Article summary: Use MLA’s November 2025 Beef Producer Intentions Survey as a “read” on how producers are thinking about numbers, not as a price forecast. Translate sentiment into practical implications for pasture demand, fodder competition, and restocker behaviour. Stress-test your feed plan using a few simple scenarios and a short “what to watch next” list.
If you manage pasture, you don’t need a crystal ball to feel market pressure. You feel it in the real stuff: competition for agistment, the speed fodder disappears, how hard restockers bid, and how quickly “spare grass” turns into “tight grass”.
That’s where producer sentiment surveys can help. Not to predict prices, but to give you a grounded read on intent: are more people thinking “build”, “hold”, or “trim”? And what does that mean for grass demand over the next 6–12 months?
A useful reference point is Meat & Livestock Australia’s Beef Producer Intentions Survey (BPIS), which focuses on Australia’s grassfed cattle producers and their intentions over the coming 12 months.
Three headline stats (then we stop counting)
From the November 2025 BPIS:
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About 79% of producers reported a positive outlook for the next 12 months.
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About half of surveyed producers expect to increase herd numbers in the coming year.
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Overall, the survey’s herd change analysis suggests a forecast lift of roughly 3% in the on-farm grassfed adult beef herd from 2025 to 2026.
Those three numbers don’t tell you what prices will do. What they do tell you is that intent is broadly constructive, and that tends to show up as competition for feed and cattle in a few predictable ways.
Why sentiment matters (even if you ignore the market)
Sentiment influences decisions that directly change demand for grass:
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Rebuilding mood usually means more holding, more retaining, and more “let’s grow into it”.
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Cautious mood usually means earlier selling, less buying, and more “protect the base”.
Those choices ripple into:
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Grazing pressure (who needs more feed, sooner)
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Fodder pressure (who locks in hay or grain early)
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Restocker behaviour (who chases weaners, PTIC females, or backgrounders)
The BPIS signals that plenty of producers are thinking about expanding, but a meaningful share will still be constrained by local season, cashflow, and risk tolerance.
What this can imply for grass demand (without making a prediction)
1) Competition for grazing tends to lift when confidence is high
When more producers are willing to carry extra mouths:
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“Spare” feed becomes valuable feed.
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Agistment gets tighter, earlier.
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Backgrounding opportunities get snapped up faster.
Practical implication: if you rely on agistment or bought feed to bridge gaps, the best time to line it up is usually before everyone else reaches for it.
2) Restockers tend to act sooner, not later
In rebuild phases, restockers often:
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Buy earlier to capture weight gain on grass
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Push harder for known lines (health, genetics, temperament)
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Prefer flexibility: cattle that can be turned off quickly if the season turns
Practical implication: if you’re buying, your edge is clarity on your feed position. If you’re selling, your edge is presenting cattle in a way that reduces buyer uncertainty.
3) “More cattle overall” can mean tighter feed even if rainfall is decent
A rising herd does not just soak up pasture. It also increases demand for:
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conserved fodder (hay/silage)
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supplements
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cropping by-products
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labour and infrastructure (watering points, fencing, laneways)
Practical implication: feed tightness can show up even in “good” seasons if stocking lifts faster than pasture growth.
Three scenarios to stress-test (use these like a feed budget, not a forecast)
Scenario A: The season holds, and rebuilding sticks
What you might see:
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stronger restocker competition
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agistment harder to secure
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more pressure on fodder supplies later in the season
What to do on farm:
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set conservative trigger points for buying feed
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protect ground cover (so you can keep growing grass)
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keep rotation discipline tight when growth surges, so quality doesn’t blow out
Scenario B: The season turns patchy, confidence meets reality
What you might see:
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earlier turn-off decisions
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more cattle pushed into the same selling window
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a scramble for fodder if people try to “feed through” rather than sell
What to do on farm:
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decide now what you’ll sell first if growth drops (and why)
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plan your “minimum pasture cover” limits
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keep weaning and joining plans flexible, so you can match feed supply
Scenario C: Mixed conditions (winners, losers, and freight)
What you might see:
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cattle moving across regions chasing grass
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localised feed pressure despite national optimism
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more interest in short-term grazing arrangements
What to do on farm:
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know your pasture growth trend, not just today’s cover
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be clear on what you can actually carry, and for how long
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document feed inventory and likely replenishment timing
What to watch next (your short list)
If you only track a few things over the next 1–3 months, make them these:
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Seasonal conditions: rainfall timing, pasture growth rates, and how quickly covers are recovering (or sliding)
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Feed inventories: what’s on hand (hay/silage/grain), what’s committed, and what it would cost to replace
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Yardings and sale flow: are volumes building earlier than usual, and are certain classes showing up more often?
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Replacement breeder decisions: heifer retention, pregnancy outcomes, and whether breeders are being held or sold
These four signals usually tell you more about upcoming grazing pressure than any single “market outlook”.
How to use this in your grazing plan (simple, actionable)
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Get clear on your feed position
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current pasture cover and growth trend
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stock demand over the next 30–90 days
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your “must not cross” pasture residual or minimum cover
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Set decision triggers
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“If growth drops below X for Y weeks, we do Z”
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“If covers fall below X, we sell class A before class B”
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“If fodder inventory falls below X weeks, we buy early or reduce mouths”
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Keep optionality
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avoid painting yourself into a corner with all mouths committed and no exit plan
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prefer decisions that preserve pasture first, because pasture is your compounding asset
- The Dedicated Team of Pasture.io, 2025-11-27