In-Depth Notes on Heritability
Understanding Heritability
Definition: Heritability refers to the degree to which genetic factors contribute to the variation in a specific trait within a particular population at a specific time.
Key Concepts of Heritability
Proportion of Variation
Heritability (h²) quantifies the portion of trait variation attributable to genetics.
Scale: 0 (no genetic influence) to 1 (total genetic control).
High vs Low Heritability
High heritability (h² > 0.4 or 40%): Breed for genetic gain.
Low heritability (h² < 0.15 or 15%): Manage traits, expect slow genetic gain.
Methods to Calculate Heritability
Broad-Sense Heritability:
Formula: h2 = Vg/Vp
More complex calculations, detailed in higher courses like GENE301.
Mean Trait Values:
Formula: h^2 = \frac{R}{S}
R = response to selection, S = selection differential.
Parent-Offspring Regression:
Graph the relationship between parent and offspring trait values.
Best fit slope indicates heritability;
slope of 0 means no genetic influence
slope of 1 indicates total genetic control.
Important for breeding applications.
Example of Parent-Offspring Regression
Illustration: For a given trait (like beak depth in sparrows):
Regression equation example: y = 0.98x - 0.01 where y is the offspring trait value, and x is the parent trait value. This high slope indicates a strong genetic correlation between the parents' and offspring's beak depths, suggesting significant heritability for this trait.
Coefficient of determination (r²) value indicates variance accounted for (e.g., r² = 0.496). This suggests that nearly 49.6% of the variance in the trait can be attributed to genetic factors.
Factors Affecting Heritability
Environmental consistency is crucial for reliable heritability estimates.
Variations in environment (e.g., different orchards) may affect results.
DETERMINING A HERITABILITY VALUE FOR TEMPERAMENT
Steps for Assessing Heritability of Traits (e.g., Docility):
Define the Trait: Specific behaviors for temperament. นิสัยโดยธรรมชาติ
Develop a Temperament Scale: Use observational studies and behavioral tests.
Data Collection: Gather quantitative temperament data from both parents and offspring.
Selection: Choose best individuals to breed.
Data Collection on Progeny: Again measure temperament in offspring.
Heritability Calculation: Use methods like h^2 = \frac{R}{S} or regression.
Livestock Heritability Estimates
Sheep and cattle have varying heritability across traits:
Sheep:
Birth Weight: 0.3
Growth Rate: 0.3
Mature Body Weight: 0.4
Cattle:
Birth Weight: 0.45
Growth Rates: Range from 0.3 to 0.46
Notably, genetic similarities can be very high (>99%) despite differing heritability values.
Practical Example of Genetic Gain Calculation
Average growth rate of lambs: 150 g/day.
Selected ram and ewe lambs benchmarks: 300 g/day (rams) and 250 g/day (ewes).
Compute superiority:
Ram superiority: 300 - 150 = 150 g/day
Ewe superiority: 250 - 150 = 100 g/day
Average superiority: (150 + 100)/2 = 125 g/day.
Expected genetic gain with h^2 = 0.3:
0.3 x 125 g/day = 37.5 g/day
Resultant expected growth rate for offspring: 187.5 g/day.
Considerations in Breeding Practices
Challenges:
Genetic gains across generations may show variation and slower improvement due to risks like inbreeding.
Conclusion
Understanding heritability is crucial for effective breeding.
Heritability estimates are context-specific and can be impacted by a range of factors, including population dynamics and environmental conditions.