Heritability

0.0(0)
studied byStudied by 0 people
learnLearn
examPractice Test
spaced repetitionSpaced Repetition
heart puzzleMatch
flashcardsFlashcards
Card Sorting

1/16

encourage image

There's no tags or description

Looks like no tags are added yet.

Study Analytics
Name
Mastery
Learn
Test
Matching
Spaced

No study sessions yet.

17 Terms

1
New cards

What are traits influenced by?

By genetic and environmental factors

2
New cards

Therefore what is the equation for phenotype?

Phenotype = Genotype + Environment

(P) = (G) + (E)

3
New cards

What makes up genotype and give examples?

Genotype = Additive effects + Non-additive effects

  • Additive effects = Individual effects/genes that add up (predictable and heritable so passed down to generations)

  • Non-additive effects = Genetic interactions that don’t simply add up

    • Dominance effects (interaction between SAME locus)

    • Epistasis effects (interaction between DIFFERENT locus)

4
New cards

So what is the full equation for phenotype?

P = A + D + I + E

  • Genotype =

    • A = Additive gene effect

    • Non-additive gene effect =

      • D = Dominance

      • I = Interaction/Epistasis

  • E = Environment

5
New cards

Heritability

  • What

  • Based on

  • Symbol

  • Types

  • What: Measures how much of the variation in a trait (weight, height) is due to genetics rather than environment

    • Degree of resemblance between relatives for a trait in a population

  • Based on: Breeding values or additive gene effects

  • Symbol: h2

  • Types:

    • Narrow sense heritability #00be3b

    • Board sense heritability #0084ff

6
New cards

Heritability: Narrow Sense Heritability #00be3b

  • What

  • Formula

  • Tells us

  • Used in

  • What does it mean if

    • h2 is high

    • h2 is low

What: Proportion of phenotypic variance (VP) that is due to additive genetic variance (VA)

Formula: h2 = VA / VP

Tells us:

  • How much of a trait’s variation is passed from parents —> offspring

  • How much of variation in animal’s performance is caused by breeding values (additive genetic differences)

Used in: Breeding and selection

  • Because only additive effects (VA) are predictable and inherited

What does it mean if:

  • h2 is high: Most trait variation is due to additive genetics (what you see = what’s inherited)

  • h2 is low: Most trait variation is due to environment or non-additive genes

7
New cards

Heritability: Broad Sense Heritability #0084ff

  • What

  • Includes

  • Formula

  • Shows how

  • Used in

What: The proportion of phenotypic variance (VP) that is due to total genetic variance (VG)

Includes:

  • Additive (VA)

  • Dominance (VD)

  • Epitasis/Interaction (VI)

Formula: H2 = (VG) / (VP)

  • H2 = (VA) + (VD) + (VI) / (VP)

Shows how: Genetically influenced a trait is (but not all can be inherited predictably)

Used in: Research

8
New cards

Heritability Estimates

  • What is the value of low heritability

    • Means

    • How can improve herd

  • What is the value of moderate heritability

    • Means

  • What is the value of high heritability

    • Means

    • How can improve herd

What is the value of low heritability: < 0.2

  • Means: Trait is mostly influenced by environment so selection is slow and difficult

  • How can improve herd: Through improving management/environment

What is the value of moderate heritability: 0.2 - 0.4

  • Means: Genetics have moderate influence

What is the value of high heritability: > 0.4

  • Means: Trait is strongly controlled by genetics so selection is very effective

  • How can improve herd: By selecting the best animals

9
New cards

What is the slope on the graph is all phenotype is heritable

Regression slope = 1

h2 = 1

<p><strong>Regression slope </strong>= <strong>1</strong></p><p><strong>h<sup>2</sup> </strong>= <strong>1 </strong></p>
10
New cards

What is the slope on the graph when one half of the phenotype is heritable

Regression slope = 0.5

h2 = 0.5

<p><strong>Regression slope </strong>= <strong>0.5 </strong></p><p><strong>h<sup>2</sup> </strong>= <strong>0.5</strong></p>
11
New cards

What are 2 ways to estimate heritability?

  • Resemblance between relatives

    • By using information on relatives

  • Realised heritability

    • From selection carried on individuals and observe the response to selection

12
New cards

What are the 3 classes of relatives?

  • Ancestral relatives (parent and offspring)

  • Collateral (siblings only; full sibs and half sibs)

  • Both (pedigree; both ancestral and collateral)

13
New cards

Covariance

  • What

  • Why do relatives resemble each other

What: Between relatives is the extent the phenotype of pair of relatives or siblings vary together

Why do relatives resemble each other: Because they have more genes in common and share same environment

14
New cards

What does interclass (between-class) covariance mean?

Comparing values between generations

15
New cards

What does intraclass (within-class) covariance mean?

Looking within a group or class

  • Such as comparing siblings within the same family

16
New cards

What is the regression value for

  • Mid-parent & offspring

  • Parent & offspring

  • Half-siblings

  • Mid-parent & offspring

    • Regression value: h2

    • Why: When the average of both parents is compared to the offspring’s trait then get direct estimate of h2

  • Parent & offspring

    • Regression value: ½ h2

    • Why: If only one parent (sire or dam) is used, estimates only gives you half the heritability

  • Half-siblings

    • Regression value: ¼ h2

    • Why: Half siblings only share 25% of their genes on average

17
New cards

What are the 4 ways to improve heritability estimates

  • Make environment as uniform as possible

  • Have accurate measurement to minimize error

  • Adjust for known environmental effects

  • Use contemporary group (compare animals born within the same season and coming from the same herd)