SlideShare a Scribd company logo
1 of 4
Download to read offline
International journal ofHorticulture,Agriculture andFood science(IJHAF) Vol-2,Issue-6,Nov-Dec, 2018
https://dx.doi.org/10.22161/ijhaf.2.6.2 ISSN: 2456-8635
www.aipublications.com Page | 208
Gene Action for Yield and its Attributes by
Generation Mean Analysis in Brinjal.
(Solanummelongena L.)
R. Gunasekar1, K. Manivannan2 and M. Kannan3
1 Adhiparasakthi Horticultural College, G.B.Nagar, Kalavai-632 506, Tamil Nadu, India
Email: guna.genhort@gmail.com
2Annamalai University, Annamalai Nagar-608002, Tamil Nadu, India
3Adhiparasakthi Horticultural College, G.B.Nagar, Kalavai-632 506, Tamil Nadu, India
Abstract— Genetic studies assist the breeder in
understanding the inheritance mechanism and enhance
the efficiency of a breeding programme. Knowledge of
gene action and their relative contribution in expression
of character is of great importance. Eggplant yield
depends on two components viz., fruit weight and number
of fruits per plant. These traits are quantitative and
therefore influenced by multiple genes. The objective of
this study was to estimate the main gene effects (additive,
dominance and digenic epistasis) and to determine the
mode of inheritance for fruit Yield and its components.
The generation mean analysis was employed in three
crosses viz., Ac-2 x Annamalai, EP-45 x Annamalai and
EP-89 X Annamalai to partition the genetic variance.
Among the three crosses studied, the cross Ac-2 x
Annamalai had complimentary type of epistasis along
with significant additive gene effects and additive x
additive interaction gene effects for all the three traits.
Considering fruit yield per plant and its attributes, this
cross was judged as the best cross for further selection
programme.
Keywords— Brinjal, epistasis, five parameters, gene
action, generation mean analysis, yield, yield attributes.
I. INTRODUCTION
Eggplant (Solanummelongena L.,2n=24), known as
brinjal, originated from India and consumed extensively
worldwide. In India, it is one of the most common and
popular vegetable cultivated throughout the country
except higher altitudes. In our country it is grown in an
area of 6.63 lakh ha with production of 12.51 million
tones and the productivity is 18868 kg/ha (Savaliyaet
al.,2017). The major objective in most brinjal breeding
programme is to improve the genetic potential for fruit
yield.
Success of any crop improvement programme is
mainly dependent upon the information regarding nature
and magnitude of gene effects controlling economic
quantitative traits. The knowledge about nature and
magnitude of fixable and non-fixable type of gene effects
controlling quantitative yield traits is essential in order to
achieve the genetic improvement in this crop. The
information on the nature of the gene action could be
helpful in predicting the effectiveness of selection in a
segregating population. A distinct knowledge of the type
of gene effect, its magnitude and composition of genetic
variance are of fundamental important to a plant breeder.
The efficient partitioning of genetic variance into its
components viz., additive, dominance and epistasis helps
in formulating an effective and sound breeding
programme.
Though brinjal is a common crop but as compared to
other solanaceous vegetable crops such as potato, tomato,
capsicum etc., low breeding efforts have been carried out
for developing potential hybrids and for genetic
improvement by exploiting local germplasm. Considering
this, an investigation was undertaken to evaluate the mode
of gene action such as additive, dominance and their
interactions (epistasis) for yield and its components by
scaling test and estimation of some genetic parameter
through generation mean analysis
II. MATERIAL AND METHODS
Crosses viz., Ac-2 x Annamalai (Cross I), EP-45 x
Annamalai (Cross II) and EP-89 x Annamalai(Cross III )
were made between four parents by manual emasculation
and pollen transfer. These crosses were further selfed and
advanced to produce F2 and F3. Generations viz., P1, P2,
F1, F2 and F3 were developed to study the genetic
interactions. A total of three populations (3 crosses) and
five generations of each cross were grown in Randomized
Complete Block Design (RCBD) with four replications.
Spacing adopted was 75 x 60 cm and the recommended
cultural practices were followed throughout the cropping
period. The experiment was conducted at APHC farm,
Adhiparasakthi Horticultural College, G. B. Nagar,
International journal ofHorticulture,Agriculture andFood science(IJHAF) Vol-2,Issue-6,Nov-Dec, 2018
https://dx.doi.org/10.22161/ijhaf.2.6.2 ISSN: 2456-8635
www.aipublications.com Page | 209
Kalavai. Observations were recorded on three characters
viz., number of fruits per plant (nos), individual fruit
weight (g) and total fruit yield per plant (g).
III. STATISTICAL ANALYSIS
Action of the genes controlling quantitative
characters can be described by the use of gene model.
Mean of five generation viz., P1, P2, F1, F2 and F3were
used to estimate genetic parameters following a perfect fit
solution given by Cavalli (1952). The mid-parental effect
(m) and the types of gene action viz., additive (d),
dominance (h), additive x additive (i) and dominance x
dominance (l) were determined using five parameter
model of generation mean analysis. The adequacy of
simple additive-dominance was detected by employing C
and D scaling test suggested by Mather and Jinks (1971).
The additive-dominance model was considered
inadequate when any one of the two scales was found to
deviate significantly from zero.
IV. RESULTS AND DISCUSSION
Breeding method for any crop improvement
programme is largely depends on the nature of gene
action prevailed. Study of gene effects controlling
different characters is therefore, a pre-requisite for
launching a systematic and meaningful crop improvement
programme. Quantitative characters which are of great
interest, are governed by large number of genes having
their own effects. These are too modified by several
environmental factors (Johansen, 1926). Thus, analysis at
the level of individual genes become impractical and
whole genome analysis over the totality of the gene
should be undertaken (Wright, 1956). The genetic
variability, thus, should be partitioned into its broad
components.
Most valuable genetic analysis of quantitative
characters can be said to have initiated with the work of
Fisher (1918). He showed that these character measure
continuous variation and fallow the Mendelian laws. He
partitioned hereditary variance into three components, (i)
an additive portion resulting fromaverage effects of gene,
(ii) a portion resulting from dominance effects (intra
allelic interaction) of genes, and (iii) a portion resulting
from epistatic effects (non-allelic interaction) of genes.
Hayman and Mather (1955) described the
digenic interactions in continuous variation. Such
partitioning of variation into its components requires
growing a large number of related generations under an
appropriate design. Hayman (1958) and Jink and Jones
(1958) have developed independently the method of
estimation of five genetic parameters using generation
means. These model are based on certain assumptions
such as (i) diploid inheritance,( ii) multiple allelism is
absent, (iii) linkage is absent, (iv) absence of lethal genes,
(v) constant variability for all genotypes and (vi)
environmental effects are additive with the genotypic
value.
In predominantly self-pollinated crops like
brinjal only additive component of genetic variation can
be utilized. Among the interaction effect additive x
additive type of interaction effect are more useful for the
breeders. Complementary epistasis can also be successful
exploited in the selection programme.
The present study was planned to estimate the
nature and magnitude of allelic and non-allelic
interactions in brinjal. Four elite genotypes differing in
many quantitative characters were chosen to generate
variability in three cross combinations. The five
generation of each of these crosses were grown and
observation were recorded on three important characters.
The discussions on the result obtained with regard to
nature of gene action are reported here and character wise
for all the three crosses
4.1 Number of fruits per plant
The result of scaling test either both or C and D
alone revealed significant values indicates the additive-
dominance model was not found adequate for all traits in
the three crosses. The failure of additive-dominance
model was attributed mainly due to the epistasis.
The cross II recorded negative and significant values for
scale C and D, whereas cross III had negative and
significant value for scale D alone. In all the crosses both
additive and additive x additive gene effects were found
significant for this trait. The ‘h’ and ‘l’ effects similar
signs in cross I and III and opposite in II indicated that the
type of epistasis were complimentary in cross I and III
and duplicate in II.
Table.1: Scaling test and gene effects for number of fruits per plant in three brinjal crosses.
Components Cross I
Ac-2 x Annamalai
Cross II
EP-45 x Annamalai
Cross III
EP-89 x Annamalai
Scale
C
D
-8.30 ±17.26*
9.35±12.06
-23.52±11.52*
-24.52±11.07*
-21.13±19.34
-24.95±12.52*
Gene effects
(m) mean 19.15±4.00** 24.89±4.53** 27.28±4.47**
International journal ofHorticulture,Agriculture andFood science(IJHAF) Vol-2,Issue-6,Nov-Dec, 2018
https://dx.doi.org/10.22161/ijhaf.2.6.2 ISSN: 2456-8635
www.aipublications.com Page | 210
(d) additive 6±1.59** 5±1.74** 5.63±1.81**
(h) dominance 4.20±11.64 11.58±13.84 16.56±12.76
(i)additive x additive 19.85±10.02* 21.25±10.54* 20.15±10.02*
(l) dominance x dominance 8.80±36.15 -.72±39.74 5.76±40.55
Type of epistasis Complementary Duplicate Complimentary
*Significant at 5 per cent level.
* Significant at 1 per cent level
4.2 Individual Fruit weight (g)
Significant values for scale C and D were
recorded for this trait in all the crosses. Additive and
Additive x Additive gene effects were significant in the
cross I whereas the cross II exhibited significant value for
additive variance only. In the third cross the value for
dominance x dominance gene effect was found
significant. It had been observed that all the crosses had
complimentary type of epistasis.
Table.2: Scaling test and gene effects for individual fruit weight per plant in three brinjal crosses.
Components Cross I
Ac-2 x Annamalai
Cross II
EP-45 x Annamalai
Cross III
EP-89 x Annamalai
Scale
C
D
-83.86 ±26.47**
-80.84±21.04**
-45.86±21.68**
-29.52±20.83
-77.34±21.12**
-19.78±12.52
Gene effects
(m) mean 56.72±6.16** 46.76±4.95** 38.79±4.95**
(d) additive 19.50±3.28** 5.50±2.00** -12.00±2.01**
(h) dominance 29.27±16.36 12.49±15.72 13.55±17.96
(i)additive x additive 78.92±17.32** 1.04±14.63 -23.70±14.83
(l) dominance x dominance 4.03±53.63 21.79±46.03 76.75±38.25*
Type of epistasis Complementary Complimentary Complimentary
*Significant at 5 per cent level.
* Significant at 1 per cent level
4.3 Total fruit yield per plant (g)
The values of scaling test C and D were highly
significant indicated the presence of epistasis in all the
three crosses for this trait. In all the crosses both additive
and additive x additive gene effects were found
significant. The type of epistasis were complimentary in
the cross I and duplicate in the crosses II and III. three
crosses with complementary type of epistasis in the cross
I and duplicate type of epistasis in the other two crosses
viz., Cross II and Cross III.
Table.3: Scaling test and gene effects for total fruit yield per plant in three brinjal crosses
Components Cross I
Ac-2 x Annamalai
Cross II
EP-45 x Annamalai
Cross III
EP-89 x Annamalai
Scale
C
D
-1229.86±123.66**
-1097.28±113.61**
-957.91±136.72**
-1590.97±107.73**
-1057.33±122.51**
-1087.31±125.45**
Gene effects
(m) mean 1025.54±27.06** 1130.51±30.04** 1030.63±27.21**
(d) additive 36.65±17.18* 137.53±14.10** 37.03±16.31*
(h) dominance 764.35±84.30** 1011.02±84.82** 709.56±91.65**
(i)additive x additive 599.84±86.68** 1176.05±91.23** 622.64±86.93**
(l) dominance x dominance 176.77±261.12 -844.08±297.46** -39.84±256.99
Type of epistasis Complementary Duplicate Duplicate
*Significant at 5 per cent level
* Significant at 1 per cent level
International journal ofHorticulture,Agriculture andFood science(IJHAF) Vol-2,Issue-6,Nov-Dec, 2018
https://dx.doi.org/10.22161/ijhaf.2.6.2 ISSN: 2456-8635
www.aipublications.com Page | 211
Present findings revealed the digenic control of all the
characters under study. Similar result has also been
reported by ChintanMistryet al.,(2016). Fruit yield per
plant being a complex character showed its genetic
control under additive, dominance and epistasis in all the
fruits per plant, individual fruit weight and total fruit yield
per plant showed significant additive and additive x
additive gene effect. This is in accordance with the
findings of Kathiria et al., (1998). The positive and
significant dominance and dominance x dominance gene
effects were also observed for the traits number of fruits
per plant, individual fruit weight and total fruit weight per
plant. Similar results were obtained by Singh et al.(2002).
Additive and Additive x Additive genetic variance is a
pre-requisite for genetic gain under selection, because this
is the only genetic variance which responds to selection
and it can be fixed in homozygous cultivars in crops like
brinjal while the variation due to dominance effects and
their interactions cannot be exploited effectively.
The phenomenon of duplicate epistasis is
unfavourable from the breeder’s point of view because of
its decreasing effect on the analysed trait (Zdravkovicet
al., 2000). The presence of duplicate epistasis would be
detrimental for rapid progress, making it difficult to fix
genotypes with increased level of character manifestation
because the positive effects of one parameter would be
cancelled out by the negative effect of another whereas
complementary type of epistasis is favourable effect in
breeding programme.
V. CONCLUSION
The characters governed by additive gene effects and
additive x additive gene interaction effects are fixable.
Also, the crosses which are governed by complementary
epistasis where sign of dominance gene effects and
dominance x dominance gene interaction effects are
similar are also worth for exploitation. Such crosses have
the potentiality to produce transgressivesegregants on the
positive side. Pedigree method of breeding followed by
simple selection in later segregating generations will be a
meaningful breeding strategy to be followed in such
crosses for the improvement of the characters under
consideration. On the other hand in case of duplicate type
of epistasis, selection in the early segregating generations
may not yield desirable recombinants. This may possible
be overcome by delaying the selection to later generations
otherwise, one or two cycle of intermating of segregating
population may be usefull to improve the characters.
Considering all the three crosses, the cross Ac-2 x
Annamalai had complimentary type of epistasis for all the
three traits including total yield per plant and this cross
was judged as the best cross for further selection.
REFERENCES
[1] L.L. Cavalli, An analysis of linkage in quantitative
inheritance,In: Reeve PCR, Waddington CH (Eds.)
Quantitative Inheritance HMSD and London,
1952,pp. 135-144
[2] M. Chintan, and K.B.Kathiria. Heritability and gene
effects for yield related quantitative traits in eggplant
(Solanummelongena L.)”, Annals of
Agri.Sci.,Vol.61, Is.2,2016, pp. 237-246
[3] R.A. Fisher, The genetic theory of natural selection,
Oxford Dever. Pub., New York. 1918.
[4] B.I. Hayman, The theory and analysis of diallel
crossesII, Genetics, Vol. 43, 1958, pp. 63-85..
[5] J.L. Jinks, and R.H. Jones, Estimation of
components of heterosis, Genetics, Vol. 43, 1958,
pp. 223-225
[6] W.L. Johansen, E.E.Siehre, G. Fischer, and C.F.
Jene, Principle of plant Breeding, R.W. Allard,
1926.
[7] K.B.Kathiria, M.H. Vaghasiya, M.K.Bhalala and
K.M.Doshi, A note on genetics of fruit yield
components in two crosses of
brinjal(Solanummelongena L.), Veg. Sci., 1998,
Vol. 25, Is. 1, pp. 199-200.
[8] K. Mather, Biometrical genetics, Ed.6, Dobers Pub.,
Inc. New York, 1949.
[9] N.Rai, A.K. Singh and D.A. Savnaik, Estimation of
variability, heritability and scope of improvement
for yield components in round brinjal
(Solanummelongena L.), Agri. sci. Digest, Karnal,
1998, Vol. 18, Is.3, pp. 187-190.
[10] M. Singh, G. Kalloo and M.K. Banerjee, Genetics of
yield and its components characters in brinjal
(Solanummelongena L.), Veg. Sci., 2002, Vol.29,
pp. 24-26.
[11] J. Zdravkovic, Z. Markovic, M. Mijatovic, M.
Zecevic and M. Zdravkovic, Epistatic gene effects
on the yield of the parents of F1, F2, BC1 and BC2
progeny in tomato, Acta Physiol. Plant., 2000, Vol.
22: pp. 261-265.
[12] S. Wright, Modes of selection, Amer. Nat., 1956,
Vol. 90: pp. 524.

