Abstract:
Information on genetic variability, interrelationships between agronomic traits, and disease
resistance of genotypes is prerequisite for further bread wheat improvement. Therefore, one
hundred fifty bread wheat genotypes were evaluated at Enewari, Wogere, and Kulumsa using
alpha lattice design in the 2021main cropping season with the objective of determining the
extent of genetic variation, stripe rust resistance and association among traits. Data were
collected for grain yield and yield related traits and stripe rust severity. Data were analyzed
using R-software. The combined analysis of variance showed significant difference (p < 0.05)
among the tested genotypes for all measured traits. Mean values for grain yield ranged from
2.84 to 6.66 ton/ha. Based on the current result, twenty-one new genotypes were found to be
top yielder than the released check varieties. A small difference in genotypic and phenotypic
coefficients of variation of the traits showed that the environment had little influence on the
expression of the traits. High genetic advance as percent of the mean coupled with high broad
sense heritability estimate was obtained in days to heading (DH), plant height (PH), and
thousand kernel weight (TKW). Grain yield was positively and significantly correlated with
DH (0.58), PH (0.37), TKW (0.44), DM (0.23) and NSPS (0.14), of which DH (1.1), TKW
(0.48) and NSPS (0.16) had the largest direct effect on grain yield. The first three principal
component analyses with eigen values greater than one accounted for 64.16% of the total
measured traits variance. Cluster analysis based on the ward linkage method, grouped the
genotypes into five clusters. The highest inter-cluster distance (42.25) was observed between
Cluster II and Cluster V. five genotypes were found to be stripe rust resistant at all three
locations. In general, the current finding revealed a high level of genetic variation for the
traits studied for selection and hybridization. However, Selection and hybridization on those
bread wheat genotypes can be used to develop new genotypes after the results are confirmed
in additional areas and years.