Smallholder Farmers In Africa Research Articles

Developing a PmSLP3-based vaccine formulation that provides robust long-lasting protection against hemorrhagic septicemia-causing serogroup B and E strains of Pasteurella multocida in cattle.

Pasteurella multocida is a bacterial pathogen that causes a variety of infections across diverse animal species, with one of the most devastating associated diseases being hemorrhagic septicemia. Outbreaks of hemorrhagic septicemia in cattle and buffaloes are marked by rapid progression and high mortality. These infections have particularly harmful socio-economic impacts on small holder farmers in Africa and Asia who are heavily reliant on a small number of animals kept as a means of subsistence for milk and draft power purposes. A novel vaccine target, PmSLP-3, has been identified on the surface of hemorrhagic septicemia-associated strains of P. multocida and was previously shown to elicit robust protection in cattle against lethal challenge with a serogroup B strain. Here, we further investigate the protective efficacy of this surface lipoprotein, including evaluating the immunogenicity and protection upon formulation with a variety of adjuvants in both mice and cattle. PmSLP-3 formulated with Montanide ISA 61 elicited the highest level of serum and mucosal IgG, elicited long-lasting serum antibodies, and was fully protective against serogroup B challenge. Studies were then performed to identify the minimum number of doses required and the needed protein quantity to maintain protection. Duration studies were performed in cattle, demonstrating sustained serum IgG titres for 3 years after two doses of vaccine and full protection against lethal serogroup B challenge at 7 months after a single vaccine dose. Finally, a serogroup E challenge study was performed, demonstrating that PmSLP-3 vaccine can provide protection against challenge by the two serogroups responsible for hemorrhagic septicemia. Together, these data indicate that PmSLP-3 formulated with Montanide ISA 61 is an immunogenic and protective vaccine against hemorrhagic septicemia-causing P. multocida strains in cattle.

Revitalizing Smallholder Farming in Africa: Insights from China's Science and Technology Backyard Model

Smallholder farmers are crucial to African agriculture, yet low productivity hampers their ability to meet rising food demands from a growing population. Despite numerous support programs, traditional extension approaches and limited access to technology hinder success. The main objective of this article is to discuss how China's Science and Technology Backyard (STB) model can be adopted in African contexts as a viable solution. The STB model, proven successful in China, directly addresses the disconnection between scientists and farmers through direct collaboration in crop fields. The authors first summarize insights from the implementation of the STB model in China and then propose strategies for its adoption in Africa. The subsequent comparative analysis, combined with three case studies, shows that the STB model, which emphasizes farmer-centered innovations, has the potential to bridge knowledge gaps, enhance productivity, and stimulate rural development in Africa despite resource constraints. Finally, the authors note that strategic investments in infrastructure, coordination among stakeholders, and acknowledging associated costs are critical for the successful implementation of the STB model. Simply put, the authors believe the STB model can greatly enhance African smallholders' farming productivity, but before the model can successfully serve its functions, involved stakeholders should ensure all supporting conditions are provided.

Area-wide pest management and prospects for fall armyworm control on smallholder farms in Africa: A review

Area-wide pest management and prospects for fall armyworm control on smallholder farms in Africa: A review

Design, construction, and field testing of a spiral water wheel pump

The global expansion in farmland and the increase in the world population has compounded the need for more efficient water use. The spiral water wheel pump can be a valuable and low-cost option for pumping water for surface and subsurface irrigation for farmland near flowing water bodies. This low-cost water-lifting device, which uses the kinetic energy of a flowing stream/river to lift water to homes and farmlands, can help smallholder farmers expand the growing season into the dry season. It is more cost-effective than conventional energy sources. It can be used in areas with limited access to electricity or fossil fuels because the energy of pumping is derived from the kinetic energy of flowing water. Its simplicity, adaptability, and low maintenance requirements make it a valuable tool for communities seeking water security and improved livelihoods. The main objective of this study was to develop performance curves for a version of the pump fabricated from polyvinyl chloride (PVC) and wood, materials that are readily accessible to smallholder farmers in Africa, to optimize its performance for different field conditions. Laboratory and field tests were performed in Illinois, United States of America, and Sierra Leone, West Africa, with pumps with several pipe diameters/pipe configurations and wheel diameters. During the laboratory tests, a 0.6m diameter single-layer pump with a 2.5cm pipe diameter (18 coils) lifted water to a maximum height of 3.4m. When a 3.8cm pipe diameter (10 coils) was used, the maximum height was reduced to 2.7m. Field tests at an experimental site in Fulton County, Illinois, generated a maximum height of 3.4m and 3.1m when 2.5cm pipe diameters were used on 1.22m and 0.6m diameter wheels, respectively. In Sierra Leone, the maximum height generated was 16m and 8.5m for the 1.22m and 0.6m diameter wheels, respectively, with a 1.9cm pipe diameter. In all the field tests, the pumps only worked when the water velocity exceeded 0.6 ms-1, smaller streams with a velocity less than 0.6 ms-1 can be channeled if necessary. These results indicate that this pump can improve dry season productivity for farmland near the flowing water bodies in developing countries like Sierra Leone. Key words: Wheel diameter, pipe diameters, pipe configuration, discharge rate, stream velocity

