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Melash AA, Bogale AA, Migbaru AT, Chakilu GG, Percze A, Ábrahám ÉB, Mengistu DK. Indigenous agricultural knowledge: A neglected human based resource for sustainable crop protection and production. Heliyon 2023; 9:e12978. [PMID: 36711305 PMCID: PMC9876958 DOI: 10.1016/j.heliyon.2023.e12978] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Revised: 12/31/2022] [Accepted: 01/10/2023] [Indexed: 01/15/2023] Open
Abstract
Indigenous knowledge, developed over generations and owned by communities or individuals within a community, offers alternative strategies and perspectives on resource management and use. However, as emphasized in the contemporary agricultural history of Ethiopia, the most effective indigenous agricultural knowledge has not been well documented and some of them are replaced by modern techniques. This study was therefore conducted to assess and document community-based techniques to control pests and diseases and the practical implications of indigenous farming techniques. A focus group discussion, key informant interviews and semi-structured questionnaires were conducted with 150 farmers. The result showed that a substantial number (92%) of the farming community uses indigenous based plant protection measures. Indigenous farmers (92%) splash liquids made of cow urine to control the adverse effect of fungi. Farmers are also using different seed selection methods for next season planting. About 29% of the farmers do single head-based seed selection prior to mass harvesting, 34% are collected as "Qerm" and 45% select their seeds during threshing. Indigenous farming knowledge varies with the natural feature of the growing location and cropping system, including the rainfall pattern, soil fertility status, crop, and weed type. The observed positive effect of indigenous agricultural practices on crop production substantiates the need to include these essential approaches in the cultivation system along with the modern agronomic techniques. This might reduce the dependency on expensive and pollutant agricultural inputs. However, sociodemographic factors such as educational level, marital status and farming experience have been found as a determinant factor that influences utilization of indigenous farming knowledge. It can be therefore inferred that documenting indigenous knowledge and proving its applicability scientifically could contribute to organically oriented agricultural production and consequently reduce agriculture's contribution to environmental pollution.
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Affiliation(s)
- Anteneh Agezew Melash
- Department of Horticulture, College of Agriculture and Environmental Science, Debark University, P.O. Box, 90, Debark, North Gondar, Ethiopia,Faculty of Agricultural and Food Sciences and Environmental Management, Institute of Crop Sciences, University of Debrecen, Böszörményi Str. 138, H-4032 Debrecen, Hungary,Corresponding author. Faculty of Agricultural and Food Sciences and Environmental Management, Institute of Crop Sciences, University of Debrecen, Böszörményi Str. 138, H-4032 Debrecen, Hungary
| | - Amare Assefa Bogale
- Department of Horticulture, College of Agriculture and Natural Resource, Mekdela Amba University, P.O. Box, 32, Tuluawulia, South Wollo, Ethiopia,Institute of Crop Production, Hungarian University of Agriculture and Life Science, Gödöllő, 2100 Gödöllő, Hungary
| | - Abeje Tafere Migbaru
- Department of Management, College of Business and Economics, Debark University, P.O. Box, 90, Debark, North Gondar, Ethiopia
| | - Gashaw Gismu Chakilu
- Department of NaRM, College of Agriculture and Environmental Science, Debark University, P.O. Box, 90, Debark, North Gondar, Ethiopia
| | - Attila Percze
- Institute of Crop Production, Hungarian University of Agriculture and Life Science, Gödöllő, 2100 Gödöllő, Hungary
| | - Éva Babett Ábrahám
- Faculty of Agricultural and Food Sciences and Environmental Management, Institute of Crop Sciences, University of Debrecen, Böszörményi Str. 138, H-4032 Debrecen, Hungary
| | - Dejene K. Mengistu
- Alliance of Bioversity International and CIAT, ILRI, P.O. Box 5689, Addis Ababa, Ethiopia
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Daniel N, Mátyás G. Citizen science characterization of meanings of toponyms of Kenya: a shared heritage. GEOJOURNAL 2023; 88:767-788. [PMID: 35465171 PMCID: PMC9012991 DOI: 10.1007/s10708-022-10640-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Accepted: 03/28/2022] [Indexed: 05/09/2023]
Abstract
This paper examines the toponymic heritage used in Kenya's Authoritative Geographic Information (AGI) toponyms database of 26,600 gazetteer records through documentation and characterization of meanings of place names in topographic mapping. A comparison was carried out between AGI and GeoNames and between AGI and OpenStreetMap (OSM) volunteered records. A total of 15,000 toponymic matchings were found. Out of these, 1567 toponyms were then extracted for further scrutiny using AGI data in the historical records and from respondents on toponyms' meanings. Experts in toponymy assisted in verifying these data. From the questionnaire responses, 235 names occurred in more than one place while AGI data had 284. The elements used to characterize the toponyms included historical perceptions of heritage evident in toponyms in their localities, ethnographic, toponymical and morphology studies on Kenya's dialects. There was no significant relationship established between the same place name usages among dialects as indicated by a positive weak correlation r (438), = 0.166, p < 0.001 based on the effect of using the related places and the distance between related places. The weak correlation implies that the one name one place principle does not apply due to diverse language boundaries, strong bonds associated with historical toponyms in the form of heritage and significant variations on how names resist changes to preserve their heritage.
