SlideShare a Scribd company logo
1 of 9
Download to read offline
Evaluation of Promising Coffee Wilt Disease (Gibberella xylarioides) Resistant Arabica Coffee (Coffea arabica L.) Genotypes in Ethiopia
IJPBCS
Evaluation of Promising Coffee Wilt Disease (Gibberella
xylarioides) Resistant Arabica Coffee (Coffea arabica L.)
Genotypes in Ethiopia
Admikew Getaneh Yigletu*
Jimma Agricultural Research Center (JARC), Ethiopian Institute of Agricultural Research (EIAR), Ethiopia
E-mail: adamget21@gmail.com
Genetics studies of coffee wilt disease (CWD) and related traits provide valuable evidence in
designing appropriate breeding programs and CWD resistant variety development. The use of
CWD resistant varieties is the most cost-effective, economical and eco-friendly method for the
management of the disease. It is also relevant to smallholder coffee producers or farmers. The
study was conducted to evaluate and select promising CWD resistant genotypes, to estimate
the genetics of traits and determine the correlation among traits. It was conducted in RCBD
with three replications in17 coffee genotypes using artificial seedling inoculation test at the
green house, Jimma Agricultural Research Center (JARC). The analysis of variance showed
highly significant differences (p<0.01) among the genotypes for wilted seedling percentage,
incubation period, number of defoliated leaves and all seedling growth characters (height,
stem diameter, average inter node length, petiole length, leaf area, number of nodes and
leaves). The overall mean performance showed that genotypes 279/71 and Feyate (971)
recorded 6.84% and 8.60% wilted seedling percentage (resistant), respectively; followed by
Odicha (974) and 79233. The wilted seedling percentage also showed high broad sense
heritability coupled with high genetic advance as percent of the mean (GAM). The study is well
done and identified promising CWD resistant genotypes, which should be further study on
multi-location (field condition) and also evaluated for yield, other major diseases and important
traits.
Keywords: Arabica coffee, Heritability, Genetic advanceand Resistant
INTRODUCTION
The global coffee production depends only on two species,
Coffea arabica and Coffea canephora (Labouisse et al.,
2008). Southwestern Ethiopia is the primary center of
origin and genetic diversity for Coffea arabica (Sylvian,
1955; Meyer, 1965; Anthony et al., 2001; Anthony et al.
2002). In 2018/19, world coffee production wasestimated
as10,126.2million kg, with Arabica output, estimated at
6227.4 million kg, accounting for 61% and Robusta,
estimated as3898.8 million kg, representing 39% of the
total.In Africa coffee production was estimated about
1092.36 million kg. Ethiopia shared about 492.6 million
kgand the first producer and exporter in Africa and 5th in
the world (produce 5% of the world and 39 % of sub
Saharan Africa) (ICO, 2019). Arabica coffee shares about
34% of the total exports and 43% of agricultural exports of
the country (Rachel, 2019). Coffee farming alone provides
a livelihood income for around 15 million Ethiopians (16%
of the population), based on four million smallholder farms
(Tefera, 2015).This showed that how much coffee is
important for the Ethiopian economy. However, its
production is low due to traditional coffee production
systems; such as the use of local coffee genotypes, the
widespread and prevalence of diseases, the presence of
abiotic stress and poor agronomic practices (Girma et al.,
2009a).
Coffee berry disease (CBD), coffee wilt disease (CWD)
and coffee leaf rust (CLR) are among the major important
coffee diseases in Ethiopia. Coffee wilt disease (CWD) is
induced by the fungal pathogen Fusarium xylarioides
International Journal of Plant Breeding and Crop Science
Vol. 7(3), pp. 885-893, October, 2020. © www.premierpublishers.org, ISSN: 2167-0449
Research Article
Evaluation of Promising Coffee Wilt Disease (Gibberella xylarioides) Resistant Arabica Coffee (Coffea arabica L.) Genotypes in Ethiopia
Admikew Y. 886
(Gibberella xylarioides). Its incidence and severity are 28%
and 5%, respectively (CABI, 2003; Girma et al., 2009a).
There are different techniques used to control CWD, such
as uprooting and burning of infected coffee trees,
prevention of tree wounding, use of protective fungicides
in sealing wounds, use of disease free planting materials,
disinfecting farm implement and use of biological control
(Trichoderma species). Among which the use of resistant
varieties is the most relevant to producers or farmers
(Rutherford, 2006; Phiri and Baker, 2009; Girma et al.,
2009a). Thus, study was conducted to evaluate and select
promising CWD resistant Arabica coffee genotypes for the
future varietal development, to understand the genetics of
traits and the association of them with morphological traits
under diseased condition.
MATERIAL AND METHODS
Description of the Study Area
The study was conducted at Jimma Agricultural Research
Center (in green house) in Jimma Zone of Oromia
Regional State, Southwest Ethiopia. It is found 7o46’N
latitude and 36o E longitude coordinate and at an elevation
of 1753 meter above sea level. It is also located 358
kilometers away from Addis Ababa and 12 kilometer from
Jimma town in the west direction.
COFFEE GENOTYPES AND EXPERIMENTAL DESIGN
Seventeen Arabica coffee genotypes were evaluated for
four CWD parameters and seven seedling morphological
characters (Table 1). The experiment was laid out using
randomized complete block design (RCBD) with three
replications. The growth medium of coffee seedlings was
prepared from heat sterilized and moistened sandy soil.
Forty Coffee seeds of each genotype were soaked
separately in distilled sterile water for about 48 hours after
removing the parchment (Girma and Mengistu, 2000). The
seeds were sown in heat sterilized and moistened sandy
soil in disinfected plastic pots (each pot has 5652 cm3) and
can irrigated with sterile water every one day’s interval to
maintain adequate moisture for seed germination,
emergence and growth. After germination, the seedlings
were thinned into twenty five per pot, out of these, 20
seedlings were used for artificial inoculation test and the
remaining five seedlings were used as a control (non-
inoculated). Five representative inoculated seedlings were
selected from each pot and labeled yellow thread in order
to measure growth characters. The seedlings per pot for
each genotype were inoculated at the fully opened
cotyledon stage (10 weeks old) with a viable conidial
suspension of Gibberella xylarioides by the stem nicking
technique (Pieters and Van der Graaff, 1980; Girma and
Mengistu, 2000).
Table1: Description of Arabica coffee genotypes used for the study
Coffee
genotypes
Origin Breeding method Released/collection
year
Some characters description
75227 Gera, /Jimma Selection from
local
Landraces
1980/81 Open growth habit, good yielder, green tip leaf
color, CBD resistant, susceptible to CWD
(Demelash and Kifle., 2015)
971 Gelana Abaya/
Borena
Selection from
local landraces
2010 Resistant to CWD (Chala et al., 2012)
74110 Metu / Illubabor Selection from
local landraces
1978/79 Resistant to CBD, susceptible to CWD, good
yielder, compact growth habit, green tip leaf
color (Demelash and Kifle., 2015)
8136 Gera/ Jimma Selection from
local landraces
2006 High yielding potential with consistence bearing
habits, resistant to CBD & CLR, vigorous with
intermediate growth habit, stiff stem,
manageable height, moderately resistant to
CWD (Girma, 2004)
79233 Introduce from
France
International
collection
1979 Green tip leaf color, CWD resistant under
natural infested soil (PO under coffee
germplasm conservation at Gera)
74144A Balle/ Oromia Under collection
breeding program
1978/79 Moderately resistant to CWD under natural
infested soil, susceptible to CBD, high quality,
compact growth habit, broth leaf color (PO)
974 Gelana Abaya/
Borena
Selection from
local landraces
2010 Broth tip leaf color, compact growth habit
resistant to CWD (Chala et al., 2012)
370 Seka-Chekorsa/
Jimma
Selection from
local landraces
Resistant to CWD, broth tip leaf color,
susceptible to CBD (Demelash, 2013)
Evaluation of Promising Coffee Wilt Disease (Gibberella xylarioides) Resistant Arabica Coffee (Coffea arabica L.) Genotypes in Ethiopia
Catimor
J-19
Introduced from
Portugal
International
collection
1998 Resistant to CWD (Girma, 2004)
Catimor
J-21
Introduced from
Portugal
International
collection
1998 Resistant to CWD (Girma, 2004)