A systematic review identifying the drivers and barriers to the adoption of climate-smart agriculture by smallholder farmers in Africa

Climate change impact, food security concerns, and greenhouse gas emissions are pressuring agricultural production systems in developing countries. There is a need for a shift toward sustainable food systems. One of the concepts introduced to drive this shift is climate-smart agriculture (CSA), endorsed by international organizations to address multifaceted challenges. Despite widespread attention and support, the adoption of CSA among African farmers remains low. This systematic literature review aims to shed light on the factors influencing CSA adoption amongst African farmers. Within the articles identified as relevant, over 50 CSA practices and more than 40 factors influencing CSA adoption were distinguished. These influencing factors can be categorized as personal, farm-related, financial, environmental, and informational. The focus of this review is to identify and explain the overall impact (positive, negative, or mixed) of these factors on CSA adoption. Overall, many factors result in mixed effects, only some factors have an unambiguous positive or negative effect on CSA adoption. For instance, educational level emerges as a key personal factor, positively impacting CSA adoption, along with positive influences from farmers' experience and farm size among farm-related factors. Financial factors reveal distinct patterns, with income from farming and access to credit positively influencing adoption, while off-farm income exhibits a negative effect. Environmental factors, though less researched, indicate positive impacts related to changes in rainfall patterns, temperature, and droughts. Lastly, informational factors consistently exhibit a positive effect on CSA adoption, with training, access to extension, group memberships, climate information, and CSA awareness playing crucial roles. These findings provide valuable insights for policymakers seeking to enhance CSA adoption in Africa, offering a nuanced understanding of the multifaceted dynamics at play.

Bridging the gap? Public–private partnerships and genetically modified crop development for smallholder farmers in Africa

Societal Impact StatementGenetically modified (GM) crops have the potential to address multiple challenges for African smallholder farmers but are limited by several institutional constraints. Public–private partnerships (PPPs) are seen as an organizational fix to one such constraint, bringing privately held intellectual property rights on key crop technologies to African public institutions to develop GM crops for smallholder farmers. Here, a new comprehensive dataset of GM crops in Africa is used to understand the extent and efficacy of PPP‐led GM crop development for smallholder farmers and discuss what might limit their potential in the future.Summary Genetically modified (GM) crops are promoted as a key tool to address multiple challenges in Africa, including the impacts of climate change and food insecurity. Observers have noted, however, significant institutional challenges to achieving such goals, most notably, intellectual property rights (IPR) to key GM traits being held by private companies who have limited incentives to develop those technologies for smallholder farmers. To bridge the gap between privately held IPR and pro‐poor crop breeding, advocates have called for increased funding for institutional innovations such as public–private partnerships (PPPs) to facilitate the transfer of crop technologies from private companies to public research institutes. For the past two decades, donors and firms have invested considerable resources toward PPPs. However, to date, few research efforts have empirically examined the extent and effectiveness of PPPs at the continental scale. This study draws from a new comprehensive dataset on GM crop research and development in Africa to examine whether the anticipated advantages of PPPs have resulted in an improved ability to deliver GM crops to smallholder farmers. We find that although PPP research has focused on crops and traits more relevant for smallholder farmers, many of these efforts have been suspended, with only one crop thus far reaching the hands of farmers. PPPs can address some issues related to GM crop development but still appear constrained by other institutional challenges, which may limit their development, reach, and the achievement of targeted benefits for smallholder farmers.