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Affiliation(s)
- Nyangweso Daniel
- PhD School of Earth Sciences, ELTE Eötvös Loránd University, Pázmány Péter sétány 1/A, H-1117 Budapest, Hungary
| | - Gede Mátyás
- Institute of Cartography and Geoinformatics, ELTE Eötvös Loránd University, Pázmany Péter sétány 1/A, H-1117 Budapest, Hungary
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Capra GF, Tidu S, Lovreglio R, Certini G, Salis M, Bacciu V, Ganga A, Filzmoser P. The impact of wildland fires on calcareous Mediterranean pedosystems (Sardinia, Italy) - An integrated multiple approach. THE SCIENCE OF THE TOTAL ENVIRONMENT 2018; 624:1152-1162. [PMID: 29929227 DOI: 10.1016/j.scitotenv.2017.12.099] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/19/2017] [Revised: 12/08/2017] [Accepted: 12/08/2017] [Indexed: 06/08/2023]
Abstract
Sardinia (Italy), the second largest island of the Mediterranean Sea, is a fire-prone land. Most Sardinian environments over time were shaped by fire, but some of them are too intrinsically fragile to withstand the currently increasing fire frequency. Calcareous pedoenvironments represent a significant part of Mediterranean areas, and require important efforts to prevent long-lasting degradation from fire. The aim of this study was to assess through an integrated multiple approach the impact of a single and highly severe wildland fire on limestone-derived soils. For this purpose, we selected two recently burned sites, Sant'Antioco and Laconi. Soil was sampled from 80 points on a 100×100m grid - 40 in the burned area and 40 in unburned one - and analyzed for particle size fractions, pH, electrical conductivity, organic carbon, total N, total P, and water repellency (WR). Fire behavior (surface rate of spread (ROS), fireline intensity (FLI), flame length (FL)) was simulated by BehavePlus 5.0.5 software. Comparisons between burned and unburned areas were done through ANOVA as well as deterministic and stochastic interpolation techniques; multiple correlations among parameters were evaluated by principal factor analysis (PFA) and differences/similarities between areas by principal component analysis (PCA). In both sites, fires were characterized by high severity and determined significant changes to some soil properties. The PFA confirmed the key ecological role played by fire in both sites, with the variability of a four-modeled components mainly explained by fire parameters, although the induced changes on soils were mainly site-specific. The PCA revealed the presence of two main "driving factors": slope (in Sant'Antioco), which increased the magnitude of ROS and FLI; and soil properties (in Laconi), which mostly affected FL. In both sites, such factors played a direct role in differentiating fire behavior and sites, while they played an indirect role in determining some effects on soil.
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Affiliation(s)
- Gian Franco Capra
- Dipartimento di Architettura, Design e Urbanistica, Università degli Studi di Sassari, Via Colombo n° 1, 08100 Nuoro, Italy; Desertification Research Centre, Università degli Studi di Sassari, Viale Italia n° 39, 07100 Sassari, Italy.
| | - Simona Tidu
- Dipartimento di Agraria, Università degli Studi di Sassari, Via Colombo n° 1, 08100 Nuoro, Italy.
| | - Raffaella Lovreglio
- Dipartimento di Agraria, Università degli Studi di Sassari, Via Colombo n° 1, 08100 Nuoro, Italy.
| | - Giacomo Certini
- Dipartimento di Scienze Produzioni Agroalimentari e dell'Ambiente, Università degli Studi di Firenze, Piazzale delle Cascine n° 28, 50144 Firenze, Italy.
| | - Michele Salis
- Consiglio Nazionale delle Ricerche, Istituto di Biometeorologia, Regione Baldinca, 07100 Sassari, Italy; Centro Euro-Mediterraneo sui Cambiamenti Climatici, Divisione IAFES, Via de Nicola 9, 07100 Sassari, Italy.
| | - Valentina Bacciu
- Centro Euro-Mediterraneo sui Cambiamenti Climatici, Divisione IAFES, Via de Nicola 9, 07100 Sassari, Italy.
| | - Antonio Ganga
- Dipartimento di Architettura, Design e Urbanistica, Università degli Studi di Sassari, Via Colombo n° 1, 08100 Nuoro, Italy.
| | - Peter Filzmoser
- CSTAT - Computational Statistics, Institute of Statistics & Mathematical Methods in Economics, Vienna University of Technology, Wiedner Hauptstr. 8-10, 1040 Wien, Austria.
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