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20. Experimental Insight 2.1 describes data, collected by a genetics class like yours, on the numbers of kernels of different colors in bicolor corn. To test the hypothesis that the presence of kernels of different colors in each ear is the result of the segregation of two alleles of a single gene, the class counted 12,356 kernels and found that 9304 were yellow and 3052 were white. Use chi-square analysis to evaluate the fit between the segregation hypothesis and the class results. 21. The accompanying pedigree shows the inheritance of 

          20. Experimental Insight 2.1 describes data, collected by a genetics class like yours, on the
numbers of kernels of different colors in bicolor corn. To test the hypothesis that the
presence of kernels of different colors in each ear is the result of the segregation of two
alleles of a single gene, the class counted 12,356 kernels and found that 9304 were yellow
and 3052 were white. Use chi-square analysis to evaluate the fit between the segregation
hypothesis and the class results.
21. The accompanying pedigree shows the inheritance of
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20. Experimental Insight 2.1 describes data, collected by a genetics class like yours, on the numbers of kernels of different colors in bicolor corn. To test the hypothesis that the presence of kernels of different colors in each ear is the result of the segregation of two alleles of a single gene, the class counted 12,356 kernels and found that 9304 were yellow and 3052 were white. Use chi-square analysis to evaluate the fit between the segregation hypothesis and the class results. 21. The accompanying pedigree shows the inheritance of

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Biology for AP Courses
Biology for AP Courses
Julianne Zedalis, John Eggebrecht
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Experimental Insight 2.1 describes data, collected by a genetics class like yours, on the numbers of kernels of different colors in bicolor corn. To test the hypothesis that the presence of kernels of different colors in each ear is the result of the segregation of two alleles of a single gene, the class counted 12,356 kernels and found that 9304 were yellow and 3052 were white. Use chi-square analysis to evaluate the fit between the segregation hypothesis and the class results. 20. Experimental Insight 2.1 describes data, collected by a genetics class like yours, on the numbers of kernels of different colors in bicolor corn. To test the hypothesis that the presence of kernels of different colors in each ear is the result of the segregation of two alleles of a single gene, the class counted 12,356 kernels and found that 9304 were yellow and 3052 were white. Use chi-square analysis to evaluate the fit between the segregation hypothesis and the class results.
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Experimental Insight 2.1 describes data on the kernel color distribution of bicolor corn, collected by a genetics class like yours. To test the hypothesis that the kernel color of bicolor corn is the result of the segregation of two alleles at a single genetic locus, the class counted 12,356 kernels and found that 9304 were yellow and 3052 were white. Use chisquare analysis to evaluate the fit between the segregation hypothesis and the class results.

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Three different pure-breeding strains of corn that produce ears with white kernels were crossed to each other. In each case, the F1 plants all produced red kernels, while both red and white kernels were observed in the F2 generation in a 9:7 ratio. These results are summarized in the following table: F1 F2 white-1 ! white-2 red 9 red : 7 white white-1 ! white-3 red 9 red : 7 white white-2 ! white-3 red 9 red : 7 white a. How many genes are involved in determining kernel color in these three strains? Explain how you know this. b. Define your symbols and show the genotypes for the pure-breeding strains white-1, white-2, and white-3. No explanation is required for part b (you already explained your reasoning in part a). c. Diagram the cross between white-1 and white-2, showing the genotypes and phenotypes of the F1 and F2 progeny. Explain the observed 9:7 ratio.

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Transcript

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00:01 In this part, we have the experimental insight of 21 or 2 .1, which describes on the data or on the data on the kernel color distribution of color by color corn collected by a genetics class.
00:17 To test the hypothesis that the kernel color or bicolor corn is the result of the segregation of two alleles at a single genetic glucose, the class counted, which is there will be 9 ,882.
00:30 Kernels.
00:32 There is 7 ,506 very yellow and we have also 2 ,376 that is white.
00:44 When we are used kai square analysis, we need to evolve with the fit between the segregation hypothesis and the class results and we need to calculate the kai square value for these experiments and the segregation hypothesis gives a phenotypic we have the phenotypic ratio which is equal to three is to one so when we have yellow white and also the total so definitely we have the observe the expected observed minus expected and observed minus expected square divided by the expected so we have 7506 2 3776 for white 9 882 is the total and for the expected, we will have 7 .412 and 2474 for white.
01:41 And definitely we have 94 and negative 94...
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