18: Repeatability and Correlations Flashcards

1
Q

Slide 11, 12

A

Repeatability as a function of variability

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2
Q

Order from largest to smallest: r, H^2, h^2

A

h^2 </= H^2</= r

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3
Q

Why is narrow sense heritability the smallest value

A

Least amount of factors in the numerator
slide 18

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4
Q

With high h^2…

With high r…

A

prediction of BV will be more accurate

prediction of PA will be more accurate

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5
Q

Higher h^2 and higher r lead to fewer mistakes in… respectively

A

replacement selection, culling

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6
Q

What is correlation

A

Function of covariance between two values and their standard deviations

Indicates consistency and reliability of the relationship

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7
Q

Range of correlation

A

+1 (very strong and positive) to -1 (very strong and negative)

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8
Q

What is phenotypic correlation

A

Association between two traits that can be directly observed
Strength of relationship btw phenotypic value in one trait and phenotypic value in another

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9
Q

What is environmental correlation

A

Measure of the strength of the relationship between environmental effects on one trait and environmental effects on another trait

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10
Q

Environmental correlation considers…

A

environmental deviations together with non-additive genetic deviations between two characters

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11
Q

What is environmental correlation used for? Example

A

Management purposes
e.g. environmental correlation between average daily gain and back-fat thickness in swine has been estimated at +0.40

Suggest environments conducive to rapid weight gains tend to produce fatter pigs

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12
Q

What is genetic correlation

A

Quantify the overall genetic similarity between complex traits

Measures the strength of the relationship between breeding values for one trait and breeding values for another trait

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13
Q

Slides 25-27

A

Types of correlation

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14
Q

Two ways genes would be gentically correlated? Describe

A

Pleiotropy: a single gene affects two or more different traits

Linkage: different loci influencing distinct traits are situated close together on the same chromosome, preventing independent segregation during meiosis phase of sexual reproduction

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15
Q

Example of pleiotropy

A

Two loci variants (IGF-1 and HMGA2) for small body size associated with separation anxiety, touch sensitivity, owned directed aggression and dog rivalry

Selected for size; unintentionally selected for behaviour

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16
Q

Why is understanding genetic correlation important? E.g.

A

If two traits are genetically correlated, selection for one will cause genetic change in the other

e.g. selection to improve scrotal circumference will result in reduced age at puberty (female trait)

17
Q

Describe the selective breeding for tameness project in foxes

A

Started in 1959 by Dr. Dmitri Belyaev
Wanted to understand process of domestication by direct selection of behavioural traits on silver foxes
Would cross tame to tame and aggressive to aggressive
Saw behavioural changes in tame (approachability, tail wagging) and also morphological changes (floppy ears, curly tail, coat colour variations)

18
Q

Different ways correlation between traits can be classified

A

Strength: strong or weak
Sign/direction: positive or negative
Favourable or unfavourable

19
Q

Example of positive correlation and negative correlation

A

Pos: positive correlation between birth weight and calving dystocia is unfavourable since heavier calves are associated with higher calving problems

Neg: negative correlations between yearling weight and age at puberty is favourable since heavier animals at yearling will likely have lower age at puberty

20
Q

Correlation varies from… E.g.

A

population to population

Correlation between milk production and fertility may be quite different in two different breeds of cattle

21
Q

Different levels of correlation strength

A

None: 0-0.1
Weak: 0.1-0.3
Moderate: 0.3-0.5
Strong: 0.5+

(same in negative direction)

22
Q

Additional applications of correlation

A
  • predict genetic change in one or more traits from selection for another trait (correlated response to selection)
  • provide additional source of info for the prediction of BVs
  • used for construction of multi-trait selection indices