Abstract:
Morphological characterization of coffee accessions is a precondition for the improvement of
coffee varieties for yield and disease resistance. A total of 133 coffee accessions collected
from Bale and West Arsi zone were characterized using morphological traits to estimate the
extent of variability among the collection at Gera Agricultural Research Sub Center along
with four standard checks. The experimental treatment was laid using an augmented design
with three blocks of single row with six trees per plot. The experiment was superimposed
during 2018/19 cropping seasons on four years old coffee trees which was planted in July,
2015. Data on 25 quantitative and 12 qualitative traits was recorded from three representativ
e trees per plot. The analysis of variance revealed a significant (P<0.05) difference among
the collections for most of the quantitative traits considered. The highest (2886.33 kg/ha) and
lowest (20.31 kg/ha) mean bean yield was recorded from accession B184/07and B77/07,
respectively. Higher mean yield coupled with resistance to CBD were recorded from accessio
n B184/07 and B29/07.Genotype variations were greater than environmental variation for all
traits except plant height and number of secondary branches. Higher percent (%) and closer
variation of GCV and PCV value were demonstrated by traits such as coffee leaf rust, coffee
berry disease, bean yield and number of secondary branch and percent of bearing primary
branch. High estimates of heritability and genetic advance as percent of mean were observed
for coffee leaf rust, coffee berry disease, number of secondary branch, percent (%) of bearing
primary branch, bean yield and height up to first primary branch. Coffee yield was positively
and significantly correlated with percentage (%) of bearing primary branch (rg=0.64), coffee
leaf rust (rg=0.39) and canopy diameter (rg=0.39). Fruit thickness, canopy diameter, height
up to primary branch, percentage of bearing primary branch and coffee leaf rust exhibited
positive direct effect with coffee yield. Cluster analysis based on quantitative characters
grouped the accessions into six clusters of different size. The higher inter cluster distance
were observed between clusters II and VI (142.82), followed by cluster I and VI (100.94).
Principal component analysis with eigenvalue greater than one exhibited 70.55 % of the total
variation, and the highest contribution of traits for total variation accounted by the first and
second principal components with respective value of 25.88% and 20.86%. Accordingly, fruit
length (0.75%), fruit thickness (0.87%), fruit width (0.86%), coffee berry disease (0.42%) and
number of secondary branch (0.32%), % of bearing primary branch (0.39%) and canopy
diameter (0.42%) had more contribution to the total variation. Shannon-waver diversity index
(H’) for different qualitative traits showed existence of diversity for stipule shape, fruit shape,
leaf tip color, fruit color, growth habit, leaf shape, angle of insertion, leaf apex shape and
branching habit. Generally, the result of the study showed existence of significant genetic vari
ability among tested genotypes.