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SUBMITTED TO:
Dr. ARNA DAS
ASSITANT PROFESSOR
DEPARTMENT OF GENETICS
AND PLANT BREEDING
BACA, AAU ,ANAND.
SUBMITTED BY:
N.VISHNUREKHA
2010118086
M.Sc. AGRICULTURAL
STATISTICS
BACA,AAU, ANAND.
COURSE : GP 501 PRINCIPLES OF
GENETICS
Phenotypic variance:
 It is the total variability.
 It includes both genotypic and environmental variation.
Environmental variance:
 It refers to the non heritable variation.
 It is measured in terms of error mean square.
 The variation in true breeding line and in F1 is non heritable.
 Genetic Variance:
it is the heritable portion of total or phenotypic
variance.
 In crop improvements programme, only the genetic
components of variation are important because only
this component is transmitted to the next generation.
 According to Fisher in 1918, components of genetic
variance divided into three components viz.
1) Additive,
2) Dominance
3) Epistatic
1) Additive Variance:
Genetic variance due to average effects of genes on all
segregating loci.
•Arises from differences between two homozygotes of a gene
i.e., AA and aa.
• Show lack of dominance and have intermediate expression
in Aa.
•Fixable and hence selection for traits governed by such
variance is effective.
• Only variance responds to selection.
• Breeding value of individual is measured directly by
Additive gene effects. General combining ability of a parent is a
measure of additive gene effects.
 It is the chief cause of transgressive segregation.
 it is required for the estimation of Narrow sense heritability.
 higher in magnitude in natural population.
Eg: In a CORN, genes A and B control the yield of the corn.
 A – 2 corns, a – 1 corn ; B – 6 corns , b – 3 corns
each allele will contribute to the yield of the corn.
 AaBb X AaBb
 AABB - 16 (2+2+6+6) ; AABb - 13
AABb - 13 ; AaBB - 15 ; Aabb - 9 ; AaBb - 12
aaBB - 14 ; aabb - 8 ; aaBb - 11
2) Dominance Component:
 It is due to the deviation of heterozygote (Aa) phenotype from
the average of phenotypic value of the two homozygotes (AA
and aa).
 It is also referred as intra-allelic interaction.
 Associated with heterozygosity, maximum in cross pollinated
crops and minimum in self pollinated crops.
 It shows incomplete , complete , over dominance.
 Not fixable and hence selection is ineffective.
 Gets depleted through selfing or inbreeding.
 SCA is the measure of dominance variance in diallele, partial
diallele and line x tester cross analysis.
 It is the chief cause of heterosis.
 Moderate in magnitude in natural population.
Eg: A plant produces white flowers if its genotypes are A1A1
and red flowers if its genotypes are A2A2
 we would assume that A1 A2 leads to pink flower but in
dominance variance there is NO MIDPOINT
 If A2 is dominant, A1 A2 would produce red flowers.
3) Epistatic or Interaction Components:
It results from an interaction between two or more genes.
Later Hayman and Mather classified the epistatic components
into three types interaction viz.
1) Additive X additive,
2) Additive X dominance,
3) Dominance X dominance.
 Eg: In the same flower, a B1 gene produces pigment whereas a
B2 gene does not produce any pigment (flower appears white)
 A2A2B1B1 – red flower
 A1A1B2B2 – white flower
 A2A2B2B2 – white flower
 The ratio of genetic variance to the total variance (i.e)
phenotypic variance is known as heritability.
 The extent of contribution of genotype to the phenotypic
variation for a trait in a population is ordinarily expressed as
the ratio of genetic variance to the total variance.
 Heritability ranges from 0 to 1.
Heritability H = VG/ VP Or = VG / VG + VE
Where VG - genotypic variance
 VP - phenotypic variance and
 VE - environmental variance .
There are two types of heritability viz
1) Broad sense heritability and
2) Narrow sense heritability.
 It is the ratio of genotypic variance to the total phenotypic
variance.
h
2 (bs) = VG/VP or VG/VG+VE
 Estimates are valid for homozygous lines, or populations.
 However, when we are dealing with segregating generation.
The genetic variance consists of additive and dominance
component.
 Since in self pollinated crop we develop homozygous lines,
the dominance component will not contribute to the phenotype
of homozygous lines derived from a population.
 In such cases only the additive component of variation is
important.
