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Climate change significantly impacts global agricultural productivity. Therefore, a more dynamic farming system is needed to enable farmers to better adapt to climate change while contributing to efforts to produce enough food to feed the growing world population. In the context of climate change, this study analyzed the empirical scientific literature on the link between climate-smart agriculture and farm productivity. To evaluate the relevant articles, the authors used the search term "climate-smart agriculture amidst climate change to enhance agricultural production (CSA-CCAP)" to find studies published between 2009 and March 2022 using innovative bibliometric techniques. One hundred and sixteen published papers in BibTeX format were downloaded for further analysis. The most successful selected CSA approaches in Africa, such as in the Congo Basin forest, including sustainable land management practices, water-efficient maize hybrids, and others, aim to counteract climate change with signs of 200 percent output gains. The findings showed an annual growth rate of about 19%, demonstrating that research on CSA-CCAP expanded over time during the study period. Nonetheless, the research output on CSA-CCAP varied, with 2021 accounting for 30%, followed by 2020 with 16% as of March 2022. The study concluded that boosting agricultural productivity in the face of climate change may be accomplished through CSA to end hunger, eradicate poverty, and improve people's well-being. [ABSTRACT FROM AUTHOR]

This paper explores the nexus between agricultural production, renewable energy, foreign direct investment (FDI), and carbon emissions in Africa, where there is limited evidence on the topic. Relying on panel data covering thirty-one African countries obtained from the World Bank World Development Indicators and FAOSTAT databases, we answered the question of whether agricultural production (proxied by livestock production, fertilizer consumption, and land under cereal cultivation), the use of renewable energy, and FDI increase or reduce carbon emissions. Using the panel autoregressive distributed lag model for analysis, our results show that net FDI, fertilizer consumption, livestock production significantly increased carbon emissions, both in the short run and long run. Meanwhile, renewable energy use consumption significantly decreased carbon emissions, both in the short run and long run. Specifically, a 1% increase in net FDI increased total carbon emissions by 0.003% in the short run and by 0.01% in the long run. Renewable energy consumption significantly decreased carbon emissions, both in the short run and long run. A 1% increase in renewable energy consumption decreased total carbon emissions by 0.16% in the short run and by 0.22% in the long run. Additionally, fertilizer consumption and livestock production significantly increased carbon emissions in the short run and long run. A 1% increase in fertilizer consumption increased total carbon emissions by 0.01% in the short run and by 0.04% in the long run, while a 1% increase in livestock production increased total carbon emissions by 0.20% in the short run and by 0.56% in the long run. The findings call for investment in renewable energy technologies and consumption while advocating for large-scale uptake of climate-smart agriculture, and environmentally friendly targeted foreign direct investments on the continent. [ABSTRACT FROM AUTHOR]

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Agricultural biotechnology is enhancing agricultural productivity, food security, and livelihoods globally. Some developing countries have established functional biosafety regulatory systems and have commercialized genetically modified (GM) crops. Release of GM crops requires enhanced capacity for regulatory compliance and product stewardship to help ensure sustainable use of biotechnology products. We conducted a survey of 66 stakeholders, mostly from Africa and Asia, in two-week international agricultural biotechnology short courses. Respondents showed knowledge of biotechnology benefits and expressed potential barriers to commercialization. They identified 16 crops in the "pipeline for commercialization." Stakeholders also shared ideas about how to build capacity for product stewardship. Product stewardship is a concept which requires each person in the product life cycle – innovators, scientists, and technology users, to share responsibility. This paper focuses on adoption of product stewardship for post-release management of GM crops which encompasses trait performance, resistance management, integrated pest management (IPM), good agricultural practices, high-quality seeds and planting material, intellectual property management, labeling, identity preservation, consumer acceptance, and effective marketing. [ABSTRACT FROM AUTHOR]

Cassava is one of the six food items identified as a critical food product for Africa, owing to its importance to African farmers' lives and ability to alter African economies. However, Cassava plant diseases have affected the yield of farmers significantly which has led to a decline in the agricultural production of cassava. Therefore, the aim of this research work is to develop a web and mobile applications-based system that would be able to detect cassava diseases based on its leaf images. To achieve this aim, pre-trained Convolutional Neural Network (CNN) models were selected using their previous performance and the application of transfer learning technique, new models were developed to classify cassava diseases based on the dataset curated and pre-processed. The best three models were selected: MobileNetV2, VGG16 and ResNet50. After training, the accuracy for each model was: 98%, 92% and 75% for MobileNetV2, VGG16 and ResNet50 respectively. Following evaluation of performance, the model with the best accuracy (MobileNetV2) was deployed using a web application interface. After deploying as a web and mobile apps interface, it was further tested to see how it would perform on the field. This research work was found capable of aiding farmers in being able to timely detect the type of disease affecting their cassava plants and the correct treatment to utilize; this also contribute towards Sustainable development goals (SDG) 2 and 12. [ABSTRACT FROM AUTHOR]

The impact of agricultural productivity growth on the process of structural change, an increase in the share of labor employed in manufacturing, is a much debated topic. One perspective argues that agricultural productivity promotes structural change via its contribution of various resources to the manufacturing sector. Another hypothesis proposed is that agricultural productivity growth will draw resources away from agriculture. This paper hypothesizes that agricultural productivity growth plays a key role in the structural change process, but not necessarily through the mechanisms usually proposed. It is hypothesized here that agricultural productivity growth improves the quality of human labor (measured by the human development index, human capital accumulation, and reductions in infant mortality). In turn, improvements in the quality of human labor make it more profitable to employ labor in manufacturing and thus structural change, measured by the share of manufacturing employment in total employment, increases. These hypotheses are tested using dynamic ordinary least squares (DOLS) techniques utilizing data from seventeen countries in Sub-Saharan Africa. The findings indicate that agricultural productivity growth has a significant positive impact human labor quality as measured by the human development index, human capital accumulation, and reductions in infant mortality. In addition, improvements in the quality of human labor in turn have a significant positive impact on the extent of structural change as measured by the share of manufacturing employment as a share of total employment. In addition, trade, as measured by exports plus imports divided by GDP, also has a significant positive impact on the extent of structural change. Finally, inflation appears to slow the structural change process. The policy implications are straightforward. Agricultural productivity does indeed seem to be important in the process of structural change. Thus development programs involving Sub-Saharan Africa should focus on investment in the development of agricultural technologies that will raise agricultural productivity. In a broader sense, governments should focus investment on improving the overall quality of labor. [ABSTRACT FROM AUTHOR]

