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Using probabilities
It can be used to predict phenotypic ratios in dihybrid crosses and to predict gamete combinations
Predicting the phenotypic traits
You combine the probabilities for each trait to get the phenotypic ratio using the product rule and fork diagrams
What happens once we have the predicted gamete genotypes
We can set up a punnett square to perform the cross
Punnett squares
1.) It helps us summarize genotypic frequencies and genotypes
2.) It can also translate genotypes into phenotypes to get the phenotypic ratio
Inheritance of two genes on separate chromosomes or very apart on the same chromosome
The probability of them being inherited together is low
What two things are evidence of independent assortment
1.) Gamete ratio —> 1:1:1:1
2.) Phenotypic ratio —> 9:3:3:1
Punnett squares vs. fork diagrams
1.) Punnett squares are good for monohybrid, dihybrid, and sometimes trihybrid crosses
2.) Fork diagrams are more efficient when using increasing numbers of traits
Determining whether to use punnett squares or fork diagrams
1.) n = number of genes with 2 alleles
2.) 2n = The number of phenotypes
3.) 3n = The number of genotypes
Probability
The proportion of times a particular event/outcome is expected to occur
ex.) p(Heads) = 1/2
Independence
The probability of an outcome that does not depend on the outcome of another or previous outcome
ex.) p(Heads) is independent from the p(Heads) of the next toss
Product rule
Probability that 2 independent outcomes will BOTH occur (do this by multiplying the separate probabilities)
Sum rule
The probability that either one OR the other of two independent outcomes will occur, therefore making them mutually exclusive (usually do this by adding their individual probabilities)
Mutually exclusive
It means that you can’t have one if you have the other
Key words to know when you use the sum rule
1.) Either or
2.) No more than
3.) At least
Assuming independent assortment of genes when calculating the probability of getting a specific genotype
You can do separate monohybrids for each gene that encodes the trait
Conditional probabilities
Probability prediction that is dependent on another previous event that has taken place
Example of conditional probability
What is the probability that F2 yellow-seeded progeny plants are heterozygous like their parents
Binomial probability
It simplifies the use of BOTH the product and sum rules in cases where there are multiple outcomes/events