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Why do we care about animals genetic relationships? 4 things
Will help to predict breeding values of selection candidates (young animals) by utilizing performance of its relatives to improve accuracy of Estimated breeding values (2 Predicted transmitted Ability (PTA) and 2 expected progeny difference)
Best linear unbiased prediction (BLUP) method
To avoid the effect of high level of inbreeding
To explore heterosis, or hybrid vigor non-additive effects due to combo of gene alleles and genes
To optimize genetic diversity in small population
Polygenic effect/animals Effect: created using?
Factors affecting milk yield + a(animals effect) + error + micro = phenotypes
Animals effect created using genetic relationship model - form EBVs and additive genetic variance (o²A)
EBVs are predictions
Interbreeding: what is it? Consequences?
o The mating of relatives
o Matings individuals that are closer in genetic relationship than the average of relationships of the population
ļ§ Consequences
⢠Increases homozygosity,
⢠Increases expression of deleterious recessive alleles
⢠Inbreeding depression (i.e low performance)
Inbreeding coefficient (Fx): Measure of? Defined as? Range? F =?
⢠A measure of the level of inbreeding of an individual (e.g. x)
ļ§ Defined as the probability that both gene alleles (or a pair alleles of a gene) in an individual are identical by descent (IBD).
OR the probable proportion of an individualās loci containing alleles that are identical by descent.
ļ§ Ranges from 0 (i.e. no inbreeding) to 1 (i.e. maximally inbred).
ļ§ F stands for fixation index, because of the increase in homozygosity, or fixing

Wrightās coefficient of relationship (Rxy): measure of? Defined as? Range? What does it mean if R=r
ļ§ a measure of the pedigree relationship
ļ§ Defined as the proportion of one individualās Alleles (genes) that are identical by descent to Alleles(genes) of a second individual.
OR
It is the correlation between breeding values of two individuals due to pedigree relationship alone.
ļ§ Ranges from 0 (completely unrelated) to 1 (identical twin)
If R=r then there is noo genetic relationship and individual is not inbred
True or False: Wright coefficient is more accurate than numerator because it accounts for breeding values
True
3 methods of calculating interbreeding and relationship coefficients?
1) The Path Method (not much used)
2) The Tabular Method
3) Genomic relationship Matrix based on
DNA markers
The Tabular Method to calculate the numerator relationship between individuals X and Y Rules to calculate numerator relationship (1-4_

Steps: for calculating Animal relationship coefficients (1-8)
1. Order all animals by birth date, earliest to latest. Make sure no offspring comes before its parents.
2. Create a square table listing all animals in order across the top and again down the side
3. Write the parents of each animal above it at the top of the table. If the parent is unknown, write a blank ( _ ).
4. Proceed from left to right and fill in the first row of numerator relationships.
5. Copy the values in the first row of the table to the first column of the table
6. Fill in the next row of numerator relationships. Use rule 1 for off-diagonal elements and rules 2 and 3 for diagonal elements.
7. Copy the values from this row into the corresponding column
8. Repeat steps 6 and 7 until the table is complete
Tabular Method: Sort left to right by? fA=?, to calculate fA we must have __ and know ___
Sort from oldest to youngest, calculate r using youngest two parents
fA = 1/2(r two parents)
Conditions: must have 2 known parents and have genetic relationship between the parents

calculate Animal relationship coefficients Using Tabular Method

What is the level of inbreeding for B?
rrB - 1 = 0
What is the inbreeding coefficient and wrights coefficient of relationship


Calculate the inbreeding coefficient for A &C and wrights coeefeicnt of relationship between X and D

Genomic correlation based on DNA markers
A DNA genotype similarity matrix between animals can be used to measure
_______
A DNA genotype similarity matrix between animals can be used to measure
animalsā relationships matrix, (i.e. genomic relationship matrix)
What is this method of calculating genomic relationship matrix called?
GRM = ZZā/ 2sum pi (1-pi)
Use __ to Calcutta genomic relationship matrix
VanRaden, genotypes
Wright coefficient of genetic relationship is more accurate than genetic relationship, true or flase and why
False, because genetic relationship accounts for interbreeding, lack errors that are found in pedgree and accounts for mendicant sampling
Which is more accurate the genomic relationship matrix or Wrights coefficient of relationship, why?
The genomic relationship matrix should be more accurate than Wrightās
coefficient of relationships as it captures the actual genotypes (Mendelian
sampling) while Wrightās coefficients is a pedigree average.
Genomics relationship matrix formula, what is Mendelian sampling?
⢠EBVoffspring = ½ EBV sire + ½ EBV dam + Mendelian Sampling
⢠Mendelian Sampling : the chance factor in distributing half the genetic material from each
parent to their offspring
Reasons to inbred
ļ± To increase uniformity
ļ± To allow for the creation of pure lines to increase hybrid vigor
ļ± To identify deleterious recessive alleles and genotypes in a population for selection (i.e. test mating)
⢠Note: Relationship matrix can help designing of inbreeding
Does interbreeding cause immediate or longer term hybrid vigor
Long term
Consequences of interbreeding
Interbreeding depression (low performance) in diary cattle and low performance in sheep
Linebreeding
ļ§ The mating of individuals within a particular line;
ļ§ A mating system designed to maintain a substantial degree of relationship to a
highly regarded ancestor or group of ancestors without causing high levels of inbreeding.
ļ§ A slow form of inbreeding
ļ§ Planned inbreeding often breeding to one ālineā