Climate change seriously influences the livelihoods of African farmers. It was, therefore, felt useful to make an inventory of what climate change really means for them. In this review in three parts, climate change is approached by dealing with the three sides from which the danger comes: (i) global warming, (ii) increasing climate variability, (iii) more (and possibly more severe) meteorological and climatological extreme events. These are the three panels of this triptych review. Vulnerable communities already suffer. They are, therefore, urgently in need of assistance aimed at building resilience, and at undertaking climate change adaptation efforts to survive and to maintain their livelihoods. Climate change adaptation projects - especially if implemented in the context of adaptation strategies at the macro level - often mobilize public and private stakeholders, engaging them in the problem-solving process. Scientists have an important role to play in these projects. One of the major problems in guiding rural change, in a rural response to climate change, is the low formal level of education that most farmers have and for which governments have done very little to upgrade it. Improved climate literacy is needed among farmers and a better trained extension that can guide farmers in further rainfall monitoring and rainfall interpretation. Further agro-ecosystem observations that, with the rainfall distribution, explain yields and yield differences are also needed. While it is relatively easy to define technical messages that can be communicated, one must look beyond "adaptation to current climate variability". The basic vulnerability factors of communities must be targeted. One of the problems faced is that experts on climate variability and climate change do not really know what information the grassroots need in the short- and medium-term. However, people assisting vulnerable communities do not know what science generated products are available and how to use them. In this first part of the paper, the consequences of global warming are dealt with at length. Increasing temperatures and changing rainfall patterns get attention first. Other consequences of increasing atmospheric carbondioxide contents and how they influence agricultural production in Africa are also discussed. Ten text boxes distributed over the three parts illustrate local conditions that must be taken into account to understand the impacts/consequences of climate change for African farmers and how they may cope with them. [ABSTRACT FROM AUTHOR]

In this paper in three parts, climate change is approached by dealing with the three sides from which the danger comes: (i) global warming, (ii) increasing climate variability, (iii) more (and possibly more severe) meteorological and climatological extreme events. These are the three panels of this triptych review and the right panel on climate extremes and society's responses, including mitigation attempts as part of preparedness of African farmers, is this part. The occurrence of more (and possibly more severe) extreme meteorological/climatological events, as another likely consequence of climate change, is discussed, reviewing the literature and dealing for Africa with recent droughts and famines. It appears that there is more than sufficient proof that the numbers of disasters have risen globally, and on average at an increasing rate, over the last half a century, with more evidence in the later decades. Extreme hazards have a shorter recurrence time but whether they also have become more severe cannot be easily determined. This is due to developments in observations, populations and vulnerabilities and lack of developments in climate models. Only for increased temperature related disasters, severity has clearly become larger. However, recent more realistic calculations appear to suggest that there has been little change in drought over the past 60 years. In physical terms, there is also little or no evidence of increased severity of floods over the past century. Increasing farmer preparedness will be an important part of better responses to these conditions. The traditional response farming as to droughts, floods (annual recession and recurrent occasional ones), strong winds and other serious disasters should be among starting points. At the end of this paper, the contributions that tropical agriculture can make to reduce greenhouse gases (GHGs) in win-win situations are also dealt with. Soil carbon sequestration has a higher mitigation potential than emission reductions in African agriculture, although both may be important. These are best achieved under management systems with higher carbon density, as well as improved soil conservation. Agroforestry, assisted natural regeneration, forest rehabilitation, forest gardens, and improved forest fallow projects should all be eligible under the Clean Development Mechanism. Throughout the paper text boxes are used that illustrate local conditions that must be taken into account to understand the impacts/consequences of climate change for African farmers and how they may cope with them. [ABSTRACT FROM AUTHOR]

In this paper in three parts, climate change is approached by dealing with the three sides from which the danger comes: (i) global warming, (ii) increasing climate variability, (iii) more (and possibly more severe) meteorological and climatological extreme events. These are the three panels of this triptych review and this left panel is about (ii). This second panel starts with a compelling review of the present situation of food security, referring to African examples to improve the situation. Then the influence is discussed that the El Niño Southern Oscillation (ENSO) has on increasing climate variability as a consequence of climate change. It is indicated that, to date, climate models have been developed with little knowledge of agricultural systems dynamics. On the other hand one can illustrate that agricultural policy analysis has been conducted with little knowledge of climate dynamics. As a direct consequence of capricious behaviour of particularly rainfall in West Africa, the adaptation of its farmers has lagged behind enormously. This statement is valid for most farmers in sub-Saharan Africa. Within the climate science community there is an emerging effort to make findings more suitable for decision making, but as yet there is little consensus as to how data may be relied upon for decision making. Then a lot of attention is paid to how response farming, that is thoroughly defined, can play an important role in coping with the consequences of climate variability. Response farming is often limited envisaging rainfall events, but coping with weather and climate (and often soil) disasters as well as using windows of weather and climate (and often soil) opportunities are other forms of responding to weather and climate (and often soil) realities. Services such as in advice on design rules on above and below ground microclimate management or manipulation, with respect to any appreciable microclimatic improvement: shading, wind protection, mulching, other surface modification, drying, storage, frost protection and so on belong to such "response farming" agrometeorological services. Ideally, to get optimal preparations, farmers get advisories/services through extension intermediaries, backed by scientists, to properly understand decision options through discussions supported by economic analyses. Throughout the paper text boxes are used that illustrate local conditions that must be taken into account if one wants to understand the impacts/consequences of climate change for African farmers and how they may cope with them. [ABSTRACT FROM AUTHOR]

This paper explores ways to increase public investments in agricultural water management and irrigation for improved agricultural productivity in Southern Africa, with a specific focus on Malawi, Mozambique and Zambia. The analysis was based on a critical review of literature and assessment of the national agricultural investment plans and agricultural/water policies in the study countries. Despite the potential to improve agricultural productivity, irrigation does not currently play a significant role in Southern African agriculture. There have been efforts and formal commitments at the continental, regional and country levels to promote investments in agricultural water management and irrigation to improve and sustain agricultural productivity. However, despite these commitments, actual implementation has been a challenge and the first 5 years of national agricultural investment plans have passed or are now coming to an end without much progress having been made regarding actual investments. Lack of adequate resources and institutional capacity have been some of the challenges affecting implementation of the investment plans to meet commitments in sustainable land and water management. Overall, as countries plan for the second phase of the CAADP programme, there are opportunities to ensure that investments in agricultural water management and irrigation and complementary technologies are prioritised and allocated adequate resources for implementation. [ABSTRACT FROM AUTHOR]

We discuss recent trends in agricultural productivity in Africa and highlight how technological progress in agriculture has stagnated on the continent. We briefly review the literature that tries to explain this stagnation through the lens of particular constraints to technology adoption. Ultimately, none of these constraints alone can explain these trends. New research highlights pervasive heterogeneity in the gross and net returns to agricultural technologies across Africa. We argue that this heterogeneity makes the adoption process more challenging, limits the scope of many innovations, and contributes to the stagnation in technology use. We conclude with directions for policy and what we feel are still important, unanswered research questions. [ABSTRACT FROM AUTHOR]

Evaluates the papers on agricultural productivity in Africa submitted by Savadago et al., Jayne et al. and S. Block.

