Income and Cost Budgets for Winter Crops
2018 season
Area coverage
Table 1 and Table 2 indicates the area of coverage and include the dryland and irrigated crops. The source of data and collaborators are also included.
Area | Dryland crops | Source and Collaborators |
---|---|---|
Southern Cape | ||
Caledon | Wheat, barley, canola, oats and lupins | Overberg Agri, GSA and BFAP |
Bredasdorp | Wheat, barley, canola, oats and lupins | Overberg Agri, GSA and BFAP |
Swellendam / Heidelberg | Wheat, barley, canola, oats and lupins | SSK, GSA and BFAP |
Riversdal / Albertina | Wheat, barley, canola, oats and lupins | SSK, GSA and BFAP |
Western Cape | ||
Southern Swartland | Wheat and canola | Kaap Agri, Overberg Agri, GSA and BFAP |
Moorreesburg, Malmesbury and Porterville | Wheat, canola and oats | Kaap Agri, Overberg Agri, GSA and BFAP |
Darling-vlakte – Hopefield (Sandveld) | Wheat, canola and lupins | Kaap Agri, Overberg Agri, GSA and BFAP |
Rooi Karoo | Wheat and canola | Kaap Agri, Overberg Agri, GSA and BFAP |
Free State | ||
Eastern Free State | Wheat | GSA / VKB / BFAP / Individual farmers |
Central Free State | Wheat | GSA / VKB / BFAP / Individual farmers |
Area | Irrigated crops | Source and Collaborators |
---|---|---|
Northern Cape | ||
GWK area | Wheat, barley and canola | GWK, GSA and BFAP |
Free State | ||
Eastern Free State | Wheat | GSA / VKB / BFAP / Individual Farmers |
Limpopo | ||
Britz / Northam / Koedoeskop | Wheat and barley | GSA, Obaro and BFAP |
Yield assumptions
Figure 1 and Figure 2 reports the yield assumptions for dryland and irrigated crops. The yield assumptions represents target yields which were determined in a round table discussion which are based on the potential in the respective regions, historic trends and expert opinions. It is important to note that intra-regional variations will occur and it is recommended that producers adjust their respective target yields based on their location and potential. Table 1.3 illustrates descriptive statistics for yield trends and projections over the period from 2005-2020.
Wheat: Winter area |
Wheat: Summer area |
Wheat: Irrigation |
Barley: Winter area |
Barley: Summer area |
Canola | |
---|---|---|---|---|---|---|
Mean | 2.6 | 2.7 | 6.2 | 2.9 | 6.3 | 1.3 |
3-year average: 2015-2017 | 2.5 | 3.1 | 6.7 | 3.3 | 6.0 | 1.3 |
5-year average: 2013-2017 | 2.7 | 3.1 | 6.5 | 3.1 | 6.4 | 1.4 |
Minimum | 1.8 | 1.5 | 5.3 | 2.0 | 5.2 | 0.9 |
Median | 2.6 | 2.7 | 6.2 | 3.0 | 6.5 | 1.3 |
Maximum | 3.4 | 4.1 | 7.1 | 3.6 | 7.1 | 1.8 |
Source: BFAP, 2018
Crop price assumptions
Annually, the Bureau for Food and Agricultural Policy (BFAP) presents an outlook of agricultural production, consumption, prices and trade in South Africa over a 10-year period. The information presented is based on assumptions about a range of economic, technological, environmental, political, institutional, and social factors. The outlook is generated by the BFAP system of models. A number of critical assumptions have to be made for baseline projections. One of the most important assumptions is that normal weather conditions will prevail in Southern Africa and around the world; therefore, yields grow constantly over the baseline as technology improves. Assumptions regarding the outlook of macroeconomic conditions are based on a combination of projections developed by the International Monetary Fund (IMF), the World Bank and the Bureau for Economic Research (BER) at Stellenbosch University. Baseline projections for world commodity markets were generated by FAPRI at the University of Missouri. Once the critical assumptions are captured in the BFAP system of models, the Outlook for all commodities is simulated within a closed system of equations. This implies that, for example, any shocks in the grain sector are transmitted to the livestock sector and vice versa. Therefore, for each commodity, important components of supply and demand are identified, after which an equilibrium is established through balance sheet principles by equalling total demand to total supply.
Figure 3 illustrates the commodity price assumptions for wheat, barley and canola that were used as base price for the winter crop budgets for the 2018 production season. Table 1.4 illustrates the standard deduction from the base SAFEX price as presented in Figure 1.3. The sensitivity analysis in the respective crop budgets makes provision for variation in price and yield and indicates the gross margin under each price and yield combination.
Wheat | Barley | Canola | |
---|---|---|---|
SAFEX / Derived Price: 2018 | X | X (adjusted with price link) |
X |
– transport differential | X | X | – |
– grade differential (B1, B2, B3 and UT) | Based on historic averages | B1 | – |
– silo, handling and administration costs | X | X | – |
– statutory levies | X | X | X |
+ price premiums | – | X | Back payment calculated at 10% of derived price |