8/10/2019 Association and path analysis in F2 populations of pigeonpea
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AGRICULTURAL RESEARCH COMMUNICATION CENTRE
www.arccjournals.com / www.legumeresearch.in
Legume Res., 37(6) : 561-567, 2014
doi:10.5958/0976-0571 .2014.00677.8
ASSOCIATION AND PATH ANALYSIS IN F2POPULATIONS OF
PIGEONPEA [CAJANUS CAJAN(L.) MILLSP]
B. Krishna Chaithanya, L. Prasanthi, K. Hariprasad Reddy and B.V. Bhaskara Reddy
D epartm ent of G enetics and Plant B reeding
S.V. Agricultural C ollege, Tirupati-517 502, India.
Received: 03-10-2013 Accepted: 18-05-2014
ABSTRACTGenetic association among 11 F2population derived from 8 parental lines of pigeonpea was
carried out for 11 characters. The correlation study revealed highest positive correlation for pods
per plant and branches per plant in parents and also in addition to these 100-seed weight in F2
progenies revealed that these characters may be considered for improvement of yield. Pods per
plant reco rded the highest direct e ffect on see d yield followed by pod length, seeds per pod, plant
height and branches per plant while SCMR at 50 per cent flowering showed negative direct effect on
seed yield.
Keywords: Association, Path analysis, Pigeonpea.
INTRODUCTION
Pigeonpea [Cajanus Cajan(L.) M illsp] is the
second largest pulse crop w ith diversified uses as
food, fodder and fuel. It has been recognized as a
valuable source of protein particularly in the
developing countries. A thorough know ledge of
existing genetic variation and extent of association
betw een various yield contributing characters is
essential for developing high yielding genotypes in
pigeonpea. C orrelation and path analysis w ill
establish the extent of association betw een yield and
yield com ponents and bring out relative im portance
of their direct and indirect effects and thus give a
clear understanding of their association w ith yield.
MATERIALS AND METHODS
Eleven F 2populations(LR G -41X IC PL-
87119,LR G -41X IC PL -8863,TR G -22X IC P L-
8863,T R G -22X IC P L-87119,T R G -7X IC PL -
87119,TR G -7X IC PL -8863, IC PL-7035X IC PL -
8863, IC PL87119X IC P-7035, BSM R-736X IC PL-
87119, Piler localx IC PL-87119 and Piler localxIC PL-8863) derived from eight parents(LR G -
41,TRG -22,TRG -7,IC PL-8863,IC PL-87119,BSM R-
736 and P iler local.) w ere raised at R egional
A gricultural R esearch Station, T irupati in a
random ized block design w ith three replications
during kharif,2009 adopting inter and intra row
spacing of 90 cm x 15 cm . O bservations w ere
recorded on fifteen random ly selected plants of both
parents and F2progenies from each plot for plant
height, days to 50 per cent flow ering, days to
m aturity, num ber of branches per plant, num ber of
pods per plant, pod length, num ber of seeds per pod,
100-seed w eight, SC M R at 50 per cent flow ering,
protein content and seed yield per plant. C orrelation
coefficients (Johnson et al.,1955) w ere com puted
and path analysis (D ew ey and Lu, 1959) w as
perform ed.
RESULTS AND DISCUSSION
H ighly significant positive correlation of yield
w as observed w ith branches per plant and pods
per plant in parents (Table 1) and in addition to these
traits 100-seed w eight also show ed highly significant
and positive association w ith seed yield per plant in
F2progenies (Table 2) at both phenotypic and
genotypic levels. The above results indicated that
seed yield per plant could be increased w henever
there is an increase in pods per plant, num ber of
branches per plant and 100-seed w eight w hich w asalso reported by Anuradha et al. (2007) for prim ary
branches per plant, M ittal et al.(2006) and
Jogendrasingh et al. (2008) for pods per plant and
Sarsam kar (2008) and Bhupendrakum ar (2009) for
100-seed w eight. H ence, sim ultaneous selection
based on these characters could be suggested for
im provem ent in yield.