Understanding the extent and adapting to the impacts of climate change in the agriculture sector in Africa requires robust data on which technical and policy decisions can be based. However, there are no publicly available comprehensive data of which crops are suitable where under current and projected climate conditions for impact assessments and targeted adaptation planning. We developed a dataset on crop suitability of 23 major food crops (eight cereals, six legumes & pulses, six root & tuber crops, and three in banana-related family) for rainfed agriculture in Africa in terms of area and produced quantity. This dataset is based on the EcoCrop model parameterized with temperature, precipitation and soil data and is available for the historical period and until mid-century. The scenarios used for future projections are SSP1:RCP2.6, SSP3:RCP7.0 and SSP5:RCP8.5. The dataset provides a quantitative assessment of the impacts of climate change on crop production potential and can enable applications and linkages of crop impact studies to other socioeconomic aspects, thereby facilitating more comprehensive understanding of climate change impacts and assessment of options for building resilience. [ABSTRACT FROM AUTHOR]

The sustainable intensification of African agriculture is gaining momentum with the compelling need to increase food and agricultural production. In Southern Africa, smallholder farming systems are predominately maize-based and subject to erratic climatic conditions. Farmer crop and soil management decisions are influenced by a plethora of complex factors such as market access resource availability, social relations, environment, and various messages on sustainable farming practices. Such factors pose barriers to increasing sustainable intensification in Africa. This paper characterizes smallholder farming practices in Central Malawi, at Africa Research in Sustainable Intensification for the Next Generation (Africa RISING) project sites. We present findings from a survey of 324 farmers, located within four Africa RISING sites selected in a stratified random manner to represent (1) low agricultural potential (high evapotranspiration, variable rainfall), (2) medium agricultural potential (two sites), and (3) high agricultural potential (well-distributed rainfall). Soil fertility was low overall, and certain farming practices appeared to limit the sustainability of agricultural production. Nearly half of farmers did not value legume residues as a high nutrient value resource for soil amelioration, as legume residues were removed (17.9%) or burned (21.4%). Conversely, maize residues were rarely removed (4.5%) or burned (10.4%). We found that farmers do not allocate soil amendment resources to legume fields (zero instances of mineral fertilizer or manure application to legumes compared to 88 and 22% of maize systems, respectively). Policy makers in Malawi have led initiatives to intensify agricultural systems through subsidizing farmer access to mineral fertilizer as well as maize hybrid seed, and only rarely to improved legume seed. In this survey, farmers allocate mineral fertilizer to maize systems and not legume systems. There is urgent need to invest in education on sustainable reinvestment in natural resources through complementary practices, such as maximization of biological nitrogen fixation through improved legume agronomy and better organic resource and crop residue management. Recent efforts by Malawi agricultural services to promote doubled-up legumes as a sustainable intensification technology are encouraging, but benefits will not accrue unless equal attention is given to an extension campaign on management of organic resources such as crop residues. [ABSTRACT FROM AUTHOR]

The ability of smallholder farmers to utilise seasonal climate forecast (SCF) information in farm planning to reflect anticipated climate is a precursor to improved farm management. However, the integration of SCF by smallholder farmers into farm planning has been poor, partly because of the lack of forecast skill, lack of communication and inability to see the relevance of the SCFs for specific farming decisions. The relevance of seasonal climate forecasting in farming decisions can be enhanced through improved understanding of SCF from the smallholder farmers’ perspective. Studies that have been done of how smallholder farmers understand SCF and how the available SCFs influence smallholder farmers’ decisions are limited. Therefore, the objective of this paper was to review how smallholder farmers make decisions on farming practices based on SCFs and the challenges and opportunities thereof. The review shows that the majority of smallholder farmers in Africa make use of either scientific or indigenous knowledge climate forecasts and, in some cases, a combination of both. There are mixed results in the area of evaluating benefits of SCFs in decision-making and farm production. In some cases, the outcomes are positive, whereas in others they are difficult to quantify. Thus, the integration of SCFs into smallholder farmers’ decision-making is still a challenge. We recommend that significant work must be done to improve climate forecasts in terms of format, and spatial and temporal context in order for them to be more useful in influencing decision-making by smallholder farmers. [ABSTRACT FROM AUTHOR]

Discusses the papers on agricultural productivity in Africa submitted by Savadago et al., Jayne et al. and S. Block.

Crop production is a major source of food and livelihood for many people in arid and semi-arid (ASA) regions across the world. However, due to irregular climatic events, ASA regions are affected commonly by frequent droughts that can impact food production. In addition, ASA regions in the Middle East and Africa are often characterised by political instability, which can increase population vulnerability to hunger and ill health. Remote sensing (RS) provides a platform to improve the spatial prediction of crop production and food availability, with the potential to positively impact populations. This paper, firstly, describes some of the important characteristics of agriculture in ASA regions that require monitoring to improve their management. Secondly, it demonstrates how freely available RS data can support decision-making through a cost-effective monitoring system that complements traditional approaches for collecting agricultural data. Thirdly, it illustrates the challenges of employing freely available RS data for mapping and monitoring crop area, crop status and forecasting crop yield in these regions. Finally, existing approaches used in these applications are evaluated, and the challenges associated with their use and possible future improvements are discussed. We demonstrate that agricultural activities can be monitored effectively and both crop area and crop yield can be predicted in advance using RS data. We also discuss the future challenges associated with maintaining food security in ASA regions and explore some recent advances in RS that can be used to monitor cropland and forecast crop production and yield. [ABSTRACT FROM AUTHOR]

