1. Partitioning of variance – Genetic models
Chapter 5, part 2

2. Basic genetic model Partitioning of variance P = G + E
= µ + A + D + I + E
P = µ + ½ As + ½ Ad +E
Case 1: P = µ + ½ As + 0! If mated to random chosen females 2

3. Transmission model Half of the genes come from the sire.
Half of the genes come from the dam.
Which “half” is transmitted by sire or dam is unknown = Mendelian sampling 3

4. Transmission model Variance  Mendelian sampling represents:
MS = Independent of everything else - uncertainty!!
Infinitesimal model: Variance of breeding values does not change from one generation to the next 4

5. Genetic model (for half sibs):
Pij = phenotypic observation on offspring j of sire i
What is the resemblance between 2 half sibs, i.e. individuals with one parent in common ?
(paternal half sibs and maternal half sibs)
How to quantify resemblance?  covariance

6. Genetic model (for half sibs):
What is the resemblance (covariance) in milk production between daughter 2 of sire 2 and daughter 5 of sire 2?

7. Genetic model (for half sibs):
Why would their milk production be similar (show resemblance) ?
They have the same father and therefore they will have partly the same “milk production genes”.

8. Genetic model (for half sibs):

9. Genetic model (for half sibs):

10. Genetic model (for half sibs):
What is the resemblance (covariance) in milk production between daughter 2 of sire 2 and daughter 5 of sire 2?
Milk production:

11. Genetic model (for half sibs):
Genetic model (for full sibs):
Pijk = phenotypic observation on offspring k of sire I and dam ij
What is the resemblance between full sibs, i.e. individuals with both parents in common ?

12. Genetic model for full sibs:
What is the resemblance (covariance) in egg production between daughter 1 of sire i and dam ij and daughter 2 of the same sire and dam?

13. Genetic model for full sibs:

14. ? Common environment model Genetic model for half sibs
Genetic model for full sibs ?
Individuals with the same (father and) mother also share part of their environment

15. Common environment model

16. Common environment model
pigs in same litter are similar:
genetics (full sibs)
mother care
nutrition
same pen
Individuals in this case resemble each other not only because the have genes in common but also because the have experienced some of the same environmental effects.

17. Common environment model
Is a common environmental effect important for the resemblance between:
half sib pigs ?
cross fostered full sib pigs?
full sib humans?

18. Common environment model
Why do twins resemble each other?
The same father
The same mother
Common environment

19. Estimated parameters based on Dutch twins:
Purple = genetic, Green = common environment, Blue = age, Beige = environment

20. Common environment model
Females
males
Age
Estimated parameters based on Dutch twins:
Purple = genetic, Green = common environment, Blue = age, Beige = environment

21. Genetic parameters for growth in Nile Tilapia
Age (days) h2 c2
122
0.16
0.21
151
0.24
0.14
202
0.11
234
0.20
0.10
293
0.26
0.09
Rutten, Komen and Bovenhuis (2004)

22. The repeatability model
Repeated measures of the same trait on the same individual.
repeated in time: weight of a fish on 122 days and 151 days.
measurement of backfat of a pig at different locations.
measure the strength of 2 eggs.

23. The repeatability model
Pij = phenotypic observation j on individual i
= overall mean
Gi = genetic value of individual 1
= permanent environmental effect on individual i
= temporary environmental effect on repeated
observation j of individual i

24. The repeatability model
Milk yield of cow 1 in lactation 1 and lactation 2:
The genotype and the permanent environmental effect of the cow have the same effect on lactation 1 and lactation 2.
Permanent environment Ep :
e.g. rearing conditions, diseases at young age

25. The repeatability model
Milk yield of cow 1 in lactation 1 and lactation 2:
Covariance between milk produced in lactation 1 and lactation 2?

26. The repeatability model
Correlation between repeated observations:
i.e. the repeatability.
r  [0 …. 1]
r  h2
Repeatability is also being used to asses the quality of a measurement: if we redo a measurement does it give the same result?

27. Correlations between traits
Examples
Individuals that eat more also grow faster  positive relationship
Cows that produce more milk generally also have poorer fertility  negative relationship
Larger dogs have more HD  positive relationship.
Causes of similarity between traits
Genetics: Traits are affected by the same genes
genes increasing feed intake also increase growth rate
Environment: environmental effects work systematically in the same or opposite direction
better tasting feed increases both intake and growth rate

28. Phenotype Trait 1 Phenotype Trait 2
All genes of an animal
All environmental effects affecting an animal
Phenotype
Trait 1
Trait 1
Trait 1
Pleiotropic genetic effects on trait 1 and 2
Environmental effects in common for trait 1 and 2
Trait 2
Trait 2
Phenotype
Trait 2

29. Correlation between traits
Phenotypic correlation
Correlation between phenotypes for both traits
Strength of the relationship between the phenotypes for both traits
If I know the actual feed intake, how accurately do I know the growth rate?

30. Correlation between traits
(Additive) genetic correlation
Correlation between the (true) breeding values for both traits.
Strength of the relationship between the breeding values for both traits
If I know the breeding value for feed intake, how accurately do I know the breeding value for growth rate?

31. Correlation between traits
Environmental correlation
Correlation between the environmental effects on both traits (pl correct it in your reader, P5-11).

32. Multiple traits

33. Multiple traits

34. Summary Genetic Models Basic genetic model Transmission model
Common environmental model
Repeatability model
Multiple traits

35. Summary Parameters: Heritability Common environmental effects
Repeatability
Phenotypic, genetic and environmental correlations