The creation of commercialization opportunities for smallholder farmers has taken primacy on the development agenda of many developing countries. Invariably, most of the smallholders are less ...productive than commercial farmers and continue to lag in commercialization. Apart from the various multifaceted challenges which smallholder farmers face, limited access to extension services stands as the underlying constraint to their sustainability. Across Africa and Asia, public extension is envisioned as a fundamental part of the process of transforming smallholder farmers because it is their major source of agricultural information. Extension continues to be deployed using different approaches which are evolving. For many decades, various authors have reported the importance of the approaches that effectively revitalize extension systems and have attempted to fit them into various typologies. However, there is a widespread concern over the inefficiency of these extension approaches in driving the sustainability of smallholder farming agenda. Further, most of the approaches that attempted to revolutionize extension have been developed and brought into the field in rapid succession, but with little or no impact at the farmer level. This paper explores the theory and application of agricultural extension approaches and argues the potential of transforming them using digital technologies. The adoption of information and communication technologies (ICTs) such as mobile phones and the internet which are envisaged to revolutionize existing extension systems and contribute towards the sustainability of smallholder farming systems is recommended.
The transformation of smallholder farming is poised to be one of the key drivers of achieving the dual objectives of food security and poverty reduction in Sub-Saharan Africa (SSA). Smallholder ...farmers account for between 60–80% of the food produced in the region but face many challenges that impede their productivity. Such challenges include a lack of timely access to appropriate agricultural information and services, which results in poor decision-making, particularly in addressing challenges and responding effectively to opportunities. In that context, the effective use of Information and Communication Technologies (ICTs) in improving accessibility to appropriate agricultural information and services presents substantial prospects for transforming the productivity and livelihoods of the farmers. Currently, the region experiences massive penetration and propagation of mobile and web-based applications. However, there is a dearth of compelling, comprehensive reviews evaluating their importance in enhancing agricultural information and services dissemination to smallholder farmers. Therefore, the current review explores the potential of enhancing agricultural information and services dissemination to smallholder farmers through ICTs and highlights gaps in their development and deployment in SSA. Five existing mobile applications used to disseminate agricultural information and services to smallholder farmers were identified, and their advantages, limitations, and opportunities were discussed. These were Esoko, iCow, Community Knowledge Workers, WeFarm and DigiFarm. The development and deployment of user-driven mobile applications that provide curated skill-sharing platforms, encourage farmers to give feedback to extension systems in real-time and promote the participation of women and youth in agriculture are recommended.
Indigenous cattle breeds are the most important livestock species in the Southern African Development Community (SADC) region owing to their role in human food, nutrition, income, and social ...security. Despite the role of these breeds in the household and national economies, they are currently underutilised, their productivity remains low, and populations are faced with extinction. In addition, there are insufficient measures taken to secure their present and future value. The current review highlights strategies for sustainable use of indigenous cattle genetic resources in the region, including the use of novel production and marketing practices, women and youth empowerment, and development of the appropriate capacity building, legislative, and policy structures. At present, the lack of coordination among the different stakeholders still poses a challenge to the implementation of these strategies. To this end, partnerships, collaboration, and stakeholders’ participation are recommended to effectively implement strategies for sustainable use of indigenous cattle breeds.
Copy number variations (CNVs) are modifications in DNA structure comprising of deletions, duplications, insertions and complex multi-site variants. Although CNVs are proven to be involved in a ...variety of phenotypic discrepancies, the full extent and consequence of CNVs is yet to be understood. To date, no such genomic characterization has been performed in indigenous South African Nguni cattle. Nguni cattle are recognized for their ability to sustain harsh environmental conditions while exhibiting enhanced resistance to disease and parasites and are thought to comprise of up to nine different ecotypes.
Illumina BovineSNP50 Beadchip data was utilized to investigate genomic population structure and the prevalence of CNVs in 492 South African Nguni cattle. PLINK, ADMIXTURE, R, gPLINK and Haploview software was utilized for quality control, population structure and haplotype block determination. PennCNV hidden Markov model identified CNVs and genes contained within and 10 Mb downstream from reported CNVs. PANTHER and Ensembl databases were subsequently utilized for gene annotation analyses.
Population structure analyses on Nguni cattle revealed 5 sub-populations with a possible sub-structure evident at K equal to 8. Four hundred and thirty three CNVs that formed 334 CNVRs ranging from 30 kb to 1 Mb in size are reported. Only 231 of the 492 animals demonstrated CNVRs. Two hundred and eighty nine genes were observed within CNVRs identified. Of these 149, 28, 44, 2 and 14 genes were unique to sub-populations A, B, C, D and E respectively. Gene ontology analyses demonstrated a number of pathways to be represented by respective genes, including immune response, response to abiotic stress and biological regulation processess.
