Sustainability status of pasture for cattle development area in Pinrang Regency, South Sulawesi

JA Syamsu, M Yusuf, Zulkharnaim
2019 IOP Conference Series: Earth and Environment  
This study aimed to analyze the index and sustainability status of pasture as beef cattle development area. By knowing the status of sustainability based on ecological, economic, social and technological dimensions will help in making improvements to sensitive attributes that affect the sustainability status of the pasture as beef cattle development area. The study was carried out in the pasture area of Suppa and Mattirobulu Districts, Pinrang Regency. The data in the present study consisted of
more » ... primary and secondary data. Determination of farmers as respondents was performed randomly. In this study, the experts were also involved as respondents. The selection of experts was prioritized on experts/practitioners who had the expertise, reputation and or experience in the aspects that related to this study. The method of analyzing the sustainability of pasture as for beef cattle development area was carried out using the Multi-Dimensional Scaling (MDS) approach, using a modified Rap-Fish program technique. The results of this study showed that the multidimensional sustainability status resulted in the sustainability index of pasture for beef cattle development area producing an index value of 46.12 (less sustainable). In order to improve the sustainability status, improvements must be made to the sensitive attributes of each dimension. Ecological dimension attributes: a) high level of stocking rate; b) high level of weeds. Attributes that need improvement for the economic dimension: a) cost efficiency of pasture management; b) increased farmers income. The social dimension: a) regulation for establishment of pasture areas; b) strengthening farmers group institution, and technological dimensions: a) introduction of high quality of grass and legumes; b). increased the quality of pasture.
doi:10.1088/1755-1315/247/1/012058 fatcat:ake6vxosdjg3faabzmnhcnrquy