Bambara groundnut (Vigna subterranea [L.] Verdc.) is a nutritionally rich grain legume crop indigenous to Africa. It is tolerant to drought stress and has become adapted to grow under low input and marginal agricultural production systems in Africa and Asia. Bambara groundnut is an orphan crop, and represents a neglected and under researched plant genetic resource. Modern crop management, production technologies, and value chains are yet to be developed in Africa to achieve the potential economic gains from Bambara groundnut production and marketing. In sub-Saharan Africa (SSA) the production and productivity of Bambara groundnut is low and stagnant because of diverse abiotic and biotic stresses and socio-economic constraints. Improved crop management and post handling technologies, modern varieties with high yield and nutritional quality, value addition, and market access are among the key considerations in current and future Bambara groundnut research and development programs. This paper presents progress on Bambara groundnut production, utilization, and genetic improvement in SSA. It presents the key production constraints, genetic resources and analysis, breeding methods and genetic gains on yield, and nutritional quality and outlook. The information presented will guide the sustainable production and effective breeding of the crop in order to pursue food and nutrition security, and improve livelihoods through Bambara groundnut enterprises. [ABSTRACT FROM AUTHOR]

The continent of Africa has the highest prevalence of hunger and poverty in the world. In this paper, an Environmental Policy Integrated Climate (EPIC) model combined with a Crop Choice Decision Model (CCDM) is applied to simulate the production and spatial distribution of rice, wheat, millet, maize, sorghum and cassava in Africa from 1993 to 2012 converted into calories. From this, we calculate the size of the undernourished population according to the Average Dietary Energy Requirement index of the Food and Agriculture Organization of the United Nations (FAO) and study the trends experienced in different countries. The results show that (1) the distribution of different crops has a horizontal zonality from north to south; (2) although the distribution of different crops in Africa did not change significantly from 1993 to 2012, the total crop planting area declined, especially in the middle part of Africa; (3) the undernourished population has increased, while the proportion of undernourished people decreased; and (4) land tenure reform and international food aid has made a great contribution to improved food security in Africa. A GIS-based EPIC (GEPIC) model combined with a CCDM can enable the spatial explicit assessment of food security and the microscopic study of food security on large scale, providing more accurate decision-making information for policy makers. [ABSTRACT FROM AUTHOR]

While information and communication technologies (ICT) have proven to be useful in boosting agricultural production and productivity, regardless of the geographical location, much of the discussion on ICT and their impact focus on the global north, with deficient literature on the global south. The limited account of the global south shows mixed conclusions on the impact of information and communication technologies on agricultural production, with most studies focusing on crop production, as a proxy for agricultural production, leaving out livestock production. Animated by this concern, this article explores the impact of ICTs on agricultural production (crop and livestock) in Africa using panel data from 32 African countries and the panel autoregressive distributed lag model as the estimation technique. We find that individuals using internet significantly increased crop production in the long run. Specifically, a percentage increase in internet patronage increases crop production by 0.071% but significantly decreases the livestock production index, both in the short and long run. Mobile phone subscriptions had a significant negative impact on crop production in the long run but had a significant positive impact on livestock production in the long run. Fixed phone subscriptions significantly increased crop production in the long run but significantly decreased livestock production index in the long run. The findings show bidirectional causality between crop production and internet patronage, livestock production and individuals using internet, crop production and mobile cellular subscription, crop production and net national income, and rural population and both crop and livestock production. We recommend that governments in Africa increase funding investment in digital technologies to foster increased agricultural production while addressing structural challenges that constrain increased access to digital agricultural technologies. It might be useful if governments in sub-Saharan Africa (SSA) incentivize the telecommunication companies to extend digital coverage to rural areas through tax rebates and holidays to encourage rural inclusion in the digital space to bridge the digital divide. [ABSTRACT FROM AUTHOR]

Earlier research largely ignored the effects of climate change on the growth of agricultural total factor productivity (TFP) in Africa. This study shows how climate inputs impact TFP growth in addition to other productivity growth indicators and metrics, as well as how they can impact overall input efficiency as productivity drivers. We use a panel of 42 African nations from 1999 to 2019 and a nonparametric data envelopment analysis-Malmquist technique. The non-parametric analysis revealed that the average growth rate of the non-climate-induced TFP estimates was 1.9%, while the average growth rate of the climate-induced TFP estimates was 2.4%. Accounting for temperature and precipitation separately, TFP grew by 2.3% on average. This growth rate (2.3%) is slightly less than the combined effect of temperature and precipitation (2.4%) but higher than the typical TFP growth rate (1.9%) that ignores climate variables, indicating that TFP growth in African agriculture risks being underestimated when climate inputs are ignored. We also find the distribution of the climate effects to vary across regions. In northern Africa, for example, the temperature-induced TFP growth rates were negative due to rising temperature in the region. Evidence from the decomposed TFP estimates indicates that climate variables also influence productivity determinants. However, technology improvement is fundamental to mitigating the effects of extreme weather inputs on TFP growth in Africa's agriculture. As a result, a few policy suggestions are provided to help policymakers deal with the effects of climate change on TFP growth in Africa's agriculture and ensure food security. The study advocated for a reevaluation of the climate-agriculture effect in order to fully comprehend the role of climate factors and their contributions to agricultural TFP growth in Africa. [ABSTRACT FROM AUTHOR]

Women empowerment could be the key to unlocking women's productivity potential in Africa. Women's contribution to the agricultural sector is greatly influenced by their health status. This paper examines the impact of women's empowerment in agriculture on women's health and the implications for the African food and agricultural sector. It utilizes a unique dataset from a 2012 survey of 2,405 women in northern Ghana and the Multiple Indicators Multiple Causes modeling approach. Findings provide insight on how gender-sensitive policies and private-public initiatives can translate into better health outcomes for women and improved capacity to meet future needs of food and agriculture in Africa. Initiatives focusing on increasing women's membership in social and economic groups, easing women's access to credit, and increasing women's incomes are some key empowerment strategies for improving women's health status and production capabilities. [ABSTRACT FROM AUTHOR]

