scholarly journals The Future of Low-emission Sustainable Cereal Intensification in SSA

2021 ◽  
Author(s):  
Kindie Tesfaye ◽  
Marloes van Loon ◽  
Hein ten Berge ◽  
Renske Hijbeek ◽  
Dawit Solomon ◽  
...  

This brief summarizes results of three recent studies that assessed whether Sub Saharan Africa (SSA) can be self-sufficient in cereals (maize, rice, wheat, sorghum, and millet) while minimizing GHG emission by 2050 under different scenarios of intensification on existing cereal area, as opposed to crop land area expansion. The results from three studies suggest that intensification of cereal production with sufficient and efficient use of fertilizers could lead to the lowest GHG emissions among the scenarios studied in future cereal productions in SSA. However, this requires excellent agronomy, including the use of well-adapted cultivars, proper planting densities, good nutrient management and crop protection against weeds, pests, and diseases. It should also be noted that intensification of cereal production may also have additional benefits, including improving the economic profitability for smallholders in SSA.

Plants ◽  
2021 ◽  
Vol 10 (5) ◽  
pp. 896
Author(s):  
Pierre J. Silvie ◽  
Pierre Martin ◽  
Marianne Huchard ◽  
Priscilla Keip ◽  
Alain Gutierrez ◽  
...  

Replacing synthetic pesticides and antimicrobials with plant-based extracts is a current alternative adopted by traditional and family farmers and many organic farming pioneers. A range of natural extracts are already being marketed for agricultural use, but many other plants are prepared and used empirically. A further range of plant species that could be effective in protecting different crops against pests and diseases in Africa could be culled from the large volume of knowledge available in the scientific literature. To meet this challenge, data on plant uses have been compiled in a knowledge base and a software prototype was developed to navigate this trove of information. The present paper introduces this so-called Knomana Knowledge-Based System, while providing outputs related to Spodoptera frugiperda and Tuta absoluta, two invasive insect species in Africa. In early October 2020, the knowledge base hosted data obtained from 342 documents. From these articles, 11,816 uses—experimental or applied by farmers—were identified in the plant health field. In total, 384 crop pest species are currently reported in the knowledge base, in addition to 1547 botanical species used for crop protection. Future prospects for applying this interdisciplinary output to applications under the One Health approach are presented.


2021 ◽  
Vol 13 (17) ◽  
pp. 9708
Author(s):  
Fernando Antonanzas-Torres ◽  
Javier Antonanzas ◽  
Julio Blanco-Fernandez

Solar home systems (SHS) represent one of the most promising technologies for a rapid and independent electrification in those areas of Sub-Saharan Africa (SSA) without access to electricity. This study addressed the environmental impact of SHS in SSA through updated life cycle inventories and five impact categories: greenhouse gases (GHG) emissions, fossil fuels, metal and water depletion and human toxicity. Sixteen scenarios were considered, including manufacturing, transportation, recycling and user-related variables, such as the installation site, adequacy of SHS user operation and battery lifespan. The results showed that lead-acid batteries were the largest contributor to environmental impact among the SHS components, accounting for up to 36–76% of the environmental impact indicators. Apart from the components, user training for SHS operation, with the goal of maximizing usable energy and battery lifetime, proved to be critical to achieve improvements in the energy payback time and GHG emissions, which (under scenarios of high solar resources) can reach the range of 5.3–7.1 years and 0.14–0.18 kgCO2 eq/kWh, respectively. In addition, SHS GHG emission factors were benchmarked with those of other electrification approaches, such as national grids, 100% PV and hybrid PV-diesel off-grid mini grids and off-grid diesel generators. SHS achieved GHG emission factor values equivalent to PV-based mini grids in most scenarios and was strikingly lower compared to SSA national grids and diesel generators.


2015 ◽  
Vol 12 (19) ◽  
pp. 16479-16526 ◽  
Author(s):  
D.-G. Kim ◽  
A. D. Thomas ◽  
D. Pelster ◽  
T. S. Rosenstock ◽  
A. Sanz-Cobena

