Generation Genetic Gain

Compare absolute and compounded observed trait improvement per generation.

Description

Observed trait improvement across generations can be summarized as absolute gain or compounded change.

Observed trait improvement across generations can be summarized as absolute gain or compounded change. These use different units and interpretations.

Compare absolute and compounded observed trait improvement per generation.

When to use Generation Genetic Gain

Use this for the following task: Compare absolute and compounded observed trait improvement per generation.

Prepare the observed records or explicit model parameters requested below. Keep probabilities as fractions and paired records aligned.

How to use Generation Genetic Gain and understand its results

  1. Prepare the observed records or explicit model parameters requested below. Keep probabilities as fractions and paired records aligned.
  2. Enter initialTraitMean, currentTraitMean, elapsedGenerations using the field table, then run the tool.
  3. Read absoluteGainPerGeneration, compoundGainPercent. Interpret flags, units, ordering and placeholder values using the rules below.
  4. Review any reported issue or failed check, correct the supplied values when appropriate, and verify the result in its intended context.
Input fieldMeaningValue type and boundsRequirement
initialTraitMeanInitial trait meannumberRequired
currentTraitMeanCurrent trait meannumberRequired
elapsedGenerationsElapsed generationsintegerRequired

Require positive initial/current trait means and a positive integer generation count. Return signed average gains.1

absoluteGain=(current−initial)/generations; compound%=100[(current/initial)^(1/generations)−1]

This summarizes the declared operation. Units, indexing, inclusivity and exceptional cases are explained in the surrounding text.

Output fieldMeaningValue type
absoluteGainPerGenerationAbsolute gain per generationnumber
compoundGainPercentCompound gain percentnumber
json
{
  "input": {
    "initialTraitMean": 100,
    "currentTraitMean": 121,
    "elapsedGenerations": 2
  },
  "output": {
    "absoluteGainPerGeneration": 10.5,
    "compoundGainPercent": 10.000000000000009
  }
}

Limitations and assumptions

Observed change is not automatically caused by selection or genetics. Environmental shifts and uncertainty are not separated.

The tool evaluates supplied observations or a declared model. It does not establish the biological cause of an observed pattern. Malformed requests produce input errors. A successfully evaluated request can still contain false flags, empty result lists or a result outside the supplied threshold; those outcomes have the meanings stated above.

Alternative or Complementary methods

Choose Transgressive Offspring Screen for this operation: Identify offspring trait measurements outside the two-parent range. For a complementary task, use Additive Phenotype Class Count for this operation: Count equal-effect additive phenotype classes under a fully segregating diploid locus model.

The implementation reference documents the exact calculation, supported input shapes and returned fields.

References

  1. Generation Genetic Gain — tool.io

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