INCOME & COST BUDGETS  //  Summer Crops 2020/2021

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Area coverage

Table 1.1 and Table 1.2 provides an overview of the area of coverage for dryland and irrigated summer crops in South Africa's key agro-ecological producing regions. The coordinators of this initiative are sincerely grateful for the interaction and assistance with data, knowledge and other inputs from each organisation, agribusiness and farmers.

Table 1.1: Area coverage – Dryland
Area Dryland crops Source and Collaborators
Bloedrivier Maize and soybeans GSA / BFAP / Individual farmers
Middelburg / Trichardt Maize, soybeans and grain sorghum GSA / BFAP / Individual farmers
Ermelo Maize and soybeans GSA / BFAP / Individual farmers
Eastern Free State
Reitz region Maize, soybeans, sunflower and dry beans GSA / VKB / BFAP / Individual farmers
Northern Free State
Northern Free State – water table soils / higher potential Maize GSA / Senwes / BFAP
Northern Free State – normal potential Maize GSA / Senwes / BFAP
Northern Free State Maize, soybeans, sunflower, groundnuts and grain sorghum GSA / Senwes / BFAP
North West
Koster Maize, soybeans and sunflower GSA / NWK / BFAP / Individual farmers
Lichtenburg Maize, soybeans, sunflower and groundnuts GSA / NWK / BFAP / Individual farmers
Table 1.2: Area coverage – Irrigation
Area Irrigated crops Source and Collaborators
Northern Cape
GWK area Maize, soybeans, groundnuts and sunflower GWK / GSA / BFAP
Bergville Maize and soybeans GSA / Individual farmers
North West
Britz / Northam / Koedoeskop Maize, soybeans, sunflower and sorghum GSA / NWK / Individual farmers
Loskop Irrigation Scheme Maize and soybeans GSA / Individual farmers

Yield assumptions

Figure 1.1 and Figure 1.2 reports the yield assumptions for dryland and irrigated crops. These assumptions represent target yields which were formulated in round table discussions. These levels are based on crop 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 target yields based on their location and potential.

Figure 1.1: Dryland crops yield assumptions
Figure 1.1: Dryland crops yield assumptions
Figure 1.2: Irrigated crops yield assumptions
Figure 1.2: Irrigated crops yield assumptions

Crop price assumptions

Annually, the Bureau for Food and Agricultural Policy (BFAP) presents a baseline outlook for agricultural production, consumption, prices and trade in South Africa over a 10-year horizon. The outlook is generated within the BFAP system of models and is based on a coherent set of assumptions about a range of economic, technological, environmental, political, institutional, and social factors. Of the range of critical assumptions underpinning the baseline projections, one of the most important is that stable weather conditions will prevail in Southern Africa and around the world; therefore, yields grow constantly over the baseline as technology improves. Consequently, it does not represent a forecast, but rather a single plausible future outcome, based on fundamental factors underpinning markets. It presents a future equilibrium and a benchmark against which further analysis can be measured and understood.

Assumptions related to the future macro-economic environment 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, as well as the Food and Agriculture Association (FAO) of the United Nations. Once these critical assumptions are captured in the BFAP system of models, the Outlook for all commodities is simulated within a closed system of equations. This captures the interlinkages between sectors and, for example, any shocks in the grain sector are transmitted to the livestock sector and vice versa. For each commodity, important components of supply and demand are identified, after which an equilibrium is established through balance sheet principles by equating total demand to total supply.

Figure 1.3 illustrates the key commodity price assumptions for white maize, yellow maize, sorghum, sunflower and soybeans that were used in the summer crop budgets for the 2020/21 production season. Further deductions were made to calculate a farm gate price for each agro-ecological producing region. 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.

Figure 1.3: BFAP average annual commodity price projections: 2017-2021
Source: BFAP, October 2020
Figure 1.3: BFAP average annual commodity price projections (2017-2021)

Key input cost trends

Figure 1.4 illustrates the cost trends for fuel and fertilisers over the period from January 2018 to September 2020. Internationally, the cost of ammonia, urea, DAP and KCL have declined year-on-year over the period from March to July, driven mainly by the firm decrease in the Brent crude oil price as a result of the COVID-19 pandemic. Over the same period, the Rand has depreciated significantly, causing domestic prices for fertiliser to increase year-on-year. Over the period from January to September (2019 vs. 2020), the cost for urea and LAN28 reported only a marginal increase between 1.7-2.5%. The cost for MAP and KCL trended lower opposed to the same period in 2019 (4.2% and 0.7% respectively).

Figure 1.5 presents an overview on the year-on-year percentage changes for the cost of herbicides and insecticides in international and domestic markets. It considers the period from March to September. Internationally, the cost for herbicides has decreased by 5% over the period. As a result of the weaker exchange rate, domestic herbicides reported an increase of 12%. For insecticides, international prices were 24% lower and domestically, a decrease of 10%.

Figure 1.4: Fertiliser and fuel cost trends: January 2018 to September 2020
Source: Grain SA, October 2020
Figure 1.4: Fertiliser and fuel cost trends: January 2018 to September 2020
Figure 1.5: Plant protection cost trends: Percentage change 2019-2020 (average from March to September)
Source: Grain SA, October 2020
Figure 1.5: Plant protection cost trends: Percentage change 2019-2020

Methodology, approach and definitions

  • A standard operating procedure was used across all crops and regions for generating the cost and income budgets for the 2020/21 production season.
  • Deterministic or target yields were based on industry discussions which refers to a yield that should be obtained given a normal production season with normal weather in the respective agro-ecological production regions.
  • The farm gate price for each crop was calculated by deducting transport differential, grade differential, handling fees, commission and levies (statutory) from the simulated SAFEX price.
  • The gross production value is then calculated by multiplying the yield with the farm gate price.
  • The direct costs are calculated by multiplying the cost per unit by the estimated quantity of input use or application rate.
  • For the majority of the crops, it was assumed that own machinery was used, except for speciality operations that is coupled with economies of scale. In such cases, a contracting cost item was allocated. For all crops, provision was made for hail insurance.
  • Fertiliser and lime application will vary significantly in regions and across crops, however, an attempt was made to follow a standardised approach across the regions. Micro-elements and foliar feed for selective crops are included in the total fertiliser cost.
  • Fuel consumption is based on the prevalence production system in each region.
  • For plant protection, herbicide, insecticide and fungicides are accounted for based on interaction with industry experts and producers. For instance, in certain regions provision was made for fungicide sprays, but for others where the practise is not common, fungicides were excluded from plant protection costs.
  • Repairs and maintenance costs are calculated based on the production system operations.
  • For seed, an assumption was made in terms of the majority of crop type area that is cultivated in each region. For instance, the cost of maize seed in Northern-Natal, Mpumalanga and Eastern Free State is based on the assumption that the majority of the area under maize cultivation is yellow maize whereas for the western producing regions, white maize was assumed. An average seed price across various seed companies was used for 1) conventional seeds and 2) GM-technology. The cost of seed per hectare is calculated by multiplying the cost per unit (either kilograms or plant population) by the application rate per hectare. For selective crops, seed treatment was included where relevant. For predominantly oilseeds production, the seed application rate was sub-divided according to own and purchased seed. For own seed use, a cost was also allocated which is based on a realistic crop price (hence, opportunity cost) and seed preparation costs such as sifting and treatment.
  • For irrigated crops, the cost of water and electricity was calculated according to typical irrigation application rates at their respective regional costs per millimetre. For instance, variations will occur in the cost for water in areas where predominantly boreholes are used compared to irrigation/water scheme areas.
  • The gross margin was calculated by subtracting the direct cost from the gross production value.
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