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Genetic variability, correlation and path coefficient analysis
1. Intl. J. BioRes.g (41:28-33
October,2010
Syed, et aI
GENETIC VARIABILITY, CORRELATION AND PATH COEFFICIENT ANALYSIS
OF CHICK pEA (Cicer arietinumL.)
M A Syedt, M N Amin2, M A A Mahmud3, M M Zaman3 and M D Hossains
,Dup
Corresponding author's
ABSTRACT
The path coefficient
t and this was follorv
per plant. It was c<
criteria to improve tJ
Key words: Chickpea, Genetic variabirtry,Correration, patrr coefficient analysis
INTRODUCTION
1Ceae.
vorld.
axena,
a.,19
covers 9352.63 ha in 200g which produced 776g metric
re world
rmprove
hich is u
luctivity
. On the other hand,
etermining selection
their indirect effects
:J
1)
28
2. Intl. |. BioRe s.9 (4): 28-33 October, 2010 Syed et aI
: ', r= j ::: plant and seed number
,
=
:. '
=. ;h';;; i;. d"^"i "".-
::-:-:. .,. i seacndan' branches
:- -: : -- - :- l-:'l ::-.rl ,henoh Fi.
:: _ i: :: : , ,:_ j., r., as to eshmaia
l::.:: : ;, :-: .::: - ::aa.t trarts tC:
reported that significant and positive relationships were found betr' =::
and pod number per plant' The great genotypic variations rrere :;u:j
weight and 100 seed weight as reported by Patil and Phancis 1:-
Jagadev (1989) great phenotypic variance was noted within lhe n-r':=: --.
firit pod height and dalrs to flon'ering' Khorgade et al'' (798:l iri-.r:J :'':':
variance. However, plant height was less affected by environ'rre:'r - r: ::
the total genotypic variability, correlations and path coefficient a:.;.'' s-'
selection of better genoryPes of chickpea.
MATERIALS AND METHODS
'r +i
The experiment was conducted at experimental field of Sher-e-Fa:i-.: r.:---- ---.. - ':r' : l'^aka-1lJ-
Banglaiesh,cluringtheperiodfromoctober2008toMarch2CC'9.Th:--:=.-;:=:-: 1': ;r'::::''::-i at23'
Nlatitude and99"33' B-atanaltitudeof 8.6metera-bcvethesea-:"=-.-:-:--'- '-==':=::lentalfre-''
belongs to the agro-ecological zone of "The Moclhupur Tract" AEZ--S r-:. -: -:!':= :* :- :::ged irom 6 --
6.3 and had organic.r,ui".0.84%. Twenty elite genotypes and st',.r- i:.:::j '':-: --j :;'r the researc'
work. The genJcaly pure and physically irealthy seeds of these g:n.r. F?s ir :-: - :.'..::': :r";:'' Plant Ceneb-c
plants were irrigated by watercan to maintain soil mc
practices were followed to get good crop.
Number of days to flowering was recorded at the time when at -e"st:-"' :''i 1-rl" Plants showed th'e
appearance of iirst flower. Days to maturity were calculated frorr.'-:-e j::. :: :-:::-:: :o the date when 90"
a.le; randomlv to recorc
: pi.Js per Plant, 100 seec
r.:.csPic and Phenoh Pr:
:::.:::ted according to tl-=
method suggested by Singh and Chaudhury (1985). Generic advan:e r:i. t::-:.s .-: p:rcentage 6f 1ns4n5 $aS
estimated as described bytomstock and Ro6inson (f OSZ;. Vt"utt, range 3:,. :--t:::-te:-: of ariahon (CV) t'er-
also esLimated using MSTAT-C'
RESULTS AND DISCUSSION
a. GeneticVariabilitY
Analysis of variance revealed highly significant diffe'
study, indicating the scope for selection of various
genotypes. The results regarding genotypic and phenc
variatiory broad sense heritability and genetic advanc
er of secondan' branch.es (15 33 - 43'00), plant height I : l
'e in accordance to tLe studv conducted by Shaukat ;- ''
gh for number of pods per plant (1'65'2-l' and 17i S:
nd the'"'alues or'"." 16.76 and 50'22 respectively' Sirr'r-'-:
29.31). Similar findings were reported by Arora (199
coefficient of variation for the above traits in the pre
characters through directs selection. Lowest esfimates
variation were recorded for days to 100% flowering'
i
I
E
Ti
fc;
K;
tvi
l',1 L
(2c
her
o.L
The
)a
genc
stror
follo r
COITE
(199e
seed .
plant
3. Intl. /. BioRe s.9 (4): 28_33
October,2010
Table 1. Estimation of r
chick pea r.r'rffittul
and genetic Parameters of yield and
Significantatl% level
in broad sense, GA _
,_y"c" I 1s.3343.00 28.s3_48.s3 'i.ii rr.r, 1T.It *.r,o'8 I 46.76 5.g4
ozJ l;;;' 2.1.e ii 16:21d2^ | -^ - Z.lY AAa
?:Y I so.zz 8.13
z'rY 6'68 u.4o o.3s
h, t I;;.;; |:;" 7.47 777.8e 1,1.s2 4.85
.^ ltro/ I ::ll- rc'B $.02 eA11
Syed. et al
yield contributing traits of different
7.64
in broad sense, GA _
Variation, pCV - phenotypl. Co.fA.i".,t
'of
Is were reported by parshuram et aI.