CNVs may explain part of the phenotypic diversity and the enhanced adaptation evident in Nguni cattle. Genes involved in a number of cellular components, biological processes and molecular functions are reported within CNVRs identified. The significance of such CNVRs and the possible effect thereof needs to be ascertained and may hold interesting insight into the functional and adaptive consequence of CNVs in cattle.
A survey was conducted to identify management information sources and communication channels used by commercially oriented smallholder beef cattle producers (n = 62) in Limpopo province, South ...Africa. A total of 62 commercially oriented smallholder farmers under the Limpopo Industrial Development Corporation-Nguni cattle project were interviewed using a structured questionnaire to collect data. Descriptive statistics were used to analyse data on farmers’ demographic and farm characteristics, sources of information and communication channels used. A multinomial logistic regression model was used to evaluate factors that influenced farmers’ choices of information sources and communications channels used. Findings show that government extension (53% of the respondents) and other farmers (30%) were the major sources of management information for the farmers. Based on the logistic regression results, the decision to choose government extension as the main source of information was mainly influenced by respondents’ gender (p = 0.001) and access to training (p = 0.023). Communication was mainly through farm-to-farm visits (56%) and the use of mobile phones (30%). Based on the current findings, the infusion of modern information communication technologies such as mobile phone-based innovations with the existing government extension service could further strengthen the capacity of farmers to share information among themselves as well as providing feedback to extension agents. Furthermore, it is essential to take cognizance of farmers’ socio-economic factors when identifying and characterizing their management information sources and communication strategies.
South Africa and Australia shares multiple important sheep breeds. For some of these breeds, genomic breeding values are provided to breeders in Australia, but not yet in South Africa. Combining ...genomic resources could facilitate development for across country selection, but the influence of population structures could be important to the compatability of genomic data from varying origins. The genetic structure within and across breeds, countries and strains was evaluated in this study by population genomic parameters derived from SNP-marker data. Populations were first analysed by breed and country of origin and then by subpopulations of South African and Australian Merinos.
Mean estimated relatedness according to the genomic relationship matrix varied by breed (-0.11 to 0.16) and bloodline (-0.08 to 0.06) groups and depended on co-ancestry as well as recent genetic links. Measures of divergence across bloodlines (F
: 0.04-0.12) were sometimes more distant than across some breeds (F
: 0.05-0.24), but the divergence of common breeds from their across-country equivalents was weak (F
: 0.01-0.04). According to mean relatedness, F
, PCA and Admixture, the Australian Ultrafine line was better connected to the SA Cradock Fine Wool flock than with other AUS bloodlines. Levels of linkage disequilibrium (LD) between adjacent markers was generally low, but also varied across breeds (r
: 0.14-0.22) as well as bloodlines (r
: 0.15-0.19). Patterns of LD decay was also unique to breeds, but bloodlines differed only at the absolute level. Estimates of effective population size (N
) showed genetic diversity to be high for the majority of breeds (N
: 128-418) but also for bloodlines (N
: 137-369).
This study reinforced the genetic complexity and diversity of important sheep breeds, especially the Merino breed. The results also showed that implications of isolation can be highly variable and extended beyond breed structures. However, knowledge of useful links across these population substructures allows for a fine-tuned approach in the combination of genomic resources. Isolation across country rarely proved restricting compared to other structures considered. Consequently, research into the accuracy of across-country genomic prediction is recommended.
Efforts to exploit the central roles of cattle to drive agriculture and rural development in low-income countries recorded limited success owing to their narrow focus on modernizing and ...commercializing low-input cattle farming. Most programs failed to take cognizance of the heterogeneous range of complex relationships between the environmental, economic, social and institutional challenges that limit low-input cattle farming. The current qualitative literature review evaluates the environmental, economic and social sustainability delivery impacts of the leading cattle development programs in the low-input farming sector in South Africa using a holistic systems approach. A mixed method procedure involving stratified sampling was used to allocate local and international-based programs while, purposive sampling was used to select programs with a wider scale of operation. The review then draws on the crosscutting key constraints emerging from the case studies to provide a better grounding for subsequent sustainability sensitive recommendations. Local-based cattle development programs advanced more market-led interventions while, their international-based counterparts had more interventions including, soil and rangeland improvement. The narrow focus by both local and international developmental programs is inadequate to address a wide array of environmental, economic, social, technical and institutional challenges faced by low-input cattle producers in South Africa.