 Therefore, for segregating generation broad sense heritability
is less important because it cannot realize fully in the
 Heritability values are characterized as fallow.
 Low - less than 30%
 Moderate - 30-60%
 High - More than 60% (Johnson et al. 1955).
 Useful in selection of elite types from homozygous
population.
 Can be estimated from both parental and segregating material.
 Estimated from total genetic variance.
 More useful in animal breeding.
 It is the ratio of additive genetic variance VA to the
total phenotypic variance VP (smith, 1952)
 h
2 (ns) = VA/VP = VA/VG + VE
 Narrow sense heritability is reliable measures, as it is
based on breeding value.
 The magnitude of narrow sense heritability is always
less than or equal to broad sense heritability.
 Requires crossing in a definite fashion.
 Narrow sense heritability is classified as follow.
i. Low -5 to 10 % .
ii. Medium -10-30%
iii. High - more than 30% Robinson et.al(1966).
 Estimated from additive genetic variance.
 Useful in both plant and animal breeding.
 Useful in selection of elite types from segregating material.
 Heritability can be estimated by three different methods.
a) From analysis of variance table of a trial consisting of a
large number of genotypes.
b) Estimation of VG and VE from the variance of P1, P2, P3,
P4 generation of a cross.
c) Parent – offspring regression upon doubling provides
estimates of heritability.
 Thus, H = 2b, where b is the regression of progeny means on
parent value.
 When heritability is estimated from the above three methods is
known as broad sense heritability
Broad sense heritability
 It require estimation of genetic variance in a population . It is
estimated as two way
1) Simple trials:
h
2 (bs) = VG / VP X 100
where VP = VG + VE
2) From Generation mean analysis
( VF2 - VF1) / VF2 X 100
 Where VF2, VF1 are variance of F1 and F2 respectively
Narrow sense heritability
 For the estimation of narrow sense heritability require
estimation of additive genetic variance
1)Diallel Analysis
h
2 (ns) = (1/2 D + ½ H1- ½ H2 – ½ F) X 100 (1/2 D +
½ H1- ¼ H2 – ½ F+ E)
2) Generation mean analysis.
 Heritability= ½ D / VF2 X 100 Warner (1952)….
Heritability = D/ (D+H+E) X 100 Mather (1949)…
 Because it allows us to predict a trait’s response to selection
R = h
2 S.
Where;
 R = response to selection
 h
2 = heritability
 S = selection differential
 Heritability does not indicate the degree to which a
characteristic is genetically determined.
 An individual does not have heritability.
 Narrow-sense heritability of 0.6 in population does not indicate
that an individual’s characteristic is 60% additive.
 There is no universal heritability for a characteristic.
 Two populations will have different heritability due to
environment.
 Even when heritability is high, environmental factors may
influence a characteristic.
 Heritability indicates nothing about the nature of population
differences in a characteristic.
 useful in predicting the effectiveness of selection.
 helpful for deciding breeding methods to be followed for
effective selection.
 It gives us an idea about the response of various characters to
selection pressure.
 useful in predicting the performance under different degree of
intensity of selection.
 helps for construction of selection index.
 Estimates of heritability serve as a useful guide to the breeder,
to appreciate the proportion of variation that is due to
genotypic or additive effects.
 If heritability in broad sense is high
 It indicates character are least influenced by environment
 selection for improvement of such characters may be useful.
 If heritability in broad sense is low
 The character is highly influenced by environmental effects
 Genetic improvement through selection will be difficult.
 If heritability in narrow sense is high
 characters are govern by additive gene action,
 Selection for improvement of such characters would be
rewarding(selection method)
 If low heritability in narrow sense
 governed by non-additive, non-fixable genes.
 Heterosis breeding will be beneficial
 H2 varies from 0 (all environment) to 1 (all genetic)
 Heritability of 0 are found in highly inbred populations with
no genetic variation.
 Heritability of 1 are expected for characters with no
environmental variance in an outbred population if all genetic
variance is additive.
 Heritability are specific to particular populations living under
specific environmental conditions
 Heritability (h²) and Additive Variance (VA ) are
fundamentally measures of how well quantitative traits are
transmitted from one generation to the next.
 Falconer D.S and Mackay J. 1998.Introduction to Quantitative
Genetics. Longman.
 Naryanan S.S and Singh P. 2007. Biometrical Techniques in
Plant Breeding. Kalyani.
 George Acquaah.2012. Principles of Plant Genetics and
Breeding. Wiley blackwell.