Line-breeding is a controlled mating system of inbreeding? Group of answer choices? True False
True
Outbreeding vs Outcrossing vs Crossbreeding vs linecrossing
Outbreeding:
The mating of unrelated individuals
⢠Matings farther away (i.e. lower than) than the average of the population
Outcrossing:
Mating unrelated animals within the same breed
Crossbreeding:
Crossing between two or more breeds
Linecrossing
⢠Crossing two inbred lines
Outbreeding: what are the consequences of outbreeding? What can help design outbreeding?
ā Increases heterozygosity
ā Masks the expression of deleterious recessive alleles with major effects
ā Results in a gain in gene combination value (i.e. Hybrid vigor or Heterosis)
⢠when the performance of the offspring is greater than the average of the performance of the parents.
⢠Note: Relationship matrix can help designing of outbreeding
Three reasons of outbreeding?
1) To avoid the negative effects of inbreeding:
o Lethal or harmful recessive disorders
o Inbreeding depression
o Loss of genetic variance
2) To add hybrid vigor or Heterosis
ā Improve Fertility, disease resistance and longevity by 10 ā 30%
ā % Heterosis = [(crossbred average - straightbred average) / straightbred average] x 100
⢠Example: Let 525 pounds be the average weaning weight of the F1 calves, 450 be the
average weaning weight of the Breed A population, and 550 be the average weaning
weight of the sire S population
⢠The pounds of heterosis would be: Pounds of heterosis = 525 - [(450 + 550) / 2] = 25
pounds
⢠The percent of heterosis would be: % heterosis = 25 / [(450 + 550) / 2] * 100 = 5%
3) To take advantage of breed complementarity
Breed Complementarity

Repeatability: formula? Ability? Correlation? Chance of? Proportion? Calculate using what models?
Repeatability
ļ± Is the ability of the animal to repeat its records
ļ± The correlation between animalās records
ļ± Repeatability is the chance of getting the same phenotype again from the same individual.
ļ± The proportion of the phenotypic variance that is due to permanent effects unique to the individuals.
ļ± we can calculate repeatability using ANOVA & linear models

Predicting Genetic Improvement Rate or Response to Selection Rate: Selection? Genetic or Genomic improvement using Selection
Selection: Process of identifying superior individuals to serve as parents
for the next generation.
Genetic or Genomic improvement using Selection
⢠Requirement for genetic improvement
program :
ļ§ The most important point is having ābreeding goals
or objectivesā
ļ§ Trait/s which have heritable genetic basis
ļ§ Genetic variation within the population of interest
Responses to Selection: Selection differential(S)? Response to selection (R)? Example 1:
⢠Average daily gain (ADG, kg/day) heritability (h²) = 0.36
⢠ADG for Charolais breed in is 1.66 kg/day
⢠Average of selected parents = 1.9 kg/day
Example 2:
⢠Average daily gain (ADG, kg/day) heritability (h²) = 0.36
⢠ADG for Charolais breed in is 1.66 kg/day
⢠Average of selected parents = 2.5 kg/day
Selection differential (S) = X selected parents - X population
S= average of selected parents deviated from the population mean
Response to selection (R) = X offspring - X population
R = deviation of progeny from original population average
= Selection differential (S) * Heritability (h²)
Example 1:
Selection differential, S = 1.9 ā 1.66 = 0.24 kg/day
Expected genetic progress in next generation,
R = Sh²= (0.24) X (0.36) =0.0864 0.086 kg/day
Note:
ļ± For constant h 2, R depends on S
ļ± R & S units are the same as the phenotype
Example 2:
Selection differential, S = 2.5 ā 1.66 = 0.84 kg/day
Expected genetic progress in next generation,
R = Sh 2 = (0.84) X (0.36) = 0.3024 kg/day
In Practice, How can we increase R?
Response to selection (R) = Sh²
ā How to increase S
o Select fewer individuals => watch out for
inbreeding
ā How to increase h 2
o Measure phenotype more precisely,
o Reduce environmental variances
o Use genomics information (e.g. genotypes
Rate of genetic change: How do we measure the effectiveness of selection? The rate of genetic change or the key equation?
What do the following symbol represent:
Delta G? BV? r? i? oBV? L? iop? oA?
(Delta šŗ): the rate of change in the mean breeding value
(šµV) of a population caused by selection
ļ§ (r): Accuracy of selection - how well we rank animals?
ļ§ (i): Selection intensity - how picky?
ļ§ (šBV): Standard deviation of genetic variation ā genetic differences
ļ§ (L): Generation interval
iop: Standards deviation in phenotypic genetic variance
oA: Standard deviation of the additive genetic variance
End box: The selection intensity is not the proportion of the selective animals but it depends on the proportion of the selected animals as a parent
Genetic progress = __1__ x __2___ x __3___
1: how picky
2: how well we rank animals
3: natural genetic differences
The selection intensity is not the proportion of the selective animals but it depends on the proportion of the selected animals as a parent