Genomic selection (GS) has become common in sheep breeding programmes in Australia, New Zealand, France and Ireland but requires validation in South Africa (SA). This study aimed to compare the ...predictive ability, bias and dispersion of pedigree BLUP (ABLUP) and single‐step genomic BLUP (ssGBLUP) for production and reproduction traits in South African Merinos. Animals in this study originated from five research and five commercial Merino flocks and included between 54,072 and 79,100 production records for weaning weight (WW), yearling weight (YW), fibre diameter (FD), clean fleece weight (CFW) and staple length (SL). For reproduction traits, the dataset included 58,744 repeated records from 17,268 ewes for the number of lambs born (NLB), number of lambs weaned (NLW) and the total weight weaned (TWW). The single‐step relationship matrix, H, was calculated using PreGS90 software combining 2811 animals with medium density (~50 K) genotypes and the pedigree of 88,600 animals. Assessment was based on single‐trait analysis using ASREML V4.2 software. The accuracy of prediction was evaluated according to the ‘LR‐method’ by a cross‐validation design. Validation candidates were assigned according to Scenario I: born after a certain time point; and Scenario II: born in a particular flock. In Scenario I, the genotyping rate for the reference population between 2006 and the 2013 cut‐off point approached 7% of animals with phenotypes and 20% of their sires. For reproduction traits, about 20% of ewes born between 2006 and 2011 cut‐off were genotyped, along with 15% of their sires. Genotyping rates in the validation set of Scenario I were 3.7% (production) and 11.4% (reproduction) for candidates and 35% of their sires. Sires were allowed to have progeny in both the reference and validation set. In Scenario I, ssGBLUP increased the accuracy of prediction for all traits except NLB, ranging between +8% (0.62–0.67) for FD and +44% (0.36–0.52) for WW. This showed a promising gain in accuracy despite a modestly sized reference population. In the ‘across flock validation’ (Scenario II), overall accuracy was lower, but with greater differences between ABLUP and ssGBLUP ranging between +17% (0.12–0.14) for TWW and +117% (0.18–0.39) for WW. There was little indication of severe bias, but some traits were prone to over dispersion and the use of genomic information did not improve this. These results were the first to validate the benefit of genomic information in South African Merinos. However, because production traits are moderately heritable and easy to measure at an early age, future research should be aimed at best exploiting GS methods towards genetic prediction of sex‐limited and/or lowly heritable traits such as NLW. GS methods should be combined with dedicated efforts to increase genetic links between sectors and improved phenotyping by commercial flocks.
Resolution of the existing disconnect between experts and farmers’ insights on sustainable farming requires understanding of the key factors driving farmers’ perceptions on the concept. Interviews ...were conducted with 160 low-input farmers to evaluate the drivers of their perceptions of sustainable ruminant farming practices in Eastern Cape Province, South Africa. It was found that farmers had negative perceptions on rangeland, breeding, livestock security and marketing management practices and positive perceptions on socio-cultural, family health and education practices. The major factors that influenced farmers’ perceptions of sustainable ruminant farming practices include location, age, gender and employment status. Males farming full-time in peri-urban areas were more likely to perceive decreases (
p
≤ 0.05) while the young farmers had greater probability to perceive increases (
p
≤ 0.05) in ecologically related ruminant farming practices. Married, more educated males farming full-time in rural areas were more likely to perceive decreases (
p
≤ 0.05) in economically related ruminant farming practices compared to their counterparts. Young males farming full-time had greater probability to perceive decreases (
p
≤ 0.05), whereas rural farmers were more likely to perceive increases (
p
≤ 0.05) in socially related ruminant farming practices. These key drivers of farmer’s perceptions could be used to develop context-specific indicators for sustainability assessment and synchronise experts and farmers insights on sustainable ruminant farming.
Sustainable livestock production is important to ensure continuous availability of resources for future generations. Most smallholder livestock farming systems in developing countries have been ...perceived to be environmentally, socially and economically unsustainable. Farming with livestock that is robust and adaptable to harsh environments is important in developing countries especially in semi-arid and arid environments. This review discusses the different sheep farming systems employed by smallholder farmers and associated sustainability problems facing them. The review also gives an overview of sustainability indicators and limitations to the sustainability for the different smallholder sheep production systems in South Africa. It is argued that genetic diversity is important for sustainability and needs to be maintained in sheep for sustainable production and reproduction performance. The application of traditional breeding and genomics to ensure sustainable production is explored. Animal breeding approaches, specifically genomics can be applied to improve areas of environmental sustainability of smallholder sheep farming systems but must be targeted to the specific production environments, challenges, and opportunities of smallholder production. The genetic traits important for sustainability, the role of genomics in improving these traits and linking these genetic traits to different farming systems in South Africa are discussed.
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