Milk yield isn't constant across a cow's or buffalo's productive year — it peaks early in lactation and tapers off before the dry period. This calculator estimates your herd's total production and revenue across a full lactation cycle, accounting for the non-milking dry period so your annual projection isn't overstated.
Annual Milk Output = Number of Milking Animals × Average Milk per Animal per Day × (Lactation Length in Months × 30). Annual Revenue = Annual Milk Output × Selling Price per Liter. The dry period you enter is used to calculate the realistic calving interval and how many productive days you should expect per animal per year.
| Animal | Lactation Length | Dry Period | Avg Yield/Day |
|---|---|---|---|
| Dairy cow | 10 months | 2 months | 10-20 L |
| Buffalo | 8-9 months | 3-4 months | 8-14 L |
For 10 buffaloes averaging 11 liters/day over a 9-month lactation, at PKR 195/liter: Annual output = 10 × 11 × (9 × 30) = 29,700 liters. Annual revenue = 29,700 × 195 = PKR 5.79 million. Because buffaloes have a longer dry period than cows, factoring in the 3-4 month gap keeps your yearly cash-flow projection realistic instead of assuming milk income every single day of the year.
An animal produces zero milk during its dry period (typically 2 months for cows, 3-4 for buffaloes), so a herd's realistic annual output is always less than daily yield times 365. Ignoring the dry period can overstate expected revenue by 20-30%.
For crossbred dairy cows in Pakistan, 12-18 liters/day is a solid commercial target; for buffaloes, 8-12 liters/day is typical, with elite animals exceeding these figures under excellent nutrition and management.
A tighter calving interval (12-13 months) means more lactation cycles — and more total milk — over an animal's productive lifetime compared to a stretched-out 15-18 month interval, which is why breeding management is as important to output as feeding.
Run it once per animal type using each group's own average yield and lactation length, then add the two revenue figures together for an accurate combined total — mixing the averages directly would distort the result.