ToolsConductScience tool
AquacultureFree in-browser calculator

Stocking Requirement Calculator.

Calculate how many fingerlings to stock to reach your target harvest biomass, accounting for expected mortality.

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Validated2026-04-08
CitableMethods and citation included

Calculator

Results update in place

Try it out

Load example stocking requirement calculator data to see the full workflow

Stocking Parameters

10%50%75%100%

Results

Fingerlings Needed
2,500
to stock
Target Biomass
1,000 kg
at harvest
Stocking Weight
1250.0 kg
total fry weight
Survival
80%
expected

When to use

  • Pre-cycle stocking planning
  • Ordering fingerlings from hatcheries
  • Comparing stocking scenarios at different survival rates
  • Budget planning for fingerling costs

Do not use for

  • Without adjusting survival rate for your specific conditions — defaults are averages only

Survival varies by stage

Fry-to-fingerling survival (first 30 days) is much lower than fingerling-to-harvest. Use stage-appropriate survival estimates.

Density limits

Stocking more fish to compensate for mortality may exceed density limits. Always cross-check with stocking density guidelines.

1

Method

Fingerlings needed = target count at harvest / (survival% / 100). Target count = target biomass (kg) / individual weight (kg). Stocking weight = fingerlings ×\times avg fry weight.

2

Validated

Last validated 2026-04-08. Calculations are designed for planning and documentation support; verify procurement decisions against manufacturer specifications or institutional SOPs.

3

How to cite

How to Cite

ConductScience Stocking Requirement Calculator (v1.0). ConductScience, Inc. 2026. Available at: https://conductscience.com/tools/stocking-requirement-calculator

FAO. Aquaculture Feed and Fertilizer Resources Information System. 2020.

Stocking Calculations in Aquaculture

Stocking the correct number of fingerlings is critical for meeting production targets. Under-stocking wastes tank capacity; over-stocking wastes fingerling cost and may exceed density limits. The key variable is expected survival rate — which determines how many extra fish must be stocked to reach the target harvest count after accounting for mortality.

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