Abstract. This paper summarizes currently available data on greenhouse gas (GHG) emissions from African natural and agricultural lands, outlines the knowledge gaps and suggests future directions and strategies for GHG emission studies. GHG emission data were collected from 73 studies conducted in 22 countries in sub-Saharan Africa (SSA). Soil GHG emissions from African natural terrestrial systems ranged from 3.3 to 57.0 Mg carbon dioxide (CO2) ha−1 yr−1, −4.8 to 3.5 kg methane (CH4) ha−1 yr−1 and −0.1 to 13.7 kg nitrous oxide (N2O) ha−1 yr−1. Soil physical and chemical properties, rewetting, vegetation type, forest management and land-use changes were all found to be important factors affecting soil GHG emissions. Greenhouse gas emissions from African aquatic systems ranged from 5.7 to 232.0 Mg CO2 ha−1 yr−1, −26.3 to 2741.9 kg CH4 ha−1 yr−1 and 0.2 to 3.5 kg N2O ha−1 yr−1 and were strongly affected by discharge. Soil GHG emissions from African croplands ranged from 1.7 to 141.2 Mg CO2 ha−1 yr−1, −1.3 to 66.7 kg CH4 ha−1 yr−1and 0.05 to 112.0 kg N2O ha−1 yr−1 and the N2O emission factor (EF) ranged from 0.01 to 4.1 %. Incorporation of crop residues or manure with inorganic fertilizers resulted in significant changes in GHG emissions but these were different for CO2 and N2O. Soil GHG emissions in vegetable gardens ranged from 73.3 to 132.0 Mg CO2 ha−1 yr−1 and 53.4 to 177.6 kg N2O ha−1 yr−1 and N2O EFs ranged from 3 to 4 %. Soil CO2 and N2O emissions from agroforestry were 38.6 Mg CO2 ha−1 yr−1 and 0.2 to 26.7 kg N2O ha−1 yr−1, respectively. Improving fallow with nitrogen (N)-fixing trees increased CO2 and N2O emissions compared to conventional croplands and type and quality of plant residue is likely to be an important control factor affecting N2O emissions. Throughout agricultural lands, N2O emissions slowly increased with N inputs below 150 kg N ha−1 yr−1 and increased exponentially with N application rates up to 300 kg N ha−1 yr−1. The lowest yield-scaled N2O emissions were reported with N application rates ranging between 100 and 150 kg N ha−1. Overall, total CO2 equivalent (eq) emissions from African natural and agricultural lands were 56.9 ± 12.7 Pg CO2 eq yr−1 and natural and agricultural lands contributed 76.3 and 23.7 %, respectively. Additional GHG emission measurements throughout Africa agricultural and natural lands are urgently required to reduce uncertainty on annual GHG emissions from the different land uses and identify major control factors and mitigation options on emissions. There is also a need to develop a common strategy for addressing this data gap that may involve identifying priorities for data acquisition, utilizing appropriate technologies, and establishing networks and collaboration.


2016 ◽  
Vol 13 (16) ◽  
pp. 4789-4809 ◽  
Author(s):  
Dong-Gill Kim ◽  
Andrew D. Thomas ◽  
David Pelster ◽  
Todd S. Rosenstock ◽  
Alberto Sanz-Cobena

Abstract. This paper summarizes currently available data on greenhouse gas (GHG) emissions from African natural ecosystems and agricultural lands. The available data are used to synthesize current understanding of the drivers of change in GHG emissions, outline the knowledge gaps, and suggest future directions and strategies for GHG emission research. GHG emission data were collected from 75 studies conducted in 22 countries (n =  244) in sub-Saharan Africa (SSA). Carbon dioxide (CO2) emissions were by far the largest contributor to GHG emissions and global warming potential (GWP) in SSA natural terrestrial systems. CO2 emissions ranged from 3.3 to 57.0 Mg CO2 ha−1 yr−1, methane (CH4) emissions ranged from −4.8 to 3.5 kg ha−1 yr−1 (−0.16 to 0.12 Mg CO2 equivalent (eq.) ha−1 yr−1), and nitrous oxide (N2O) emissions ranged from −0.1 to 13.7 kg ha−1 yr−1 (−0.03 to 4.1 Mg CO2 eq. ha−1 yr−1). Soil physical and chemical properties, rewetting, vegetation type, forest management, and land-use changes were all found to be important factors affecting soil GHG emissions from natural terrestrial systems. In aquatic systems, CO2 was the largest contributor to total GHG emissions, ranging from 5.7 to 232.0 Mg CO2 ha−1 yr−1, followed by −26.3 to 2741.9 kg CH4 ha−1 yr−1 (−0.89 to 93.2 Mg CO2 eq. ha−1 yr−1) and 0.2 to 3.5 kg N2O ha−1 yr−1 (0.06 to 1.0 Mg CO2 eq. ha−1 yr−1). Rates of all GHG emissions from aquatic systems were affected by type, location, hydrological characteristics, and water quality. In croplands, soil GHG emissions were also dominated by CO2, ranging from 1.7 to 141.2 Mg CO2 ha−1 yr−1, with −1.3 to 66.7 kg CH4 ha−1 yr−1 (−0.04 to 2.3 Mg CO2 eq. ha−1 yr−1) and 0.05 to 112.0 kg N2O ha−1 yr−1 (0.015 to 33.4 Mg CO2 eq. ha−1 yr−1). N2O emission factors (EFs) ranged from 0.01 to 4.1 %. Incorporation of crop residues or manure with inorganic fertilizers invariably resulted in significant changes in GHG emissions, but results were inconsistent as the magnitude and direction of changes were differed by gas. Soil GHG emissions from vegetable gardens ranged from 73.3 to 132.0 Mg CO2 ha−1 yr−1 and 53.4 to 177.6 kg N2O ha−1 yr−1 (15.9 to 52.9 Mg CO2 eq. ha−1 yr−1) and N2O EFs ranged from 3 to 4 %. Soil CO2 and N2O emissions from agroforestry were 38.6 Mg CO2 ha−1 yr−1 and 0.2 to 26.7 kg N2O ha−1 yr−1 (0.06 to 8.0 Mg CO2 eq. ha−1 yr−1), respectively. Improving fallow with nitrogen (N)-fixing trees led to increased CO2 and N2O emissions compared to conventional croplands. The type and quality of plant residue in the fallow is an important control on how CO2 and N2O emissions are affected. Throughout agricultural lands, N2O emissions slowly increased with N inputs below 150 kg N ha−1 yr−1 and increased exponentially with N application rates up to 300 kg N ha−1 yr−1. The lowest yield-scaled N2O emissions were reported with N application rates ranging between 100 and 150 kg N ha−1. Overall, total CO2 eq. emissions from SSA natural ecosystems and agricultural lands were 56.9 ± 12.7  ×  109 Mg CO2 eq. yr−1 with natural ecosystems and agricultural lands contributing 76.3 and 23.7 %, respectively. Additional GHG emission measurements are urgently required to reduce uncertainty on annual GHG emissions from the different land uses and identify major control factors and mitigation options for low-emission development. A common strategy for addressing this data gap may include identifying priorities for data acquisition, utilizing appropriate technologies, and involving international networks and collaboration.