More Related Content

What's hot

Biparental mating design
Biparental mating designBiparental mating design
Biparental mating designLokesh Gour
 
Genomic selection for crop improvement
Genomic selection for crop improvementGenomic selection for crop improvement
Genomic selection for crop improvementnagamani gorantla
 
Breeding methods in cross pollinated crops
Breeding methods in cross pollinated cropsBreeding methods in cross pollinated crops
Breeding methods in cross pollinated cropsANANDALEKSHMIL
 
ASSESSMENT OF VARIABILITY AND GENETIC VARIANCE
ASSESSMENT  OF VARIABILITY AND GENETIC VARIANCEASSESSMENT  OF VARIABILITY AND GENETIC VARIANCE
ASSESSMENT OF VARIABILITY AND GENETIC VARIANCEShekhAlisha
 
Advanced biometrical and quantitative genetics akshay
Advanced biometrical and quantitative genetics akshayAdvanced biometrical and quantitative genetics akshay
Advanced biometrical and quantitative genetics akshayAkshay Deshmukh
 
Intervarietal chromosomal substitution
Intervarietal chromosomal  substitutionIntervarietal chromosomal  substitution
Intervarietal chromosomal substitutionKartik Madankar
 
heritability, genetic advance ,G*E interaction
heritability, genetic advance ,G*E interactionheritability, genetic advance ,G*E interaction
heritability, genetic advance ,G*E interactionSunil Lakshman
 
Heritability , genetic advance
Heritability , genetic advanceHeritability , genetic advance
Heritability , genetic advancePawan Nagar
 
Biometrical Techniques in Plant Breeding
Biometrical Techniques in Plant Breeding Biometrical Techniques in Plant Breeding
Biometrical Techniques in Plant Breeding Akshay Deshmukh
 
Marker Assisted Gene Pyramiding for Disease Resistance in Rice
Marker Assisted Gene Pyramiding for Disease Resistance in RiceMarker Assisted Gene Pyramiding for Disease Resistance in Rice
Marker Assisted Gene Pyramiding for Disease Resistance in RiceIndrapratap1
 
