· 4 min read
How to Track Milk Yield Per Animal
Heshan Fernando
Co-founder & COO
Cow 42 gave 27.4 litres today. Cow 17 gave 19.8. Which is the better animal?
Unanswerable without knowing how far into lactation each of them is. Cow 42 might be at peak, seven weeks after calving; cow 17 might be at 280 days and heading for dry-off. On that basis 17 is doing well.
Yield without days in milk is a number with no meaning.
The lactation curve
Milk production follows a predictable shape. It rises steeply after calving, peaks somewhere in the first two months, then declines gradually until dry-off.
Total lactation yield depends heavily on two things: how high the peak is, and how slowly production falls afterwards — persistency. An animal with a lower peak but flatter decline can out-produce one with a spectacular peak that drops away quickly.
Which means the useful comparison is between animals at similar days in milk, or against the same animal’s previous lactation at the same stage. Comparing raw daily figures across the herd tells you about lactation stage, not about the animals.
| Days in milk | Stage | What to compare against |
|---|---|---|
| 0-20 | Rising | Own previous lactation |
| 40-70 | Peak | Herd peak at same stage |
| 100-200 | Declining | Persistency, not absolute |
| 250+ | Late | Approaching dry-off |
Sudden drops are a health signal
The most practically valuable use of daily recording.
A gradual decline through lactation is normal. A sharp fall over two or three days is not, and it’s frequently the earliest observable sign of a problem:
Mastitis, often before clinical signs are obvious.
Lameness, which reduces feeding time before the limp is noticeable.
Feed or water problems — a blocked drinker, a change in silage, a ration mixing error. These usually show across several animals at once, which is itself diagnostic.
Heat stress, which shows herd-wide and correlates with the weather.
A drop affecting one animal points to that animal. A drop affecting many points at the feed, the water or the environment. That distinction alone justifies the recording.
What yield doesn’t tell you
Yield is one dimension. Composition matters too — fat and protein percentages affect the milk price under most payment systems, and a high-yielding animal with poor composition may be worth less than a moderate one with good.
Somatic cell count is the other routine measure, and it’s the one that speaks to udder health and, in many markets, to price penalties.
Yield recording is the foundation; a full picture needs composition and cell count alongside it.
Common mistakes to avoid
- Comparing raw yields across animals at different lactation stages.
- Recording only weekly, which misses the sudden drops that matter most.
- Reacting to a single low reading — one milking varies for many innocent reasons.
- Focusing on peak yield and ignoring persistency, which contributes more to the lactation total.
- Tracking yield and never tracking composition or cell count.
How to do it with Dairy Yield Tracker
The Dairy Yield Tracker records days in milk alongside every figure.
- Record yield per animal with days in milk — the second number is what makes the first meaningful.
- Compare each animal against the herd at the same stage, not the herd overall.
- Watch for sharp falls over a few days and investigate promptly.
- Note whether a drop affects one animal or many — that distinction points at the cause.
Other farm record tools are in the tools directory.
Frequently asked questions
Why record days in milk?
Because yield changes predictably through lactation. Comparing a freshly calved animal with one near dry-off tells you about lactation stage, not about the animals.
What does a sudden drop mean?
It’s one of the earliest signals of mastitis, lameness, a feed or water problem, or heat stress. A gradual decline is normal; a sharp fall over days is worth investigating the same week.
Is this a herd management system?
No. It’s a record-keeping surface for yield. Full herd management covers breeding, health treatments and regulatory records, and needs proper software.
Final thought
Record days in milk every time, and watch for the two-day drop. The first makes the data comparable; the second is where recording pays for itself.