To calculate the predicted percentage of phenotypes for a genetic trait such as fur color, we typically need to determine the expected distribution of those phenotypes. Let’s assume that we have a population of animals and we know their genetic constitution.
For the purpose of this example, let's consider simple Mendelian genetics involving one gene with two alleles, where Black fur (B) is dominant over White fur (b).
A Punnett square can help us visualize the genotypic distribution:
- BB: Homozygous dominant, Black Fur
- Bb: Heterozygous, Black Fur
- bb: Homozygous recessive, White Fur
Interpreting the results requires us to count the number of individuals who will express each phenotype based on our genetic crosses. For simplicity, let's assume the population is large enough so that the law of large numbers smooths out the random variation:
If we have a heterozygous Bb x Bb cross, the Punnett square would predict:
- 25% BB (Black Fur)
- 50% Bb (Black Fur)
- 25% bb (White Fur)
Thus, the predicted phenotypic distribution is:
- Black Fur: [tex]\( BB + Bb = 25\% + 50\% = 75\% \)[/tex]
- White Fur: [tex]\( bb = 25\% \)[/tex]
Therefore, in terms of predicted percentages:
- Predicted percentage for Black Fur is 75%
- Predicted percentage for White Fur is 25%
In a simulated experiment, these percentages can vary due to sample size and random variation, but they give us the expected baseline for comparison.