MASSAI: Multi-agent system for simulating sustainable agricultural intensification of smallholder farms in Africa

The research and development needed to achieve sustainability of African smallholder agricultural and natural systems has led to a wide array of theoretical frameworks for conceptualising socioecological processes and functions. However, there are few analytical tools for spatio-temporal empirical approaches to implement use cases, which is a prerequisite to understand the performance of smallholder farms in the real world. This study builds a multi-agent system (MAS) to operationalise the Sustainable Agricultural Intensification (SAI) theoretical framework (MASSAI). This is an essential tool for spatio-temporal simulation of farm productivity to evaluate sustainability trends into the future at fine scale of a managed plot. MASSAI evaluates dynamic nutrient transfer using smallholder nutrient monitoring functions which have been calibrated with parameters from Malawi and the region. It integrates two modules: the Environmental (EM) and Behavioural (BM) ones.•The EM assess dynamic natural nutrient inputs (sedimentation and atmospheric deposition) and outputs (leaching, erosion and gaseous loses) as a product of bioclimatic factors and land use activities.•An integrated BM assess the impact of farmer decisions which influence farm-level inputs (fertilizer, manure, biological N fixation) and outputs (crop yields and associated grain).•A use case of input subsidies, common in Africa, markedly influence fertilizer access and the impact of different policy scenarios on decision-making, crop productivity, and nutrient balance are simulated. This is of use for empirical analysis smallholder's sustainability trajectories given the pro-poor development policy support.

Strigolactone biosynthesis lgs1 mutant alleles mined from the sorghum accession panel are a promising resource of resistance to witchweed (Striga) parasitism

Societal Impact StatementStriga is a parasitic plant that greatly limits the production of Africa's most staple cereals, including sorghum. Infection occurs when the parasite germinates in response to biomolecules emitted into the soil from the host's roots. Some sorghum genotypes harbor a mutation that makes them ineffective in stimulating Striga seed germination. This resistance is of great importance because of its possible application in Striga management. Here, additional resistant sorghum genotypes with varying levels of Striga resistance are discussed in the context of their candidacy for integration in breeding programs and their possible role in alleviating food insecurity in sub‐Saharan Africa by reducing crop losses because of Striga infestation.Summary Sorghum is a food staple for millions of people in sub‐Saharan Africa, but its production is greatly diminished by Striga, a parasitic weed. An efficient and cost‐effective way of managing Striga in smallholder farms in Africa is to deploy resistant varieties of sorghum. Here, we leverage genomics and the vast genetic diversity of sorghum—evolutionarily adapted to cope with Striga parasitism in Africa—to identify new Striga‐resistant sorghum genotypes by exploiting a resistance mechanism hinged on communication molecules called strigolactones (SLs), exuded by hosts to trigger parasite seed germination. We achieved this by mining for mutant alleles of the LOW GERMINATION STIMULANT 1 (LGS1) that are ineffective in stimulating Striga germination from the sorghum accession panel (SAP). Our analysis identified lgs1 sorghum genotypes, which we named SAP‐lgs1. SAP‐lgs1 had the SL exudation profile of known lgs1 sorghum, whose hallmark is the production of the low inducer of germination, orobanchol. Laboratory and field resistance screens showed that the SAP‐lgs1 genotypes also exhibited remarkable resistance against Striga. Our findings have the potential to reduce crop losses because of Striga parasitism and therefore have far‐reaching implications for improving food security in Africa.

Essential plant nutrients impair post‐germination development of Striga in sorghum