7440 Washi, Kaffa Selection from
local landraces
1979/80 Moderately resistant to CWD (Girma, 2004)
279/71 Sokoru/Jimma Selection from
local landraces
2013 CWD resistant, CBD susceptible (Demelash,
2013)
B-64/04 Balle / Oromia Collection under
breeding program
2004 CWD resistant (Kifle et al., 2015)
B-70/04 Balle / Oromia Collection under
breeding program
2004 CWD resistant (Kifle et al., 2015)
74144B Balle / Oromia Collection under
breeding program
1978/79 Susceptible to CBD, compact growth habit (PO)
Geisha* Introduced from
India
International
collection
2002 Highly susceptible to CWD (Demelash, 2013)
SN-5* Kaffa/ SNNPR Under collection
breeding program
Susceptible to CWD (Girma, 2004)
*= susceptible check, PO= personal observation. Source: JARC / Coffee Breeding and Genetics division database for
genotypes origin, breeding method and some characters description
Data on wilted seedling percentage (at 6 months after
inoculation, was calculated from the cumulative number of
wilted over the total number of seedlings (wilted plus
healthy) based on external symptoms), incubation periods
(the time elapsed from inoculation of the pathogen up to
symptoms expression of each genotype), number of
defoliated and yellow leaves per seedling were collected
for disease parameters. Furthermore, seedling growth
characters such as stem height (cm), stem diameter (mm),
numbers of stem nodes per seedling (NN), number of
leaves per seedling, leaf petiole length (cm), average inter
nodes length on the stem (AINL) and leaf area (cm2) were
measure and computed per tree based on Walyero (1983).
Growth characters were measured from4 months old
seedling based on IPGR (1996) coffee descriptors.
All data were subjected to analyses of variance (ANOVA)
using SAS software version 9.3 (SAS, 2011). Fisher’s
least significant different mean separation test was
performed to identify and compare genotypes. The
phenotypic, genotypic and environmental variances were
estimated based on the method suggested by Singh and
Chaudhury (1985). Broad sense heritability and genetic
advance for CWD and seedling growth characters were
also computed using the formula suggested by (Allard,
1999). The area under the disease progress curve
(AUDPC) was also calculated to quantify the level of the
rate reducing the resistance of genotypes based on Jeger
and Viljanen-Rollinson (2001).
RESULTS AND DISCUSSION
Analysis of variance
Analysis of variance mean squares of 17 genotypes for
CWD and seedling growth characters are presented in
Table 2. The analysis showed highly significant differences
(p<0.01) among genotypes for all CWD characters and the
variability for wilted seedling percentage (Figure 1).
Furthermore, mean squares due to genotypes for all
growth characters showed highly significant (p<0.01).
Coffee genotypes reaction against CWD and seedling
growth characters
The mean performances of 17 coffee genotypes for 11
characters are given in Table 3. It was observed that
wilted seedling percentage, number of yellow leaves per
seedling, incubation period (IP) and seedling height
ranged from 6.84 % to 94.74 %; 0.02 to 1.20; 71 to 155
days;and 7.91cm to 12.34 cm, respectively. Genotypes
279/71 and Catimor J-21 represented the maximum and
minimum mean value of the traits; except for wilted
seedling percentage and number of yellow leaves per
seedling, which were in the reverse direction. Similarly,
seedling stem diameter internodes length, number of
nodes and number of leaves per seedling, petiole length,
leaf area and defoliated leaves per seedling ranged from
1.84cm (Catimor J-19 ) to 2.27cm (7440) ,1.48 (Catimor J-
19 ) to 4.25cm (370), 1.20 and 4.80 (974) to 2.31 and 6.49
(74110), 0.35cm (79233) to 0.50cm (971), 6.41cm2
(Catimor J-19 ) to 11.87cm2 (279/71) and 0.00 (279/71)
to 1.00 (74110), respectively. These data indicated that the
presence of high genetic diversity between genotypes for
the above measured characters (Van der Graaff and
Pieters, 1978; Girma et al., 2009b; Chala et al., 2012;
Demelash and Kifle, 2015; Bayetta, 2001; Olika et al.,
2011).
Genotype 279/71 was the uppermost genotype that
observed desirable characters for most traits; such as for
wilted seedling percentage (low CWD infection),
incubation period, seedling height, seedling stem
diameter, leaf area, the number of defoliate and yellow
leaves per seedling. Genotypes 279/71 (6.84%) and 971
(8.60%) exhibited low wilted seedling percentage coupled
with the longer incubation period, 155 days and 121 days,
Evaluation of Promising Coffee Wilt Disease (Gibberella xylarioides) Resistant Arabica Coffee (Coffea arabica L.) Genotypes in Ethiopia
Admikew Y. 888
respectively, followed by 974 and 79233 genotypes.
Moreover, the AUDPC mean result showed significant
variation and progression over time between genotypes
(Figure 2). Low AUDPC mean was calculated for
genotypes 279/71 and 971 similar to wilted seedling
percentage.
Most Arabica coffee genotypes leaves color were changed
to yellow and then, either defoliated or stayed intact3 to 4
months after inoculation starting from older leaves to
younger ones. That means the first true leaves became
yellow; then, either dropped down or wilted without
defoliating and progress to the next true leaves. At the end,
the seedlings were dead completely. This indicated that
genotypes with a greater extent of leaves changed to
yellow and recorded the maximum amount of defoliated or
wilted leaves showed relatively higher CWD infection and
could be considered as susceptible to the disease.
Table 2: The analysis of variance (ANOVA) of CWD and seedling growth characters mean squares for 17 Arabica
coffee genotypes
Characters mean square and p’
Sources
DF WS
(%)
IP
(days)
AUDPC NDL
(no.)
NYL
(no.)
SH
(cm)
SSD
(cm)
AINL
(cm)
NN
(no.)
PL
(cm)
LA
(cm2)
NL
(no.)
Block 2
1000.98
(666.29)
456.37
5110325.
2
0.010 0.040 0.89 0.024 0.42 0.036 0.002 1.056 0.544
Genotyp
es
16
2161.31**
(1179.73**)
1290.27
**
16205358
.7**
0.241
**
0.255
**
6.31**
0.039*
*
1.83**
0.267*
*
0.005*
*
9.49**
0.766*
*
Error 32 103.11 (58.35) 157.77 784550.8 0.029 0.050 0.400 0.005 0.101 0.011 0.0005 0.967 0.125
*, ** = significant at 5% and 1% probability level, respectively, DF = degree of freedom, p’ = probability level, cm= cent
meter, cm2= cent meter square, mm= mill meter, no. = number AINL= average inter node length, AUDPC = area under
disease progress curve, IP = incubation period, LA= leaf area, NDL= number of defoliate leaves per seedling, NL= number
of leaves per seedling, NN= nodes number, NYL= number of yellow leaves per seedling, PL= petiole length, SH= seedling
height, SSD= seedling stem diameter, WS%= Wilted coffee seedlings percentage. Data in bracket is arcsine transformed
value of wilted seedlings percentage
In general, the mean analysis result of genotype 279/71
was the lowest wilted seedling percentage, minimum
number of defoliate leaves and yellow leaves per seedling,
longest incubation period, tallest height and widest leaf
area compared to others. Therefore, it was promising
genotype to CWD resistant and for most other important
characters; followed by 974 and 79233. However,
genotypes 279/71 and 971 were not significantly different
for wilted seedling percentage. On the other hand, Catimor
J-21 was susceptible to CWD and undesirable genotype
for the characters mentioned above, followed by Catimor
J-19, Geisha, 75227 and B-64/04. Therefore, the present
study confirmed that 279/71, 971, 974 and 79233
genotypes revealed resistant to moderately resistant or
tolerant to CWD and important to inclusion in future
resistance breeding programs. Compared with inoculated
seedlings non inoculated ones showed no any CWD
symptoms or death on the same experimental pots.
CWD resistant genotypes showed relatively and
significantly longer incubation period, elongated height,
wider leaf area and stem diameter than the susceptible
genotypes. This result contributes to some insight for CWD
resistant selection criteria. The incubation period result
indicated that after the pathogen favor for penetration to
the genotypes, the host (Arabica coffee genotype) struggle
to protect themselves from a severe infection, even after
the infection takes place. The host most likely defends
themselves through either genetic, mechanical barrier or
chemical release or a combination of these defense
mechanisms before symptoms appearance on their parts.
This statement also supported by Agrios (2005), some of
the plant defense structures and substances exist before
