 2.76 ± 1.16 mmol/l, 2.08 ± 0.40 mmol/l, 1.09 ± 0.09 mmol/l, 2.30 ± 0.49 mmol/l and 2.45 ± 0.12 mmol/l respectively. Sex and age had significant effects on BW, BCS and some biochemical parameters. The BW and BCS for males were significantly higher than for females. Correlation results indicated that BW had a positive relationship with BCS (r = 0.677), TP and BW (r = 0.400), Chol and BCS (r = 0.4025) and Mg and TP (r = -0.075). Age and sex had significant influences on BW, BCS and some blood biochemical parameters. Consideration of the factors can aid in determining the accurate diagnosis of the nutritional status of goats.

An Assessment of Youth Involvement in Agricultural Activities in Eastern Cape Province, South Africa

Youth, who make up the majority of South Africa’s population and will be the future responsible citizens, confront numerous obstacles, including a lack of access to land, finance, markets, practical training, and incentives. The low interest of youngsters in agriculture is attributed to the poor status of agricultural output in Africa’s rural areas due to a lack of government support. The study was conducted to assess the involvement of youths in agricultural activities in Eastern Cape Province, South Africa. The convenient sampling technique was used, and qualitative data were collected from 104 participants using a pre-tested structured questionnaire. The questionnaire covered demographic characteristics, land ownership status, contact with extension personnel, and involvement in farming activities, funding, and constraints. Descriptive statistics and chi-square test were used for data analysis. The results showed that there were more males (59.6%) participants than females (40.4%) and the majority (74%) were between 20 - 35 years of age, 52.9% had senior secondary school level of education and came from a household size ranging from 6 - 19. Approximately 88.5% of participants had an agricultural background with an annual income of less than R20,000.00. More than half (51.9 %) of the study population, had farming experience less than 5 years, while 52.9% owned less than 2 hectares of land, and 78.8% were self-employed. Findings revealed that age (χ2 = 5.519, P < 0.01) and farming experience (χ2 = 43.981, P < 0.001) had a significant association with extension contact and farming enterprises respectively. Furthermore, lack of land ownership, high input costs, access to credit, visibility of extension personnel, lack of market access, low returns, high cost of mechanization, and lack of farming knowledge were the most ranked constraints hindering youth involvement in agricultural activities. Youth involvement in agricultural activities can be improved through land availability, financial support, and information dissemination on rural development programs by extension personnel.