Societal Impact StatementInfestation by the parasitic weed Striga is a major cause of cereal crop production losses on smallholder farms in Africa. Essential plant nutrients play an important indirect role in parasite seed germination, the first prerequisite for successful parasitism. Here, we demonstrate that increasing the nutrient availability for the host plant can also impede Striga development beyond its germination, independent of the resistance levels of the sorghum host. This insight provides additional support for crop protection recommendations to Striga‐affected farmers. Growing a resistant crop variety combined with adequate levels of fertilisers should be the backbone of defence against this parasitic weed.Summary Striga hermonthica is a widespread parasitic weed in sub‐Saharan Africa and an important biotic constraint to sorghum production. Resistant varieties and fertilisers are crucial components of integrated Striga management. N and P fertilisers reduce the production of host‐plant strigolactones, known as Striga germination stimulants, and thereby reduce infection. Whether essential plant nutrients affect the parasite–host interaction beyond Striga germination is unknown. We conducted mini‐rhizotron assays to investigate the effects of macronutrient and micronutrient availability on post‐germination Striga development. Four sorghum genotypes (Framida, IS10978, N13, IS9830) covering the complete array of known mechanisms of post‐attachment resistance were compared with susceptible genotype Ochuti. Plants were infected with pre‐germinated Striga seeds and subjected to four nutrient treatment levels: (1) 25% of the optimal concentration of Long Ashton solution for cereals; (2) 25% macronutrient and optimal micronutrient concentration; (3) optimal macronutrient and 25% micronutrient concentration; and (4) optimal macronutrient and micronutrient concentrations. Compared with the 25% base nutrient level, treatments supplemented with macronutrients reduced the number of viable vascular connections established by pre‐germinated Striga seedlings as well as the total parasite biomass on the sorghum root system. Macronutrient treatment effects were observed across sorghum genotypes, independent of the presence and type of post‐attachment resistance, but appeared to specifically improve mechanical resistance, hypersensitive and incompatibility responses before Striga reaches the host‐root xylem. This study demonstrates, for the first time, that nutrient availability drives Striga parasitism beyond the germination stages. Increased availability of nutrients, in particular macronutrients, enhances host‐plant resistance in post‐attachment stages, reinforcing the importance of current fertiliser recommendations.

Managing fall armyworm, Spodoptera frugiperda (Lepidoptera: Noctuidae): Experience from smallholder farmers in central and western Africa

AbstractThe fall armyworm, Spodoptera frugiperda (J. E. Smith) (Lepidoptera: Noctuidae), is currently an important pest of maize crops worldwide not only because of its dispersal ability but also because of its polyphagous feeding behaviour. Lack of sufficient information on the management of the fall armyworm attacks remains a crucial problem for maize smallholder farmers in Africa. In this study, 420 farmers were surveyed in central and west Africa using individual interviews to assess farmers' knowledges and perceptions of the fall armyworm damages and the management practices used. Most farmers (99.4%) were shown to recognize the fall armyworm and 92.5% claimed to already have damages in their fields. The fall armyworm seems not to be a new pest as most farmers identified it in different countries from 2015 to 2019. Apart from maize as the preferred crop of S. frugiperda, several alternative host plants including Napier grass, sorghum, onion, and cabbage were identified by the farmers. Although cultural and mechanical control methods are used by several farmers, the synthetic pesticide market is still preferred by almost half of the farmers (44.28%) who still use them. To control fall armyworm, 96.4% in Burkina Faso, 85.3% in Gabon, 65.2% in Benin and 25% in DR Congo reported using insecticides, against 5.9% in Senegal. Semiochemical‐based method and biological control by promoting natural enemies of the fall armyworm are new concepts for farmers in DR Congo, Gabon and Benin. To avoid additional problems regarding health and resilience of agricultural systems, alternative methods such as push–pull approach, the development of biopesticides and resistant cultivars should form the basis of training given to farmers and should be popularized for sustainable control of the fall armyworm in central and west Africa.

Estimating agriculture technologies’ impact on maize yield in rural South Africa

New technologies and digital infrastructures are enabling smart farming with high productivity levels across countries. Yet, there is dearth of evidence on how they are enabling smallholder farmers in Africa to increase their farm produce. By focussing on smallholder maize crop producers in South Africa and relying on a panel data for the period 2011–2021, this study applied a stochastic production frontier framework and Cobb–Douglas production function to estimate the relationship between variance of yield increase in relation to aggregate modern technologies adopted. The stochastic production frontier model was estimated using simple ordinary least square, maximum likelihood estimation and probit regressions. The analysis adopted a three-stage procedure which began with the specification of regression model, the calculation of least residuals squares of the explanatory variables and finally the estimation of the variances in the functional forms of output levels. The results revealed a positive relation between the application of digital agriculture technologies and increased crop performance for rural maize cultivators in South Africa. The policy inference from this study is that accelerating investment in digital agriculture infrastructure offers the promise of a quadruple return for South Africa’s agriculture sector.

