A three-year trial was conducted on a degraded soil in the moist Guinea savanna of northern Nigeria to assess the possibility of improving productivity and economic viability of maize-based systems by incorporating short-season legumes and green manure crops into the cropping pattern. Treatments included double cropping legume-maize systems, full-season sole maize receiving various amounts of nitrogen, green manure crop mucuna (Mucuna pruriens var. utilis) followed by sole maize and a legume-maize system receiving additional rice mill waste. In comparison with full-season maize, the use of early-season cowpea followed by maize improved productivity as well as economic returns of the cropping system, while the use of mucuna, grown as an early-season crop or full-season crop, resulted in poor overall productivity of the system. The addition of rice mill waste as a soil amendment in cowpea\uffe2\uff80\uff93maize systems stimulated maize yields and rice mill waste can form a cheap source of organic inputs for farmers living nearby rice mills. Given the limited growing season of the northern Guinea savanna, it is concluded that timing of field operations is crucial for the successful application of double cropping systems. In addition, high labour requirements are a serious constraint for wide-scale adoption of double cropping systems by small-scale farmers, stressing the need to reduce soil cultivation operations, for example by maintaining a uniform ridge distance for all crops in the rotation.
", "keywords": ["2. Zero hunger", "0401 agriculture", " forestry", " and fisheries", "green manures", "04 agricultural and veterinary sciences", "cropping patterns", "15. Life on land", "maize", "cowpeas", "nigeria"], "contacts": [{"organization": "Franke, A., Schulz, S., Oyewole, B., Bako, S.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1017/s001447970400211x"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Experimental%20Agriculture", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1017/s001447970400211x", "name": "item", "description": "10.1017/s001447970400211x", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1017/s001447970400211x"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2004-10-01T00:00:00Z"}}, {"id": "10.1017/s0014479708006443", "type": "Feature", "geometry": null, "properties": {"license": "Restricted", "updated": "2026-07-28T16:17:23Z", "type": "Journal Article", "created": "2008-06-20", "title": "The Role Of Cattle Manure In Enhancing On-Farm Productivity, Macro- And Micro-Nutrient Uptake, And Profitability Of Maize In The Guinea Savanna", "description": "SUMMARYAn on-farm trial was conducted in the northern Guinea savanna of Nigeria, over a period of five years, with the objectives of quantifying the effects on maize of applying cattle manure in combination with synthetic fertilizer with regard to soil characteristics, yield, plant nutrition and profitability. Maize grain yield was significantly increased by the annual application of cattle manure, compared to maize receiving an equal amount of N through synthetic fertilizer, but only from the third year of the experiment. The application of manure resulted in higher soil Kjel N, Bray-I P and exchangeable K values, and an increased N utilization efficiency by maize, suggesting that yield-limiting factors other than N deficiencies were of lesser importance than in the treatment receiving sole inorganic fertilizer. Nutrients other than N applied via the manure, particularly P, K and/or B, may have contributed to the higher grain yields in treatments receiving manure. A partial budgeting analysis revealed that, over a 5-year period, investments in the application of manure, in combination with synthetic fertilizer, resulted in higher margins than the application of fertilizer alone. However, analyses of marginal rates of return of changes from low urea N to high urea N or additional manure applications suggested that it was more profitable to invest in additional urea than in organic manure in the first two years of the experiment. The results suggested that manure applications, even when applied at relatively high rates, did not serve as a quick fix to on-farm soil fertility problems, but over a longer period, manure applied in combination with synthetic fertilizers did provide a significant and profitable contribution to enhanced cereal production.