Diversified cropping systems, especially those including legumes, have been proposed to enhance food production with reduced inputs and environmental impacts. However, the impact of legume pre-crops on main crop yield and its drivers has never been systematically investigated in a global context. Here, we synthesize 11,768 yield observations from 462 field experiments comparing legume-based and non-legume cropping systems and show that legumes enhanced main crop yield by 20%. These yield advantages decline with increasing N fertilizer rates and crop diversity of the main cropping system. The yield benefits are consistent among main crops (e.g., rice, wheat, maize) and evident across pedo-climatic regions. Moreover, greater yield advantages (32% vs. 7%) are observed in low- vs. high-yielding environments, suggesting legumes increase crop production with low inputs (e.g., in Africa or organic agriculture). In conclusion, our study suggests that legume-based rotations offer a critical pathway for enhancing global crop production, especially when integrated into low-input and low-diversity agricultural systems. Crop rotations including legumes have been proposed as a strategy to enhance food production. Here, the authors conduct a global meta-analysis on legume-based crop rotations, showing that legume pre-crops increase 20% of yield in average across various crops and climatic regions. [ABSTRACT FROM AUTHOR]

The effort to increase agricultural productivity continues to receive interest in Africa as low productivity levels, poverty and food insecurity remain or even increase. This study used the Färe-Primont Index to estimate agricultural total factor productivity growth for 49 African countries. Panel data consisting of 833 observations for the period 2000 to 2016 were obtained from the United State Department of Agriculture Economic Research Service database. The results show that the average growth rate for agriculture in Africa is 0.73% per annum. The sector experienced increased growth after the Maputo Declaration, which was sustained during the global financial crisis. West Africa experienced the largest growth while Southern Africa suffered a substantial decline. The study also discovered that growth differed between countries indicating that customization of the Comprehensive Africa Agriculture Development Programme into regional and country-specific policy interventions is important to boost agricultural productivity. Finally, the growth was achieved through technical change, while efficiency change constrained growth. Policy-makers should increase investment in agricultural extension services, education and training to enhance managerial capacity (efficiency change) because improved managerial capacity could increase agricultural growth and thereby increase food security and alleviate poverty in Africa. [ABSTRACT FROM AUTHOR]

Africa is one of the regions with high mycotoxin contamination of foods and continues to record high incidences of liver cancers globally. The agricultural sector of most African countries depends largely on climate variables for crop production. Production of mycotoxins is climate-sensitive. Most stakeholders in the food production chain in Africa are not aware of the health and economic effects of consuming contaminated foods. The aim of this review is to evaluate the main factors and their degree of contribution to the high levels of mycotoxins in African foods. Thus, knowledge of the contributions of different factors responsible for high levels of these toxins will be a good starting point for the effective mitigation of mycotoxins in Africa. Google Scholar was used to conduct a systemic search. Six factors were found to be linked to high levels of mycotoxins in African foods, in varying degrees. Climate change remains the main driving factor in the production of mycotoxins. The other factors are partly man-made and can be manipulated to become a more profitable or less climate-sensitive response. Awareness of the existence of these mycotoxins and their economic as well as health consequences remains paramount. The degree of management of these factors regarding mycotoxins varies from one region of the world to another. [ABSTRACT FROM AUTHOR]

Improved agricultural management plays a vital role in protecting soils from degradation in eastern Africa. Changing practices such as reducing tillage, fertilizer use, or cover crops are expected to enhance soil organic carbon (SOC) storage, with climate change mitigation co-benefits, while increasing crop production. However, the quantification of cropland management effects on agricultural ecosystems remains inadequate in this region. Here, we explored seven management practices and their potential effects on soil carbon (C) pools, nitrogen (N) losses, and crop yields under different climate scenarios, using the dynamic vegetation model LPJ-GUESS. The model performance is evaluated against observations from two long-term maize field trials in western Kenya and reported estimates from published sources. LPJ-GUESS generally produces soil C stocks and maize productivity comparable with measurements and mostly captures the SOC decline under some management practices that is observed in the field experiments. We found that for large parts of Kenya and Ethiopia, an integrated conservation agriculture practice (no-tillage, residue and manure application, and cover crops) increases SOC levels in the long term (+11 % on average), accompanied by increased crop yields (+22 %) in comparison to the conventional management. Planting nitrogen-fixing cover crops in our simulations is also identified as a promising individual practice in eastern Africa to increase soil C storage (+4 %) and crop production (+18 %), with low environmental cost of N losses (+24 %). These management impacts are also sustained in simulations of three future climate pathways. This study highlights the possibilities of conservation agriculture when targeting long-term environmental sustainability and food security in crop ecosystems, particularly for those with poor soil conditions in tropical climates. [ABSTRACT FROM AUTHOR]

In a warming climate, drought events are projected to increase in many regions across the world, which would have detrimental impacts on water resources for agriculture activity and human life. Thus, projecting drought changes, especially the frequency of future drought events, is very important for the African continent. This study investigates the future changes in drought events based on the France Centre National de Recherches Météorologiques (CNRM-CM6) model in the Coupled Model Intercomparison Project phase six (CMIP6) datasets for four shared socio-economic pathways (SSP): SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5; and three time slices: near future (2020–2039), mid-century (2050–2069), and end-of-century (2080–2099), relative to a historical baseline period (1995–2014). The interannual variability and trends of the self-calibrating Palmer Drought Severity Index (scPDSI) based on the Penman–Monteith methods for measuring potential evapotranspiration (PET) are used to estimate future droughts. The temporal analysis shows that the drought frequency, intensity, and affected area will increase throughout the 21st century. Among the scenarios, SSP3-7.0 and SSP5-8.5 project a larger upward trend in drought characteristics than SSP1-2.6 and SSP2-4.5. The spatial pattern shows drought frequency decreases in humid regions and increases in non-humid regions across Africa. For all SSP scenarios, the projected wetting trend per decade ranges from 0.05 to 0.25, while the drying trend per decade ranges from −0.05 to 0.25. A regional trend analysis revealed key differences in spatial pattern, with varied trend projections of wetter and drier conditions in humid and non-humid regions under all SSP scenarios. Drier conditions are expected to intensify in Southern Africa under all SSP scenarios but are projected to be more intense under either SSP3-7.0 and SSP5-8.5. In general, the projected wetter trends in humid areas may favor agricultural production and ecological conservation, and drier trends in non-humid regions may call for the possible adoption of tailor-made drought adaptation strategies and development programmes to minimize impacts. [ABSTRACT FROM AUTHOR]

Zimbabwe's recent fast-track land reform was redistributive, but it retained significant enclaves of large-scale agro-industrial estates owned by transnational, domestic and state capital, despite unfulfilled popular and domestic elite demands for land. Such estates were encouraged by the state to produce agro-fuel (ethanol from sugar), sugar, tea, coffee, timber and citrus, with wildlife ranching for domestic and export markets, alongside expanded small food producers. This outcome reflects the unresolved contradictions of seeking autonomous development in the context of sanctions, domestic political polarisation and declining agricultural production, while promoting reintegration into broader world markets. Neoliberal policies replaced dirigisme by 2008 to promote stabilisation and agricultural recovery but with limited impact. Foreign agricultural investment in Zimbabwe is nonetheless atypical of the current neoliberal land grabbing in Africa, since Zimbabwe reversed past inequalities and retains some state autonomy, and residual land concentration remains contested. [ABSTRACT FROM AUTHOR]

The article reports on innovation trade and organization literature to highlight the business-competitive approaches as an integral part of the reform explanation, which is required to stimulate African agricultural productivity and development. It focuses on three principles such as the value innovation, the lead user focus, and the organizational value logic.