Reverse Breeding
Reverse Breeding Reverse Breeding
Reverse Breeding ICRISAT
 
MAGIC populations and its role in crop improvement
MAGIC populations and its role in crop improvementMAGIC populations and its role in crop improvement
MAGIC populations and its role in crop improvementDr. Asit Prasad Dash
 
Correlation and Path analysis in breeding experiments
Correlation and Path analysis in breeding experimentsCorrelation and Path analysis in breeding experiments
Correlation and Path analysis in breeding experimentsankit dhillon
 

What's hot (20)

Wide cross and Bridge species
Wide cross and Bridge speciesWide cross and Bridge species
Wide cross and Bridge species
 
Presentation on Alien Substitution Lines
Presentation on Alien Substitution LinesPresentation on Alien Substitution Lines
Presentation on Alien Substitution Lines
 
Biparental mating design
Biparental mating designBiparental mating design
Biparental mating design
 
Vr wr graph
Vr wr  graphVr wr  graph
Vr wr graph
 
Magic population
Magic populationMagic population
Magic population
 
Genomic selection for crop improvement
Genomic selection for crop improvementGenomic selection for crop improvement
Genomic selection for crop improvement
 
Combining ability
Combining abilityCombining ability
Combining ability
 
Breeding methods in cross pollinated crops
Breeding methods in cross pollinated cropsBreeding methods in cross pollinated crops
Breeding methods in cross pollinated crops
 
Combining ability study
Combining ability study Combining ability study
Combining ability study
 
ASSESSMENT OF VARIABILITY AND GENETIC VARIANCE
ASSESSMENT  OF VARIABILITY AND GENETIC VARIANCEASSESSMENT  OF VARIABILITY AND GENETIC VARIANCE
ASSESSMENT OF VARIABILITY AND GENETIC VARIANCE
 
Advanced biometrical and quantitative genetics akshay
Advanced biometrical and quantitative genetics akshayAdvanced biometrical and quantitative genetics akshay
Advanced biometrical and quantitative genetics akshay
 
Intervarietal chromosomal substitution
Intervarietal chromosomal  substitutionIntervarietal chromosomal  substitution
Intervarietal chromosomal substitution
 
heritability, genetic advance ,G*E interaction
heritability, genetic advance ,G*E interactionheritability, genetic advance ,G*E interaction
heritability, genetic advance ,G*E interaction
 
Heritability , genetic advance
Heritability , genetic advanceHeritability , genetic advance
Heritability , genetic advance
 
Biometrical Techniques in Plant Breeding
Biometrical Techniques in Plant Breeding Biometrical Techniques in Plant Breeding
Biometrical Techniques in Plant Breeding
 
Marker Assisted Gene Pyramiding for Disease Resistance in Rice
Marker Assisted Gene Pyramiding for Disease Resistance in RiceMarker Assisted Gene Pyramiding for Disease Resistance in Rice
Marker Assisted Gene Pyramiding for Disease Resistance in Rice
 
Pre breeding
Pre breedingPre breeding
Pre breeding
 
Reverse Breeding
Reverse Breeding Reverse Breeding
Reverse Breeding
 
MAGIC populations and its role in crop improvement
MAGIC populations and its role in crop improvementMAGIC populations and its role in crop improvement
MAGIC populations and its role in crop improvement
 
Correlation and Path analysis in breeding experiments
Correlation and Path analysis in breeding experimentsCorrelation and Path analysis in breeding experiments
Correlation and Path analysis in breeding experiments
 

Similar to Gene Action for Yield and its Attributes by Generation Mean Analysis in Brinjal. (Solanummelongena L.)

Combining ability and heteroses analysis for seed yield and yield components ...
Combining ability and heteroses analysis for seed yield and yield components ...Combining ability and heteroses analysis for seed yield and yield components ...
Combining ability and heteroses analysis for seed yield and yield components ...Alexander Decker
 
Study on Genetic Variability, Heritability, Genetic Advance and Correlation a...
Study on Genetic Variability, Heritability, Genetic Advance and Correlation a...Study on Genetic Variability, Heritability, Genetic Advance and Correlation a...
Study on Genetic Variability, Heritability, Genetic Advance and Correlation a...IJEABJ
 
Genotype × Environment Interaction and Stability Analysis in Mungbean
Genotype × Environment Interaction and Stability Analysis in MungbeanGenotype × Environment Interaction and Stability Analysis in Mungbean
Genotype × Environment Interaction and Stability Analysis in MungbeanIOSR Journals
 
Variability, heritability and genetic advance analysis for grain yield in rice
Variability, heritability and genetic advance analysis for grain yield in riceVariability, heritability and genetic advance analysis for grain yield in rice
Variability, heritability and genetic advance analysis for grain yield in riceIJERA Editor
 
Combining Ability for Yield and Yield Components through Diallel Analysis in ...
Combining Ability for Yield and Yield Components through Diallel Analysis in ...Combining Ability for Yield and Yield Components through Diallel Analysis in ...
Combining Ability for Yield and Yield Components through Diallel Analysis in ...IOSR Journals
 
Recent approaches in quantitative genetics
Recent approaches in  quantitative geneticsRecent approaches in  quantitative genetics
Recent approaches in quantitative geneticsAlex Harley
 
Analysis of combining ability in blackgram (vigna mungo l.hepper)
Analysis of combining ability in blackgram (vigna mungo l.hepper)Analysis of combining ability in blackgram (vigna mungo l.hepper)
Analysis of combining ability in blackgram (vigna mungo l.hepper)Nirmal Parde
 
VARIABILITY STUDY IN F2 MATERIALS OF INTERVARIETAL CROSS OF BRINJAL (Solanum ...
VARIABILITY STUDY IN F2 MATERIALS OF INTERVARIETAL CROSS OF BRINJAL (Solanum ...VARIABILITY STUDY IN F2 MATERIALS OF INTERVARIETAL CROSS OF BRINJAL (Solanum ...
VARIABILITY STUDY IN F2 MATERIALS OF INTERVARIETAL CROSS OF BRINJAL (Solanum ...Moniruzzaman Shohag
 
Maternal genetic effect of resistance to rice yellow mottle virus disease in ...
Maternal genetic effect of resistance to rice yellow mottle virus disease in ...Maternal genetic effect of resistance to rice yellow mottle virus disease in ...
Maternal genetic effect of resistance to rice yellow mottle virus disease in ...Innspub Net
 
Generation Mean Analysis of Some Agronomic Traits in HB42xSabini Barley Cross
Generation Mean Analysis of Some Agronomic Traits in HB42xSabini Barley CrossGeneration Mean Analysis of Some Agronomic Traits in HB42xSabini Barley Cross
Generation Mean Analysis of Some Agronomic Traits in HB42xSabini Barley CrossPremier Publishers
 
Genetic variability and heritability studies in introgressed F6 progenies from
Genetic variability and heritability studies in introgressed F6 progenies fromGenetic variability and heritability studies in introgressed F6 progenies from
Genetic variability and heritability studies in introgressed F6 progenies fromNirmal Parde
 
A Survey of Yield Differences Between Transgenic and Non-Transgenic Crops
A Survey of Yield Differences Between Transgenic and Non-Transgenic CropsA Survey of Yield Differences Between Transgenic and Non-Transgenic Crops
A Survey of Yield Differences Between Transgenic and Non-Transgenic CropsTurlough Guerin GAICD FGIA
 
Heterosis, Combining ability and Phenotypic Correlation for Some Economic Tra...
Heterosis, Combining ability and Phenotypic Correlation for Some Economic Tra...Heterosis, Combining ability and Phenotypic Correlation for Some Economic Tra...
Heterosis, Combining ability and Phenotypic Correlation for Some Economic Tra...Galal Anis, PhD
 
Genetic Divergence Studies for Quantative and Quality Traits in Tomato (Solan...
Genetic Divergence Studies for Quantative and Quality Traits in Tomato (Solan...Genetic Divergence Studies for Quantative and Quality Traits in Tomato (Solan...
Genetic Divergence Studies for Quantative and Quality Traits in Tomato (Solan...IJEAB
 
Genetic Variability, Heritability for Late leaf Spot tolerance and Productivi...
Genetic Variability, Heritability for Late leaf Spot tolerance and Productivi...Genetic Variability, Heritability for Late leaf Spot tolerance and Productivi...
Genetic Variability, Heritability for Late leaf Spot tolerance and Productivi...IOSR Journals
 
Correlation and Path Analysis of Groundnut (Arachis hypogaea L.) Genotypes in...
Correlation and Path Analysis of Groundnut (Arachis hypogaea L.) Genotypes in...Correlation and Path Analysis of Groundnut (Arachis hypogaea L.) Genotypes in...
Correlation and Path Analysis of Groundnut (Arachis hypogaea L.) Genotypes in...Premier Publishers
 

Similar to Gene Action for Yield and its Attributes by Generation Mean Analysis in Brinjal. (Solanummelongena L.) (20)

Combining ability and heteroses analysis for seed yield and yield components ...
Combining ability and heteroses analysis for seed yield and yield components ...Combining ability and heteroses analysis for seed yield and yield components ...
Combining ability and heteroses analysis for seed yield and yield components ...
 
