Dihybrid Cross Calculator

Calculate offspring genotype and phenotype ratios for a dihybrid cross using a Punnett square.

Optional trait labels

What Is a Dihybrid Cross?

A dihybrid cross examines the inheritance of two distinct traits simultaneously. Each trait is controlled by a separate gene, and each gene has two alleles. This type of genetic cross was famously studied by Gregor Mendel, who observed how traits like seed shape and seed color in pea plants are inherited independently of one another.

The classic dihybrid cross involves parents that are heterozygous for both traits (genotype AaBb). When these parents are crossed, the offspring display a characteristic 9:3:3:1 phenotypic ratio, assuming the genes are unlinked and assort independently.

How the Dihybrid Cross Calculator Works

This calculator uses a 4x4 Punnett square to predict the genotypic and phenotypic outcomes of a dihybrid cross. You input the genotypes of both parents for two traits. The tool then generates all possible gamete combinations and fills the Punnett square accordingly.

The underlying genetic principles are:

For a dihybrid cross between two AaBb parents, the gamete combinations are AB, Ab, aB, and ab. The Punnett square combines these to produce 16 possible offspring genotypes.

How to Use the Calculator

  1. Select the genotype for Parent 1 for Trait 1 and Trait 2 (e.g., AA, Aa, or aa for each).
  2. Select the genotype for Parent 2 for Trait 1 and Trait 2.
  3. Click the calculate button to generate the Punnett square and results.
  4. Review the genotype and phenotype ratios displayed in the output.

Example: AaBb × AaBb Cross

Consider a cross between two pea plants that are heterozygous for both seed shape (R = round, r = wrinkled) and seed color (Y = yellow, y = green). Both parents have the genotype RrYy.

The possible gametes from each parent are RY, Ry, rY, and ry. The Punnett square produces 16 combinations with the following phenotypic ratio:

This 9:3:3:1 ratio is the hallmark of a dihybrid cross with independent assortment and complete dominance.

Understanding the Results

The calculator displays both genotype and phenotype ratios. The genotype ratio shows the frequency of each unique genetic combination (e.g., AABB, AABb, AAbb, etc.). The phenotype ratio shows the observable trait combinations based on dominant and recessive allele relationships.

If the genes are linked (located close together on the same chromosome), the observed ratios will deviate from the expected 9:3:3:1. This calculator assumes independent assortment, so results are theoretical predictions.

Common Mistakes to Avoid

Practical Use Cases

Limitations

This calculator assumes complete dominance, independent assortment, and no gene interactions. It does not account for incomplete dominance, codominance, epistasis, or linked genes. For crosses involving these phenomena, more advanced genetic models are required.

FAQ

What is the difference between a monohybrid and dihybrid cross?

A monohybrid cross tracks the inheritance of a single trait, while a dihybrid cross tracks two traits simultaneously. The dihybrid cross produces a 9:3:3:1 phenotypic ratio in the F2 generation, compared to the 3:1 ratio seen in a monohybrid cross.

What does a 9:3:3:1 ratio mean?

The 9:3:3:1 ratio represents the expected phenotypic distribution in offspring from a dihybrid cross between two heterozygous parents. It indicates that 9/16 of offspring show both dominant traits, 3/16 show the first dominant and second recessive, 3/16 show the first recessive and second dominant, and 1/16 show both recessive traits.

Can this calculator handle linked genes?

No. This calculator assumes independent assortment. If genes are linked, the observed ratios will differ from the predicted 9:3:3:1. For linked genes, you would need a different calculation that accounts for recombination frequency.

What if my cross doesn't produce a 9:3:3:1 ratio?

Deviations from the 9:3:3:1 ratio can occur due to gene linkage, epistasis, incomplete dominance, codominance, or lethal alleles. If your experimental results differ significantly, consider whether one of these factors is at play.