2017 ◽  
Vol 2 (1) ◽  
Author(s):  
Abebe Chindi ◽  
Egata Shunka ◽  
Atsede Solomon ◽  
W. Giorgis Gebremedhin ◽  
Ebrahim Seid ◽  
...  

AbstractQuality seed is one of the major bottlenecks hampering the production and productivity of potato not only in Ethiopia but also in Sub-Saharan Africa. Since the 1970’s, the Ethiopian Institute of Agricultural Research has generated a number of improved potato production technologies such as improved varieties with accompanying agronomic practices, crop protection measures, postharvest handling techniques and utilization options. The developed technologies were promoted from 2013-2015 via technology promotion and popularization to the Wolmera, Adea-Bera and Ejere districts with the objective of creating awareness and up scaling of improved potato production and utilization technologies. The Potato Improvement Research Program and the Research and Extension Division of Holetta Research Center in collaboration with extension staff of the Ministry of Agriculture (MoA) undertake this activity. The farmers were selected and organized in Farmer Field Schools and all stakeholders were engaged before distributing potato seeds and planting on selected farmers’ fields for demonstrating of potato production technologies. A total of 899 farmers and 40 agricultural experts were trained and 27.7, 9 and 5.5 tons of quality seeds of Gudanie, Jalenie and Belete potato varieties, respectively, were delivered as a revolving seed with their recommended agronomic packages; this amount of seed covered 21.1 ha. A total of 16 farmer groups from Wolmera, 7 from Adea-Berga, and 11 from Ejere participated. They produced over 434 tons of relatively clean seed and constructed 8 diffused light stores. In addition to the demonstration of improved potato varieties, information dissemination was also an important component of the program to raise awareness for a large numbers of potato growers through farmers’ field days, pamphlets, and mass media. Each year about three field days were organized and more than 1500 pamphlets were distributed to farmers invited from neighboring districts and ‘Kebeles’ to enhance speed. Through this intervention farmers are now harvesting a yield of about 26-34 t/ha up from 8t/ha when they were using inferior quality potato seed; this has made the farmers in the intervention area more food secure especially during the usually food scarce months of August to October when cereal crops are generally yet to mature. The farmers are also getting additional income from the sale of excess potato and are able to better meet other necessary costs like school fees, for their children.


Agriculture ◽  
2020 ◽  
Vol 10 (11) ◽  
pp. 515
Author(s):  
Henri E. Z. Tonnang ◽  
Ritter A. Guimapi ◽  
Anani Y. Bruce ◽  
Dan Makumbi ◽  
Bester T. Mudereri ◽  
...  

Understanding the detailed timing of crop phenology and their variability enhances grain yield and quality by providing precise scheduling of irrigation, fertilization, and crop protection mechanisms. Advances in information and communication technology (ICT) provide a unique opportunity to develop agriculture-related tools that enhance wall-to-wall upscaling of data outputs from point-location data to wide-area spatial scales. Because of the heterogeneity of the worldwide agro-ecological zones where crops are cultivated, it is unproductive to perform plant phenology research without providing means to upscale results to landscape-level while safeguarding field-scale relevance. This paper presents an advanced, reproducible, and open-source software for plant phenology prediction and mapping (PPMaP) that inputs data obtained from multi-location field experiments to derive models for any crop variety. This information can then be applied consecutively at a localized grid within a spatial framework to produce plant phenology predictions at the landscape level. This software runs on the ‘Windows’ platform and supports the development of process-oriented and temperature-driven plant phenology models by intuitively and interactively leading the user through a step-by-step progression to the production of spatial maps for any region of interest in sub-Saharan Africa. Maize (Zea mays L.) was used to demonstrate the robustness, versatility, and high computing efficiency of the resulting modeling outputs of the PPMaP. The framework was implemented in R, providing a flexible and easy-to-use GUI interface. Since this allows for appropriate scaling to the larger spatial domain, the software can effectively be used to determine the spatially explicit length of growing period (LGP) of any variety.


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