GENETIC DIVERSITY IN HORSEGRAM
GENETIC DIVERSITY IN HORSEGRAMGENETIC DIVERSITY IN HORSEGRAM
GENETIC DIVERSITY IN HORSEGRAM
 
Study on Genetic Variability, Heritability, Genetic Advance and Correlation a...
Study on Genetic Variability, Heritability, Genetic Advance and Correlation a...Study on Genetic Variability, Heritability, Genetic Advance and Correlation a...
Study on Genetic Variability, Heritability, Genetic Advance and Correlation a...
 
Aa renu 1
Aa renu 1Aa renu 1
Aa renu 1
 
Brassica
BrassicaBrassica
Brassica
 
Genotype × Environment Interaction and Stability Analysis in Mungbean
Genotype × Environment Interaction and Stability Analysis in MungbeanGenotype × Environment Interaction and Stability Analysis in Mungbean
Genotype × Environment Interaction and Stability Analysis in Mungbean
 
Variability, heritability and genetic advance analysis for grain yield in rice
Variability, heritability and genetic advance analysis for grain yield in riceVariability, heritability and genetic advance analysis for grain yield in rice
Variability, heritability and genetic advance analysis for grain yield in rice
 
Combining Ability for Yield and Yield Components through Diallel Analysis in ...
Combining Ability for Yield and Yield Components through Diallel Analysis in ...Combining Ability for Yield and Yield Components through Diallel Analysis in ...
Combining Ability for Yield and Yield Components through Diallel Analysis in ...
 
Recent approaches in quantitative genetics
Recent approaches in  quantitative geneticsRecent approaches in  quantitative genetics
Recent approaches in quantitative genetics
 
Analysis of combining ability in blackgram (vigna mungo l.hepper)
Analysis of combining ability in blackgram (vigna mungo l.hepper)Analysis of combining ability in blackgram (vigna mungo l.hepper)
Analysis of combining ability in blackgram (vigna mungo l.hepper)
 
VARIABILITY STUDY IN F2 MATERIALS OF INTERVARIETAL CROSS OF BRINJAL (Solanum ...
VARIABILITY STUDY IN F2 MATERIALS OF INTERVARIETAL CROSS OF BRINJAL (Solanum ...VARIABILITY STUDY IN F2 MATERIALS OF INTERVARIETAL CROSS OF BRINJAL (Solanum ...
VARIABILITY STUDY IN F2 MATERIALS OF INTERVARIETAL CROSS OF BRINJAL (Solanum ...
 
P.4 10 review of literature
P.4 10 review of literatureP.4 10 review of literature
P.4 10 review of literature
 
Maternal genetic effect of resistance to rice yellow mottle virus disease in ...
Maternal genetic effect of resistance to rice yellow mottle virus disease in ...Maternal genetic effect of resistance to rice yellow mottle virus disease in ...
Maternal genetic effect of resistance to rice yellow mottle virus disease in ...
 
Generation Mean Analysis of Some Agronomic Traits in HB42xSabini Barley Cross
Generation Mean Analysis of Some Agronomic Traits in HB42xSabini Barley CrossGeneration Mean Analysis of Some Agronomic Traits in HB42xSabini Barley Cross
Generation Mean Analysis of Some Agronomic Traits in HB42xSabini Barley Cross
 
Genetic variability and heritability studies in introgressed F6 progenies from
Genetic variability and heritability studies in introgressed F6 progenies fromGenetic variability and heritability studies in introgressed F6 progenies from
Genetic variability and heritability studies in introgressed F6 progenies from
 
A Survey of Yield Differences Between Transgenic and Non-Transgenic Crops
A Survey of Yield Differences Between Transgenic and Non-Transgenic CropsA Survey of Yield Differences Between Transgenic and Non-Transgenic Crops
A Survey of Yield Differences Between Transgenic and Non-Transgenic Crops
 
Heterosis, Combining ability and Phenotypic Correlation for Some Economic Tra...
Heterosis, Combining ability and Phenotypic Correlation for Some Economic Tra...Heterosis, Combining ability and Phenotypic Correlation for Some Economic Tra...
Heterosis, Combining ability and Phenotypic Correlation for Some Economic Tra...
 
Genetic Divergence Studies for Quantative and Quality Traits in Tomato (Solan...
Genetic Divergence Studies for Quantative and Quality Traits in Tomato (Solan...Genetic Divergence Studies for Quantative and Quality Traits in Tomato (Solan...
Genetic Divergence Studies for Quantative and Quality Traits in Tomato (Solan...
 
Genetic Variability, Heritability for Late leaf Spot tolerance and Productivi...
Genetic Variability, Heritability for Late leaf Spot tolerance and Productivi...Genetic Variability, Heritability for Late leaf Spot tolerance and Productivi...
Genetic Variability, Heritability for Late leaf Spot tolerance and Productivi...
 
Correlation and Path Analysis of Groundnut (Arachis hypogaea L.) Genotypes in...
Correlation and Path Analysis of Groundnut (Arachis hypogaea L.) Genotypes in...Correlation and Path Analysis of Groundnut (Arachis hypogaea L.) Genotypes in...
Correlation and Path Analysis of Groundnut (Arachis hypogaea L.) Genotypes in...
 

More from AI Publications

The Statutory Interpretation of Renewable Energy Based on Syllogism of Britis...
The Statutory Interpretation of Renewable Energy Based on Syllogism of Britis...The Statutory Interpretation of Renewable Energy Based on Syllogism of Britis...
The Statutory Interpretation of Renewable Energy Based on Syllogism of Britis...AI Publications
 
Enhancement of Aqueous Solubility of Piroxicam Using Solvent Deposition System
Enhancement of Aqueous Solubility of Piroxicam Using Solvent Deposition SystemEnhancement of Aqueous Solubility of Piroxicam Using Solvent Deposition System
Enhancement of Aqueous Solubility of Piroxicam Using Solvent Deposition SystemAI Publications
 
Analysis of Value Chain of Cow Milk: The Case of Itang Special Woreda, Gambel...
Analysis of Value Chain of Cow Milk: The Case of Itang Special Woreda, Gambel...Analysis of Value Chain of Cow Milk: The Case of Itang Special Woreda, Gambel...
Analysis of Value Chain of Cow Milk: The Case of Itang Special Woreda, Gambel...AI Publications
 
Minds and Machines: Impact of Emotional Intelligence on Investment Decisions ...
Minds and Machines: Impact of Emotional Intelligence on Investment Decisions ...Minds and Machines: Impact of Emotional Intelligence on Investment Decisions ...
Minds and Machines: Impact of Emotional Intelligence on Investment Decisions ...AI Publications
 
Lung cancer: “Epidemiology and risk factors”
Lung cancer: “Epidemiology and risk factors”Lung cancer: “Epidemiology and risk factors”
Lung cancer: “Epidemiology and risk factors”AI Publications
 
Further analysis on Organic agriculture and organic farming in case of Thaila...
Further analysis on Organic agriculture and organic farming in case of Thaila...Further analysis on Organic agriculture and organic farming in case of Thaila...
Further analysis on Organic agriculture and organic farming in case of Thaila...AI Publications
 
Current Changes in the Role of Agriculture and Agri-Farming Structures in Tha...
Current Changes in the Role of Agriculture and Agri-Farming Structures in Tha...Current Changes in the Role of Agriculture and Agri-Farming Structures in Tha...
Current Changes in the Role of Agriculture and Agri-Farming Structures in Tha...AI Publications
 
Growth, Yield and Economic Advantage of Onion (Allium cepa L.) Varieties in R...
Growth, Yield and Economic Advantage of Onion (Allium cepa L.) Varieties in R...Growth, Yield and Economic Advantage of Onion (Allium cepa L.) Varieties in R...
Growth, Yield and Economic Advantage of Onion (Allium cepa L.) Varieties in R...AI Publications
 
Evaluation of In-vitro neuroprotective effect of Ethanolic extract of Canariu...
Evaluation of In-vitro neuroprotective effect of Ethanolic extract of Canariu...Evaluation of In-vitro neuroprotective effect of Ethanolic extract of Canariu...
Evaluation of In-vitro neuroprotective effect of Ethanolic extract of Canariu...AI Publications
 
Neuroprotective Herbal Plants - A Review
Neuroprotective Herbal Plants - A ReviewNeuroprotective Herbal Plants - A Review
Neuroprotective Herbal Plants - A ReviewAI Publications
 
A phytochemical and pharmacological review on canarium solomonense
A phytochemical and pharmacological review on canarium solomonenseA phytochemical and pharmacological review on canarium solomonense
A phytochemical and pharmacological review on canarium solomonenseAI Publications
 
Influences of Digital Marketing in the Buying Decisions of College Students i...
Influences of Digital Marketing in the Buying Decisions of College Students i...Influences of Digital Marketing in the Buying Decisions of College Students i...
Influences of Digital Marketing in the Buying Decisions of College Students i...AI Publications
 
A Study on Performance of the Karnataka State Cooperative Agriculture & Rural...
A Study on Performance of the Karnataka State Cooperative Agriculture & Rural...A Study on Performance of the Karnataka State Cooperative Agriculture & Rural...
A Study on Performance of the Karnataka State Cooperative Agriculture & Rural...AI Publications
 
Imaging of breast hamartomas
Imaging of breast hamartomasImaging of breast hamartomas
Imaging of breast hamartomasAI Publications
 
A retrospective study on ovarian cancer with a median follow-up of 36 months ...
A retrospective study on ovarian cancer with a median follow-up of 36 months ...A retrospective study on ovarian cancer with a median follow-up of 36 months ...
A retrospective study on ovarian cancer with a median follow-up of 36 months ...AI Publications
 