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562 LEG U M E RESEA RC H
TA
B
LE
1.
Phenotypic
(rp
)
andgenotypic
(rg
)
corr
elationcoefficients
am
ong
seedyieldand
its
com
ponents
in
8parents
ofR
edgram
*
SignificantatP=
0.05
**
SignificantatP=
0.01
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563Vol. 37, N o. 6, 2014
TA
B
LE
2.
Phenotypic
(rp
)
andgenotypic
(rg
)
correlationcoefficients
am
ong
see
dyieldand
its
com
ponents
in11
F2
progenies
of
R
edgram
*
SignificantatP=
0.05
**
SignificantatP=
0.01
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564 LEG U M E RESEA RC H
TAB
LE
3.Pheno
typ
ic
(P)
an
d
geno
typ
ic(
G
)
pa
th
coe
fficien
ts
be
tw
een
see
d
yie
ld
an
d
its
com
ponen
ts
for
8
Paren
ts
in
Pheno
typ
ic
res
idua
l
effec
t
=
0.
2179
*
Sign
ifican
ta
tP
=
0.
05
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565Vol. 37, N o. 6, 2014
TA
B
LE
4.
Phenotypic
(P)
andgenotypic
(G
)
pathcoefficients
betw
eenseedyieldand
its
com
ponents
for
11
F2
progenies
in
R
edgram
Phenotypic
residual
effect
=
0.3509
*
Significant
at
P=
0.05
G
enotypic
residual
effect
=
0.
8842
**
Significant
at
P=
0.01
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566 LEG U M E RESEA RC H
In parents and F 2population, highly
significant positive correlation w as observed
betw een num ber of branches per plant and num ber
of pods per plant suggesting that increase in num ber
of branches results in m ore num ber of pods per
plant. Sim ilar positive and significant correlation w as
found in parents betw een character pairs viz.,
num ber of seeds per pod w ith 100-seed w eight and
SC M R at 50 per cent flow ering; pod length and
SC M R at 50 per cent flow ering, indicating that
increase in SC M R at 50 per cent flow ering increases
num ber of seeds per pod, pod length and 100-seed
w eight. In addition to this, in F2progenies, highly
significant positive correlation w as observed
betw een 100-seed w eight w ith pods per plant, pod
length, seeds per pod and SC M R at 50 per cent
flow ering, indicating that increase in pod length
increases num ber of seeds per pod w hich inturnincreases 100-seed w eight.
H ighly positive and significant association
of seed yield w as observed w ith pods per plant,
branches per plant and 100-seed w eight and also
am ong them selves in both parents and the F 2
progenies indicating that these characters should be
considered in form ulating selection criterion for
effective im provem ent of elite genotypes for seed yield
in pigeonpea.
The correlation coefficients were inadequate
to interpret the cause and effect relationships.H ow ever, path analysis technique furnishes a
m ethod of partitioning the correlation coefficients
betw een various characters in to direct and indirect
effect provides the actual contribution of an attribute
and its influence through the other traits.
Pods per plant recorded highest m agnitude
of direct effects on seed yield per plant follow ed by
pod length, seeds per pod, plant height and branches
per plant in parents whereas seeds per pod recorded
highest m agnitude of direct effect on seed yield per
plant follow ed by plant height, days to 50 per cent
flow ering, protein content, pod length, 100-seed
w eight and branches per plant in F 2progenies
(Table 3 and 4).
Pod length, num ber of seeds per pod and
100-seed w eight characters though expressed
positive direct effects, their indirect effects through
days to 50 per cent flow ering, branches per plant,
pods per plant, SC M R at 50 per cent flow ering and
protein content w ere negative resulting in negative
non-significant association w ith seed yield. SC M R
at 50 per cent flow ering exhibited negative direct
effect and also negative and non-sign ificant
association w ith seed yield but exerted positive
indirect effects via plant height, num ber of seeds per
pod and 100-seed w eight.