This article focuses on the water aspects of African agriculture, noting the Commission for Africa's emphasis on investments for irrigation infrastructure. A brief overview of the current situation in agriculture and the linkages with food security sets the scene for the exploration of solutions to the challenges of how to increase productivity. The potential of different technologies are reviewed, ranging from cheap "bucket and drip kits" for improving irrigation, to sophisticated genetic engineering to make plants need less water. The statement is made that a "blue revolution" should not overemphasise irrigation expansion, as issues such as timing and reliability of supply tend to be more important. In addition, it is crucial that attention is paid to the institutional framework governing water resources, acknowledging their complexity and dynamism, as well as involving stakeholders in decision-making in order to overcome historical legacies of unequal access and control. [ABSTRACT FROM AUTHOR]

Climate change constitutes a rising challenge to the agricultural base of developing countries. Most of the literature has focused on the impact of changes in the means of weather variables on mean changes in production and has found very little impact of weather upon agricultural production. Instead, we focus on the relationship between extreme events in weather and extreme losses in crop production. Indeed, extreme events are of the greatest interest for scholars and policy makers only when they carry extraordinary negative effects. We build on this idea and for the first time, we adopt a conditional dependence model for multivariate extreme values to understand the impact of extreme weather on agricultural production. Specifically, we look at the probability that an extreme event drastically reduces the harvest of any of the major crops. This analysis, which is run on data for six different crops and four different weather variables in a vast array of countries in Africa, Asia and Latin America, shows that extremes in weather and yield losses of major staples are associated events. We find a high heterogeneity across both countries and crops and we are able to predict per country and per crop the risk of a yield reduction above 90% when extreme events occur. As policy implication, we can thus assess which major crop in each country is less resilient to climate shocks. [ABSTRACT FROM AUTHOR]

Social protection is increasingly becoming a powerful tool for enhancing productivity and employment and is, therefore, important for Africa’s agricultural transformation. Thus, this study aims at examining how Africa’s agricultural sector can be transformed through social protection policies and programmes for employment. It applies the Feasible Generalised Least Squares (FGLS) econometric method on a panel of 38 African countries with the data sourced from the Country Policy and Institutional Assessment (CPIA) and World Development Indicators (WDI) for the period 2005–2017. The results from the study show that social protection has a positive impact on employment outcomes through various channels such as building human resource, equity in the use of public resources, social inclusion, among others. The study concludes by recommending that the governments of African countries should implement effective social protection programmes and policies in the agricultural sector in form of insurance, in-kind and cash support, among others to make farming attractive, thereby increasing employment and productivity. [ABSTRACT FROM AUTHOR]

Okra (Abelmoschus esculentus), a fruit vegetable consumed in several countries, especially in Africa, contributes to the fight against poverty and malnutrition due to its nutritional value. However, in Burkina Faso, its cultivation during the dry season that lasts about 9 months remains dependent on the availability of water resources. Thus, during this period that lasts about 9 months, because of this situation, okra producers are dealing with very diversified sources of water. However, the rehydration of seeds, which is the first step towards germination, depends mainly of the water. Therefore, the aim of the present study was to test the germinability of okra seeds under different irrigation waters in order to propose alternative sources. Thus, seeds of three ecotypes of okra (B2, G259, and L2) were germinated using five water types (dam water, wastewater from the sewage treatment plant (WTP), well water, dishwashing greywater, and distilled water). The results showed a significant influence of the water type on the germination velocity and the growth speed of the radicle. Indeed, using wastewater from the WTP, the germination velocity was very significantly lower than those obtained with the other sources (P<0.0001). Furthermore, seeds irrigated with WTP wastewater germinated less than other water types. Nevertheless, the germination rate obtained with dishwashing greywater (86.93 ± 0.14%), which is not used generally in agricultural production, is comparable to the rates obtained with other water types. Furthermore, the study showed a significant effect of the ecotype on the germination rate (P≤0.001). In addition, dam water significantly enhanced root growth compared to WTP (P<0.0001). In view of the results and because of water scarcity in Sahelian regions, dishwashing greywater, which is generally discarded, could be collected and used for the germination of okra. [ABSTRACT FROM AUTHOR]

Although rice has been a prominent cash crop in areas with access to lowland in Uganda, the adoption of rice and area expansion have stagnated despite the Government of Uganda’s 2009 National Rice Development Policy and its commitment to doubling rice production over 10 years. Using panel data collected in 2010 and 2017 as well as risk preference data elicited via lab-in-the-field experiments conducted in rural Uganda, we find that farmers with higher loss aversion are less likely to grow rice and expand their rice cultivation areas. This study affirms that risk preferences play a critical role in agricultural production decisions. [ABSTRACT FROM AUTHOR]

During the 1980s, many development partners in Africa were preoccupied by the application of research results to agricultural development. In Burkina Faso, this awareness led to set structures and mechanisms for the promotion of research results. From the synthesis of critical analyses of the valorization system, it appears that the valorization concept is polysemous. In addition, there has been strong evolution in the mechanisms for promoting research results, development has also been hampered by certain shortcomings. Thus we propose, as a main track for a successful valorization policy, the creation of start-ups constituted of young professionals who possess skills that are specific and complementary. Young university-educated professionals are equipped to understand the new technologies of production and agricultural transformation. With an effective management plan the start-ups they represent could foster an effective application of research results, to improve food security and enhance the competitiveness of Burkina's agricultural products on international markets. [ABSTRACT FROM AUTHOR]