Managing soil organic carbon in tropical agroecosystems: evidence from four long-term experiments in Kenya

Abstract. In sub-Saharan Africa, maize is one of the most important staple crops, but long-term maize cropping with low external inputs has been associated with the loss of soil fertility. While adding high-quality organic resources combined with mineral fertilizer has been proposed to counteract this fertility loss, the long-term effectiveness and interactions with site properties still require more understanding. This study used repeated measurements over time to assess the effect of different quantities and qualities of organic resource addition combined with mineral nitrogen (N) on the change of soil organic carbon (SOC) contents over time (and SOC stocks in the year 2021) in four ongoing long-term experiments in Kenya. These experiments were established with identical treatments in moist to dry climates, on coarse to clayey soil textures, and have been conducted for at least 16 years. They received organic resources in quantities equivalent to 1.2 and 4 t C ha−1 yr−1 in the form of Tithonia diversifolia (high quality, fast turnover), Calliandra calothyrsus (high quality, intermediate turnover), Zea mays stover (low quality, fast turnover), sawdust (low quality, slow turnover) and local farmyard manure (variable quality, intermediate turnover). Furthermore, the addition of 240 kg N ha−1 yr−1 as mineral N fertilizer or no fertilizer was the split-plot treatment. At all four sites, a loss of SOC was predominantly observed, likely because the sites had been converted to cropland only a few decades before the start of the experiments. Across sites, the average decline of SOC content over 19 years in the 0 to 15 cm topsoil layer ranged from 42 % to 13 % of the initial SOC content for the control and the farmyard manure treatments at 4 t C ha−1 yr−1, respectively. Adding Calliandra or Tithonia at 4 t C ha−1 yr−1 limited the loss of SOC contents to about 24 % of initial SOC, while the addition of sawdust, maize stover (in three of the four sites) and sole mineral N addition showed no significant reduction of SOC loss over the control. Site-specific analyses, however, did show that at the site with the lowest initial SOC content (about 6 g kg−1), the addition of 4 t C ha−1 yr−1 farmyard manure or Calliandra with mineral N led to a gain in SOC contents. The other sites lost SOC in all treatments, albeit at site-specific rates. While subsoil SOC stocks in 2021 were little affected by organic resource additions (no difference in three of the four sites), the topsoil SOC stocks corroborated the results obtained from the SOC content measurements (0–15 cm) over time. The relative annual change of SOC contents showed a higher site specificity in farmyard manure, Calliandra and Tithonia treatments than in the control treatment, suggesting that the drivers of site specificity in SOC buildup (soil mineralogy, soil texture, climate) need to be better understood for effective targeting management of organic resources. Farmyard manure showed the highest potential for reducing SOC losses, but the necessary quantities to build SOC are often not realistic for smallholder farmers in Africa. Therefore, additional agronomic interventions such as intercropping, crop rotations or the cultivation of crops with extended root systems are necessary to maintain or increase SOC.

Agroecological techniques: adoption of safe and sustainable agricultural practices among the smallholder farmers in Africa

Attaining sufficiency in food supply to support a growing population without compromising ecosystem functioning remains a top agenda of researchers and agricultural stakeholders. Agroecological farming approaches are effective techniques that ensure sustainable food production even in adverse situations. Population growth has been forecasted to reach over 9.1 billion by 2050 outpacing food production. However, cereals and grain legumes are strategic to achieving the United Nations Sustainable Development Goal of zero hunger by 2030 (SDG 2), ending extreme poverty (SDG 1), and mitigating the climate change effect (SDG 13). There remains an urgent need to embrace more sustainable measures to increase food production for the growing population. This review explores the role of agroecology which employs a transdisciplinary approach to sustainable agricultural practices to improve the resilience of farming systems by increasing diversification through poly-cropping, agroforestry, use of local varieties, and integrated crop and livestock systems. Furthermore, the agroecological farming approach minimizes water use, lowers pollution levels on the farm, and ensures economic profitability for the farmers. Thus, application of agroecology techniques among the smallholder farmers is strategic to ensuring food security.