,mprovement or rhese characters
-::ilT:l;:nt
or mean was observed ;:g',i:rHTnil::11H:*rTtjl'ctive through phenotypic selection.
b. Correlation Cofficient Analysis
The phenofypic and genotypic corre
2' Correlation analysis revealed the rg characters are presented in Table
y and significantly correlated both
Parameter
-
l,f^-- ^.-_
No. of
secondary
branches
Days to 50%
flowering
Days to
flowering
No. of
pods per
plant
100 seed
weight (g)
Seed
yield per
nlant /o
20.00** 502.g2** 33.g0**
50
13.95**
30
4. rable 3'
".frt',Tffi?i:ffffy.tfi-"":'j}';::#:i grain vierd into dire* (bord) and indirect erre* or yierdcontributing traits in chick pea genotypes
Intl. J. BioRe s.9 (41: 28_33
October,2010
0.09
0.23
-0.72
0.32
-0.24
0.04
0.08
-0.72
-0.06
-0;14
0.11
0.03
0.01
0.22
0.27
0.01
-0.11
0.76
0.77
0.76
-U. IJ
-0.19
-0.04
0.48
-0.21
-0.25
0.10
-0.16
-0.27
0.27
0.72
0.04
-0.72
0.11
0.3s
0."t2
0.59
-0.72
-0.09
-0.22
0.02
0.75
Syed et aI
0.34"
0.36*
U.J I
-U.J1
0.50**
n /l'7**
(cm)
No.
Pflmal/
branches
No.
secondan'
branches
Days to 50%
flowering
Days to 100%
flowering
No. of pods
per plant
100 seed
weight
ot
0.03
-0.42
* Significant at5% level, ** Signific
per plant and its posihve association
p-ort the present results. The highest
:fficient (0.47) was recorded beieen
nary branches (0.1.7) and secondary
association and high direct effect of
: results. The direct selection for this
CONCLUSION
Positive and significant association and higher contribution made to seed yierd pernumber of pods per prant and 100 r""i'i,"tgrr, shourd be given due emphasis asoeveloping high yielding genotypes of chickpea.
REFERENCES
r and Drainage Paper. Food and Agriculture organization of the united
book of Bangradesh. Bangradesh Bureau of statistics, Ministry of planning,ngladesh. pp.61_64.
Bangladesh. pp.26-3s.
Vegetable Crop Programme Mennonite Central Committee (MCC),
^t*t tK?tl;t"t.""Ti;,wariability and its relevance in chickpea improvement. Internarional chickpea
:::": GJ:jfiil t;[]:
t;::
I2'r9lri;irth
Coerricient anarvsis in Chickpea (Cicer arietinun L.) under
Bakhsh, A., T. Gull, A. Sharil M. Ar
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in pure lines, Fr and F2 prog variability and character correlafion
BBS (Bangladesh Bureau of Staristicr Paf
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p tatistics of Bangladesh. Ministry of
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G Lation and significance. proc. 6rh Intl.
plant suggested that
selection criteria for
-ll
Parameters pt""t
height
/rm
h-Pla
No. of
Pnn-lary
branches
Days to
700%
flowerinq
No. of
pods per
plant
100 Seed
weight
(e)
Seed
yield per
plant (s)
0.79
)z
5. ^
Intl. |. BioRes.9 (4):28-33 October,2010 Syed, et aI
Guler, M., M. S. Adak and H. Ulukan (2001). Determining relabionships among yield and some yield
components using path coefficient analysis in Chickpea (Ciser anetintn: L.). Eur. J. Agron. 1'4:76'l'-766
Hassan, Vf., n. Irrf. Afta, T. M. Snun, M. A. Haq, H. Syed and S. S. Alam (2005). Correlation and Path coefficient
studies in induced mutants of chickpea (Cicer aietinurn L.). Pak. J. Bor 37 (2):293-298.
Indu, A. (1985). Genetic variability in segregating population of Deshi and Kabuli chickpea crosses. Indian J.
Agric. Sci. 55(7): 456-459.
Islam,M.o.,n.rSarker,M.QuaderandL.Begum(1981).StatusCfuckp'eaImpror.ementatBARI.InProc.
National workshop on pluses at Joydebpur. Ed., Kaul, A' K' 198r pp.5+6{'
Jodha, N. S. and K. V. Subba Rao (1987). The Chickpea. In: Chickpea: -crld Importance and Distribution
(Eds: M. C. Saxena and K. B. Singh), CAB Intemational, 'alhngfcrd. G<on, UK. pp. 1-10.