Different variance components in genetics

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Different variance components in genetics

  • 1. SUBMITTED TO: Dr. ARNA DAS ASSITANT PROFESSOR DEPARTMENT OF GENETICS AND PLANT BREEDING BACA, AAU ,ANAND. SUBMITTED BY: N.VISHNUREKHA 2010118086 M.Sc. AGRICULTURAL STATISTICS BACA,AAU, ANAND. COURSE : GP 501 PRINCIPLES OF GENETICS
  • 2. Phenotypic variance:  It is the total variability.  It includes both genotypic and environmental variation. Environmental variance:  It refers to the non heritable variation.  It is measured in terms of error mean square.  The variation in true breeding line and in F1 is non heritable.
  • 3.  Genetic Variance: it is the heritable portion of total or phenotypic variance.  In crop improvements programme, only the genetic components of variation are important because only this component is transmitted to the next generation.  According to Fisher in 1918, components of genetic variance divided into three components viz. 1) Additive, 2) Dominance 3) Epistatic
  • 4. 1) Additive Variance: Genetic variance due to average effects of genes on all segregating loci. •Arises from differences between two homozygotes of a gene i.e., AA and aa. • Show lack of dominance and have intermediate expression in Aa. •Fixable and hence selection for traits governed by such variance is effective. • Only variance responds to selection. • Breeding value of individual is measured directly by Additive gene effects. General combining ability of a parent is a measure of additive gene effects.
  • 5.  It is the chief cause of transgressive segregation.  it is required for the estimation of Narrow sense heritability.  higher in magnitude in natural population. Eg: In a CORN, genes A and B control the yield of the corn.  A – 2 corns, a – 1 corn ; B – 6 corns , b – 3 corns each allele will contribute to the yield of the corn.  AaBb X AaBb  AABB - 16 (2+2+6+6) ; AABb - 13 AABb - 13 ; AaBB - 15 ; Aabb - 9 ; AaBb - 12 aaBB - 14 ; aabb - 8 ; aaBb - 11
  • 6. 2) Dominance Component:  It is due to the deviation of heterozygote (Aa) phenotype from the average of phenotypic value of the two homozygotes (AA and aa).  It is also referred as intra-allelic interaction.  Associated with heterozygosity, maximum in cross pollinated crops and minimum in self pollinated crops.  It shows incomplete , complete , over dominance.  Not fixable and hence selection is ineffective.  Gets depleted through selfing or inbreeding.
  • 7.  SCA is the measure of dominance variance in diallele, partial diallele and line x tester cross analysis.  It is the chief cause of heterosis.  Moderate in magnitude in natural population. Eg: A plant produces white flowers if its genotypes are A1A1 and red flowers if its genotypes are A2A2  we would assume that A1 A2 leads to pink flower but in dominance variance there is NO MIDPOINT  If A2 is dominant, A1 A2 would produce red flowers.
  • 8. 3) Epistatic or Interaction Components: It results from an interaction between two or more genes. Later Hayman and Mather classified the epistatic components into three types interaction viz. 1) Additive X additive, 2) Additive X dominance, 3) Dominance X dominance.
  • 9.  Eg: In the same flower, a B1 gene produces pigment whereas a B2 gene does not produce any pigment (flower appears white)  A2A2B1B1 – red flower  A1A1B2B2 – white flower  A2A2B2B2 – white flower
  • 10.  The ratio of genetic variance to the total variance (i.e) phenotypic variance is known as heritability.  The extent of contribution of genotype to the phenotypic variation for a trait in a population is ordinarily expressed as the ratio of genetic variance to the total variance.  Heritability ranges from 0 to 1. Heritability H = VG/ VP Or = VG / VG + VE Where VG - genotypic variance  VP - phenotypic variance and  VE - environmental variance .
  • 11. There are two types of heritability viz 1) Broad sense heritability and 2) Narrow sense heritability.
  • 12.  It is the ratio of genotypic variance to the total phenotypic variance. h 2 (bs) = VG/VP or VG/VG+VE  Estimates are valid for homozygous lines, or populations.  However, when we are dealing with segregating generation. The genetic variance consists of additive and dominance component.  Since in self pollinated crop we develop homozygous lines, the dominance component will not contribute to the phenotype of homozygous lines derived from a population.  In such cases only the additive component of variation is important.  Therefore, for segregating generation broad sense heritability is less important because it cannot realize fully in the
  • 13.  Heritability values are characterized as fallow.  Low - less than 30%  Moderate - 30-60%  High - More than 60% (Johnson et al. 1955).  Useful in selection of elite types from homozygous population.  Can be estimated from both parental and segregating material.  Estimated from total genetic variance.  More useful in animal breeding.