More analysis on environment protection and sustainable agriculture - A case ...
More analysis on environment protection and sustainable agriculture - A case ...More analysis on environment protection and sustainable agriculture - A case ...
More analysis on environment protection and sustainable agriculture - A case ...AI Publications
 
Assessment of Growth and Yield Performance of Twelve Different Rice Varieties...
Assessment of Growth and Yield Performance of Twelve Different Rice Varieties...Assessment of Growth and Yield Performance of Twelve Different Rice Varieties...
Assessment of Growth and Yield Performance of Twelve Different Rice Varieties...AI Publications
 
Cultivating Proactive Cybersecurity Culture among IT Professional to Combat E...
Cultivating Proactive Cybersecurity Culture among IT Professional to Combat E...Cultivating Proactive Cybersecurity Culture among IT Professional to Combat E...
Cultivating Proactive Cybersecurity Culture among IT Professional to Combat E...AI Publications
 
The Impacts of Viral Hepatitis on Liver Enzymes and Bilrubin
The Impacts of Viral Hepatitis on Liver Enzymes and BilrubinThe Impacts of Viral Hepatitis on Liver Enzymes and Bilrubin
The Impacts of Viral Hepatitis on Liver Enzymes and BilrubinAI Publications
 
Determinants of Women Empowerment in Bishoftu Town; Oromia Regional State of ...
Determinants of Women Empowerment in Bishoftu Town; Oromia Regional State of ...Determinants of Women Empowerment in Bishoftu Town; Oromia Regional State of ...
Determinants of Women Empowerment in Bishoftu Town; Oromia Regional State of ...AI Publications
 

More from AI Publications (20)

The Statutory Interpretation of Renewable Energy Based on Syllogism of Britis...
The Statutory Interpretation of Renewable Energy Based on Syllogism of Britis...The Statutory Interpretation of Renewable Energy Based on Syllogism of Britis...
The Statutory Interpretation of Renewable Energy Based on Syllogism of Britis...
 
Enhancement of Aqueous Solubility of Piroxicam Using Solvent Deposition System
Enhancement of Aqueous Solubility of Piroxicam Using Solvent Deposition SystemEnhancement of Aqueous Solubility of Piroxicam Using Solvent Deposition System
Enhancement of Aqueous Solubility of Piroxicam Using Solvent Deposition System
 
Analysis of Value Chain of Cow Milk: The Case of Itang Special Woreda, Gambel...
Analysis of Value Chain of Cow Milk: The Case of Itang Special Woreda, Gambel...Analysis of Value Chain of Cow Milk: The Case of Itang Special Woreda, Gambel...
Analysis of Value Chain of Cow Milk: The Case of Itang Special Woreda, Gambel...
 
Minds and Machines: Impact of Emotional Intelligence on Investment Decisions ...
Minds and Machines: Impact of Emotional Intelligence on Investment Decisions ...Minds and Machines: Impact of Emotional Intelligence on Investment Decisions ...
Minds and Machines: Impact of Emotional Intelligence on Investment Decisions ...
 
Lung cancer: “Epidemiology and risk factors”
Lung cancer: “Epidemiology and risk factors”Lung cancer: “Epidemiology and risk factors”
Lung cancer: “Epidemiology and risk factors”
 
Further analysis on Organic agriculture and organic farming in case of Thaila...
Further analysis on Organic agriculture and organic farming in case of Thaila...Further analysis on Organic agriculture and organic farming in case of Thaila...
Further analysis on Organic agriculture and organic farming in case of Thaila...
 
Current Changes in the Role of Agriculture and Agri-Farming Structures in Tha...
Current Changes in the Role of Agriculture and Agri-Farming Structures in Tha...Current Changes in the Role of Agriculture and Agri-Farming Structures in Tha...
Current Changes in the Role of Agriculture and Agri-Farming Structures in Tha...
 
Growth, Yield and Economic Advantage of Onion (Allium cepa L.) Varieties in R...
Growth, Yield and Economic Advantage of Onion (Allium cepa L.) Varieties in R...Growth, Yield and Economic Advantage of Onion (Allium cepa L.) Varieties in R...
Growth, Yield and Economic Advantage of Onion (Allium cepa L.) Varieties in R...
 
Evaluation of In-vitro neuroprotective effect of Ethanolic extract of Canariu...
Evaluation of In-vitro neuroprotective effect of Ethanolic extract of Canariu...Evaluation of In-vitro neuroprotective effect of Ethanolic extract of Canariu...
Evaluation of In-vitro neuroprotective effect of Ethanolic extract of Canariu...
 
Neuroprotective Herbal Plants - A Review
Neuroprotective Herbal Plants - A ReviewNeuroprotective Herbal Plants - A Review
Neuroprotective Herbal Plants - A Review
 
A phytochemical and pharmacological review on canarium solomonense
A phytochemical and pharmacological review on canarium solomonenseA phytochemical and pharmacological review on canarium solomonense
A phytochemical and pharmacological review on canarium solomonense
 
Influences of Digital Marketing in the Buying Decisions of College Students i...
Influences of Digital Marketing in the Buying Decisions of College Students i...Influences of Digital Marketing in the Buying Decisions of College Students i...
Influences of Digital Marketing in the Buying Decisions of College Students i...
 
A Study on Performance of the Karnataka State Cooperative Agriculture & Rural...
A Study on Performance of the Karnataka State Cooperative Agriculture & Rural...A Study on Performance of the Karnataka State Cooperative Agriculture & Rural...
A Study on Performance of the Karnataka State Cooperative Agriculture & Rural...
 
Imaging of breast hamartomas
Imaging of breast hamartomasImaging of breast hamartomas
Imaging of breast hamartomas
 
A retrospective study on ovarian cancer with a median follow-up of 36 months ...
A retrospective study on ovarian cancer with a median follow-up of 36 months ...A retrospective study on ovarian cancer with a median follow-up of 36 months ...
A retrospective study on ovarian cancer with a median follow-up of 36 months ...
 
More analysis on environment protection and sustainable agriculture - A case ...
More analysis on environment protection and sustainable agriculture - A case ...More analysis on environment protection and sustainable agriculture - A case ...
More analysis on environment protection and sustainable agriculture - A case ...
 
Assessment of Growth and Yield Performance of Twelve Different Rice Varieties...
Assessment of Growth and Yield Performance of Twelve Different Rice Varieties...Assessment of Growth and Yield Performance of Twelve Different Rice Varieties...
Assessment of Growth and Yield Performance of Twelve Different Rice Varieties...
 
Cultivating Proactive Cybersecurity Culture among IT Professional to Combat E...
Cultivating Proactive Cybersecurity Culture among IT Professional to Combat E...Cultivating Proactive Cybersecurity Culture among IT Professional to Combat E...
Cultivating Proactive Cybersecurity Culture among IT Professional to Combat E...
 
The Impacts of Viral Hepatitis on Liver Enzymes and Bilrubin
The Impacts of Viral Hepatitis on Liver Enzymes and BilrubinThe Impacts of Viral Hepatitis on Liver Enzymes and Bilrubin
The Impacts of Viral Hepatitis on Liver Enzymes and Bilrubin
 
Determinants of Women Empowerment in Bishoftu Town; Oromia Regional State of ...
Determinants of Women Empowerment in Bishoftu Town; Oromia Regional State of ...Determinants of Women Empowerment in Bishoftu Town; Oromia Regional State of ...
Determinants of Women Empowerment in Bishoftu Town; Oromia Regional State of ...
 

Recently uploaded

(SUNAINA) Call Girls Alandi Road ( 7001035870 ) HI-Fi Pune Escorts Service
(SUNAINA) Call Girls Alandi Road ( 7001035870 ) HI-Fi Pune Escorts Service(SUNAINA) Call Girls Alandi Road ( 7001035870 ) HI-Fi Pune Escorts Service
(SUNAINA) Call Girls Alandi Road ( 7001035870 ) HI-Fi Pune Escorts Serviceranjana rawat
 
(PRIYA) Call Girls Budhwar Peth ( 7001035870 ) HI-Fi Pune Escorts Service
(PRIYA) Call Girls Budhwar Peth ( 7001035870 ) HI-Fi Pune Escorts Service(PRIYA) Call Girls Budhwar Peth ( 7001035870 ) HI-Fi Pune Escorts Service
(PRIYA) Call Girls Budhwar Peth ( 7001035870 ) HI-Fi Pune Escorts Serviceranjana rawat
 
VIP Russian Call Girls in Cuttack Deepika 8250192130 Independent Escort Servi...
VIP Russian Call Girls in Cuttack Deepika 8250192130 Independent Escort Servi...VIP Russian Call Girls in Cuttack Deepika 8250192130 Independent Escort Servi...
VIP Russian Call Girls in Cuttack Deepika 8250192130 Independent Escort Servi...Suhani Kapoor
 
VIP Call Girl Bikaner Aashi 8250192130 Independent Escort Service Bikaner
VIP Call Girl Bikaner Aashi 8250192130 Independent Escort Service BikanerVIP Call Girl Bikaner Aashi 8250192130 Independent Escort Service Bikaner
VIP Call Girl Bikaner Aashi 8250192130 Independent Escort Service BikanerSuhani Kapoor
 
