The main objectives of this study can be divided into three categories. In the first place it refers to the determination of production- and reproduction norms for the different main production areas in the greater Burgersdorp area, to promote production. In the second place it refers to the determination of the different management styles of sheep farmers in the greater Burgersdorp area. In the third place it refers to the calculation of gross margins for sheep farming in the greater Burgersdorp area, to establish the sustainable economic position. The survey area (the greater Burgersdorp area) includes the magisterial districts of Burgersdorp, Molteno, Steynsburg and Venterstad. The four magisterial districts were divided into two main production areas namely Stormberg Highveld and Burgersdorp Lowveld. Stormberg Highveld includes Molteno and the high-lying area (highveld) of Burgersdorp. Burgersdorp Lowveld comprises Steynsburg, Venterstad and the low-lying area (lowveld) of Burgersdorp. The management strategies of sheep farmers in the survey area were determined by means of a questionnaire and statistically analysed. The economic analyses of the sheep industry (wool and meat) were performed with the Geyer computer model. In this study it showed that the Dorper farmers obtained the highest gross margin per sheep. The lowest gross margin per sheep resulted from the Vleismerino farmers. Although the composition of the gross production value and the directly allocatable variable costs compare favourably, each main production area has unique management strategies for the different sheep breeds. The different management strategies can serve as the norm for extensive sheep farming, applicable to the specific main production area.
Identifer | oai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:nmmu/vital:10953 |
Date | January 2002 |
Creators | Coetzee, Johanna Magdalena |
Publisher | Port Elizabeth Technikon, Faculty of Science, Department of Agricultural Management |
Source Sets | South African National ETD Portal |
Language | Afrikaans |
Detected Language | English |
Type | Thesis, Masters, MTech |
Format | 209, 25 leaves, pdf |
Rights | Nelson Mandela Metropolitan University |
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