Association and path analysis in F2 populations of pigeonpea

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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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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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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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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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

seed yield and yield contributing characters in pigeonpea.Andhra Agri J., 54. (1& 2), 9-12.

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

its contributing traits in pigeonpea. Environ Ecology26:1396-1399.

Johnson, H . W ., Robinson, H . O . and C om stock, R. E. (1955). Estim ates of genetic and environm ental variability in s

oybean.Agron J., 47: 314-318.

Kalaim agal, T., Am ala B alu, P. and Sum athi, P. (2008). G enetic studies in segregating population of pigeonpea.

Crop Improv.,35 (1): 31-34.

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

pigeonpea.Legume Res.,18:3, 162-166.

Sarsam kar, S. S., Kadam , G . R., Kadam B . P., Kalyankar, S. V. and B orgaonkar, S. B . (2008) C orrelation studies in

pigeonpea.Asian J Bioscience.,3:1,168-170.


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Association and path analysis in F2 populations of pigeonpea

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