Term
|
Definition
Traits or Characters that are affected by one or few genes, and follow a discontinuous variation. |
|
|
Term
|
Definition
-discontinuous traits -quantitative traits |
|
|
Term
distribution of genotypes is affected by... |
|
Definition
the number of genes involved |
|
|
Term
what happens as the number of genes affecting a trait increases? |
|
Definition
the transition between each genotypic class becomes less distinct, such that it resembles a bell curve, known as normal distriibution |
|
|
Term
|
Definition
Traits that are affected by many genes, and exhibit continuous variation |
|
|
Term
some examples of quantitative traits |
|
Definition
-growth -egg weight -breast meat yield |
|
|
Term
Quantitative traits are... |
|
Definition
|
|
Term
|
Definition
traits affected by many genes |
|
|
Term
other than each other, what do alleles interact with to produce traits? |
|
Definition
|
|
Term
The analysis of a quantitative trait starts by... |
|
Definition
describing the phenotype of a given trait in a population |
|
|
Term
the distribution most quantitative traits follow |
|
Definition
|
|
Term
the statistical parameters that govern normal distribution |
|
Definition
|
|
Term
standard normal distribution |
|
Definition
A normal distribution with a mean of zero and a variance of 1 |
|
|
Term
amount of population within 1 standard deviation of the mean in a standard normal distribution (μ – 1σ and μ + 1σ) |
|
Definition
|
|
Term
amount of population within 2 standard deviation of the mean in a standard normal distribution (μ – 2σ and μ + 2σ) |
|
Definition
|
|
Term
amount of population within 3 standard deviation of the mean in a standard normal distribution (μ – 3σ and μ + 3σ) |
|
Definition
|
|
Term
how to calculate proportions of a normal distribution |
|
Definition
Z = (Xi - μ) / σ
then find probability of it on the Z score table |
|
|
Term
symbols for mean, variance, and standard deviation for population and sample |
|
Definition
|
|
Term
|
Definition
|
|
Term
|
Definition
|
|
Term
|
Definition
|
|
Term
|
Definition
|
|
Term
|
Definition
population standard deviation |
|
|
Term
|
Definition
sample standard deviation |
|
|
Term
|
Definition
|
|
Term
|
Definition
Mean = x̄ = (ΣX) / n
x̄ = mean phenotypic value of the sample
Xi = the ith phenotypic value
Σ = the summation sign |
|
|
Term
|
Definition
in the breeding context, this refers to differences among individuals in a population |
|
|
Term
Variation is the source of... |
|
Definition
|
|
Term
the raw material for geneticists |
|
Definition
|
|
Term
The most commonly used measures for variation |
|
Definition
-variance -standard deviation |
|
|
Term
Variation is measured by... |
|
Definition
variance or standard deviation |
|
|
Term
how to calculate variance |
|
Definition
σ2 = Σ(Xi - μ)2 / N
N = number of individuals in that population |
|
|
Term
the best estimate of population variance |
|
Definition
|
|
Term
how to calculate sample variance |
|
Definition
S2 = Σ(Xi - x̄)2 / (n - 1)
or
S2 = (ΣXi2 - ((ΣXi)2 / n)) / (n - 1) |
|
|
Term
how to calculate standard deviation |
|
Definition
|
|
Term
|
Definition
Y increases as X increases |
|
|
Term
|
Definition
Y decreases as X increases |
|
|
Term
|
Definition
Y stays the same as X increases or decreases |
|
|
Term
3 basic concepts of covariation |
|
Definition
1.The direction or sign of the relationship, i.e. whether the relationship is positive, negative or non-existence. 2.The strength of the relationship. 3.The amount of change in one variable that can be expected for a given amount of change in another variable. |
|
|
Term
|
Definition
1. Covariance 2. Correlation 3. Regression |
|
|
Term
|
Definition
the average product of deviation from the means of two variables |
|
|
Term
how to calculate covariance |
|
Definition
Cov(X,Y) = (Σ(XiYi - n *X̄*Ȳ)) / (n-1) |
|
|
Term
|
Definition
a measure of the degree of the relationship between two variables; indicates relationship and strength of it |
|
|
Term
how to calculate linear corelation |
|
Definition
