A Community-Based Breeding Program as a Genetic Resource Management Strategy of Indonesian Ongole Cattle

Hariadi Darmawan, Hsiu-Luan Chang () and Hsi-Hsun Wu ()
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Hariadi Darmawan: Department of Tropical Agriculture and International Cooperation, National Pingtung University of Science and Technology, Pingtung 912, Taiwan
Hsiu-Luan Chang: Department of Animal Science, National Pingtung University of Science and Technology, Pingtung 912, Taiwan
Hsi-Hsun Wu: Department of Animal Science, National Pingtung University of Science and Technology, Pingtung 912, Taiwan

Sustainability, 2023, vol. 15, issue 7, 1-16

Abstract: It is essential to manage genetic resources, especially in local livestock breeds, to establish an equilibrium among livestock, humans, and the environment for sustainable development in conservation. Genetic resource management is necessary to overcome challenges to increasing productivity while ensuring environmental sustainability and climate resilience. Attempts to overcome these challenges have led to the threat of genetic erosion through uncontrolled crossbreeding, particularly threatening the hybrid vigor of indigenous breeds, such as Indonesian Ongole cattle. Considering community-based breeding as a viable management strategy for systematic livestock breeding, this study aimed to design a community-based breeding program for Indonesian Ongole cattle. The profile of socio-ecological community and genetic resources were studied using a purposive random sampling technique within an effective population size as a case study; both the respondents and the objects of the study were investigated. The study revealed that indigenous knowledge and livelihood-supported institutions are crucial to genetic resource management practices in cattle breeding. These factors are shown to be strategic priorities when designing community-based breeding programs. This approach to design empowers local cooperatives to operate a community-based breeding program for Indonesian Ongole cattle by standardizing an integrated system for selecting incentive initiatives using big data.

Keywords: genetic resources; local livestock; sustainable development; community-based; design; indigenous knowledge; livelihoods supported; institution (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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