An extensive body of theoretical work has advocated the use of multiple human wellbeing indicators to assess the outcomes of agricultural investments in Sub-Sahara Africa (SSA). However, few studies have actually achieved it. This study investigates the human wellbeing outcomes of involvement in industrial crop production in Ghana by comparing the levels of different objective and subjective wellbeing measures for groups involved in industrial crop production as plantation workers and smallholders, and groups not involved (i.e. control groups). We use household income, adult consumption and the multidimensional poverty index (MPI) as indicators of objective wellbeing. We measure subjective wellbeing through self-reported levels of satisfaction with life, worthwhileness, happiness and anxiousness. Propensity Score Matching (PSM) analysis is used to assess whether involvement in industrial crop production increases household income and consumption. Overall, for most indicators of objective wellbeing industrial crop outgrowers, smallholders and independent smallholders are better off compared to other groups in their respective sites (in terms of mean scores), but involvement does not necessarily brings human wellbeing benefits (PSM analysis). On the other hand plantation workers are either worse off or have similar level of objective human wellbeing with control groups in their respective sites (in terms of mean scores), but involvement sometimes brings human wellbeing benefits (PSM analysis). However, workers tend to benefit from access to plantation infrastructure, which has a positive effect to their multi-dimensional poverty. In most cases the objective wellbeing measures do not correlate well with self-reported levels of subjective wellbeing. It is important to combine such indicators when evaluating the human wellbeing outcomes of agricultural investments in order to obtain a more comprehensive outlook of whether industrial crop production can become a valuable rural development strategy in SSA. [ABSTRACT FROM AUTHOR]

Agriculture has played a central role in Africa's long‐term economic development. Previous research has argued that the low productivity of African economies has posed significant challenges to African efforts to produce an agricultural surplus or to develop commercial agriculture. Low agricultural productivity has also served as a key explanation for the transatlantic slave trade, on the basis that it was more profitable to export humans overseas than to grow and export produce. However, the field has suffered from a lack of comparable empirical evidence. This article contributes to this field by presenting quantitative data on historical land and labour productivity in Africa, from a case study of the agricultural productivity of Senegambia in the early nineteenth century. Focusing on five key crops, our results suggest that both land and labour productivity was lower in Senegambia than it was in all other parts of the world for which we have found comparable data. This article thus lends support to claims that stress ecological factors as one of the main determinants of Africa's historical development. [ABSTRACT FROM AUTHOR]

Background. Invasive species are a growing threat to food biosecurity and cause significant economic losses in agricultural systems. Despite their damaging effect, they are attractive models for the study of evolution and adaptation in newly colonised environments. The Mediterranean fruit fly, Ceratitis capitata, as a member of the family Tephritidae, is one of the most studied invasive species feeding on many fruit crops in the tropics and subtropics worldwide. This study aims to determine the global macrogeographic population structure of Ceratitis capitata and reconstruct its potential migration routes. Method. A partial mitochondrial cytochrome oxidase I gene from >400 individual medflies and 14 populations from four continents was sequenced and subjected to Bayesian demographic modelling. Results. The Afrotropical populations (Kenya, South Africa and Ghana) harbour the majority of haplotypes detected, which also are highly divergent, in accordance with the presumed ancestral range of medflies in Sub-Saharan Africa. All other populations in the presumed non-native areas were dominated by a single haplotype also present in South Africa, in addition to a few, closely related haplotypes unique to a single local population or regional set, but missing from Africa. Bayesian coalescence methods revealed recent migration pathways from Africa to all continents, in addition to limited bidirectional migration among many local and intercontinental routes. Conclusion. The detailed investigation of the recent migration history highlights the interconnectedness of affected crop production regions worldwide and pinpoints the routes and potential source areas requiring more specific quarantine measures. [ABSTRACT FROM AUTHOR]

Enhancing rice yield in upland rice systems through genetic improvement remains a major challenge in the tropics. This review aims to provide the trends on upland rice cultivation over the last 30 years and recent distribution of upland rice in the tropics, and to report progress in studies on genetic improvement for enhancing productivity in Africa, Asia, and Latin America. While upland rice cultivation area has reduced in Asia and Latin America over the last 30 years, the area in Africa has increased. The current share of upland rice area in total rice area is related to rainfall and gross national income per capita, especially in Africa, and higher share is associated with lower rice selfsufficiency at national level. Breeding programs in Asia and Latin America have developed highyielding varieties using indica materials as parents. In Africa, New Rice for Africa (NERICA) varieties were developed from crosses between improved tropical japonica and Oryza glaberrima. However, recent studies report that there is scope for improving existing NERICA using upland indica materials from Asia. In highlands of Africa, there are ongoing breeding programs using japonica varieties, such as the Nepalese Chhomrong Dhan. Key important plant traits used in the breeding programs are not largely different across regions, especially intermediate plant height and tillering capacity (which may be related to weed-suppressive ability), and high harvest index. In conclusion, we propose an international network for breeding upland rice with accelerating seed exchange across regions that could enhance upland rice productivity through genetic improvement. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Agricultural Sciences, Belgrade is the property of University of Belgrade, Faculty of Agriculture and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Few field studies examine greenhouse gas (GHG) emissions from African agricultural systems, resulting in high uncertainty for national inventories. This lack of data is particularly noticeable in smallholder farms in sub-Saharan Africa, where low inputs are often correlated with low yields, often resulting in food insecurity as well. We provide the most comprehensive study in Africa to date, examining annual soil CO2, CH4 and N2O emissions from 59 smallholder plots across different vegetation types, field types and land classes in western Kenya. The study area consists of a lowland area (approximately 1200 ma.s.l.) rising approximately 600 m to a highland plateau. Cumulative annual fluxes ranged from 2.8 to 15.0 Mg CO2-C ha-1, -6.0 to 2.4 kg CH4-C ha-1 and -0.1 to 1.8 kg N2O-N ha-1. Management intensity of the plots did not result in differences in annual GHG fluxes measured (P = 0.46, 0.14 and 0.67 for CO2, CH4 and N2O respectively). The similar emissions were likely related to low fertilizer input rates (≤ 20 kg N ha-1). Grazing plots had the highest CO2 fluxes (P = 0.005), treed plots (plantations) were a larger CH4 sink than grazing plots (P = 0.05), while soil N2O emissions were similar across vegetation types (P = 0.59). This study is likely representative for low fertilizer input, smallholder systems across sub-Saharan Africa, providing critical data for estimating regional or continental GHG inventories. Low crop yields, likely due to low fertilization inputs, resulted in high (up to 67 g N2O-N kg-1 aboveground N uptake) yield-scaled emissions. Improvement of crop production through better water and nutrient management might therefore be an important tool in increasing food security in the region while reducing the climate footprint per unit of food produced. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Agricultural Sciences, Belgrade is the property of University of Belgrade, Faculty of Agriculture and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Constraints and challenges in the agricultural industry of Ghana limit its productivity. Policy constraints could be a major issue when it comes to agricultural sustainability. Whether policymaking is based on sound principles that take into account the intended and unintended consequences led to exploring the use of a fresh approach towards determining effective interventions (policies) through a systems approach. Capacity building using a systems thinking approach that focuses on the four levels of thinking and using the concepts of an Evolutionary Learning Laboratory during a series of stakeholder workshops in Ghana has shown a remarkable impact on the ability of the agricultural industry to evolve, improve and raise its efficacy. Results from Bayesian belief network (BBN) models indicated that the implementation of systemically determined interventions, policies and strategies could result in chances of 'agricultural productivity' being 'good' as high as 92.2% from 57.5%, while the chances of reducing poverty levels from 44.9% to 10.0% are plausible. These would also lead to a significant increase in the yield and profit of the farmers. These BBNs are used for scenario testing to determine the potential outcomes of different systemic interventions by observing what would happen to the system as a whole when a particular intervention/strategy or combination of interventions/strategies are implemented: that is, before any time or money is invested in actual implementation. This approach provides more clarity on dealing with complex sustainability challenges and should gradually replace the reductionist approach (e.g. short-term quick fixes and treating the symptoms) in dealing with challenges and developing policies. Copyright © 2015 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]

