study guide 6 Flashcards
(30 cards)
what are “quantitative/complex” traits
traits that can be described numerically and are controlled by more than one gene and are significantly influenced by the environment
give an example of a quantitative trait
weight, height, metabolic rate
why is it important to study quantitative traits
these traits are important for plant and animal breeders and many human diseases are also controlled by several genes. Additionally, many traits allow a species to adapt to its environemtn due to the quantitative traits
whats the difference between continuous and discontinous traits
quantitative traits show a continuum of variation within a group so they are continous
what does a frequency distribution graph look like
a normal distribution with the traits of interest varying symmetrically around the mean.
if a frequency distribution graph has a wider base, wht does this mean
it means that the population has more variation
what is heritibility
the amount of phenotypic variation within a group that is due to genetic variation
what is the difference between broad sense and narrow sense heritibility
broad sense heritibility is a measure of the phenotypic variation due to the total genetic variation
narrow sense heritibility is a meausre of phenotypic variation due to the additive effect of alleles
why do we measure narrow sense heritibility
it only focuses on the additive effects of alleles as the allelic variations due to dominant/recessive patterns and epistatic interactions is difficult to measure
how do we measure broad sense heritability based on the results of a clonal transplant experiment
the variation due to genetics is 0, zo the total variation is equal to the variation from the environment, this can be used to find the VG for the heterogenous populations and used to calculate the heritability Vg/VP
what does a broad sense heritability y value of 1 mean
it means all variation is due to genetics
what does a broad sense heritability value of 0 mean
all variation is due to the environment
what does the correlation coefficient (r) measure
it measures how well the variation in one group can predict the variation in another group
what does a correlation coefficent of 1 or -1 indicate?
a coefficient of 1 indicates a positive linear relationship (as one goes up the other goes up)
a coefficient of -1 indicates a negative linear relationship (as one downs up the other goes down)
how is the correlation coefficient used to measure narrow sense heritability
r observed/ r expected
what does it mean if the narrow sense heritability is close to 1?
it means a majority of the variation is due to the additive effects of alleles
what are we assuming when we measure narrow sense heritability
we assume that the majority of genetic variation in the population is due to alleles that have additive effects
what is measured by the correlation coefficient
the degree to which the variation in one group predicts the variation in another
what is the expected phenotypic correlation value between parent-offspring, assuming that variation is due to genetics alone
the expected correlation is 0.5 since offspring inherit 1/2 of their DNA/ alleles from their parents
if the narrow sense heritability is close to one, what does this mean
it means that a majority of the variation is due to the additive effect of alleles
how is linear regression analysis between parent-offspring used to estimate narrow sense heritability
the slope of the line
what does linear regression show
it shows the relationship between variables and whether or not a change in x results in a change in y (dependent variable)
what does the slope of the line tell us
it tells us the expected proportion of the offsprings trait value that can be explained by the genetic factors passed down from their parents
how is the correlation coefficient different from the slope of a linear regression line
the correlation coefficient measures the strength and direction of the relationship between two variable and it is a unitless measurement
the slope of the regression line indicates the average change in the dependent variable for a one-unit change in the independent variable
it is scaled to the units of the variables