Call Girls Laxmi Nagar Delhi reach out to us at ☎ 9711199012
Call Girls Laxmi Nagar Delhi reach out to us at ☎ 9711199012Call Girls Laxmi Nagar Delhi reach out to us at ☎ 9711199012
Call Girls Laxmi Nagar Delhi reach out to us at ☎ 9711199012rehmti665
 
Ho Sexy Call Girl in Mira Road Bhayandar | ₹,7500 With Free Delivery, Kashimi...
Ho Sexy Call Girl in Mira Road Bhayandar | ₹,7500 With Free Delivery, Kashimi...Ho Sexy Call Girl in Mira Road Bhayandar | ₹,7500 With Free Delivery, Kashimi...
Ho Sexy Call Girl in Mira Road Bhayandar | ₹,7500 With Free Delivery, Kashimi...Pooja Nehwal
 
Low Rate Call Girls Nagpur Esha Call 7001035870 Meet With Nagpur Escorts
Low Rate Call Girls Nagpur Esha Call 7001035870 Meet With Nagpur EscortsLow Rate Call Girls Nagpur Esha Call 7001035870 Meet With Nagpur Escorts
Low Rate Call Girls Nagpur Esha Call 7001035870 Meet With Nagpur Escortsranjana rawat
 
BPP NC II Lesson 3 - Pastry Products.pptx
BPP NC II Lesson 3 - Pastry Products.pptxBPP NC II Lesson 3 - Pastry Products.pptx
BPP NC II Lesson 3 - Pastry Products.pptxmaricel769799
 
NO1 Trending kala jadu karne wale ka contact number kala jadu karne wale baba...
NO1 Trending kala jadu karne wale ka contact number kala jadu karne wale baba...NO1 Trending kala jadu karne wale ka contact number kala jadu karne wale baba...
NO1 Trending kala jadu karne wale ka contact number kala jadu karne wale baba...Amil baba
 
(ASHA) Sb Road Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Escorts
(ASHA) Sb Road Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Escorts(ASHA) Sb Road Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Escorts
(ASHA) Sb Road Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Escortsranjana rawat
 
thanksgiving dinner and more information
thanksgiving dinner and more informationthanksgiving dinner and more information
thanksgiving dinner and more informationlialiaskou00
 
VIP Call Girls In Singar Nagar ( Lucknow ) 🔝 8923113531 🔝 Cash Payment Avai...
VIP Call Girls In Singar Nagar ( Lucknow  ) 🔝 8923113531 🔝  Cash Payment Avai...VIP Call Girls In Singar Nagar ( Lucknow  ) 🔝 8923113531 🔝  Cash Payment Avai...
VIP Call Girls In Singar Nagar ( Lucknow ) 🔝 8923113531 🔝 Cash Payment Avai...anilsa9823
 
VIP Kolkata Call Girl Jadavpur 👉 8250192130 Available With Room
VIP Kolkata Call Girl Jadavpur 👉 8250192130  Available With RoomVIP Kolkata Call Girl Jadavpur 👉 8250192130  Available With Room
VIP Kolkata Call Girl Jadavpur 👉 8250192130 Available With Roomdivyansh0kumar0
 
High Class Call Girls Nashik Priya 7001305949 Independent Escort Service Nashik
High Class Call Girls Nashik Priya 7001305949 Independent Escort Service NashikHigh Class Call Girls Nashik Priya 7001305949 Independent Escort Service Nashik
High Class Call Girls Nashik Priya 7001305949 Independent Escort Service Nashikranjana rawat
 
THE ARTISANAL SALT OF SAN VICENTE, ILOCOS SUR: A CASE STUDY
THE ARTISANAL SALT OF SAN VICENTE, ILOCOS SUR: A CASE STUDYTHE ARTISANAL SALT OF SAN VICENTE, ILOCOS SUR: A CASE STUDY
THE ARTISANAL SALT OF SAN VICENTE, ILOCOS SUR: A CASE STUDYHumphrey A Beña
 
Russian Call Girls in Nashik Riya 7001305949 Independent Escort Service Nashik
Russian Call Girls in Nashik Riya 7001305949 Independent Escort Service NashikRussian Call Girls in Nashik Riya 7001305949 Independent Escort Service Nashik
Russian Call Girls in Nashik Riya 7001305949 Independent Escort Service Nashikranjana rawat
 
VIP Russian Call Girls in Noida Deepika 8250192130 Independent Escort Service...
VIP Russian Call Girls in Noida Deepika 8250192130 Independent Escort Service...VIP Russian Call Girls in Noida Deepika 8250192130 Independent Escort Service...
VIP Russian Call Girls in Noida Deepika 8250192130 Independent Escort Service...Suhani Kapoor
 
Call Girl Nashik Khushi 7001305949 Independent Escort Service Nashik
Call Girl Nashik Khushi 7001305949 Independent Escort Service NashikCall Girl Nashik Khushi 7001305949 Independent Escort Service Nashik
Call Girl Nashik Khushi 7001305949 Independent Escort Service Nashikranjana rawat
 

Recently uploaded (20)

(SUNAINA) Call Girls Alandi Road ( 7001035870 ) HI-Fi Pune Escorts Service
(SUNAINA) Call Girls Alandi Road ( 7001035870 ) HI-Fi Pune Escorts Service(SUNAINA) Call Girls Alandi Road ( 7001035870 ) HI-Fi Pune Escorts Service
(SUNAINA) Call Girls Alandi Road ( 7001035870 ) HI-Fi Pune Escorts Service
 
(PRIYA) Call Girls Budhwar Peth ( 7001035870 ) HI-Fi Pune Escorts Service
(PRIYA) Call Girls Budhwar Peth ( 7001035870 ) HI-Fi Pune Escorts Service(PRIYA) Call Girls Budhwar Peth ( 7001035870 ) HI-Fi Pune Escorts Service
(PRIYA) Call Girls Budhwar Peth ( 7001035870 ) HI-Fi Pune Escorts Service
 
VIP Russian Call Girls in Cuttack Deepika 8250192130 Independent Escort Servi...
VIP Russian Call Girls in Cuttack Deepika 8250192130 Independent Escort Servi...VIP Russian Call Girls in Cuttack Deepika 8250192130 Independent Escort Servi...
VIP Russian Call Girls in Cuttack Deepika 8250192130 Independent Escort Servi...
 
VIP Call Girl Bikaner Aashi 8250192130 Independent Escort Service Bikaner
VIP Call Girl Bikaner Aashi 8250192130 Independent Escort Service BikanerVIP Call Girl Bikaner Aashi 8250192130 Independent Escort Service Bikaner
VIP Call Girl Bikaner Aashi 8250192130 Independent Escort Service Bikaner
 
Call Girls Laxmi Nagar Delhi reach out to us at ☎ 9711199012
Call Girls Laxmi Nagar Delhi reach out to us at ☎ 9711199012Call Girls Laxmi Nagar Delhi reach out to us at ☎ 9711199012
Call Girls Laxmi Nagar Delhi reach out to us at ☎ 9711199012
 
Ho Sexy Call Girl in Mira Road Bhayandar | ₹,7500 With Free Delivery, Kashimi...
Ho Sexy Call Girl in Mira Road Bhayandar | ₹,7500 With Free Delivery, Kashimi...Ho Sexy Call Girl in Mira Road Bhayandar | ₹,7500 With Free Delivery, Kashimi...
Ho Sexy Call Girl in Mira Road Bhayandar | ₹,7500 With Free Delivery, Kashimi...
 
Low Rate Call Girls Nagpur Esha Call 7001035870 Meet With Nagpur Escorts
Low Rate Call Girls Nagpur Esha Call 7001035870 Meet With Nagpur EscortsLow Rate Call Girls Nagpur Esha Call 7001035870 Meet With Nagpur Escorts
Low Rate Call Girls Nagpur Esha Call 7001035870 Meet With Nagpur Escorts
 
young Whatsapp Call Girls in Jamuna Vihar 🔝 9953056974 🔝 escort service
young Whatsapp Call Girls in Jamuna Vihar 🔝 9953056974 🔝 escort serviceyoung Whatsapp Call Girls in Jamuna Vihar 🔝 9953056974 🔝 escort service
young Whatsapp Call Girls in Jamuna Vihar 🔝 9953056974 🔝 escort service
 
BPP NC II Lesson 3 - Pastry Products.pptx
BPP NC II Lesson 3 - Pastry Products.pptxBPP NC II Lesson 3 - Pastry Products.pptx
BPP NC II Lesson 3 - Pastry Products.pptx
 
NO1 Trending kala jadu karne wale ka contact number kala jadu karne wale baba...
NO1 Trending kala jadu karne wale ka contact number kala jadu karne wale baba...NO1 Trending kala jadu karne wale ka contact number kala jadu karne wale baba...
NO1 Trending kala jadu karne wale ka contact number kala jadu karne wale baba...
 
(ASHA) Sb Road Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Escorts
(ASHA) Sb Road Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Escorts(ASHA) Sb Road Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Escorts
(ASHA) Sb Road Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Escorts
 
thanksgiving dinner and more information
thanksgiving dinner and more informationthanksgiving dinner and more information
thanksgiving dinner and more information
 
VIP Call Girls In Singar Nagar ( Lucknow ) 🔝 8923113531 🔝 Cash Payment Avai...
VIP Call Girls In Singar Nagar ( Lucknow  ) 🔝 8923113531 🔝  Cash Payment Avai...VIP Call Girls In Singar Nagar ( Lucknow  ) 🔝 8923113531 🔝  Cash Payment Avai...
VIP Call Girls In Singar Nagar ( Lucknow ) 🔝 8923113531 🔝 Cash Payment Avai...
 
