Article originally published on The Lightwood Consultancy website, and reproduced here with permission.
Setting up to capture favourable seasons is becoming both more important and more difficult. Cool-season rainfall has fallen about 16% in the south-west since 1970 and about 9% in the south-east since 1994. ABARES modelling estimated that the hotter, drier conditions of 2000 to 2019 cut average cropping-farm profit by about 35% compared with 1950 to 1999; without the adaptation producers have made since 1990, the fall would have been 49%. Australia’s wheat yield variability is the highest among six countries studied by the OECD (coefficient of variation 0.47 on individual farms), with yield risk more systemic because drought affects all crops at once.
As variability rises, capturing more in favourable seasons matters more, because a producer who does so can better carry the cost of poor ones. This changes how a profitable paddock decision should be understood. It is the decision that accounts for the paddock’s constraints, the probability of capturing upside when conditions allow, and the effect on productive capacity beyond the current crop.
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Soil condition determines what any input can achieve. Understanding productive capacity and its constraints is the first step; the second is assessing decisions against that understanding.
Risk-adjusted opportunity translates that understanding into a forward assessment: given the evidence, the cost and conditions of acting, and the farm’s capacity to carry the action, is the proposed input likely to pay? Risk-adjusted return closes the loop: did the decision deliver what was expected, and what does the difference reveal?
Connecting these assessments across seasons requires a record that links evidence, recommendation, decision, action, cost and result. A Minimum Record of Account (MRA) provides that connection. Without it, the reasoning behind decisions stays in memory, assumptions go untested, and the same mistakes recur without being recognised as patterns. Digital integration makes the MRA practical to maintain and query across the timeframes that matter.
The wider purpose is inter-generational: managing the farm as a productive asset whose viability extends beyond any single operator’s tenure. Decisions that extract value from soil capacity without replenishing it can look profitable in one season and erode the asset over time. An MRA makes it possible to distinguish decisions that maintain capacity from those that draw it down.
Agronomists are the critical path. The advisory business model needs to change to support it, from seasonal prescription toward a service built on continuity, review and demonstrable value across years.
“If the goal is to establish an MRA as working practice, the agronomy business is where the transition has to happen. Producers adopt practices their agronomist supports. This requires agronomists to think beyond season-to-season yield and profit. If the goal is inter-generational farm planning, the frame for assessing advice must match.
The transition involves three things: people who are confident in the data and have a clear reason to maintain it; processes linked to the season, the paddock and the decision; and technology that connects what is collected to what is decided.
The commercial proposition is that connected records support a broader and more defensible advisory service. An agronomist who can show a producer the trajectory of a paddock’s productive capacity, the return on past input decisions and the basis for this season’s recommendation is offering something a product-attached recommendation does not.”
Whether an MRA changes decisions or improves returns is untested. The case set out here is that the logic is sound, the evidence for each component is established, and the tools to build and maintain the record exist. The necessary next step is to test it.
Read the full whitepaper here.
About Lightwood Consultancy
Chris Geeves provides business management services to the Australian agricultural industry as a technology specialist.
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