Heritability
Heritability
Definition: Heritability is a measure used to describe the proportion of phenotypic variation in a population that can be attributed to genetic variation.
Major Concepts of Heritability
Components of Phenotype:
Phenotype (P): Result of both genetics (G) and environment (E)
Equation: P = G + E
Factors influencing phenotype:
Feeding
Housing
Health
Stress
Types of Genetic Effects
Additive Effects: Contributions of individual alleles to phenotype
Dominance Deviation: Interaction between alleles at a single locus affecting phenotype
Epistasis: Interaction between genes at different loci affecting phenotype
Example Illustration: Height in Dogs
Genotypes:
HHHHHH = tall (66 cm)
hhhhhh = short (60 cm)
Each H allele contributes approximately 1 cm to height.
Note: Environmental factors such as nutrition and health can influence height.
Heritability Formulae
Broad Sense Heritability (h²)
Equation: h^2 = \frac{\sigma^2G}{\sigma^2P}
Describes the proportion of phenotypic variance attributable to all genetic variance.
Range: 0 to 1
0 = complete environmental influence (no heritability)
1 = complete genetic influence (full heritability)
Includes: All genetic factors—additive, dominance, and interaction.
Limitations: Not practical for estimating breeding values.
Narrow Sense Heritability (h²)
Definition: Measures the degree of relationship between performance (phenotype) and breeding value for a specific trait.
Equation: h^2 = \frac{\sigma^2A}{\sigma^2P}
Characteristics:
Ignores gene-gene interactions.
More reliable indicator of breeding value.
Example: Dwarfism affects height in dogs (e.g., HHHhhh = moderate height but HHHhhh + aa = dwarf).
Range: 0 to 1
0 = complete environmental effect and other interactions
1 = entirely due to additive genetic effects.
Heritability Estimates
Method of Estimation: Based on relative resemblance among individuals, compared to non-relatives.
Can vary depending on the population and environmental conditions.
Regression Analysis
Correlation Coefficient (r): Indicates the strength of the relationship between mid-parent phenotype and offspring phenotype.
Regression example:
r = 0.85 (strong positive correlation)
r = 0.15 (weak positive correlation)
Slope Interpretation: The slope represents the heritability (h²).
Calculating Heritability from Relatives
Formulas for Different Relative Comparisons:
Parent-offspring: h^2 = 2r
Midparent-offspring: h^2 = r
Half-sibling: h^2 = 4r
Full sibling: h^2 = 2r
(where r is the correlation coefficient)
Examples of Heritability Estimates
High Heritability (h² ≈ 0.55):
Pig backfat: 0.55
Sheep wool length: 0.55
% butterfat in milk: 0.60
% bone in beef: 0.55
Average daily gain in beef: 0.35
Medium Heritability (0.20 ≤ h² < 0.35):
Milk yield: 0.25
Time in thoroughbreds: 0.25
Low Heritability (h² < 0.20):
Egg hatchability: 0.05
Pig litter size: 0.10
Sheep conception rate: 0.05
Heritability Rules of Thumb
Implications for Selection and Improvement of Traits:
High Heritability (h² ≈ 0.35 - 0.70): Traits like growth traits allow for quicker improvement by selection.
Medium Heritability (h² ≈ 0.20 - 0.30): Traits like behavior have moderate potential for improvement.
Low Heritability (h² ≈ 0.05 - 0.15): Traits like fertility are slow to improve due to high environmental influences.
Factors Influencing Low Heritability
**Characteristics Leading to Low Heritability: **
High environmental impact on the trait.
Complicated inheritance involving multiple factors and organ systems.
Example in fertility where factors include:
Estrus (controlled by hormones)
Litter size (affected by ovulation rate)
Anatomy
Parturition and rebreeding.
Heritability in Companion Animals
Dogs Behavioral Traits:
Pulling: 0.26
Pointing: 0.18
Aggression towards strangers: 0.63
Trainability: 0.73
Chasing: 0.62
Weight and Size Traits in Dogs
Fresh data on heritability estimates for various dog characteristics:
Weight: 0.41
Height: 0.65
Head width: 0.35
Chest depth: 0.54
Leg circumference: 0.08
Paw width: 0.72
Question Raised: Are a pup’s paws a good predictor of its eventual size?
Repeatability (R)
Definition: Measures correlation of repeated measurements from a single individual over time, indicating environmental variability within one genotype.
Use case: Example of milk yield in a dairy cow recorded across multiple lactation periods.
Examples of Repeatability Values:
Litter size in sows: 16%
Weaned calf weight in beef cattle: 40%
Milk yield in dairy cows: 60%