rxy = (Cov(x,y)) / (sx * sy)
rxy = ryx |
|
|
Term
The simplest functional relationship of one variable to another |
|
Definition
the simple linear regression |
|
|
Term
|
Definition
the quantitative change in one variable that can be expected for a unit change in another variable |
|
|
Term
the variables involved in linear correlation |
|
Definition
-dependent variable -independent variable |
|
|
Term
relationship between dependent and independent variable |
|
Definition
the magnitude of the dependent variable is determined by the magnitude of the independent variable |
|
|
Term
the relationship between dependent and independent variables if they're linearly related |
|
Definition
Y = a + byxX
this is Y on X, i.e. byx ≠ bxy
Y = the dependent variable
X = the independent variable
b = regression coefficient
a = point of intersection (the value of Y when X =0) |
|
|
Term
linear regression on a graph |
|
Definition
|
|
Term
how to calculate regression variable |
|
Definition
byx = (Cov(X,Y)) / (Var(X))
bxy = (Cov(X,Y)) / (Var(Y))
byx ≠ bxy |
|
|
Term
The most important question about quantitative traits |
|
Definition
whether or not genes influence the observed variation in the trait |
|
|
Term
|
Definition
comprises of the individual’s genetic value and influences from the environment |
|
|
Term
|
Definition
all non-genetic influences (diet, housing, disease, management) |
|
|
Term
some types of environmental factors |
|
Definition
-diet -housing -disease -management |
|
|
Term
how to calculate phenotype value (P)
equation for phenotype (P), genotype (G), and environment (E) |
|
Definition
Phenotype (P) = Genotype (G) + Environment (E)
phenotype (P) = Allele value (A) + Dominance (D) + Epistasis (I) + environment (E) |
|
|
Term
the basis for genetic improvement |
|
Definition
differences in genetic values |
|
|
Term
why the genetic worth of an individual cannot be judged from the phenotypic value |
|
Definition
because phenotypic and genotypic ranking could be different |
|
|
Term
variation is expressed as... |
|
Definition
Variance
phenotype (P) = genotype (G) + environment (E) |
|
|
Term
how to calculate genotypic value |
|
Definition
Genotype (G) = Allele value (A) + Dominance (D) + Epistasis (I) |
|
|
Term
|
Definition
|
|
Term
|
Definition
|
|
Term
|
Definition
|
|
Term
|
Definition
|
|
Term
|
Definition
|
|
Term
|
Definition
|
|
Term
variance components and their symbols |
|
Definition
|
|
Term
|
Definition
The total variance is the variation in the performance for a trait between individuals in a population. |
|
|
Term
|
Definition
The variance in the genotypic values for a trait. The genotypic value is the combined effect of... (1) all the alleles at all loci (2) intra-loci interactions (3) inter loci interactions that affect a trait. |
|
|
Term
Additive Genetic variance, VA |
|
Definition
The variation among alleles transmitted from parents to offspring that affect a trait. The sum of the effect of alleles transmitted from a parent to its offspring for a trait is the Breeding Value (BV) of the parent for that particular trait. |
|
|
Term
|
Definition
The sum of the effect of alleles transmitted from a parent to its offspring for a trait |
|
|
Term
Dominance Genetic Variance, VD |
|
Definition
Genetic variation that occurs as a result of interaction among alleles at a locus. This effect is not accounted for by the effect of two alleles taken singly. For example, assuming the value of A1 is 2, and value of A2 is 3, however the value of the two alleles combined, A1A2 is 7. The dominance deviation in this case is 7 - (2+3) = 2. The combined effect of the two alleles is not additive. The dominance genetic variance measures the non-additive effect between alleles at a locus. |
|
|
Term
Epistasis Genetic Variance, VI |
|
Definition
Genetic variation that occurs as a result of interaction among alleles at different loci. This is also the non-additive effect between genes at different loci. |
|
|
Term
“Non-additive genetic variance” |
|
Definition
dominance and epistasis genetic variations.