the plant comes into contact with the pathogen, but the
most effective defense structures and substances are
produced in response to attack by the pathogen. Similarly,
wide stem diameter and leaf area possibly important for
resistance. Because, the wider diameter can provide some
amount of water from the root to the upper parts of the
seedling and withstand translocation problems, even if
there are clogging and hindrances of pathogens parts
inside it. So, the seedlings accomplish their physiological
activities and survive better than the thin diameter
genotypes. In case of extensive leaf area also survive
more due to the ability to photosynthesis efficiently and
prepare their optimum food. As a result, stem diameter
together with leaf area benefit the seedlings to become
better survive since the relatively optimum amount of water
translocation through the stem to the leaves parts to make
photosynthesis and synthesized food move into stem and
root to perform its physiological activities.
The present result is in harmony with some previous
scholars. According to Chala et al. (2012) varieties 971
and 974 showed low wilted seedling percentage and
considered as CWD resistant genotypes. Demelash
(2013) also reported 279/71 and 370 as CWD resistant
genotype; but the current result showed that 370
genotypes infected about 58%, it is a contradictory result.
Through continuous observation and follow up in the
Evaluation of Promising Coffee Wilt Disease (Gibberella xylarioides) Resistant Arabica Coffee (Coffea arabica L.) Genotypes in Ethiopia
Int. J. Plant Breed. Crop Sci. 889
germplasm conservation field, genotype 79233 did not
manifest any tree death; even though all coffee genotypes
were dead around it due to Gibberella xylarioides. Then,
this genotype was included in the study to check their
resistant level in the artificial inoculation test. Despite this,
some number of wilted seedlings happened; it gave
consistent resistant reaction and ranked the 4th resistant
genotype compared to all tested or previously screened
CWD resistant genotypes. However, the current results
for Catimor J-21 and Catimor J-19 varieties were different
from Girma (2004) report; he considered that these
varieties showed CWD resistant reaction under seedling
inoculation test and used as a resistant check in most
CWD screening studies. The possible cause of the present
result disagreement with previous works can be the type
of isolate used, differences between technical experts to
wound seedlings and put proper inoculum concentration
on it, environmental (greenhouse) conditions and season
or the combination of these factors during inoculation.
Figure 1: Arabica coffee variability for CWD and growth characters using artificial inoculation test in the
greenhouse;
A) resistant genotype (279/71) B) susceptible genotypes (Geisha) C) variability of genotypes to CWD at similar condition
Evaluation of Promising Coffee Wilt Disease (Gibberella xylarioides) Resistant Arabica Coffee (Coffea arabica L.) Genotypes in Ethiopia
Admikew Y. 890
Table 3: Mean performance of 17 Arabica coffee genotypes for CWD and seedling growth characters
Genotypes WS (%) IP (days)
AUDP
C
NDL NYL SH (cm) SSD (cm) AINL (cm) NN PL (cm) LA (cm2) NL
75227 67.8 (56.0) 91.7 5042.5 0.20 0.60 11.2 2.10 3.99 1.81 0.47 10.7 5.31
971 8.6 (13.0) 121.0 275.1 0.49 0.53 12.3 2.20 2.80 1.96 0.50 11.2 5.82
74110 66.7 (54.8) 104.7 3080.0 1.00 0.42 10.3 2.03 2.42 2.31 0.45 8.4 6.49
8136 57.8 (49.6) 106.7 3289.4 0.27 0.24 11.4 2.09 2.97 1.91 0.46 10.1 5.60
79233 35.0 (36.2) 125.3 1061.7 0.18 0.11 10.8 2.06 2.32 2.16 0.35 7.1 6.18
74144A 45.6 (42.5) 98.7 3013.7 0.68 0.32 11.4 2.15 2.86 2.26 0.46 9.0 6.34
974 23.3 (27.8) 121.0 653.3 0.09 0.11 11.9 2.11 3.75 1.20 0.43 9.9 4.80
370 58.5 (50.2) 116.7 2991.6 0.14 0.16 12.2 1.98 4.25 1.33 0.48 11.8 4.98
Catimor J-
19 93.3 (81.1) 73.7 6517.2 0.47 0.63 8.1 1.84 1.48 2.05 0.39 6.4 6.04
Catimor J-
21 94.7 (82.2) 71.0 8114.5 0.52 1.20 7.9 1.92 1.59 2.03 0.38 6.7 6.01
7440 65.0 (54.4) 98.0 4328.3 0.89 0.18 11.9 2.27 2.98 2.13 0.48 11.4 5.95
279/71 6.8 (12.5) 155.0 192.8 0.00 0.02 12.3 2.18 3.39 2.00 0.43 11.9 6.00
B-64/04 79.6 (63.8) 104.7 4172.4 0.51 0.27 10.5 1.96 2.94 1.77 0.44 8.3 5.35
B-70/04 57.6 (49.4) 94.7 3110.1 0.15 0.29 10.1 2.08 3.04 1.94 0.44 10.2 5.38
74144B 66.7 (54.8) 99.3 3383.3 0.49 0.49 12.3 2.11 2.87 2.16 0.46 9.7 6.12
Geisha 89.5 (71.1) 78.0 7113.4 0.38 0.63 8.6 1.90 2.05 2.08 0.44 9.3 6.00
SN-5 41.1 (39.8) 112.3 1678.2 0.15 0.13 10.9 2.10 3.73 1.72 0.44 11.7 5.02
Mean 56.33(49.4) 104.26 3412.8 0.39 0.37 10.83 2.06 2.91 1.93 0.44 9.62 5.73
LSD (0.05) 16.89(12.7) 20.89 1473.1 0.28 0.37 1.05 0.11 0.53 0.18 0.04 1.64 0.59
CV (%)
18.02(15.46
) 12.05 25.95 43.06 59.29 5.86 3.31 10.92 5.55 5.26 10.22 6.16
Data in bracket is arcsine transformed value of wilted seedlings percentage, cm= cent meter, cm2= cent meter square,
mm= mill meter
AINL= average inter node length, IP = incubation period, LA= leaf area, NDL= number of defoliate leaves per seedling,
NL= number of leaves, NN= number of nodes, NYL= number of yellow leaves per seedling, PL= petiole length, SH=
seedling height, SSD= seedling stem diameter, TWS%= Transformed value of Wilted seedlings percentage, WS%= Wilted
coffee seedlings percentage
Evaluation of Promising Coffee Wilt Disease (Gibberella xylarioides) Resistant Arabica Coffee (Coffea arabica L.) Genotypes in Ethiopia
Int. J. Plant Breed. Crop Sci. 891
Figure 2: AUDPC on CWD severity in Arabica coffee genotypes
Heritability
According to Verma and Agarwal (1982), heritability values
greater than 50% are considered as high, values less than
20% are low and between 20 to 50% as medium. Based
on this, all characters resistance showed high broad sense
heritability. The manifested of high broad sense heritability
along with GAM showed for low wilted seedling
percentage (CWD resistance), incubation period, seedling
height, average inter node length, nodes number, leaf
area, minimum number of defoliate leaves and yellow
leaves. According to Allard (1999) and Acquaah (2012)
heritability explanation, for these characters the observed
variability mostly due to heredity (genetic). Based on Table
4, the genotypic variance is greater than the environmental
variance for all traits. It indicates that the characters are
controlled most importantly by genes even if
environmental factors have their contribution. Therefore,
the phenotypic value of the characters used as a guide to
the breeding value (additive effect) and it aid to make
selection easily. As Fehr (1987) described, the
effectiveness of selection for a trait depends on the relative
importance of genetic and non-genetic factors in the
expression of phenotypic differences among genotypes in
a population.
Table 4: Estimation of variance components, heritability and GAM for CWD parameters and seedling growth
characters
Characters 𝛅 𝟐
p 𝛅 𝟐
g 𝛅 𝟐
e H2B GA GAM
LWSP 720.44 686.07 34.37 95.23 52.65 93.48
Incubation period 430.09 377.50 52.59 87.77 37.50 35.97
MNDL 0.080 0.071 0.010 87.97 0.51 131.70
MNYL 0.085 0.068 0.017 80.39 0.48 130.49
Seedling height 2.102 1.97 0.133 93.66 2.80 25.83
Stem diameter 0.013 0.011 0.002 87.18 0.20 9.94
Average inter node length 0.610 0.576 0.034 94.48 1.52 52.24
Nodes number 0.089 0.085 0.004 95.88 0.59 30.53
Petiole length 0.0017 0.0015 0.0002 90.00 0.08 17.20
Leaf area 3.163 2.841 0.322 89.81 3.29 34.21
Leaves number 0.255 0.214 0.042 83.68 0.87 15.20
H2B= broad sense heritability, GA =genetic advance (5% of selection), GAM =genetic advance as percent of mean, 𝜹 𝟐
g=
genetic variance, 𝜹 𝟐
p =phenotypic variance, LWSP =low wilted seedling percentage, MNDL = minimum number of
defoliate leaves, MNYL = minimum number of yellow leaves
Evaluation of Promising Coffee Wilt Disease (Gibberella xylarioides) Resistant Arabica Coffee (Coffea arabica L.) Genotypes in Ethiopia
Admikew Y. 892
CONCLUSION
Coffee wilt disease is a vascular disease caused by
Gibberella xylarioides Heim and Saccas. It becomes an
increasing importance in Arabica coffee production.
Testing of different Arabica coffee genotypes provide
valuable evidence in the development of CWD resistant
variety (ies). The trail was conducted to identify promising
resistant genotypes, to estimate heritability and genetic
advance of CWD and growth traits..
Among the genotypes under the test 279/71 (6.84%)
exhibited the lowest wilted seedling percentage, minimum
number of defoliated leaves and yellow leaves per
