International Journal of Horticulture, 2017, Vol.7, No.3, 20-25
23
The correlation coefficients among five parameters for the year 2004-2005 are shown in (Table 2). Spike length
revealed significant and highly positive correlation with number of spikelets spike
-1
, grain yields plant
-1
and grain
yield (Kg/Ha). While, this trait has negative correlation with 1000-grain weight. Highly significant positive
correlation was depicted in number of spikelets spike
-1
with grain yield plant
-1
and grain yield Kg/Ha. While,
positive correlation of this trait was noted with 1000-grain weight. Grain yield plant
-1
had highly significant
positive correlation with 1000-grain weight and grain yield Kg/Ha. Highly significant positive correlation was
observed in 1000-grain weight with grain yield (Kg/Ha).
Result: Allelic variation in bread wheat (
Triticum Aestivum
L.) through sds-page techniques: The accessions
belonging to different areas were partitioned into eighteen different HMW- glutenin subunit combinations (Table
3). Out of these the subunit composition of null, 7+8, 2+12 and 2* were recorded with several other subunits with
different unique compositions (Table 3). It has been well established that the variation in HMW glutenin subunits
of wheat is correlated with bread making quality. Therefore, it is possible to determine overall quality of a variety
in terms of HMW glutenin subunits by adding together the score of the individual subunits (Payne et al., 1987).
The frequency of various alleles found in the entire set of germplasm at the locus Glu-A1 the subunit “null” was
found in 48% of the accessions. While, the remaining accessions were found to possess the subunit 2* (28%),
subunit 2 (3%) and subunit 1 (21%) at the Glu-A1 locus. The most frequent HMW glutenin subunits at Glu-B1
locus were 7+8, which appeared in 54 accessions. The other subunit was 17+18 (23%), subunit 7 (4%), subunit 8
(2%) and subunit 7+9 (17%). At the Glu-D1 only three pairs of subunits 2+12, 4+12 and 5+10 were found in most
of accessions with frequency of 79%, 6% and 15%, respectively. It has been well established that the variation in
HMW Glutenin Sub-units of wheat was correlated with bread making quality (Payne et al., 1987). Therefore, it is
possible to determine overall quality of a variety in terms of HMW Glutenin Sub-units by adding together the
score of the individual sub-units adapted by (Payne et al., 1987).
Table 2 Correlation coefficients of one hundred accessions of wheat
Traits
Spike Length (cm)
Spikelets spike
-1
Grain yield plant
-1
1000-grain weight
(g)
Grain
yield
(Kg/Ha)
Spike Length (cm)
1.00
Spikelets spike
-1
0.20*
1.00
Grain yield plant
-1
0.16*
0.49**
1.00
1000-grain weight (g)
-0.02
0.02
0.30**
1.00
Grain yield (Kg/Ha)
0.18*
0.34**
0.62**
0.44**
1.00
Note: * = Significant at 0.05 and 0.01 probability level respectively; ** = Highly Significant at 0.05 and 0.01 probability level
respectively
Table 3 Allele frequencies of HMW glutenin subunits at
Glu-1
loci in difeernet Wheat accessions for the year 2005-06
Allele
No. of Accessions
Proportion
Frequency
Glu-A1
1
18
0.18
18%
2
06
0.06
6%
2*
28
0.28
28%
Null
48
0.48
48%
Glu-B1
7
04
0.04
4%
8
02
0.02
2%
7+8
54
0.54
54%
7+9
17
0.17
17%
17+18
23
0.23
23%
Glu-D1
2+12
79
0.79
79%
5+10
15
0.15
15%
4+12
6
0.06
6%
4 Discussion
The genetic diversity is the backbone of crop improvement. A positively significant observation was found
satisfactory for Spike length, number of spikelets spike
-1
, grain yield plant
-1
, 1000-grain weight and yield (Kg/Ha)
respectively. These traits can be utilized for further breeding programme to synthesize a new wheat variety for the
