Heterozygosity Inbreeding Calculator: Calculate Hf from F and H₀


calculate heterozygosity using inbreeding coefficient


The proportion of heterozygotes in the non-inbred base population. Must be between 0 and 1.


The probability that two alleles are identical by descent. Must be between 0 and 1.


Expected Heterozygosity after Inbreeding (H_f)
Proportion of Heterozygosity Remaining (1 – F)
Reduction in Heterozygosity

Visualizing the Impact of Inbreeding

Chart comparing Initial Heterozygosity (H₀) to the Expected Heterozygosity (H_f) after inbreeding.

Impact of Different Inbreeding Levels

Inbreeding Coefficient (F) Expected Heterozygosity (H_f) % Reduction from Initial
Table showing the calculated heterozygosity (H_f) for a constant Initial Heterozygosity (H₀) at various levels of inbreeding (F).

What is Heterozygosity and the Inbreeding Coefficient?

Heterozygosity is a core concept in population genetics, representing the proportion of individuals in a population that have two different alleles for a particular gene. In simple terms, high heterozygosity means high genetic diversity, which is generally beneficial for a population’s health and ability to adapt. Low heterozygosity indicates a lack of genetic variation, often resulting from small population sizes or inbreeding.

The inbreeding coefficient (F) is a measure that quantifies the probability that two alleles in an individual are identical by descent. This means both alleles are direct copies of a single allele from a common ancestor. The value of F ranges from 0 (no inbreeding) to 1 (complete inbreeding). When you calculate heterozygosity using the inbreeding coefficient, you are predicting how much genetic diversity will be lost due to non-random mating.

The Formula to Calculate Heterozygosity with Inbreeding

The relationship between initial heterozygosity, inbreeding, and the resulting heterozygosity is described by a simple and powerful formula. The expected heterozygosity in an inbred population (H_f) is calculated based on the heterozygosity of the initial, non-inbred population (H₀) and the inbreeding coefficient (F).

H_f = H₀ * (1 – F)

Formula Variables

Variable Meaning Unit Typical Range
H_f Expected heterozygosity in the population after inbreeding. Unitless ratio 0 to 1
H₀ Initial heterozygosity in the base, randomly mating population. Unitless ratio 0 to 1
F The inbreeding coefficient. Unitless probability 0 to 1

Practical Examples

Example 1: Conservation of an Isolated Wolf Population

Imagine a small, isolated population of gray wolves where the initial heterozygosity (H₀) was measured to be 0.6. Due to the small population size, the inbreeding coefficient (F) is estimated to be 0.15 after several generations.

  • Inputs: H₀ = 0.6, F = 0.15
  • Calculation: H_f = 0.6 * (1 – 0.15) = 0.6 * 0.85 = 0.51
  • Result: The expected heterozygosity in the current wolf population is 0.51, a noticeable reduction from the original 0.6. This is crucial information for conservation efforts, perhaps suggesting the need to introduce new wolves to increase genetic diversity. For more information, see details on {related_keywords}.

Example 2: Self-Pollination in Plant Breeding

A plant breeder starts with a corn plant that has an initial heterozygosity (H₀) of 0.8 for a specific set of genes. The breeder performs self-pollination, which is the most extreme form of inbreeding where an individual mates with itself. For a single generation of self-pollination, the inbreeding coefficient (F) is 0.5.

  • Inputs: H₀ = 0.8, F = 0.5
  • Calculation: H_f = 0.8 * (1 – 0.5) = 0.8 * 0.5 = 0.4
  • Result: After just one generation of self-pollination, the heterozygosity is halved to 0.4. This demonstrates how quickly inbreeding can reduce genetic diversity and is a technique often used to create genetically uniform (homozygous) lines. Learn more about {related_keywords}.

How to Use This Heterozygosity Calculator

  1. Enter Initial Heterozygosity (H₀): Input the known or estimated heterozygosity of the original, non-inbred population. This value must be a decimal between 0 and 1.
  2. Enter Inbreeding Coefficient (F): Input the inbreeding coefficient for the population or individual. This must also be a decimal between 0 and 1.
  3. Review the Results: The calculator will instantly show you the ‘Expected Heterozygosity (H_f)’ after inbreeding. It also displays intermediate values like the proportion of heterozygosity remaining and the total reduction.
  4. Analyze the Chart and Table: Use the dynamic bar chart and the summary table to visualize how different levels of inbreeding affect genetic diversity based on your initial value.

Key Factors That Affect Heterozygosity

Several factors can influence the levels of genetic diversity in a population. To understand how to calculate heterozygosity using the inbreeding coefficient effectively, it’s important to consider these underlying forces.

  • Population Size: Small populations are more susceptible to genetic drift and inbreeding, which rapidly reduce heterozygosity.
  • Mating Systems: Non-random mating, such as self-fertilization in plants or mating between relatives, directly increases the inbreeding coefficient (F), thus decreasing heterozygosity.
  • Mutation: Mutation is the ultimate source of new genetic variation, and can introduce new alleles, slowly increasing heterozygosity over long periods.
  • Gene Flow (Migration): The movement of individuals between populations introduces new alleles and is a powerful force that can counteract the effects of inbreeding and increase heterozygosity. Check out our tools on {related_keywords}.
  • Natural Selection: Selection can either increase or decrease heterozygosity. For instance, balancing selection (like heterozygote advantage, seen in sickle-cell anemia) maintains diversity, while directional or purifying selection can remove alleles, reducing diversity.
  • Population Bottlenecks: Events that drastically reduce population size, like disease or natural disasters, can lead to a severe loss of heterozygosity that persists for many generations.

Frequently Asked Questions (FAQ)

What is considered a ‘high’ or ‘low’ level of heterozygosity?
This is highly species-dependent. Some species, like cheetahs, naturally have very low heterozygosity across their population, while others have much higher levels. The value is most useful when compared over time or between different populations of the same species.
Why does inbreeding reduce heterozygosity?
Inbreeding increases the chances that an offspring will inherit two copies of the same allele from a common ancestor. This directly increases the proportion of homozygotes (AA, aa) and decreases the proportion of heterozygotes (Aa) in the population.
Can the inbreeding coefficient (F) be greater than 1?
No, F is a probability and is bounded between 0 and 1. An F of 1 implies complete autozygosity, where all alleles at a locus are identical by descent.
How is the inbreeding coefficient (F) determined in practice?
It can be calculated from detailed pedigrees (family trees) or estimated from molecular genetic markers by comparing observed heterozygosity to expected heterozygosity under random mating.
Does inbreeding change allele frequencies?
No, inbreeding itself does not change the frequencies of alleles in the population. It only changes the genotype frequencies—repackaging the alleles into more homozygous genotypes.
What is the difference between H₀ and H_f?
H₀ is the starting point—the heterozygosity in a large, randomly mating population before the effects of inbreeding are considered. H_f is the predicted heterozygosity *after* a certain level of inbreeding (defined by F) has occurred.
Can this calculator be used for any species?
Yes. The mathematical relationship H_f = H₀ * (1 – F) is a fundamental principle of population genetics and applies universally to diploid organisms, from plants to animals to humans.
What is the practical importance of this calculation?
It is vital in conservation genetics to monitor the health of endangered species, in animal breeding to manage the effects of pedigreed mating, and in human genetics to understand the risk of certain genetic diseases. Explore more with a {related_keywords}.

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