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A botanist used a Punnett Square to calculate the percentage of phenotypes they should see in their latest generation of flowers. Their predictions estimated that 75% of their crop should have the dominant phenotype and 25% should have the recessive. However when they check their plants, they find that only 50% had the dominant and 50% had the recessive. What could be the reason for this?

User Nramirez
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Answer:

The reason for the discrepancy between the Punnett Square predictions and the actual results could be due to the presence of genetic linkage, which is when two or more genes that are located close to each other on the same chromosome tend to be inherited together more often than expected by chance. Another possibility is that the plants were not randomly mating, which would alter the expected ratio of genotypes and phenotypes. Finally, mutation could also be the cause, as it can lead to new genetic variants that were not accounted for in the Punnett Square predictions.

Step-by-step explanation:

There could be a few reasons why the botanist's predictions did not match the actual results:

Environmental factors: Environmental factors such as temperature, light, or disease can influence the expression of certain genes and affect the phenotype of the flowers.

Genetic drift: Genetic drift is a random fluctuation in allele frequencies that can occur in small populations. This can cause a deviation from the expected Mendelian ratios.

Mutation: Mutation is a change in the DNA sequence that can result in a new allele, which can affect the phenotype of the flowers.

Non-Mendelian inheritance: Some genes exhibit non-Mendelian patterns of inheritance such as incomplete dominance, codominance, or epistasis, which can affect the phenotype of the flowers.

Sampling error: The botanist might have taken a small sample of flowers for observation, and the sample might not be representative of the whole population, leading to different results than expected.

It is important to consider that genetic factors are complex and can be influenced by various factors, and the exact cause of the discrepancy between the predictions and the actual results would require further investigation.

User Alexey Demin
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