Abstract
The research aims to analyze the ruminant and food crop integration system development in Kolaka Regency using LQ (Location Quotient) analysis and supporting capacity analysis, sourced from secondary data collected from various literature supporting this study. The analysis results showed that the base for cattle development is in Samaturu, Polinggona, and Watubangga subdistricts, and buffalo livestock development bases are located in Latambaga Wolo Iwoimendaa Subdistrict, Baula Subdistrict, Pomalaa Subdistrict, and Tanggetada Subdistrict. The base of goat livestock development is in latambaga, Iwoimendaa, Somalia, and Toari subdistricts with LQ1 values. As for the analysis of the carrying capacity of beef cattle feed, 19,724 heads (LU), buffalo 23,644 heads (LU), and goats 182,445 heads (LU). In conclusion, the utilization of food crop follow-up results can be a source of animal feed. It gives direction to the utilization of feed resources based on follow-up results.
Highlights
The development of ruminant livestock, especially beef cattle, buffalo, and goats, is inseparable from the carrying capacity of the region, especially the source of animal feed derived from agricultural products in the form of food crops, forage, and plantation follow-up products (Pagala et al, 2020)
Research Design The material used in this study is the collection of beef cattle, buffalo, and goats belonging to ruminants and scattered in the Kolaka Regency
Data Source The data used in this study were sourced from Kolaka District Statistics (BPS), which was collected from various literature to support the analysis results
Summary
The development of ruminant livestock, especially beef cattle, buffalo, and goats, is inseparable from the carrying capacity of the region, especially the source of animal feed derived from agricultural products in the form of food crops, forage, and plantation follow-up products (Pagala et al, 2020). Most farmers and farmers of food crops in the Kolaka Regency have not utilized the feed source optimally because it is constrained in knowledge and human resources to support sustainable agricultural systems.
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