", "keywords": ["fertility", "northern nigeria", "2. Zero hunger", "livestock systems", "0401 agriculture", " forestry", " and fisheries", "west-africa", "continuous cultivation", "04 agricultural and veterinary sciences", "yield", "organic-matter", "management", "nitrogen", "soil"]}, "links": [{"href": "https://doi.org/10.1017/s0014479708006443"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Experimental%20Agriculture", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1017/s0014479708006443", "name": "item", "description": "10.1017/s0014479708006443", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1017/s0014479708006443"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2008-07-01T00:00:00Z"}}, {"id": "10.5281/zenodo.208231", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-28T16:22:39Z", "description": "This research empirically estimates potential energy utilization and GHG emission sequestration in small-scale maize production in Niger State, Nigeria using Data Envelopment Analysis (DEA). Data for the study were obtained from Kuta agricultural zone in Niger State; 120 maize farmers were randomly selected through multi-stage sampling technique, and data collected with the aid of pre-tested questionnaire coupled with interview schedule. Energy efficiency of maize farmers was studied and degrees of overall technical efficiency (CCR), pure technical efficiency (BCC) and scale efficiency (SE) were determined using a neoclassical non-parametric model called Data Envelopment Analysis (DEA). Additionally, wasteful uses of energy by inefficient DMUs (farms) were examined, and energy saving of different sources estimated. Furthermore, the effect of energy optimization on greenhouse gas (GHG) emission was investigated and the total amount of GHG emission of efficient DMUs (farms) was compared with inefficient DMUs. Results revealed that approximately 9.2% of the farmers were technically efficient with an estimated mean TE of 0.68. Furthermore, when BCC model was assumed, 24 farmers (DMUs) were identified to be locally efficient (20%), with mean PTE of 0.78. From the results, it was inferred that 32% (768.89MJ ha-1) of overall input energies can be saved if the performance of inefficient DMUs (farms) rose to a high level. Finally, by energy optimization the total GHG emission can be reduced to an estimated value of 394.91 kg CO2eq.", "keywords": ["2. Zero hunger", "DEA", "Technical Efficiency", "13. Climate action", "11. Sustainability", "0202 electrical engineering", " electronic engineering", " information engineering", "Small-scale", "Nigeria", "02 engineering and technology", "7. Clean energy", "GHG Emission", "Maize"], "contacts": [{"organization": "A. Suleiman, M. A. Isah, S. M. Umar, I.P. Singh, H. Sallawu, A. T. Lawal, M. S. Sadiq, A. M. Maude,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.208231"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.208231", "name": "item", "description": "10.5281/zenodo.208231", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.208231"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2015-01-01T00:00:00Z"}}, {"id": "10.5334/ijic.s3500", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-07-28T16:23:05Z", "type": "Journal Article", "created": "2019-08-09", "title": "Management of malaria, pneumonia and diarrhoea: addressing the needs of under-fives via culturally appropriate community \u2013 level strategy in Benue state, Nigeria", "description": "Although children below the age of five years in sub-Saharan Africa bear a high burden from malaria, pneumonia, and diarrhoea, few studies have reported on the influence of culturally competent care within the context of integrated community case management and its effectiveness in improving health outcomes for vulnerable populations. Using the archival method of research as well as data gleaned from interviews of 341 caregivers of children under the age of five years in four wards of a local government area in Benue state, Nigeria; we note that individual and community characteristics have the potential of increasing the utilisation of integrated community case management services