  • 14.  It is the ratio of additive genetic variance VA to the total phenotypic variance VP (smith, 1952)  h 2 (ns) = VA/VP = VA/VG + VE  Narrow sense heritability is reliable measures, as it is based on breeding value.  The magnitude of narrow sense heritability is always less than or equal to broad sense heritability.  Requires crossing in a definite fashion.
  • 15.  Narrow sense heritability is classified as follow. i. Low -5 to 10 % . ii. Medium -10-30% iii. High - more than 30% Robinson et.al(1966).  Estimated from additive genetic variance.  Useful in both plant and animal breeding.  Useful in selection of elite types from segregating material.
  • 16.  Heritability can be estimated by three different methods. a) From analysis of variance table of a trial consisting of a large number of genotypes. b) Estimation of VG and VE from the variance of P1, P2, P3, P4 generation of a cross. c) Parent – offspring regression upon doubling provides estimates of heritability.  Thus, H = 2b, where b is the regression of progeny means on parent value.  When heritability is estimated from the above three methods is known as broad sense heritability
  • 17. Broad sense heritability  It require estimation of genetic variance in a population . It is estimated as two way 1) Simple trials: h 2 (bs) = VG / VP X 100 where VP = VG + VE 2) From Generation mean analysis ( VF2 - VF1) / VF2 X 100  Where VF2, VF1 are variance of F1 and F2 respectively
  • 18. Narrow sense heritability  For the estimation of narrow sense heritability require estimation of additive genetic variance 1)Diallel Analysis h 2 (ns) = (1/2 D + ½ H1- ½ H2 – ½ F) X 100 (1/2 D + ½ H1- ¼ H2 – ½ F+ E) 2) Generation mean analysis.  Heritability= ½ D / VF2 X 100 Warner (1952)…. Heritability = D/ (D+H+E) X 100 Mather (1949)…
  • 19.  Because it allows us to predict a trait’s response to selection R = h 2 S. Where;  R = response to selection  h 2 = heritability  S = selection differential
  • 20.  Heritability does not indicate the degree to which a characteristic is genetically determined.  An individual does not have heritability.  Narrow-sense heritability of 0.6 in population does not indicate that an individual’s characteristic is 60% additive.  There is no universal heritability for a characteristic.  Two populations will have different heritability due to environment.  Even when heritability is high, environmental factors may influence a characteristic.  Heritability indicates nothing about the nature of population differences in a characteristic.
  • 21.  useful in predicting the effectiveness of selection.  helpful for deciding breeding methods to be followed for effective selection.  It gives us an idea about the response of various characters to selection pressure.  useful in predicting the performance under different degree of intensity of selection.  helps for construction of selection index.  Estimates of heritability serve as a useful guide to the breeder, to appreciate the proportion of variation that is due to genotypic or additive effects.
  • 22.  If heritability in broad sense is high  It indicates character are least influenced by environment  selection for improvement of such characters may be useful.  If heritability in broad sense is low  The character is highly influenced by environmental effects  Genetic improvement through selection will be difficult.  If heritability in narrow sense is high  characters are govern by additive gene action,  Selection for improvement of such characters would be rewarding(selection method)  If low heritability in narrow sense  governed by non-additive, non-fixable genes.  Heterosis breeding will be beneficial
  • 23.  H2 varies from 0 (all environment) to 1 (all genetic)  Heritability of 0 are found in highly inbred populations with no genetic variation.  Heritability of 1 are expected for characters with no environmental variance in an outbred population if all genetic variance is additive.  Heritability are specific to particular populations living under specific environmental conditions  Heritability (h²) and Additive Variance (VA ) are fundamentally measures of how well quantitative traits are transmitted from one generation to the next.
  • 24.  Falconer D.S and Mackay J. 1998.Introduction to Quantitative Genetics. Longman.  Naryanan S.S and Singh P. 2007. Biometrical Techniques in Plant Breeding. Kalyani.  George Acquaah.2012. Principles of Plant Genetics and Breeding. Wiley blackwell.