Eggs Per Gram Silkworm Seed
Estimate a seed-lot egg count using pooled tare-corrected count/mass samples; no fixed eggs-per-gram reference or hatchability assumption.
Description
A seed-lot count can be estimated from counted sample eggs per net sample mass.
A seed-lot count can be estimated from counted sample eggs per net sample mass. Container tare changes that calibration.
Estimate a seed-lot egg count using pooled tare-corrected count/mass samples; no fixed eggs-per-gram reference or hatchability assumption.
When to use Eggs Per Gram Silkworm Seed
Use this tool to estimate a seed-lot egg count using pooled tare-corrected count/mass samples; no fixed eggs-per-gram reference or hatchability assumption.
Prepare cocoon, larval, leaf or reeling measurements on a consistent batch and moisture basis. Use the declared mass, length and time units.
How to use Eggs Per Gram Silkworm Seed and understand its results
- Prepare cocoon, larval, leaf or reeling measurements on a consistent batch and moisture basis. Use the declared mass, length and time units.
- Enter sampleEggCounts, sampleGrossMassesGrams, sampleTaresGrams, seedLotNetMassGrams using the field table and calculation rules, then run the tool.
- Read calibratedEggsPerGram, estimatedLotEggCount. The explanation below defines the units, signs, ordering and any flags or placeholder values.
- If the tool reports an input issue, correct the values and run it again. Apply the stated assumptions when interpreting a successfully returned result.
| Input field | Meaning | Value type; see rules below | Requirement |
|---|---|---|---|
| sampleEggCounts | Sample egg counts | list of number | Required |
| sampleGrossMassesGrams | Sample gross masses grams | list of number | Required |
| sampleTaresGrams | Sample tares grams | list of number | Required |
| seedLotNetMassGrams | Seed lot net mass grams | number | Required |
Align nonnegative sample counts, gross and tare values, requiring each net sample mass positive and pooled eggs positive. Scale by nonnegative lot mass; retain a fractional estimate.1
Paired lists must be nonempty and have equal lengths.
eggs/g = Σ sample eggs/Σ(gross − tare); lot eggs = eggs/g × lot net grams Units, indexing, boundary conditions and exceptional cases are defined in the calculation rules above.
| Output field | Meaning | Value type |
|---|---|---|
| calibratedEggsPerGram | Calibrated eggs per gram | number |
| estimatedLotEggCount | Estimated lot egg count | number |
{
"input": {
"sampleEggCounts": [
100,
300
],
"sampleGrossMassesGrams": [
0.15,
0.35
],
"sampleTaresGrams": [
0.05,
0.05
],
"seedLotNetMassGrams": 10
},
"output": {
"calibratedEggsPerGram": 1000.0000000000001,
"estimatedLotEggCount": 10000.000000000002
}
}Limitations and assumptions
No fixed reference eggs/g or hatchability assumption is supplied.
Numbers and computed results must be finite; overflow produces an error. Numeric lists are limited to 100,000 entries; the rules above may require smaller limits. Missing required fields, extra fields, wrong value types and violations of the calculation rules are input errors.
Alternative or Complementary methods
Use Grainage Egg Sheet Density Count: Estimate grainage egg-sheet inventory from area-weighted quadrats while preserving local density-limit flags; quadrats must represent the usable sheet and no Poisson precision claim is made. For a complementary task, use Eggs Per Moth Count Average: Summarize measured individual silkmoth egg counts including sample variability and caller low-fecundity count; unlike cohort egg-production forecasts, this audits observed mothers.
References
-
Eggs Per Gram Silkworm Seed — tool.io
Similar or alternative tools
- Grainage Egg Sheet Density Count
Estimate grainage egg-sheet inventory from area-weighted quadrats while preserving local density-limit flags; quadrats must represent the usable sheet and no Poisson precision claim is made.
- Eggs Per Moth Count Average
Summarize measured individual silkmoth egg counts including sample variability and caller low-fecundity count; unlike cohort egg-production forecasts, this audits observed mothers.