across households accessing the service. This paper argues that child health services are likely to improve when interventions utilise the dynamics of individual and community factors in meeting the needs of families within systems of care. The paper adopts a conceptual framework that is sympathetic to health service utilisation and the policies that give rise to the problems associated with the use of integrated community case management of childhood services as seen in many countries in sub-Saharan Africa, including Nigeria. It suggests the use of targeted measures to strengthen utilisation of child health services at the community level.", "keywords": ["Medicine (General)", "R5-920", "integrated community case management", "malaria", "diarrhea", "1. No poverty", "pneumonia", "10. No inequality", "nigeria", "vulnerable populations", "3. Good health"]}, "links": [{"href": "https://doi.org/10.5334/ijic.s3500"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/International%20Journal%20of%20Integrated%20Care", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5334/ijic.s3500", "name": "item", "description": "10.5334/ijic.s3500", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5334/ijic.s3500"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-08-08T00:00:00Z"}}, {"id": "31769934-038c-4873-ab14-4b6b66531103", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[-157.9, -38.8], [-157.9, 29.1], [175.9, 29.1], [175.9, -38.8], [-157.9, -38.8]]]}, "properties": {"themes": [{"concepts": [{"id": "geoscientificInformation"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Soil science"}], "scheme": "Stratum"}, {"concepts": [{"id": "Australia"}, {"id": "Bangladesh"}, {"id": "Belize"}, {"id": "Benin"}, {"id": "Brazil"}, {"id": "Cameroon"}, {"id": "China"}, {"id": "Colombia"}, {"id": "Costa Rica"}, {"id": "Dominican Republic"}, {"id": "Ecuador"}, {"id": "Egypt"}, {"id": "El Salvador"}, {"id": "French Guiana"}, {"id": "Guadeloupe"}, {"id": "Honduras"}, {"id": "Hong Kong"}, {"id": "India"}, {"id": "Indonesia"}, {"id": "Madagascar"}, {"id": "Malaysia"}, {"id": "Mexico"}, {"id": "Micronesia"}, {"id": "Mozambique"}, {"id": "New Zealand"}, {"id": "Nigeria"}, {"id": "Palau"}, {"id": "Panama"}, {"id": "Philippines"}, {"id": "Saudi Arabia"}, {"id": "Singapore"}, {"id": "South Africa"}, {"id": "Sri Lanka"}, {"id": "Taiwan"}, {"id": "Thailand"}, {"id": "United States"}, {"id": "Vietnam"}], "scheme": "Region"}], "license": "CC0 1.0 Universal (CC0 1.0) Public Domain Dedication, https://creativecommons.org/publicdomain/zero/1.0/deed.en", "updated": "2024-11-27T10:08:58", "type": "Dataset", "language": "eng", "title": "Global mangrove soil carbon: dataset and spatial maps", "description": "Model outputs were updated on Dec 20, 2017. This project used a machine learning data-driven model to predict the distribution of soil carbon under mangrove forests globally. Specifically this dataset contains: 1) a compilation of georeferenced and harmonized soil profile data under mangroves compiled from literature, reports and unpublished contributions 2) global mosaics of soil carbon stocks to 1m and 2m depths produced at 100 m resolution 3) tiled predictions of soil carbon stocks produced at 30 m resolution 4) shape file containing the tiling system 5) shape file containing country boundaries used for calculating national level statistics.\nFor detailed methodologies, please see the scientific paper (https://doi.org/10.1088/1748-9326/aabe1c).", "formats": [{"name": "zip"}, {"name": "WWW:LINK-1.0-http--related"}], "keywords": ["carbon", "soil profiles", "Soil science", "Australia", "Bangladesh", "Belize", "Benin", "Brazil", "Cameroon", "China", "Colombia", "Costa Rica", "Dominican Republic", "Ecuador", "Egypt", "El Salvador", "French Guiana", "Guadeloupe", "Honduras", "Hong Kong", "India", "Indonesia", "Madagascar", "Malaysia", "Mexico", "Micronesia", "Mozambique", "New Zealand", "Nigeria", "Palau", "Panama", "Philippines", "Saudi Arabia", "Singapore", "South Africa", "Sri Lanka", "Taiwan", "Thailand", "United States", "Vietnam"], "contacts": [{"name": "Jonathan Sanderman", "organization": "Woods Hole Research Centre", "position": "Associate