VIP Kolkata Call Girl Jadavpur 👉 8250192130 Available With Room
VIP Kolkata Call Girl Jadavpur 👉 8250192130  Available With RoomVIP Kolkata Call Girl Jadavpur 👉 8250192130  Available With Room
VIP Kolkata Call Girl Jadavpur 👉 8250192130 Available With Room
 
High Class Call Girls Nashik Priya 7001305949 Independent Escort Service Nashik
High Class Call Girls Nashik Priya 7001305949 Independent Escort Service NashikHigh Class Call Girls Nashik Priya 7001305949 Independent Escort Service Nashik
High Class Call Girls Nashik Priya 7001305949 Independent Escort Service Nashik
 
THE ARTISANAL SALT OF SAN VICENTE, ILOCOS SUR: A CASE STUDY
THE ARTISANAL SALT OF SAN VICENTE, ILOCOS SUR: A CASE STUDYTHE ARTISANAL SALT OF SAN VICENTE, ILOCOS SUR: A CASE STUDY
THE ARTISANAL SALT OF SAN VICENTE, ILOCOS SUR: A CASE STUDY
 
Call Girls In Ramesh Nagar꧁❤ 🔝 9953056974🔝❤꧂ Escort ServiCe
Call Girls In Ramesh Nagar꧁❤ 🔝 9953056974🔝❤꧂ Escort ServiCeCall Girls In Ramesh Nagar꧁❤ 🔝 9953056974🔝❤꧂ Escort ServiCe
Call Girls In Ramesh Nagar꧁❤ 🔝 9953056974🔝❤꧂ Escort ServiCe
 
Russian Call Girls in Nashik Riya 7001305949 Independent Escort Service Nashik
Russian Call Girls in Nashik Riya 7001305949 Independent Escort Service NashikRussian Call Girls in Nashik Riya 7001305949 Independent Escort Service Nashik
Russian Call Girls in Nashik Riya 7001305949 Independent Escort Service Nashik
 
VIP Russian Call Girls in Noida Deepika 8250192130 Independent Escort Service...
VIP Russian Call Girls in Noida Deepika 8250192130 Independent Escort Service...VIP Russian Call Girls in Noida Deepika 8250192130 Independent Escort Service...
VIP Russian Call Girls in Noida Deepika 8250192130 Independent Escort Service...
 
Call Girl Nashik Khushi 7001305949 Independent Escort Service Nashik
Call Girl Nashik Khushi 7001305949 Independent Escort Service NashikCall Girl Nashik Khushi 7001305949 Independent Escort Service Nashik
Call Girl Nashik Khushi 7001305949 Independent Escort Service Nashik
 

Gene Action for Yield and its Attributes by Generation Mean Analysis in Brinjal. (Solanummelongena L.)