seedling, extended incubation period, tall in height and
wide leaf area. So, it was considered as a promising
genotype to CWD resistance followed by 971 (8.60%), 974
(23.33%) and 79233 (35.00%).These genotypes are
important for inclusion in future resistance breeding
programs. Furthermore, the estimation of high broad
sense heritability coupled with GAM were observed for
wilted seedling percentage, incubation period, average
inter node length, leaf area and number of defoliated
leaves per seedling; it could be improved easily through
selection.
It can be concluded that promising CWD resistant
genotypes were identified which should be evaluated
further for CWD, other major diseases, yield and important
agronomic traits at multi-locations under open field
conditions.
REFERENCES
Acquaah G (2012). Principles of plant genetics and
breeding. John Wiley and Sons. 740p.
Agrios GN (2005). Plant pathology.USA, Elsevier
Academic Press. 922p.
Allard RW (1999). Principles of plant breeding.New York,
John Wiley and Sons. 254p.
Anthony F, Bertrand B, Quiros O, Wilches A, Lashermes
P, BerthaudJand Charrier A (2001). Genetic diversity of
wild coffee (Coffea arabica L.) using molecular markers.
Euphytica 118(1):53-65.
Anthony F, Combes MC, Astorga C, Bertrand B, Graziosi
Gand Lashermes P (2002). The origin of cultivated
Coffea arabica L. varieties revealed by AFLP and SSR
markers. Theoretical and Applied Genetics 104 (5):894-
900.
Arega Z (2006). Diversity of Arabica coffee population in
afro-mountain rainforests of Ethiopia in relation to coffee
berry disease (Colletotrichum kahawae) and coffee wilt
disease (Gibberella xylarioids). An MSC thesis
submitted to the school of graduate studies of Addis
Ababa University, Ethiopia. 92p.
Bayetta B (1991). Nursery evaluation of heterosis and
combining ability in reference to origin and morphology
of parents in coffee (Coffea arabica L.). An MSC Thesis
presented to the school of graduate studies of Alemaya
University, Ethiopia. 128p.
Bayetta B (2001). Arabica coffee breeding for yield and
resistance to coffee berry disease (Colleototrichum
kahawae sp. Nov). Doctoral dissertation submitted to
the Wye University, London. 272p.
CABI (2003). Surveys to assess the extent of coffee wilt
disease in East and Central Africa: Final technical
report. CABI Regional Center, Nairobi, Kenya. 49p.
ChalaJ, Girma A, Demelash T, AregaZ, Sihen B, and
Adem A (2012). Development and release of coffee
berry disease resistant varieties to specialty coffee
producing regions in Ethiopia: Proceedings of 24th
international scientific colloquium on coffee (ASIC).
Costa Rica, Jimma Agricultural Research Centre. pp.
637-644.
Demelash T (2013). Evaluation of Arabica coffee (Coffea
arabica L.) germplasm for major coffee disease with
special emphasis to coffee wilt disease (Gibberella
xylarioids) at Jimma, Ethiopia. An MSC Thesis
presented to the school of graduate studies of Jimma
University.
Demelash T and Kifle B (2015). Evaluation of released
Arabica coffee varieties (Coffea arabica L.) for major
coffee diseases with special emphasis to coffee wilt
disease (Gibberella xylarioides) at Jimma, Ethiopia.
Journal of Biology, Agriculture and Healthcare5
(15):81-86.
FAO (Food and Agriculture Organization) (2014). Analysis
of price incentives for coffee in Ethiopiafor the time
period 2005–2012: Technical notes series, MAFAP, by
Kuma Worako T, MasAparisi A and Lanos B. Rome.
Fehr WR (1987). Principles of cultivar development: theory
and techniques. Macmillan Publishing Company, New
York. 536p.
Girma A. and Mengistu H (2000). Cultural characteristics
and pathogenicity of Gibberella xylarioides isolates on
coffee. Pest management Journal of Ethiopia, 4:11-18.
Girma A (2004). Diversity in pathogenicity and genetics of
Gibberella xyilarioides (Fusarium xylarioides)
population and resistance of coffee spp. in Ethiopia.
Doctoral Dissertation presented to University of Bonn,
Germany. 81p.
Girma A, Million A, Hindorf H, Arega Z, Demelash T and
Chala J (2009a). Coffee wilt disease in Ethiopia. In.
Flood J (eds.), Coffee wilt disease.UK, Manila and
Philippines: Typeset by MTC. pp. 50-68.
Girma A,Biyesse D and Musoli PC (2009b). Host -
pathogen interaction in Coffea- Gibberella xylariodes
patho-system. In. Flood J (eds.), Coffee wilt disease.
UK, Manila and Philippines: Typeset by MTC.pp.120-
136.
International Coffee Organization (2019). Coffee market
report. http://www.ico.org/documents/cy2018-19/cmr-
0719-e.pdf
Evaluation of Promising Coffee Wilt Disease (Gibberella xylarioides) Resistant Arabica Coffee (Coffea arabica L.) Genotypes in Ethiopia
Int. J. Plant Breed. Crop Sci. 893
International Plant Genetic Resource Institute (1996).
Descriptors for coffee (coffea spp. and psilanthus spp).
International plant Genetic Resources Institute. Rome,
Italy. 38p.
Jeger MJ and Viljanen-Rollinson SLH (2001). The use of
the area under the disease-progress curve (AUDPC) to
assess quantitative disease resistance in crop cultivars.
Theor. Appl. Genet. 102:32-40.
Kassahun H and Getnet G (2008). Performance, structure
and prospects of coffee marketing in Ethiopia. In. Girma
A, Bayetta B, Tesfaye S, Taye K and EndaleT(eds.),
Coffee Diversity and Knowledge: Proceedings of a
national workshop four decades of coffee research and
development in Ethiopia. Addis Ababa, Ethiopia. pp.
416–423.
Kifle B, Demelash T and Gabisa G (2015). Screening of
some coffee Arabica genotypes against coffee wilt
diseases (Gibberella xylarioides Heim and Saccas).
International Journal of Sustainable Agricultural
Research 2(3): 66-76.
Labouisse JP, Bellachew B, Kotecha S, Bertrand B (2008).
Current status of coffee (Coffea arabica L.) genetic
resources in Ethiopia: implications for conservation.
Genetic Resources and Crop Evolution 55(7):1079.
Meyer FG (1965). Notes on wild Coffea arabica from
Southwestern Ethiopia, with some historical
considerations, Economic Botany19:136–151.
Olika K, Sentayehu A, Taye K and Weyessa G. (2011).
Variability of quantitative traits in limmu coffee (Coffea
arabica L.) in Ethiopia. International Journal of
Agricultural Research 6(6):482-493.
Phiri N and Baker P (2009). A synthesis of the work of the
Regional Coffee Wilt Programme 2000–2007. Coffee
Wilt Disease in Africa. Wallingford, United Kingdom.
CABI.
https://www.researchgate.net/publication/274389248
Pieters R and Van der Graaff NA (1980). Gebberrella
xyilarioides on Arabica coffee: evaluation of testing
methods and evidence for the horizontal nature of
Resistance. Neth. J. Pl. Path. 86:37-43.
Rachel Bickford (2019). Ethiopia: Coffee Annual Report.
GAIN Report. USDA Foreign Agricultural Service
(Number ET1904–5/29/2019). pp6.
Rutherford MA (2006). Current knowledge of coffee wilt
disease, a major constraint to coffee production in
Africa. Symposium on Fusarium induced diseases of
tropical perennial crops. Phytopathology 96: 663–666.
Statistical analysis system (2011). SAS user’s guide
(version 9.3). SAS Institute. USA, Cary, NC.
Seyoum S (2003). Genetic divergence for seedling
parameters and associations among agronomic traits in
the Ethiopian coffee (Coffea arabica L.) germplasm. An
MSc thesis submitted to the School of graduate studies
of Alemaya University, Ethiopia. 91p.
Singh RK and Chaudhary BD (1985). Biometrical methods
in quantitative genetic analysis. New Delhi, Kalyani
publishers. 318p.
Sylvian PG (1955). Some observation on Coffea arabica
L. in Ethiopian. Turrialba 5:37-53.
Tefera A (2015). Ethiopia: Coffee Annual Report. GAIN
Report (number ET1514–26/5/2015). USDA Foreign
Agricultural Service. pp 6.
Van der Graaff NA and Pieters R (1978). Resistance levels
in Coffea arabica to Gibberella xylarioides and distribution
pattern of the disease. Neth. J.Pl. Pathol. 84: 117-120.
Verma PS and Agarwal VK (1982). Genetics. New Delhi,
Ramnagar: Chad, S. and Co. Ltd. 580p.
Viands DR (1985). Comparison of Maris Kabul with Vertus
alfalfa for resistance to verticillium wilt. Crop Sci. 25:1096-
1100.
Accepted 5 October 2020
Citation: Admikew Y (2020). Evaluation of Promising
Coffee Wilt Disease (Gibberella xylarioides) Resistant
Arabica Coffee (Coffea arabica L.) Genotypes in Ethiopia.
International Journal of Plant Breeding and Crop Science,
7(3): 885-893.
Copyright: © 2020: Admikew Y. This is an open-access
article distributed under the terms of the Creative
Commons Attribution License, which permits unrestricted
use, distribution, and reproduction in any medium,
provided the original author and source are cited.