scientist", "roles": ["pointOfContact"], "phones": [{"value": null}], "emails": [{"value": "jsanderman@whrc.org"}], "addresses": [{"deliveryPoint": [null], "city": "Falmouth, Massachusetts", "administrativeArea": null, "postalCode": "MA 02540", "country": "United States of America"}], "links": [{"href": null}]}, {"name": "Tom Hengl", "organization": "ISRIC - World Soil Information", "position": "Former staff", "roles": ["Author"], "phones": [{"value": null}], "emails": [{"value": "None"}], "addresses": [{"deliveryPoint": ["PO Box 353"], "city": "Wageningen", "administrativeArea": null, "postalCode": "6700AJ", "country": "Netherlands"}], "links": [{"href": null}]}], "distancevalue": "30", "distanceuom": "m"}, "links": [{"href": "https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/OCYUIT", "name": "Project webpage", "protocol": "WWW:LINK-1.0-http--related", "rel": "information"}, {"href": "https://doi.org/10.1088/1748-9326/aabe1c", "name": "Scientific paper", "protocol": "WWW:LINK-1.0-http--related", "rel": "information"}, {"href": "https://files.isric.org/public/thumbnails/other/WD-Mangroves.jpg", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "self", "type": "application/geo+json", "title": "31769934-038c-4873-ab14-4b6b66531103", "name": "item", "description": "31769934-038c-4873-ab14-4b6b66531103", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/31769934-038c-4873-ab14-4b6b66531103"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["1969-01-01T00:00:00Z", "2015-09-01T00:00:00Z"]}}, {"id": "6fd2f113-9c67-49a4-99e1-8c6c7d4d5e72", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[-17.0, -34.0], [-17.0, 17.5], [49.0, 17.5], [49.0, -34.0], [-17.0, -34.0]]]}, "properties": {"themes": [{"concepts": [{"id": "geoscientificInformation"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Soil science"}], "scheme": "Stratum"}, {"concepts": [{"id": "Angola"}, {"id": "Benin"}, {"id": "Botswana"}, {"id": "Burkina Faso"}, {"id": "Burundi"}, {"id": "Cameroon"}, {"id": "Central African Republic"}, {"id": "Chad"}, {"id": "Demcratic Republic of the Congo"}, {"id": "Eswatini"}, {"id": "Ethiopia"}, {"id": "Gabon"}, {"id": "Ghana"}, {"id": "Guinea"}, {"id": "Guinea-Bissau"}, {"id": "Kenya"}, {"id": "Lesotho"}, {"id": "Madagascar"}, {"id": "Malawi"}, {"id": "Mali"}, {"id": "Mauritania"}, {"id": "Mozambique"}, {"id": "Namibia"}, {"id": "Niger"}, {"id": "Nigeria"}, {"id": "Republic of the Congo"}, {"id": "Rwanda"}, {"id": "Senegal"}, {"id": "Sierra Leone"}, {"id": "Somalia"}, {"id": "South Africa"}, {"id": "South Sudan"}, {"id": "Sudan"}, {"id": "Tanzania"}, {"id": "Togo"}, {"id": "Uganda"}, {"id": "Zambia"}, {"id": "Zimbabwe"}], "scheme": "Region"}], "license": "Attribution-NonCommercial 3.0 International (CC BY-NC 3.0), https://creativecommons.org/licenses/by-nc/3.0/", "updated": "2021-07-14T11:51:39", "type": "Dataset", "language": "eng", "title": "Africa Soil Profiles Database, version 1.0", "description": "ISRIC World Soil Information is compiling legacy soil profile data of Sub Saharan Africa, as a project activity of the AfSIS project (Globally integrated Africa Soil Information Service). http://africasoils.net/services/data/soil-databases/\n\nAfrica Soil Profiles database, version. 1.0 (April 2012) identifies less than 15700 unique soil profiles inventoried from a wide variety of data sources. From the less than 14600 profiles that are geo-referenced, soil layer attribute data are available for less than 12500 and soil analytical data for less than 10000 profiles. The database includes, but is not limited, to the soil attributes specified by GlobalSoilMap.net. Soil attribute values are standardized according to e-SOTER conventions and validated according to routine rules. Odd values are flagged. The degree of validation, and associated reliability of the data, varies because reference soil profile data, that are previously and thoroughly validated, are compiled together with non-reference soil profile data of lesser inherent representativeness.\n \nUpdated milestone versions of the dataset have been posted online and made available to the project serving as input to the soil property maps generated by AfSIS. The continuously growing dataset will also be made available through the World Soil Information Service upon continuation of the project activity. 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