Abstract:
Thirty six bread wheat genotypes were tested to assess the genetic variability and genetic
diversity among genotypes using triple lattice design at Bena-Tsemay district Weyito Nasa
Agricultural Farm in 2020 under irrigation condition. The analysis of variance revealed
highly significant variation among the genotypes for days to heading, grain filling period,
days to maturity, plant height, spike length, number of spikes, number of kernels, 1000 seed
weight, and grain yield. Wide ranges of the mean values were observed for most of the
characters, indicating the existence of variations among the tested genotypes. Moderate PCV
and GCV were recorded for days to maturity, grain yield, and harvest index; while high
heritability values were observed for plant height and days to heading. Low PCV and GCV
were recorded for 1000 kernel weight, number of grains spike-1
, grain filling period, and
spike length. Among the characters studied, grain yield showed high genetic gain whereas
days to maturity and grain filling period had moderate values of genetic advance as percent
of mean (GAM). Characters like grain filling and plant height were significant and positively
correlated at phenotypic and genotypic levels with days to maturity and number of kernel per
spike, days to heading and harvest index. The Phenotypic path coefficient analysis showed
that biomass followed by seeds per spike and days to maturity exerted highest positive direct
effect on grain yield. The maximum positive genotypic direct effect on grain yield was exerted
by days to maturity (1.358) followed by biomass yield (0.855), fertile tiller per plant (0.763),
harvest index (0.383) ,number of kernel (0.305) and plant height (0.047). The D2
analysis
grouped the 36 genotypes into six clusters. The maximum inter cluster distance was observed
between cluster V and VI (D2=777.99), followed by that between clusters III and V
(D2=525.49) and I and III (D2=310.81), which showed that the genotypes included in these
clusters are genetically more divergent from each other than those in any other clusters.
Crosses between genotypes selected from cluster V with cluster VI, cluster III with cluster V
and cluster I with cluster III are expected to produce relatively better genetic recombination
and segregation in their progenies. Principal components (PC1 to PC6) having Eigen value
greater than one (significant), accounted 75.6% of the total variation. The first three
principal components, i.e., PC1, PC2 and PC3, with values of 22.0, 35.7, and 47.9,
respectively, contributed more to the total variation. Generally, the results of this study
showed the presence of variations among the studied genotypes for agro-morphology traits
with wide range of genetic distances that could allow selection and/or hybridization of
genotypes .