Is agricultural digitization a reality among smallholder farmers in Africa? Unpacking farmers' lived realities of engagement with digital tools and services in rural Northern Ghana

BackgroundDigital technologies are promoted as transformational for smallholders in Africa through the potential to enhance access to knowledge, increase productivity and food security. Despite the anticipations for agricultural digitalization in Africa, smallholders' engagement with digitalization is empirically underexplored. Hence, we surveyed 1565 rural farmers in Northern Ghana to explore how farmers interact with digital tools and services, and the variations in their engagements.ResultsWe found that despite the growing array of digital opportunities (with diverse tools and services available to farmers), farmers are mainly confined to simple devices (mobile phones, radio, and TV) as access to digital resources, including the internet remains limited. Meanwhile, the main sources of digitalization services for smallholders remain largely the highly subisidized, development-orieted. NGOs and private-sector projects, which generally leverage SMS, Interactive Voice Response (IVR), radio, or field agents to reach farmers. Nonetheless, participation in digitalization services remains limited, unimpressive at best, and often fades over time because of weak building blocks evident in low literacies, lack of digital competencies and the limited access to digital resources.ConclusionsThus, full-scale digitalization remains a distant goal, and transformation claims are disconnected from smallholders' lived realities. However, opportunities exist to create a ‘digitalization for smallholders’ that is sensitive to the current and future structural limitations of smallholder agriculture, including low literacy and limited access to digital tools, to make agriculture digitalization reach its full potential in Africa.

Determinants of maize farmers market participation in Southern Ethiopia: Emphasis on demographic, socioeconomic and institutional factors

Maize is the main cereal crop that supports the livelihoods of millions of smallholder farmers in Africa. However, one of the main bottlenecks for maize production is low market penetration. This study examined the factors influencing the likelihood of smallholder farmers taking part in maize trading in southern Ethiopia using cross-sectional data collected from 360 smallholder maize growers. The data were examined with inferential statistics and the Heckman two-stage sample selection econometric model. Household head age and sex, maize price, household size, farm experience, market distance, access to transportation, frequency of extension contact, land size, amount of credit received, market information, and off-farm income were all found to be significant factors that determine maize farmers’ market participation. Investment in road infrastructure in maize production potential areas and access to market information is mainly needed to increase maize trading.

Do farmers’ risk preferences remain stable in the face of climatic shocks? Evidence from smallholder farmers in Zambia

ABSTRACT Smallholder farmers in Africa are vulnerable to changing climatic conditions because of their dependence on rainfed agriculture. Their adaptation strategies, which are critical for food security, are oftentimes influenced by their risk-taking attitude. This study examines whether experiencing climatic shocks (defined here as drought events) shapes farmers’ risk aversion. The study addresses two crucial questions: 1) how do drought events alter risk preferences among smallholder farmers; and 2) how long does the impact last? Using a panel survey from Zambia and high spatial resolution climate data, we infer the average Arrow-Pratt and downside risk aversion coefficients from the moment of the distribution of crop production. We find that, on average, the sampled farmers are risk averse. Furthermore, farmers who experienced a drought in the previous year become more risk averse, while farmers who experienced recurring droughts within the previous three years become even more risk averse. We also find that the effect of climatic shocks on risk preferences is short term, lasting only one year. These results have implications on adaptation to climate change.

Sustainable Scaling of Climate-Smart Agricultural Technologies and Practices in Sub-Saharan Africa: The Case of Kenya, Malawi, and Nigeria

In the wake of climate change, climate-smart agriculture has been proposed as an option for mitigation and adaptation to the attendant harsh impacts among smallholder farmers in Africa. The approach has been promoted for nearly two decades in Kenya, Nigeria, and Malawi, but with low adoption among farmers. This study therefore sought to determine the pathways for sustainable scaling of climate-smart agricultural technologies and practices in the three countries. Secondary and primary data were obtained from desk review, field survey, key informant interviews, and focus group discussions. Data was analyzed using descriptive statistics and multivariate probit regression. The multivariate probit regression result showed eight negative correlated coefficients between the climate-smart agriculture technologies and practices adopted, thus implying that the practices are substitutes for each other. It was observed that gender had no significant influence on the adoption of a set of practices (refuse retention, minimum tillage, green manure, and mulching) but influenced significantly the adoption of early maturing varieties. Implicitly, therefore, apart from gender, the adoption of climate-smart agriculture technologies and practices might often be due to other factors.

Lessons from integrated seasonal forecast-crop modelling in Africa: A systematic review.