Soil and water management is particularly relevant in semi-arid regions to enhance agricultural productivity. During periods of water scarcity, soil moisture differences are important indicators of the soil water deficit and are traditionally used for allocating water resources among farmers of a village community. Here we present a simple, inexpensive soil wetness classification scheme based on qualitative indicators which one can see or touch on the soil surface. It incorporates the local farmers' knowledge on the best soil moisture conditions for seeding and brick making in the semi-arid environment of the study site near Arusha, Tanzania. The scheme was tested twice in 2014 with farmers, students and experts (April: 40 persons, June: 25 persons) for inter-rater reliability, bias of individuals and functional relation between qualitative and quantitative soil moisture values. During the test in April farmers assigned the same wetness class in 46 % of all cases, while students and experts agreed on about 60% of all cases. Students who had been trained in how to apply the method gained higher inter-rater reliability than their colleagues with only a basic introduction. When repeating the test in June, participants were given improved instructions, organized in small subgroups, which resulted in a higher inter-rater reliability among farmers. In 66 % of all classifications, farmers assigned the same wetness class and the spread of class assignments was smaller. This study demonstrates that a wetness classification scheme based on qualitative indicators is a robust tool and can be applied successfully regardless of experience in crop growing and education level when an in-depth introduction and training is provided. The use of a simple and clear layout of the assessment form is important for reliable wetness class assignments. [ABSTRACT FROM AUTHOR]

Whether the negative relationship between farm size and crop productivity that is confirmed in a large global literature holds in Africa is of considerable policy relevance. Plot-level data from Rwanda point toward constant returns to scale and a strong negative relationship between farm size and crop output per hectare that is robust across specifications and emerges also if profits with family labor valued at shadow wages are used but disappears if family labor is valued at market rates. In Rwanda, labor market imperfections, rather than other unobserved factors, seem to be a key reason for the inverse farm-size productivity relationship. [ABSTRACT FROM AUTHOR]

Harnessing women's potential for food production and food security has been a challenge in Southern Africa. The face of food production in Southern Africa is often female, but more often than not, their roles are generally undervalued and constrained by gender inequalities and limitations on their access to resources, services, and market opportunities. There is a tendency of men and women participating unevenly in food production, having unequal access to productive resources and exhibiting different levels of engagement in rural, urban and home-based food production. Despite of this, there is still a common understanding that food production needs to be increased in order to cope with the increased human population levels and achieving food security in the region. With this in mind, food production and security have emerged as key development targets in Southern Africa. This has propelled the urgent need for promoting food production, reducing food insecurity and poverty reduction in its totality. This essay attempts to describe the impact of gender-based discrimination on food production and its implication on food security. The indispensable role and challenges faced by women in food production are highlighted. The need to invest in education and training of women to support food production systems in order to accrue maximum benefit is acknowledged. In this regard, this essay concludes that it is imperative that planning and implementation of any food production programs focusing on improving food security should be based on gender sensitive policies. [ABSTRACT FROM AUTHOR]

As an essential macroelement for all living cells, phosphorus is indispensable in agricultural production systems. Natural phosphorus reserves are limited, and it is therefore important to develop phosphorus-efficient crops. A major quantitative trait locus for phosphorus-deficiency tolerance, Pup1, was identified in the traditional aus-type rice variety Kasalath about a decade ago. However, its functional mechanism remained elusive until the locus was sequenced, showing the presence of a Pup1-specific protein kinase gene, which we have named phosphorus-starvation tolerance 1 (PSTOL1). This gene is absent from the rice reference genome and other phosphorus-starvation-intolerant modern varieties. Here we show that overexpression of PSTOL1 in such varieties significantly enhances grain yield in phosphorus-deficient soil. Further analyses show that PSTOL1 acts as an enhancer of early root growth, thereby enabling plants to acquire more phosphorus and other nutrients. The absence of PSTOL1 and other genes-for example, the submergence-tolerance gene SUB1A-from modern rice varieties underlines the importance of conserving and exploring traditional germplasm. Introgression of this quantitative trait locus into locally adapted rice varieties in Asia and Africa is expected to considerably enhance productivity under low phosphorus conditions. [ABSTRACT FROM AUTHOR]

Thirty years ago, a vast share of low- and middle-income countries was heavily state controlled. The liberalizations of the 1980s and 1990s had greatly different effects on growth in countries in Africa, Asia, and Europe. A comparative framework is used to document these differences, and a model is developed to formally analyze how liberalization affects production and income distribution when the institutions that govern production and exchange are also affected. Hypotheses are derived for how endogenous institutional adjustments affect the growth response to liberalization. These insights motivate a series of explanations for the differences in performance across regions and commodities following liberalization. [ABSTRACT FROM PUBLISHER]

The article offers information on the impact of economic crisis on the nutrition security in Africa. The author mentions that the dire economic climate has reduced the country' export demand, foreign investment, commodity prices and inflows, resulting to the decline of trade and household income. He adds that global recession has also exacerbated the working and living conditions of the people. To address the problem, he believes the need of imposing an effective social protection policies for the urban poor, increasing agricultural productivity of small and large scale farmers, and investing in human capital development.