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An assignment on Heritability
Date of Submission: 2080/01/24
Submitted by: Rabins Subedi Submitted to : Surya Dhungana
Department Plant Breeding and Genetics Assistant Professor
AFU AFU
HERITABILITY
Proportion of the total phenotypic variation that is due to genotypic variation
among individuals for a particular trait.
 It is the proportion of the observed variation in a progeny that is inherited.
Simply, it is the ratio of genetically caused variation to total variation.
Always measured in a population in a particular trait.
Types of heritability
 2 types
a. Broad sense heritability
b. Narrow sense heritability
a. Broad sense heritability
Proportion of phenotypic variance that is due to total genetic variance (additive,
dominance and epistasis).
Heritability is estimated using the total genetic variance(Vg).
It is useful in selection of superior line from homozygous lines.
If heritability in broad sense is high, character is less influenced by environment
and vice versa.
Genetic improvement through selection will be difficult.
It is mathematically, expressed as:
H2 = Vg/Vp
b. Narrow sense heritability
Ratio of additive genetic variance to the total phenotypic variance.
Reliable measure as it is based on breeding value.
More useful to plant breeders because the additive component of genetic variance
determines the response to selection.
Mathematically it can be expressed as
H2 = VA/VP
Value of heritability varies from 0 ( all environment) to 1 (all genetic).
Factors affecting heritability estimates
The magnitude of heritability estimates depends upon on the genetic population
used, the sample size and the method of estimation.
a. Genetic population:
The amount of genotypic variance present for a trait in a population influences
estimates of heritability.
More divergent parents yield a population that is more genetically variable.
b. Sample size:
As it is difficult or impractical to measure all individuals in a large population,
heritability is estimated from sample data.
To obtain the true genetic variance for a valid estimate of the true heritability of
the trait, the sampling should be random.
c. Methods of computation:
Estimated by several methods and common methods include the variance
component method, parent-offspring regression, correlation between relatives etc.
Methods to estimate narrow sense heritability
• Statistical methods e.g. regression, correlation and ANOVA
1. Offspring- Parent Regression
a. Regression of offspring on one parent
b. Regression of offspring on mid parent
2. Correlation between relatives
a. Correlation between parents and offspring
b. Correlation between sibs ( full sibs or half sibs)
3. Analysis of variance ( ANOVA) or Intraclass correlation
a. Intraclass correlation between full sibs
b. Intraclass correlation between half sibs
4. Restricted Maximum Likelihood (REML) Method
 Software e.g. : WOMBAT, ASREML, SAS, BLUPF90
Importance of heritability in crop improvement
Helps in the construction of selection index (i.e. high heritability would likely
result in high response to selection )
To determine whether a trait would benefit from breeding. If the narrow sense
heritability for a trait is high, it indicates that the use of plant breeding methods
will likely be successful in improving the trait of interest.
Useful in predicting the effectiveness of selection.
Helpful for deciding the breeding methods to be followed for effective selection.
Estimates of a heritability serves as a useful guide to the breeder, to appreciate the
proportion of variation that is due to genotypic and additive effects.
Assgnment onnnnnnnbbjh heritability.PPTX

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Assgnment onnnnnnnbbjh heritability.PPTX

  • 1. An assignment on Heritability Date of Submission: 2080/01/24 Submitted by: Rabins Subedi Submitted to : Surya Dhungana Department Plant Breeding and Genetics Assistant Professor AFU AFU
  • 2. HERITABILITY Proportion of the total phenotypic variation that is due to genotypic variation among individuals for a particular trait.  It is the proportion of the observed variation in a progeny that is inherited. Simply, it is the ratio of genetically caused variation to total variation. Always measured in a population in a particular trait.
  • 3. Types of heritability  2 types a. Broad sense heritability b. Narrow sense heritability
  • 4. a. Broad sense heritability Proportion of phenotypic variance that is due to total genetic variance (additive, dominance and epistasis). Heritability is estimated using the total genetic variance(Vg). It is useful in selection of superior line from homozygous lines. If heritability in broad sense is high, character is less influenced by environment and vice versa. Genetic improvement through selection will be difficult. It is mathematically, expressed as: H2 = Vg/Vp
  • 5. b. Narrow sense heritability Ratio of additive genetic variance to the total phenotypic variance. Reliable measure as it is based on breeding value. More useful to plant breeders because the additive component of genetic variance determines the response to selection. Mathematically it can be expressed as H2 = VA/VP Value of heritability varies from 0 ( all environment) to 1 (all genetic).
  • 6. Factors affecting heritability estimates The magnitude of heritability estimates depends upon on the genetic population used, the sample size and the method of estimation. a. Genetic population: The amount of genotypic variance present for a trait in a population influences estimates of heritability. More divergent parents yield a population that is more genetically variable. b. Sample size: As it is difficult or impractical to measure all individuals in a large population, heritability is estimated from sample data. To obtain the true genetic variance for a valid estimate of the true heritability of the trait, the sampling should be random. c. Methods of computation: Estimated by several methods and common methods include the variance component method, parent-offspring regression, correlation between relatives etc.
  • 7. Methods to estimate narrow sense heritability • Statistical methods e.g. regression, correlation and ANOVA 1. Offspring- Parent Regression a. Regression of offspring on one parent b. Regression of offspring on mid parent 2. Correlation between relatives a. Correlation between parents and offspring b. Correlation between sibs ( full sibs or half sibs) 3. Analysis of variance ( ANOVA) or Intraclass correlation a. Intraclass correlation between full sibs b. Intraclass correlation between half sibs 4. Restricted Maximum Likelihood (REML) Method  Software e.g. : WOMBAT, ASREML, SAS, BLUPF90
  • 8. Importance of heritability in crop improvement Helps in the construction of selection index (i.e. high heritability would likely result in high response to selection ) To determine whether a trait would benefit from breeding. If the narrow sense heritability for a trait is high, it indicates that the use of plant breeding methods will likely be successful in improving the trait of interest. Useful in predicting the effectiveness of selection. Helpful for deciding the breeding methods to be followed for effective selection. Estimates of a heritability serves as a useful guide to the breeder, to appreciate the proportion of variation that is due to genotypic and additive effects.