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Induced polygenic mutations in wheat
(Triticum aestivum L.)
IRFAN A.KHAN
Nawab Shah Alam Khan Post-Graduate centre, Anwarut-Uloom
College, Hyderabad, India
Bread wheat being a polyploid, offers many opportunities of
exploitation of mutations, recombinations and of increasing
genetic variability in quantitatively inherited characters
(LARIK 1975). From the work already reported by several
authors on this crop (BHATIA & SWAMlNATHAN 1962
BOROJEVIC 1969, BOROJEVIC & BOROJEVIC 1972, LARIK 1979,
LARIK et al. 1980 CHOWDHARY 1982), it is now quite
clear that polygenic mutation results in the release of
considerable variability in irradiated populations. However,
informations are scanty about the influence of chemical
mutagens on quantitative characters particularly in wheat,
compared to that of irradiations. It is quite likely that
chemical mutagens may provide a better understanding since
they induce a much higher mutation rate and causes less
chromosomal disturbances than do radiations (JANA & ROY
1973). In view of above considerations, the present
investigation has been carried out to induce mutations by
EMS in four quantitative characters of wheat variety,
Bansi.
Materials and Method
Dry seeds of a variety of wheat, Bansi were pre-soaked in
distilled water for 9 h. and then treated with 0.1 to 0.4%
ethyl methane sulfonate (EMS) for 6 h. at a constant room
temperature of 20 + or - 1C. The treated seeds were washed
thoroughly in running tap water for half an hour and sown in
the field in randomized complete block design with three
replications. In each replication, five lines of ten seeds
each were allotted for each treatment and control with a
inter-row distance of 1 ft. and inter-plant distance of 15
cm. The data on four quantitative characters i.e. no. of
fillers, spike length, spikelets per spike and total plant
yield were collected from each individual plant
separately.
For studying the polygenic variability in M2 and
M3 generations, a random seed sample of 300 seeds
was sown in randomized complete block design in three
replications with the same distance as kept in M1
generation. Data on individual plant of these four
quantitative characters were collected and analysed
statistically. The genetic parameters were calculated to
estimate the extent of genetic variability in the treated
populations. The expected genetic advance (Gs) with 5%
selection intensity was calculated according to the modified
formula (KHAN 1983),
Gs = k.delta p.h2
where delta p = phenotypic standard deviation of the mean
performance of treated population, h2 =
broad-sense heritability and k = 2.06 constant for selection
differential.
Table 1. Estimates of mean values
(X), coefficient of variation (phenotypic and genotypic),
heritability (h2) and expected genetic advance
(Gs) in the M2 generation
Table 2. Estimates of mean values
(X), coefficient of variation (phenotypic and genotypic),
heritability (h2) and expected genetic advance
(Gs) in the M3 genaration
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