non-additive = VD + VI |
|
|
Term
Environmental Variation, VE |
|
Definition
Variation in a trait among animals in a population caused by non-genetic factors, e.g... -housing -feed -temperature -disease -activity -etc. |
|
|
Term
The source of variation in a phenotypic value of a trait can be due to... |
|
Definition
1: genotypic variation 2: environmental variation |
|
|
Term
some types of genotypic variation |
|
Definition
1: additive genetic variation 2: non-additive genetic variation |
|
|
Term
types of non-additive genetic variation |
|
Definition
|
|
Term
heritability in the broad sense |
|
Definition
the extent to which an individual’s phenotype is due to its genotype |
|
|
Term
how to calculate heritability in the broad sense (H2) |
|
Definition
H2 = VG / VP
or
H2 = (VA + VD + VI) / (VA + VD + VI + VE) |
|
|
Term
|
Definition
heritability in the broad sense |
|
|
Term
heritability in the broad sense reflects the importance of heredity due to... |
|
Definition
(1) transmission of alleles from parents (2) dominance deviations created at all loci during the formation of zygotes (3) Epistasis deviations created across all loci in the formation of zygotes, in determining phenotypic values |
|
|
Term
when Dominance and Epistasis deviations are reconstituted |
|
Definition
any time a zygote (an individual) is formed and therefore create noise in determining the direct influence of allele values in determining phenotypic values |
|
|
Term
heritability in the narrow sense (h2), or just heritability |
|
Definition
the extent to which phenotype is determined by alleles transmitted from parents to offspring |
|
|
Term
how to calculate heritability in the broad sense (h2) |
|
Definition
h2 = VA / VP
or
h2 = VA / (VA + VD + VI + VE) |
|
|
Term
|
Definition
heritability in the narrow sense |
|
|
Term
why heritability is important in breeding programs |
|
Definition
because it determines the degree of resemblance between relatives |
|
|
Term
how to calculate Genotypic variance, VG |
|
Definition
|
|
Term
how to calculate Phenotypic variance, VP |
|
Definition
|
|
Term
An alternative meaning of heritability |
|
Definition
the regression of allelic value on phenotypic value |
|
|
Term
how to calculate linear regression (bOP) on 1 parent |
|
Definition
|
|
Term
how to calculate heritability (h2) on 1 parent |
|
Definition
h2 = 2 bOP
h2 = bAP = ((Cov(A,P)) / VP) |
|
|
Term
how to calculate Additive Genetic variance (VA) on 1 parent |
|
Definition
|
|
Term
how to calculate covariance (Cov (O,P)) on 1 parent |
|
Definition
|
|
Term
relationship between heritability (h2), linear regression (bOP), and covariance (Cov (O,P)) |
|
Definition
h2 = 2 bOP = ((Cov(O,P)) / VP) = ((1/2 * VA) / VP)
VA = 2 (Cov, OP) |
|
|
Term
|
Definition
the genetic merit of an animal for a given trait. BV is expressed as a deviation from the mean genetic merit of the trait within a defined population |
|
|
Term
The genotype of an individual consists of... |
|
Definition
(1) allelic values (2) dominance values (3) epistastic values |
|
|
Term
how to calculate an animal's transmitting ability (TA) |
|
Definition
TA = 1/2 * EBV
EBV = expected breeding value |
|
|
Term
how to calculate breeding value (BV) |
|
Definition
BV = h2p
BV = 2 * (P - [P-bar]) |
|
|
Term
how to calculate expected breeding value (EBV) |
|
Definition
EBV = h2 * (P - [P-bar])
EBV = ((nh2) / (1 + (n - 1)re)) * (P - [P-bar])
EBV = ((ngh2) / (1 + (n - 1)t)) * (P - [P-bar])
g = genetic relationship (1/2 for full siblings and 1/4 for half siblings) |
|
|
Term
how to calculate accuracy (ACC) of EBV |
|
Definition
Acc = √(h2 * g)
Acc = √((((nh2) / (1 + (n - 1)re))) * g)
Acc = √((((ngh2) / (1 + (n - 1)t))) * g)
g = genetic relationship (1/2 for full siblings and 1/4 for half siblings) |
|
|
Term
|
Definition
a measure of the reliability or strength of the relationship between repeated measurements on an individual |
|
|
Term
|
Definition
bAP = ((Cov(A,P)) / VP)
bAP = (nh2) / (1 + (n - 1)re) |
|
|
Term
genetic relationship between full siblings (FS) |
|
Definition
|
|
Term
genetic relationship between half siblings (HS) |
|
Definition
|
|
Term
similarity among full siblings (t) |
|
Definition
tFS = (1/2 * h2) + c2FS
c2 = environmental correlation among siblings |
|
|
Term
similarity among half siblings (t) |
|
Definition
tHS = (1/4 * h2) + c2HS
c2 = environmental correlation among siblings |
|
|