Karim, Ivl. F. and Q. A. Fattah (2006). Chinges in biocomponents of chickpea (C::er tietinun L') sprayed with
potassium napthenate and napthenic acetic acid.Bangladeshl. B:t.35 (1): 39-{3.
fhan, M. N. and K. C. Sharma (1999). -ause and effect relationship of r-ield s-ith other characters in chickpea.
Advan. Pl. Sci. 12 (2):47"1-474.
Khorgade, p. W., M. M. Narkhede and S. K. Raut (1985). Genetic vanabilih- studies rn chickpea (Cicer arietinum
L.). International Chickpea Newsletter, June. 12: 12-13.
Lakendra, K', P' P' Arora and A' S' Jeena (1999)' Association ana11'sis in chickp'ea' b'dian '{gric' sci' Digest' 19:
199-202.
Noor, F., M. Ashaf and A. Ghafoor (2003). Path analysis and relatiorrship arnong quantitative traits in
Chickpea (Cicer arietinum L'). Pak. J. Biol. Sci. 6: 551-555.
parshuram, S., p. K. Mishra, R. K. Patnaik and P. Sail (2003). Studies on gerretic Vari,abilitl', heritability and
genetic advance in chickpea (Cicer arietinum L.). Environment and Ecologr'- ?7:27G273.
patil, V. Ii. and B. A. Phandis (19i7). denetic variability and is implication in selection of gram. Bibliography
of chickpea genetics and Breeding (1915-83). pp.174.
Ram,C., S. Chandra, M. S. Chaudhary and D. S. Jatasa (1978). Heritabrlih' of some quantitative characters in
crosses of 'deshi' and'kabuli' varieties of chickpea (Cicer arietinum L-1, Lndian J. Agric. Res' 12(3):
1.87-190.
Saleem, M., M. A. Awan, S. Ali and M. Yousaf (1999). Estimation of gencb'pic and phenofypic association in
chickpea (Cicer aietinumL').J.Pure and Applied Sci' 81: 5156'
Samal, K. M. and p. N. Jagadev lrbAV;. Genetic
"uiluUitity
studies and rop'e for improvement in chickpea
(Cicer arietinun L.). International Chickpea Newsletter. June, 12: 12-13.
Saxena, M. p., R. Goldworthy and N. M. Righer (2001). Chickpea. The phvsiologv of Tropical Field Crops'
John Willey and Sons. PP.419-452.
Shaukat, A., A. Maher, M. Anwlr and A. M. Haqqani (2@2). Exploibation of genetic I'ariability for grain yield
improvement in chickpea. International Jounral of Agriculture and Biologl-. 1(7):1'a8-1'a9.
Singh, R. K. and B. D. Chaudhury (1985). Biometrical methods of quantitatir-e genetic analysis. Haryana J'
Hort. Sci. "12 (2):1'51-156.
Smartt, I. (1976). Tropical Pulses. Tropical Agriculture Series: Southampto Unir'. Longman Group Ltd',
London. p. 96.
Tripathi, A. K. (19i8). Association analysis in chickpea. Advances in Pl. Sci- 77:717-120.
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6. Intl. f. BioRes.9 (41:28-33 October,2O10
Table 2. Genotypic (.s) and phenotypic (tp) Correlation
contributing traits of different chick pea genotyPes
Parameters
Syed et aI
coefficient among Yield and Yield
Seed
yield per
plant (g)
Plant height rs 0.13
0.51**
t"
0.03
0.90**
0.31
0.1.2
-0.36*
0.07
-0.03
0.99**
-0.14
0.48**
-0.s-
0.07
-u.u-1
0.89*
0.2i
0.29
rl i-)l
-Cl1
C.2.q
4.21
0.28
0.36*
0.07
0.20
0.33
0.50**
0.51.*"
0.43*
0 61*" 0.38*
0.03 0.05*
No. of primary
branches r
u.l1
0 58*
472
057*
No. of
secondary
branches
Days to 50%
r
Days to 1.00%
flowerin
No. of pods per
100 seed weight
-0.11
0.{8*
-l., l
C0b
4.29 0.31
0.15 0.72
1 02*
0.52"
4.29 -0.31
0.15 0.12
* Significant at 5% level, ** Significant at 1% level, rx- genotypic correlatron c:efa.-ra-.t ajlC rr - phenoiypic correlation
coefficient
c. Path Cofficient AnalYsis
The gen characters rsith grain )'ield Per plant were
further seed rveight (0'75) exhibited the highest
pos*ive
o"b
flo*'ering (0,32) and plant height (0.31).
Direct e nun"ber of secondan'branches per plant
(0.24) were positive and low. Similar findings have bee
Direct effect was negative and correlation coefficient I
seed yield per plant. Plant height revealed positive as
direct effect was (0.31). Primary branches revealed pos
effect (0.50) of numirer
high. branches (0.1ti)
indica ct selection thr'lugh this trait will b€ effectir-e'
E
H
F
1!
bi
1t
trl
CI
Po
nq
de
BBS
Ba
Duvs to 509t' l Dut't to o ci 100 seed
flowering ] td=. :cds weight
fiou.ering fer (g)
No. of
secondary
branches
No. of
prlmary
branches