  • 1. International journal ofHorticulture,Agriculture andFood science(IJHAF) Vol-2,Issue-6,Nov-Dec, 2018 https://dx.doi.org/10.22161/ijhaf.2.6.2 ISSN: 2456-8635 www.aipublications.com Page | 208 Gene Action for Yield and its Attributes by Generation Mean Analysis in Brinjal. (Solanummelongena L.) R. Gunasekar1, K. Manivannan2 and M. Kannan3 1 Adhiparasakthi Horticultural College, G.B.Nagar, Kalavai-632 506, Tamil Nadu, India Email: guna.genhort@gmail.com 2Annamalai University, Annamalai Nagar-608002, Tamil Nadu, India 3Adhiparasakthi Horticultural College, G.B.Nagar, Kalavai-632 506, Tamil Nadu, India Abstract— Genetic studies assist the breeder in understanding the inheritance mechanism and enhance the efficiency of a breeding programme. Knowledge of gene action and their relative contribution in expression of character is of great importance. Eggplant yield depends on two components viz., fruit weight and number of fruits per plant. These traits are quantitative and therefore influenced by multiple genes. The objective of this study was to estimate the main gene effects (additive, dominance and digenic epistasis) and to determine the mode of inheritance for fruit Yield and its components. The generation mean analysis was employed in three crosses viz., Ac-2 x Annamalai, EP-45 x Annamalai and EP-89 X Annamalai to partition the genetic variance. Among the three crosses studied, the cross Ac-2 x Annamalai had complimentary type of epistasis along with significant additive gene effects and additive x additive interaction gene effects for all the three traits. Considering fruit yield per plant and its attributes, this cross was judged as the best cross for further selection programme. Keywords— Brinjal, epistasis, five parameters, gene action, generation mean analysis, yield, yield attributes. I. INTRODUCTION Eggplant (Solanummelongena L.,2n=24), known as brinjal, originated from India and consumed extensively worldwide. In India, it is one of the most common and popular vegetable cultivated throughout the country except higher altitudes. In our country it is grown in an area of 6.63 lakh ha with production of 12.51 million tones and the productivity is 18868 kg/ha (Savaliyaet al.,2017). The major objective in most brinjal breeding programme is to improve the genetic potential for fruit yield. Success of any crop improvement programme is mainly dependent upon the information regarding nature and magnitude of gene effects controlling economic quantitative traits. The knowledge about nature and magnitude of fixable and non-fixable type of gene effects controlling quantitative yield traits is essential in order to achieve the genetic improvement in this crop. The information on the nature of the gene action could be helpful in predicting the effectiveness of selection in a segregating population. A distinct knowledge of the type of gene effect, its magnitude and composition of genetic variance are of fundamental important to a plant breeder. The efficient partitioning of genetic variance into its components viz., additive, dominance and epistasis helps in formulating an effective and sound breeding programme. Though brinjal is a common crop but as compared to other solanaceous vegetable crops such as potato, tomato, capsicum etc., low breeding efforts have been carried out for developing potential hybrids and for genetic improvement by exploiting local germplasm. Considering this, an investigation was undertaken to evaluate the mode of gene action such as additive, dominance and their interactions (epistasis) for yield and its components by scaling test and estimation of some genetic parameter through generation mean analysis II. MATERIAL AND METHODS Crosses viz., Ac-2 x Annamalai (Cross I), EP-45 x Annamalai (Cross II) and EP-89 x Annamalai(Cross III ) were made between four parents by manual emasculation and pollen transfer. These crosses were further selfed and advanced to produce F2 and F3. Generations viz., P1, P2, F1, F2 and F3 were developed to study the genetic interactions. A total of three populations (3 crosses) and five generations of each cross were grown in Randomized Complete Block Design (RCBD) with four replications. Spacing adopted was 75 x 60 cm and the recommended cultural practices were followed throughout the cropping period. The experiment was conducted at APHC farm, Adhiparasakthi Horticultural College, G. B. Nagar,
  • 2. International journal ofHorticulture,Agriculture andFood science(IJHAF) Vol-2,Issue-6,Nov-Dec, 2018 https://dx.doi.org/10.22161/ijhaf.2.6.2 ISSN: 2456-8635 www.aipublications.com Page | 209 Kalavai. Observations were recorded on three characters viz., number of fruits per plant (nos), individual fruit weight (g) and total fruit yield per plant (g). III. STATISTICAL ANALYSIS Action of the genes controlling quantitative characters can be described by the use of gene model. Mean of five generation viz., P1, P2, F1, F2 and F3were used to estimate genetic parameters following a perfect fit solution given by Cavalli (1952). The mid-parental effect (m) and the types of gene action viz., additive (d), dominance (h), additive x additive (i) and dominance x dominance (l) were determined using five parameter model of generation mean analysis. The adequacy of simple additive-dominance was detected by employing C and D scaling test suggested by Mather and Jinks (1971). The additive-dominance model was considered inadequate when any one of the two scales was found to deviate significantly from zero. IV. RESULTS AND DISCUSSION Breeding method for any crop improvement programme is largely depends on the nature of gene action prevailed. Study of gene effects controlling different characters is therefore, a pre-requisite for launching a systematic and meaningful crop improvement programme. Quantitative characters which are of great interest, are governed by large number of genes having their own effects. These are too modified by several environmental factors (Johansen, 1926). Thus, analysis at the level of individual genes become impractical and whole genome analysis over the totality of the gene should be undertaken (Wright, 1956). The genetic variability, thus, should be partitioned into its broad components. Most valuable genetic analysis of quantitative characters can be said to have initiated with the work of Fisher (1918). He showed that these character measure continuous variation and fallow the Mendelian laws. He partitioned hereditary variance into three components, (i) an additive portion resulting fromaverage effects of gene, (ii) a portion resulting from dominance effects (intra allelic interaction) of genes, and (iii) a portion resulting from epistatic effects (non-allelic interaction) of genes. Hayman and Mather (1955) described the digenic interactions in continuous variation. Such partitioning of variation into its components requires growing a large number of related generations under an appropriate design. Hayman (1958) and Jink and Jones (1958) have developed independently the method of estimation of five genetic parameters using generation means. These model are based on certain assumptions such as (i) diploid inheritance,( ii) multiple allelism is absent, (iii) linkage is absent, (iv) absence of lethal genes, (v) constant variability for all genotypes and (vi) environmental effects are additive with the genotypic value. In predominantly self-pollinated crops like brinjal only additive component of genetic variation can be utilized. Among the interaction effect additive x additive type of interaction effect are more useful for the breeders. Complementary epistasis can also be successful exploited in the selection programme. The present study was planned to estimate the nature and magnitude of allelic and non-allelic interactions in brinjal. Four elite genotypes differing in many quantitative characters were chosen to generate variability in three cross combinations. The five generation of each of these crosses were grown and observation were recorded on three important characters. The discussions on the result obtained with regard to nature of gene action are reported here and character wise for all the three crosses 4.1 Number of fruits per plant The result of scaling test either both or C and D alone revealed significant values indicates the additive- dominance model was not found adequate for all traits in the three crosses. The failure of additive-dominance model was attributed mainly due to the epistasis. The cross II recorded negative and significant values for scale C and D, whereas cross III had negative and significant value for scale D alone. In all the crosses both additive and additive x additive gene effects were found significant for this trait. The ‘h’ and ‘l’ effects similar signs in cross I and III and opposite in II indicated that the type of epistasis were complimentary in cross I and III and duplicate in II. Table.1: Scaling test and gene effects for number of fruits per plant in three brinjal crosses. Components Cross I Ac-2 x Annamalai Cross II EP-45 x Annamalai Cross III EP-89 x Annamalai Scale C D -8.30 ±17.26* 9.35±12.06 -23.52±11.52* -24.52±11.07* -21.13±19.34 -24.95±12.52* Gene effects (m) mean 19.15±4.00** 24.89±4.53** 27.28±4.47**
  • 3. International journal ofHorticulture,Agriculture andFood science(IJHAF) Vol-2,Issue-6,Nov-Dec, 2018 https://dx.doi.org/10.22161/ijhaf.2.6.2 ISSN: 2456-8635 www.aipublications.com Page | 210 (d) additive 6±1.59** 5±1.74** 5.63±1.81** (h) dominance 4.20±11.64 11.58±13.84 16.56±12.76 (i)additive x additive 19.85±10.02* 21.25±10.54* 20.15±10.02* (l) dominance x dominance 8.80±36.15 -.72±39.74 5.76±40.55 Type of epistasis Complementary Duplicate Complimentary *Significant at 5 per cent level. * Significant at 1 per cent level 4.2 Individual Fruit weight (g) Significant values for scale C and D were recorded for this trait in all the crosses. Additive and Additive x Additive gene effects were significant in the cross I whereas the cross II exhibited significant value for additive variance only. In the third cross the value for dominance x dominance gene effect was found significant. It had been observed that all the crosses had complimentary type of epistasis. Table.2: Scaling test and gene effects for individual fruit weight per plant in three brinjal crosses. Components Cross I Ac-2 x Annamalai Cross II EP-45 x Annamalai Cross III EP-89 x Annamalai Scale C D -83.86 ±26.47** -80.84±21.04** -45.86±21.68** -29.52±20.83 -77.34±21.12** -19.78±12.52 Gene effects (m) mean 56.72±6.16** 46.76±4.95** 38.79±4.95** (d) additive 19.50±3.28** 5.50±2.00** -12.00±2.01** (h) dominance 29.27±16.36 12.49±15.72 13.55±17.96 (i)additive x additive 78.92±17.32** 1.04±14.63 -23.70±14.83 (l) dominance x dominance 4.03±53.63 21.79±46.03 76.75±38.25* Type of epistasis Complementary Complimentary Complimentary *Significant at 5 per cent level. * Significant at 1 per cent level 4.3 Total fruit yield per plant (g) The values of scaling test C and D were highly significant indicated the presence of epistasis in all the three crosses for this trait. In all the crosses both additive and additive x additive gene effects were found significant. The type of epistasis were complimentary in the cross I and duplicate in the crosses II and III. three crosses with complementary type of epistasis in the cross I and duplicate type of epistasis in the other two crosses viz., Cross II and Cross III. Table.3: Scaling test and gene effects for total fruit yield per plant in three brinjal crosses Components Cross I Ac-2 x Annamalai Cross II EP-45 x Annamalai Cross III EP-89 x Annamalai Scale C D -1229.86±123.66** -1097.28±113.61** -957.91±136.72** -1590.97±107.73** -1057.33±122.51** -1087.31±125.45** Gene effects (m) mean 1025.54±27.06** 1130.51±30.04** 1030.63±27.21** (d) additive 36.65±17.18* 137.53±14.10** 37.03±16.31* (h) dominance 764.35±84.30** 1011.02±84.82** 709.56±91.65** (i)additive x additive 599.84±86.68** 1176.05±91.23** 622.64±86.93** (l) dominance x dominance 176.77±261.12 -844.08±297.46** -39.84±256.99 Type of epistasis Complementary Duplicate Duplicate *Significant at 5 per cent level * Significant at 1 per cent level
  • 4. International journal ofHorticulture,Agriculture andFood science(IJHAF) Vol-2,Issue-6,Nov-Dec, 2018 https://dx.doi.org/10.22161/ijhaf.2.6.2 ISSN: 2456-8635 www.aipublications.com Page | 211 Present findings revealed the digenic control of all the characters under study. Similar result has also been reported by ChintanMistryet al.,(2016). Fruit yield per plant being a complex character showed its genetic control under additive, dominance and epistasis in all the fruits per plant, individual fruit weight and total fruit yield per plant showed significant additive and additive x additive gene effect. This is in accordance with the findings of Kathiria et al., (1998). The positive and significant dominance and dominance x dominance gene effects were also observed for the traits number of fruits per plant, individual fruit weight and total fruit weight per plant. Similar results were obtained by Singh et al.(2002). Additive and Additive x Additive genetic variance is a pre-requisite for genetic gain under selection, because this is the only genetic variance which responds to selection and it can be fixed in homozygous cultivars in crops like brinjal while the variation due to dominance effects and their interactions cannot be exploited effectively. The phenomenon of duplicate epistasis is unfavourable from the breeder’s point of view because of its decreasing effect on the analysed trait (Zdravkovicet al., 2000). The presence of duplicate epistasis would be detrimental for rapid progress, making it difficult to fix genotypes with increased level of character manifestation because the positive effects of one parameter would be cancelled out by the negative effect of another whereas complementary type of epistasis is favourable effect in breeding programme. V. CONCLUSION The characters governed by additive gene effects and additive x additive gene interaction effects are fixable. Also, the crosses which are governed by complementary epistasis where sign of dominance gene effects and dominance x dominance gene interaction effects are similar are also worth for exploitation. Such crosses have the potentiality to produce transgressivesegregants on the positive side. Pedigree method of breeding followed by simple selection in later segregating generations will be a meaningful breeding strategy to be followed in such crosses for the improvement of the characters under consideration. On the other hand in case of duplicate type of epistasis, selection in the early segregating generations may not yield desirable recombinants. This may possible be overcome by delaying the selection to later generations otherwise, one or two cycle of intermating of segregating population may be usefull to improve the characters. Considering all the three crosses, the cross Ac-2 x Annamalai had complimentary type of epistasis for all the three traits including total yield per plant and this cross was judged as the best cross for further selection. REFERENCES [1] L.L. Cavalli, An analysis of linkage in quantitative inheritance,In: Reeve PCR, Waddington CH (Eds.) Quantitative Inheritance HMSD and London, 1952,pp. 135-144 [2] M. Chintan, and K.B.Kathiria. Heritability and gene effects for yield related quantitative traits in eggplant (Solanummelongena L.)”, Annals of Agri.Sci.,Vol.61, Is.2,2016, pp. 237-246 [3] R.A. Fisher, The genetic theory of natural selection, Oxford Dever. Pub., New York. 1918. [4] B.I. Hayman, The theory and analysis of diallel crossesII, Genetics, Vol. 43, 1958, pp. 63-85.. [5] J.L. Jinks, and R.H. Jones, Estimation of components of heterosis, Genetics, Vol. 43, 1958, pp. 223-225 [6] W.L. Johansen, E.E.Siehre, G. Fischer, and C.F. Jene, Principle of plant Breeding, R.W. Allard, 1926. [7] K.B.Kathiria, M.H. Vaghasiya, M.K.Bhalala and K.M.Doshi, A note on genetics of fruit yield components in two crosses of brinjal(Solanummelongena L.), Veg. Sci., 1998, Vol. 25, Is. 1, pp. 199-200. [8] K. Mather, Biometrical genetics, Ed.6, Dobers Pub., Inc. New York, 1949. [9] N.Rai, A.K. Singh and D.A. Savnaik, Estimation of variability, heritability and scope of improvement for yield components in round brinjal (Solanummelongena L.), Agri. sci. Digest, Karnal, 1998, Vol. 18, Is.3, pp. 187-190. [10] M. Singh, G. Kalloo and M.K. Banerjee, Genetics of yield and its components characters in brinjal (Solanummelongena L.), Veg. Sci., 2002, Vol.29, pp. 24-26. [11] J. Zdravkovic, Z. Markovic, M. Mijatovic, M. Zecevic and M. Zdravkovic, Epistatic gene effects on the yield of the parents of F1, F2, BC1 and BC2 progeny in tomato, Acta Physiol. Plant., 2000, Vol. 22: pp. 261-265. [12] S. Wright, Modes of selection, Amer. Nat., 1956, Vol. 90: pp. 524.