In: Biology
Using the same example in the book, work the Hardy-Weinberg Equation for the following The sample size is 3200 plants. Keep in mind, flowering plants are diploid. (6 Pts.)
There are:
1980 Blue flowers 1000 Teal flowers 220 Green flowers
What does this all mean? What are the numbers doing for you?
Blue = TT = 1980
Teal = Tt = 1000
Green = tt = 220
Total T alleles = 2*1980+1000 = 4960
Total t alleles = 2*220+1000 = 1440
Total alleles = 70+90 = 56400
Frequency of dominant allele = p(T) = 4960/6400 = 0.775
Frequency of recessive allele = p(t) = 1440/6400 =0.225
p^2 = 0.775*0.775 = 0.601
2pq = 2* 0.775*0.225 =0.349
q^2 = 0.225*0.225 = 0.050
Expected values:
TT = 0.601*3200 = 1923
Tt = 0.349*3200 = 1116.8
tt = 0.050*3200 = 160
Phenotype |
Observed(O) |
Expected (E) |
O-E |
(O-E)2 |
(O-E)2/E |
TT |
1980 |
1923.2 |
56.8 |
3226.2400 |
1.6775 |
Tt |
1000 |
1116.8 |
-116.8 |
13642.2400 |
12.2155 |
tt |
220 |
160 |
60 |
3600.0000 |
22.5000 |
Total |
3200 |
3200 |
36.3930 |
Chi-square value = 36.39
Degrees of freedom = number of genotype – 1
Df = 3-1=2
Ther critical X^2 value is 5.99
The X^2 value of 36.39 is greater than the critical value of 5.99. So we can reject the null hypothesis. The observed values are not consistent with the expected values and the population is not in Hardy-weinberg equilibrium