Question at position 13 Use the data on white flowering plants (FWFW) from Generation 1 to calculate the expected frequencies of the FW allele (q). (Answer must be in decimal notation, to the hundredths place.)AnswerUse the data on white flowering plants (FWFW) from Generation 1 to calculate the expected frequencies of the FW allele (q). (Answer must be in decimal notation, to the hundredths place.)[input]BlackTom题目解析

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BlackTom AI · Accepted Answer

To tackle this question, we start by identifying what FW stands for and what FWFW represents. FWFW is the homozygous genotype for the FW allele (both alleles are FW). In a population-genetics context, the frequency of FWFW individuals in generation 1 equals the square of the FW allele frequency, i.e., f(FWFW) = q^2, where q is the frequency of the FW allele.

Step 1: Determine the frequency of FWFW in Generation 1. This requires counting how many individuals are FWFW and dividing by the total number of individuals examined in Generation 1. The result is f_FWFW, the observed proportion of FWFW plants.

Step 2: Compute q from f_FWFW. Since f_FWFW = q^2, take the square root: q = sqrt(f_FWFW). This yields the FW allele frequency as a decimal.

Step 3: Interpret the given answer. If the problem’s supplied answer is 0.54 for q, that implies f_FWFW = q^2 = 0.54^2 = 0.2916. In other words, about 29.16% of Generation 1 individuals would be FWFW under Hardy-Weinberg assumptions.

Note on data requirements and context:
- The calculation hinges on the accurate count of FWFW individuals in Generation 1; without the actual counts or proportions, you cannot independently verify q.
- The method assumes Hardy-Weinberg equilibrium when relating genotype frequencies to allele frequencies, unless the prompt specifies a different model or population structure.
- Since the prompt asks for q in decimal notation to the hundredths place, you would round sqrt(f_FWFW) to two decimals after computing.

If the provided data showed f_FWFW = 0.2916, then q = sqrt(0.2916) = 0.54, matching the given answer. If the data differed, you would adjust by computing sqrt of the observed FWFW frequency and rounding to two decimals accordingly.

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