More Related Content

What's hot

Advances in Breeding of Major Field Crop
Advances in Breeding of Major Field CropAdvances in Breeding of Major Field Crop
Advances in Breeding of Major Field CropAkshay Deshmukh
 
Plant introduction
Plant introductionPlant introduction
Plant introductionNiroj jena
 
B4FA 2012 Tanzania: Genetics, plant breeding and agriculture - Tina Barsby
B4FA 2012 Tanzania: Genetics, plant breeding and agriculture - Tina BarsbyB4FA 2012 Tanzania: Genetics, plant breeding and agriculture - Tina Barsby
B4FA 2012 Tanzania: Genetics, plant breeding and agriculture - Tina Barsbyb4fa
 
Germplasm introduction and exchange
Germplasm introduction and exchangeGermplasm introduction and exchange
Germplasm introduction and exchangeVINAYKUMARGOBBURI
 
Plant Breeding And Transgenic Crop Comparative Approach
Plant Breeding And Transgenic Crop Comparative ApproachPlant Breeding And Transgenic Crop Comparative Approach
Plant Breeding And Transgenic Crop Comparative ApproachAmol Sable
 
Groundnut improvement: Use of genetic and genomic tools
Groundnut improvement: Use of genetic and genomic toolsGroundnut improvement: Use of genetic and genomic tools
Groundnut improvement: Use of genetic and genomic toolsICRISAT
 
Re-collection to assess temporal variation in wild barley diversity in Jordan
Re-collection to assess temporal variation in wild barley diversity in JordanRe-collection to assess temporal variation in wild barley diversity in Jordan
Re-collection to assess temporal variation in wild barley diversity in JordanBioversity International
 
Conservation of plant genetic resources and cryopreservation
Conservation of plant genetic resources and cryopreservationConservation of plant genetic resources and cryopreservation
Conservation of plant genetic resources and cryopreservationDr. Naveen Gaurav srivastava
 
Germplasm utilization
Germplasm utilizationGermplasm utilization
Germplasm utilizationICRISAT
 
Pre breeding and crop improvement using cwr and lr
Pre breeding and crop improvement using cwr and lrPre breeding and crop improvement using cwr and lr
Pre breeding and crop improvement using cwr and lrAbdul GHAFOOR
 
Intoduction to plant breeding
Intoduction to plant breedingIntoduction to plant breeding
Intoduction to plant breedingRoshan Parihar
 
Plant exploration, germplasm collection, conservation and utilization
Plant exploration, germplasm collection, conservation and utilizationPlant exploration, germplasm collection, conservation and utilization
Plant exploration, germplasm collection, conservation and utilizationSyed Zahid Hasan
 