In F2progenies, the direct effect of pods per
plant w as highly negative and their association w ith
seed yield per plant w as positively significant, due
to high positive indirect effects via plant height,
num ber of seeds per pod, 100-seed w eight and
branches per plant. 100-seed w eight exerted positive
indirect effects via seeds per pod, days to m aturity
and pod length and resulted in significant positive
association w ith seed yield. Sim ilarly branches per
plant exerted high and positive indirect effects viaSC M R at 50 per cent flow ering, plant height, days
to m aturity, days to 50 per cent flow ering and protein
content resulting in significant positive association
w ith seed yield. Pods per plant also exerted its high
and positive indirect effects on seed yield through
plant height, seeds per pod, 100-seed w eight,
branches per plant, protein content and days to
m aturity a nd exhibited significant positive
association w ith seed yield. These results are in
agreem ent w ith the reports of Salunke et al. (1995)
that pods per plant and 100-seed w eight exhibited
high positive indirect effect through days to m aturity,
plant height, days to 50 per cent flow ering and protein
content. Kalaim agalet al. (2008) also reported the
highest positive and indirect effect of 100-seed w eight
via seeds per pod and corroborates the results of the
present investigation.
In parents, branches per plant and pods per
plant and in F 2progenies 100-seed w eight and
branches per plant w ere show ed positive significant
association and high positive direct effects on seedyield and high indirect effects via m ost of the
characters. Thus, these are the characters that are
of prim e im portance in determ ining seed yield and
hence, should be given due im portance w hile
form ulating selection criteria in the later segregating
generations for the production of elite genotypes for
seed yield.
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567Vol. 37, N o. 6, 2014
REFERENCES
A nuradha, B ., Koteswara Rao, Y., Ram a Kum ar, P. V. and Srinivasa R ao, V. (2007). C orrelation and path analysis for
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Bhupendrakum ar. (2009). C orrelations coefficient am ong 11 characters in parental, F1 and F2 populations of pigeonpea
[cajanus cajan(L.) M illsp.].Inter J Plant Sci.,4:1, 150-152.
D ew ey, D . R. and Lu, K. H . (1959). A correlation path coefficient analysis of com ponents of crested w heat grass.
Agron J.,51: 515-518.Jogendrasingh, B adana, V. P. and Shiv D att. (2008). C orrelation and path coefficient analysis am ong yield and
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Johnson, H . W ., Robinson, H . O . and C om stock, R. E. (1955). Estim ates of genetic and environm ental variability in s
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Kalaim agal, T., Am ala B alu, P. and Sum athi, P. (2008). G enetic studies in segregating population of pigeonpea.
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M ittal, V. P., Brar, K. S. and Pram jit Singh. (2006). Identification of com ponent traits contributing to seed yield
in pigeonpea. J Arid Legumes.,3:2, 66-67.
Salunke, J. S., A her, R. P., Shinde, G . C . and Kute, N . S. (1995). C orrelation and path coefficient analysis in early
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Sarsam kar, S. S., Kadam , G . R., Kadam B . P., Kalyankar, S. V. and B orgaonkar, S. B . (2008) C orrelation studies in
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C o p y r i g h t o f L e g u m e R e s e a r c h : A n I n t e r n a t i o n a l J o u r n a l i s t h e p r o p e r t y o f A g r i c u l t u r a l
R e s e a r c h C o m m u n i c a t i o n C e n t r e a n d i t s c o n t e n t m a y n o t b e c o p i e d o r e m a i l e d t o m u l t i p l e
s i t e s o r p o s t e d t o a l i s t s e r v w i t h o u t t h e c o p y r i g h t h o l d e r ' s e x p r e s s w r i t t e n p e r m i s s i o n .
H o w e v e r , u s e r s m a y p r i n t , d o w n l o a d , o r e m a i l a r t i c l e s f o r i n d i v i d u a l u s e .
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