Article ; Online: Factors influencing the integration of indigenous and conventional knowledge of water security for livestock.
Tropical animal health and production
2023 Volume 55, Issue 2, Page(s) 136
Abstract: Farmers have developed indigenous knowledge (IK) on predictive and adaptation strategies to sustain water security. The objective of the study was to determine factors that influence the integration of IK and conventional knowledge (CK) to ensure water ... ...
Abstract | Farmers have developed indigenous knowledge (IK) on predictive and adaptation strategies to sustain water security. The objective of the study was to determine factors that influence the integration of IK and conventional knowledge (CK) to ensure water security for livestock. Focus group discussions and semi-structured interviews were used to gather data. Farmers in Musina and uMhlabuyalingana use IK indicators to predict rain for water security. Farmers in uMhlabuyalingana predicted rain using wind movement more than their counterparts in Musina (P < 0.05). Taboos were used (P > 0.05) in both Musina and uMhlabuyalingana to ensure water security. Cultural prohibitions were used more in uMhlabuyalingana to cope with water shortages than in Musina (P < 0.05). Boreholes, home taps and municipal water were not properly maintained (P > 0.05). Socio-economic factors had greater influence on the integration of IK and CK. Males were 2.24 times likely to support integration of IK and CK compared to women. Adults were 7.1 times likely to support integration of IK and CK compared to those that were younger. Farmers were open to the integration of conventional and indigenous knowledge to ensure water security. Promoting the integration of IK and CK enables stakeholders to gain access to valuable information which can, in turn, promote sustainable community development. |
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MeSH term(s) | Male ; Female ; Animals ; Humans ; Livestock ; Water ; Farmers ; Rain ; Water Supply |
Chemical Substances | Water (059QF0KO0R) |
Language | English |
Publishing date | 2023-03-29 |
Publishing country | United States |
Document type | Journal Article |
ZDB-ID | 603363-5 |
ISSN | 1573-7438 ; 0049-4747 |
ISSN (online) | 1573-7438 |
ISSN | 0049-4747 |
DOI | 10.1007/s11250-023-03529-z |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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