The sustainable maintenance and utilization of plant genetic resources in Egy...
The sustainable maintenance and utilization of plant genetic resources in Egy...The sustainable maintenance and utilization of plant genetic resources in Egy...
The sustainable maintenance and utilization of plant genetic resources in Egy...FAO
 
Monitoring the Second Global Plan of Action for PGRFA and Data Collection in...
Monitoring the Second Global Plan of Action for PGRFA and Data Collection in...Monitoring the Second Global Plan of Action for PGRFA and Data Collection in...
Monitoring the Second Global Plan of Action for PGRFA and Data Collection in...FAO
 

What's hot (20)

Advances in Breeding of Major Field Crop
Advances in Breeding of Major Field CropAdvances in Breeding of Major Field Crop
Advances in Breeding of Major Field Crop
 
zerihun journal
zerihun journalzerihun journal
zerihun journal
 
Plant introduction
Plant introductionPlant introduction
Plant introduction
 
Zerihun Tsegay, et al_2
Zerihun Tsegay, et al_2Zerihun Tsegay, et al_2
Zerihun Tsegay, et al_2
 
B4FA 2012 Tanzania: Genetics, plant breeding and agriculture - Tina Barsby
B4FA 2012 Tanzania: Genetics, plant breeding and agriculture - Tina BarsbyB4FA 2012 Tanzania: Genetics, plant breeding and agriculture - Tina Barsby
B4FA 2012 Tanzania: Genetics, plant breeding and agriculture - Tina Barsby
 
Germplasm introduction and exchange
Germplasm introduction and exchangeGermplasm introduction and exchange
Germplasm introduction and exchange
 
Subtropical grape breeding india
Subtropical grape breeding indiaSubtropical grape breeding india
Subtropical grape breeding india
 
Plant Breeding And Transgenic Crop Comparative Approach
Plant Breeding And Transgenic Crop Comparative ApproachPlant Breeding And Transgenic Crop Comparative Approach
Plant Breeding And Transgenic Crop Comparative Approach
 
Groundnut improvement: Use of genetic and genomic tools
Groundnut improvement: Use of genetic and genomic toolsGroundnut improvement: Use of genetic and genomic tools
Groundnut improvement: Use of genetic and genomic tools
 
Re-collection to assess temporal variation in wild barley diversity in Jordan
Re-collection to assess temporal variation in wild barley diversity in JordanRe-collection to assess temporal variation in wild barley diversity in Jordan
Re-collection to assess temporal variation in wild barley diversity in Jordan
 
Conservation of plant genetic resources and cryopreservation
Conservation of plant genetic resources and cryopreservationConservation of plant genetic resources and cryopreservation
Conservation of plant genetic resources and cryopreservation
 
Germplasm utilization
Germplasm utilizationGermplasm utilization
Germplasm utilization
 
Plant genetic resources
Plant genetic resourcesPlant genetic resources
Plant genetic resources
 
Pre breeding and crop improvement using cwr and lr
Pre breeding and crop improvement using cwr and lrPre breeding and crop improvement using cwr and lr
Pre breeding and crop improvement using cwr and lr
 
Intoduction to plant breeding
Intoduction to plant breedingIntoduction to plant breeding
Intoduction to plant breeding
 
Plant exploration, germplasm collection, conservation and utilization
Plant exploration, germplasm collection, conservation and utilizationPlant exploration, germplasm collection, conservation and utilization
Plant exploration, germplasm collection, conservation and utilization
 
Plant genetic resources
Plant genetic resourcesPlant genetic resources
Plant genetic resources
 
The sustainable maintenance and utilization of plant genetic resources in Egy...
The sustainable maintenance and utilization of plant genetic resources in Egy...The sustainable maintenance and utilization of plant genetic resources in Egy...
The sustainable maintenance and utilization of plant genetic resources in Egy...
 
Iita yam breeding 2005-2015
Iita yam breeding 2005-2015Iita yam breeding 2005-2015
Iita yam breeding 2005-2015
 
Monitoring the Second Global Plan of Action for PGRFA and Data Collection in...
Monitoring the Second Global Plan of Action for PGRFA and Data Collection in...Monitoring the Second Global Plan of Action for PGRFA and Data Collection in...
Monitoring the Second Global Plan of Action for PGRFA and Data Collection in...
 

Similar to Evaluation of Promising Coffee Wilt Disease (Gibberella xylarioides) Resistant Arabica Coffee (Coffea arabica L.) Genotypes in Ethiopia

Coffee berry disease (Colletotrichum kahawae): status, pathogenic variability...
Coffee berry disease (Colletotrichum kahawae): status, pathogenic variability...Coffee berry disease (Colletotrichum kahawae): status, pathogenic variability...
Coffee berry disease (Colletotrichum kahawae): status, pathogenic variability...Premier Publishers
 
Correlation and path coefficient analysis for yield and yield components in s...
Correlation and path coefficient analysis for yield and yield components in s...Correlation and path coefficient analysis for yield and yield components in s...
Correlation and path coefficient analysis for yield and yield components in s...Premier Publishers
 
Soil science and crop production. (Jaar) 2020 volume 8, number 1
Soil science and crop production. (Jaar) 2020 volume 8, number 1Soil science and crop production. (Jaar) 2020 volume 8, number 1
Soil science and crop production. (Jaar) 2020 volume 8, number 1ARCN
 
Distribution assessment and pathogenicity test of coffee berry disease (Colle...
Distribution assessment and pathogenicity test of coffee berry disease (Colle...Distribution assessment and pathogenicity test of coffee berry disease (Colle...
Distribution assessment and pathogenicity test of coffee berry disease (Colle...Premier Publishers
 
Recent advances on coffee leaf rust.pdf
Recent advances on coffee leaf rust.pdfRecent advances on coffee leaf rust.pdf
Recent advances on coffee leaf rust.pdfBijayaUpadhya1
 
SURVEY ON POTENTIALS AND CONSTRAINTS OF SHADE TREE SPECIES FOR ARABICA COFFEE...
SURVEY ON POTENTIALS AND CONSTRAINTS OF SHADE TREE SPECIES FOR ARABICA COFFEE...SURVEY ON POTENTIALS AND CONSTRAINTS OF SHADE TREE SPECIES FOR ARABICA COFFEE...
SURVEY ON POTENTIALS AND CONSTRAINTS OF SHADE TREE SPECIES FOR ARABICA COFFEE...paperpublications3
 
Crop improvement by mutation breeding, polyploidy breeding & rootstock breedi...
Crop improvement by mutation breeding, polyploidy breeding & rootstock breedi...Crop improvement by mutation breeding, polyploidy breeding & rootstock breedi...
Crop improvement by mutation breeding, polyploidy breeding & rootstock breedi...AmanDohre
 
Evaluation of harvesting and postharvest processing method on raw quality att...
Evaluation of harvesting and postharvest processing method on raw quality att...Evaluation of harvesting and postharvest processing method on raw quality att...
Evaluation of harvesting and postharvest processing method on raw quality att...Premier Publishers
 
coffee berry borer
coffee berry borercoffee berry borer
coffee berry borerGuru P N
 
Efficacy of Some Botanicals in the Control of Fungi Causing post harvest rot ...
Efficacy of Some Botanicals in the Control of Fungi Causing post harvest rot ...Efficacy of Some Botanicals in the Control of Fungi Causing post harvest rot ...
Efficacy of Some Botanicals in the Control of Fungi Causing post harvest rot ...iosrjce
 