Seasonal forecasts coupled with crop models can potentially enhance decision-making in smallholder farming in Africa. The study sought to inform future research through identifying and critiquing crop and climate models, and techniques for integrating seasonal forecast information and crop models. Peer-reviewed articles related to crop modelling and seasonal forecasting were sourced from Google Scholar, Web of Science, AGRIS, and JSTOR. Nineteen articles were selected from a search outcome of 530. About 74% of the studies used mechanistic models, which are favored for climate risk management research as they account for crop management practices. European Centre for Medium-Range Weather Forecasts and European Centre for Medium-Range Weather Forecasts, Hamburg, are the predominant global climate models (GCMs) used across Africa. A range of approaches have been assessed to improve the effectiveness of the connection between seasonal forecast information and mechanistic crop models, which include GCMs, analogue, stochastic disaggregation, and statistical prediction through converting seasonal weather summaries into the daily weather. GCM outputs are produced in a format compatible with mechanistic crop models. Such outputs are critical for researchers to have information on the merits and demerits of tools and approaches on integrating seasonal forecast and crop models. There is however need to widen such research to other regions in Africa, crop, farming systems, and policy.

Longitudinal transcriptome analysis of cattle infected with Theileria parva

The apicomplexan cattle parasite Theileria parva is a major barrier to improving the livelihoods of smallholder farmers in Africa, killing over one million cattle on the continent each year. Although exotic breeds not native to Africa are highly susceptible to the disease, previous studies have illustrated that such breeds often show innate tolerance to infection by the parasite. The mechanisms underlying this tolerance remain largely unclear. To better understand the host response to T. parva infection we characterised the transcriptional response over 15 days in tolerant and susceptible cattle (n = 29) naturally exposed to the parasite. We identify key genes and pathways activated in response to infection as well as, importantly, several genes differentially expressed between the animals that ultimately survived or succumbed to infection. These include genes linked to key cell proliferation and infection pathways. Furthermore, we identify response expression quantitative trait loci containing genetic variants whose impact on the expression level of nearby genes changes in response to the infection. These therefore provide an indication of the genetic basis of differential host responses. Together these results provide a comprehensive analysis of the host transcriptional response to this under-studied pathogen, providing clues as to the mechanisms underlying natural tolerance to the disease.

Towards sustainable productivity enhancement of rice-based farming systems in sub-Saharan Africa

In the past 50 years, rice has become an important crop for food security in sub-Saharan Africa. However, rice yields remain relatively low, and large yield gaps exist. This Special Issue brings together agronomy research on rice-based farming systems in sub-Saharan Africa and addresses three main, overarching questions: (1) what has been achieved in the past decades in terms of rice agronomy in sub-Saharan Africa, (2) what is the state-of-the-art regarding development of technologies and (3) what will be likely or required future directions? The broad topics included in this Special Issue are (1) yield trends and yield gap analyses, (2) soil & nutrient, water, weed and integrated crop management practices, (3) cropping systems, (4) genetic improvements, (5) crop simulation modeling, and (6) assessment of farmers’ rice cultivation practices and the sustainability of these practices. The papers cover different sub-regions, from the Sahel to the highlands of Madagascar and three major rice growing environments (irrigated lowlands, rainfed lowlands, and rainfed uplands). In this paper we describe the major challenges in the rice production sector in sub-Saharan Africa and historical efforts on agronomy research, and we provide a short introduction and discussion on the papers presented in this Special Issue. This Special Issue arrives at six main recommendations. 1. There is a need to increase research and development efforts focusing on rainfed rice-based systems. 2. More attention needs to be paid to research on the farming system or landscape level, aimed at development of integrated cropping and farming systems and integrated agronomic solutions. 3. Current and future agronomic rice research should thematically center around sustainability, including judicious natural resources management, climate change adaptation and mitigation, and conservation of biodiversity and environments. 4. To operationalize this, sustainability performance indicators need to be developed and used. 5. There is broad consensus regarding the need for more labor-saving technologies, including mechanization options, provided these do not increase the ecological footprint of production systems. 6. Future rice agronomy research work should be interdisciplinary and transdisciplinary, to better address the myriad of challenges of smallholder farmers in Africa. Papers presented in this Special Issue should inform on the state-of-the art in rice agronomy in SSA, and on ways to sustainably enhance rice production and self-sufficiency in this region.