SURVEY ON POTENTIALS AND CONSTRAINTS OF SHADE TREE SPECIES FOR ARABICA COFFEE...
SURVEY ON POTENTIALS AND CONSTRAINTS OF SHADE TREE SPECIES FOR ARABICA COFFEE...SURVEY ON POTENTIALS AND CONSTRAINTS OF SHADE TREE SPECIES FOR ARABICA COFFEE...
SURVEY ON POTENTIALS AND CONSTRAINTS OF SHADE TREE SPECIES FOR ARABICA COFFEE...paperpublications3
 
Variability and Association of Yield and Yield Component Traits of Durum Whea...
Variability and Association of Yield and Yield Component Traits of Durum Whea...Variability and Association of Yield and Yield Component Traits of Durum Whea...
Variability and Association of Yield and Yield Component Traits of Durum Whea...Premier Publishers
 
Evaluation of Improved Cowpea (Vigna unguiculata L) Varieties for Adaptation ...
Evaluation of Improved Cowpea (Vigna unguiculata L) Varieties for Adaptation ...Evaluation of Improved Cowpea (Vigna unguiculata L) Varieties for Adaptation ...
Evaluation of Improved Cowpea (Vigna unguiculata L) Varieties for Adaptation ...Premier Publishers
 
Correlation and Path Coefficient Analysis of some Coffee (Coffea arabica L.) ...
Correlation and Path Coefficient Analysis of some Coffee (Coffea arabica L.) ...Correlation and Path Coefficient Analysis of some Coffee (Coffea arabica L.) ...
Correlation and Path Coefficient Analysis of some Coffee (Coffea arabica L.) ...Premier Publishers
 
Agronomic, Yield and Quality Performance Evaluation of Improved Vetch Varieti...
Agronomic, Yield and Quality Performance Evaluation of Improved Vetch Varieti...Agronomic, Yield and Quality Performance Evaluation of Improved Vetch Varieti...
Agronomic, Yield and Quality Performance Evaluation of Improved Vetch Varieti...Premier Publishers
 
Maize breeding in east africa region presentation
Maize breeding in east africa region presentationMaize breeding in east africa region presentation
Maize breeding in east africa region presentationBaraka Mdenye
 
Review on Integrated Pest Management of Coffee Berry Disease and Coffee Berry...
Review on Integrated Pest Management of Coffee Berry Disease and Coffee Berry...Review on Integrated Pest Management of Coffee Berry Disease and Coffee Berry...
Review on Integrated Pest Management of Coffee Berry Disease and Coffee Berry...Premier Publishers
 
Evaluation of Soya Bean Varieties at Moisture Stress of Eastern Harerghe Zone...
Evaluation of Soya Bean Varieties at Moisture Stress of Eastern Harerghe Zone...Evaluation of Soya Bean Varieties at Moisture Stress of Eastern Harerghe Zone...
Evaluation of Soya Bean Varieties at Moisture Stress of Eastern Harerghe Zone...CrimsonpublishersMCDA
 

Similar to Evaluation of Promising Coffee Wilt Disease (Gibberella xylarioides) Resistant Arabica Coffee (Coffea arabica L.) Genotypes in Ethiopia (20)

Coffee berry disease (Colletotrichum kahawae): status, pathogenic variability...
Coffee berry disease (Colletotrichum kahawae): status, pathogenic variability...Coffee berry disease (Colletotrichum kahawae): status, pathogenic variability...
Coffee berry disease (Colletotrichum kahawae): status, pathogenic variability...
 
Correlation and path coefficient analysis for yield and yield components in s...
Correlation and path coefficient analysis for yield and yield components in s...Correlation and path coefficient analysis for yield and yield components in s...
Correlation and path coefficient analysis for yield and yield components in s...
 
Soil science and crop production. (Jaar) 2020 volume 8, number 1
Soil science and crop production. (Jaar) 2020 volume 8, number 1Soil science and crop production. (Jaar) 2020 volume 8, number 1
Soil science and crop production. (Jaar) 2020 volume 8, number 1
 
Distribution assessment and pathogenicity test of coffee berry disease (Colle...
Distribution assessment and pathogenicity test of coffee berry disease (Colle...Distribution assessment and pathogenicity test of coffee berry disease (Colle...
Distribution assessment and pathogenicity test of coffee berry disease (Colle...
 
Recent advances on coffee leaf rust.pdf
Recent advances on coffee leaf rust.pdfRecent advances on coffee leaf rust.pdf
Recent advances on coffee leaf rust.pdf
 
SURVEY ON POTENTIALS AND CONSTRAINTS OF SHADE TREE SPECIES FOR ARABICA COFFEE...
SURVEY ON POTENTIALS AND CONSTRAINTS OF SHADE TREE SPECIES FOR ARABICA COFFEE...SURVEY ON POTENTIALS AND CONSTRAINTS OF SHADE TREE SPECIES FOR ARABICA COFFEE...
SURVEY ON POTENTIALS AND CONSTRAINTS OF SHADE TREE SPECIES FOR ARABICA COFFEE...
 
EFFECT OF WATERMELON PROPAGATION BY CUTTINGS ON
EFFECT OF WATERMELON PROPAGATION BY CUTTINGS ON   EFFECT OF WATERMELON PROPAGATION BY CUTTINGS ON
EFFECT OF WATERMELON PROPAGATION BY CUTTINGS ON
 
Crop improvement by mutation breeding, polyploidy breeding & rootstock breedi...
Crop improvement by mutation breeding, polyploidy breeding & rootstock breedi...Crop improvement by mutation breeding, polyploidy breeding & rootstock breedi...
Crop improvement by mutation breeding, polyploidy breeding & rootstock breedi...
 
Evaluation of harvesting and postharvest processing method on raw quality att...
Evaluation of harvesting and postharvest processing method on raw quality att...Evaluation of harvesting and postharvest processing method on raw quality att...
Evaluation of harvesting and postharvest processing method on raw quality att...
 
coffee berry borer
coffee berry borercoffee berry borer
coffee berry borer
 
Efficacy of Some Botanicals in the Control of Fungi Causing post harvest rot ...
Efficacy of Some Botanicals in the Control of Fungi Causing post harvest rot ...Efficacy of Some Botanicals in the Control of Fungi Causing post harvest rot ...
Efficacy of Some Botanicals in the Control of Fungi Causing post harvest rot ...
 
SURVEY ON POTENTIALS AND CONSTRAINTS OF SHADE TREE SPECIES FOR ARABICA COFFEE...
SURVEY ON POTENTIALS AND CONSTRAINTS OF SHADE TREE SPECIES FOR ARABICA COFFEE...SURVEY ON POTENTIALS AND CONSTRAINTS OF SHADE TREE SPECIES FOR ARABICA COFFEE...
SURVEY ON POTENTIALS AND CONSTRAINTS OF SHADE TREE SPECIES FOR ARABICA COFFEE...
 
Variability and Association of Yield and Yield Component Traits of Durum Whea...
Variability and Association of Yield and Yield Component Traits of Durum Whea...Variability and Association of Yield and Yield Component Traits of Durum Whea...
Variability and Association of Yield and Yield Component Traits of Durum Whea...
 
Evaluation of Improved Cowpea (Vigna unguiculata L) Varieties for Adaptation ...
Evaluation of Improved Cowpea (Vigna unguiculata L) Varieties for Adaptation ...Evaluation of Improved Cowpea (Vigna unguiculata L) Varieties for Adaptation ...
Evaluation of Improved Cowpea (Vigna unguiculata L) Varieties for Adaptation ...
 
Correlation and Path Coefficient Analysis of some Coffee (Coffea arabica L.) ...
Correlation and Path Coefficient Analysis of some Coffee (Coffea arabica L.) ...Correlation and Path Coefficient Analysis of some Coffee (Coffea arabica L.) ...
Correlation and Path Coefficient Analysis of some Coffee (Coffea arabica L.) ...
 
Agronomic, Yield and Quality Performance Evaluation of Improved Vetch Varieti...
Agronomic, Yield and Quality Performance Evaluation of Improved Vetch Varieti...Agronomic, Yield and Quality Performance Evaluation of Improved Vetch Varieti...
Agronomic, Yield and Quality Performance Evaluation of Improved Vetch Varieti...
 
Maize breeding in east africa region presentation
Maize breeding in east africa region presentationMaize breeding in east africa region presentation
Maize breeding in east africa region presentation
 
bphil research study Sept 2012
bphil research study  Sept 2012bphil research study  Sept 2012
bphil research study Sept 2012
 
Review on Integrated Pest Management of Coffee Berry Disease and Coffee Berry...
Review on Integrated Pest Management of Coffee Berry Disease and Coffee Berry...Review on Integrated Pest Management of Coffee Berry Disease and Coffee Berry...
Review on Integrated Pest Management of Coffee Berry Disease and Coffee Berry...
 
Evaluation of Soya Bean Varieties at Moisture Stress of Eastern Harerghe Zone...
Evaluation of Soya Bean Varieties at Moisture Stress of Eastern Harerghe Zone...Evaluation of Soya Bean Varieties at Moisture Stress of Eastern Harerghe Zone...
Evaluation of Soya Bean Varieties at Moisture Stress of Eastern Harerghe Zone...
 

More from Premier Publishers

Evaluation of Agro-morphological Performances of Hybrid Varieties of Chili Pe...
Evaluation of Agro-morphological Performances of Hybrid Varieties of Chili Pe...Evaluation of Agro-morphological Performances of Hybrid Varieties of Chili Pe...
Evaluation of Agro-morphological Performances of Hybrid Varieties of Chili Pe...Premier Publishers
 
An Empirical Approach for the Variation in Capital Market Price Changes
An Empirical Approach for the Variation in Capital Market Price Changes An Empirical Approach for the Variation in Capital Market Price Changes
An Empirical Approach for the Variation in Capital Market Price Changes Premier Publishers
 
Influence of Nitrogen and Spacing on Growth and Yield of Chia (Salvia hispani...
Influence of Nitrogen and Spacing on Growth and Yield of Chia (Salvia hispani...Influence of Nitrogen and Spacing on Growth and Yield of Chia (Salvia hispani...
Influence of Nitrogen and Spacing on Growth and Yield of Chia (Salvia hispani...Premier Publishers
 
Enhancing Social Capital During the Pandemic: A Case of the Rural Women in Bu...
Enhancing Social Capital During the Pandemic: A Case of the Rural Women in Bu...Enhancing Social Capital During the Pandemic: A Case of the Rural Women in Bu...
Enhancing Social Capital During the Pandemic: A Case of the Rural Women in Bu...Premier Publishers
 
Impact of Provision of Litigation Supports through Forensic Investigations on...
Impact of Provision of Litigation Supports through Forensic Investigations on...Impact of Provision of Litigation Supports through Forensic Investigations on...
Impact of Provision of Litigation Supports through Forensic Investigations on...Premier Publishers
 
Improving the Efficiency of Ratio Estimators by Calibration Weightings
Improving the Efficiency of Ratio Estimators by Calibration WeightingsImproving the Efficiency of Ratio Estimators by Calibration Weightings
Improving the Efficiency of Ratio Estimators by Calibration WeightingsPremier Publishers
 
Urban Liveability in the Context of Sustainable Development: A Perspective fr...
Urban Liveability in the Context of Sustainable Development: A Perspective fr...Urban Liveability in the Context of Sustainable Development: A Perspective fr...
Urban Liveability in the Context of Sustainable Development: A Perspective fr...Premier Publishers
 
Transcript Level of Genes Involved in “Rebaudioside A” Biosynthesis Pathway u...
Transcript Level of Genes Involved in “Rebaudioside A” Biosynthesis Pathway u...Transcript Level of Genes Involved in “Rebaudioside A” Biosynthesis Pathway u...
Transcript Level of Genes Involved in “Rebaudioside A” Biosynthesis Pathway u...Premier Publishers
 
Multivariate Analysis of Tea (Camellia sinensis (L.) O. Kuntze) Clones on Mor...
Multivariate Analysis of Tea (Camellia sinensis (L.) O. Kuntze) Clones on Mor...Multivariate Analysis of Tea (Camellia sinensis (L.) O. Kuntze) Clones on Mor...
Multivariate Analysis of Tea (Camellia sinensis (L.) O. Kuntze) Clones on Mor...Premier Publishers
 
Causes, Consequences and Remedies of Juvenile Delinquency in the Context of S...
Causes, Consequences and Remedies of Juvenile Delinquency in the Context of S...Causes, Consequences and Remedies of Juvenile Delinquency in the Context of S...
Causes, Consequences and Remedies of Juvenile Delinquency in the Context of S...Premier Publishers
 
The Knowledge of and Attitude to and Beliefs about Causes and Treatments of M...
The Knowledge of and Attitude to and Beliefs about Causes and Treatments of M...The Knowledge of and Attitude to and Beliefs about Causes and Treatments of M...
The Knowledge of and Attitude to and Beliefs about Causes and Treatments of M...Premier Publishers
 
Effect of Phosphorus and Zinc on the Growth, Nodulation and Yield of Soybean ...
Effect of Phosphorus and Zinc on the Growth, Nodulation and Yield of Soybean ...Effect of Phosphorus and Zinc on the Growth, Nodulation and Yield of Soybean ...
Effect of Phosphorus and Zinc on the Growth, Nodulation and Yield of Soybean ...Premier Publishers
 
Influence of Harvest Stage on Yield and Yield Components of Orange Fleshed Sw...
Influence of Harvest Stage on Yield and Yield Components of Orange Fleshed Sw...Influence of Harvest Stage on Yield and Yield Components of Orange Fleshed Sw...
Influence of Harvest Stage on Yield and Yield Components of Orange Fleshed Sw...Premier Publishers
 
Performance evaluation of upland rice (Oryza sativa L.) and variability study...
Performance evaluation of upland rice (Oryza sativa L.) and variability study...Performance evaluation of upland rice (Oryza sativa L.) and variability study...
Performance evaluation of upland rice (Oryza sativa L.) and variability study...Premier Publishers
 
Response of Hot Pepper (Capsicum Annuum L.) to Deficit Irrigation in Bennatse...
Response of Hot Pepper (Capsicum Annuum L.) to Deficit Irrigation in Bennatse...Response of Hot Pepper (Capsicum Annuum L.) to Deficit Irrigation in Bennatse...
Response of Hot Pepper (Capsicum Annuum L.) to Deficit Irrigation in Bennatse...Premier Publishers
 
Harnessing the Power of Agricultural Waste: A Study of Sabo Market, Ikorodu, ...
Harnessing the Power of Agricultural Waste: A Study of Sabo Market, Ikorodu, ...Harnessing the Power of Agricultural Waste: A Study of Sabo Market, Ikorodu, ...
Harnessing the Power of Agricultural Waste: A Study of Sabo Market, Ikorodu, ...Premier Publishers
 
Influence of Conferences and Job Rotation on Job Productivity of Library Staf...
Influence of Conferences and Job Rotation on Job Productivity of Library Staf...Influence of Conferences and Job Rotation on Job Productivity of Library Staf...
Influence of Conferences and Job Rotation on Job Productivity of Library Staf...Premier Publishers
 
Scanning Electron Microscopic Structure and Composition of Urinary Calculi of...
Scanning Electron Microscopic Structure and Composition of Urinary Calculi of...Scanning Electron Microscopic Structure and Composition of Urinary Calculi of...
Scanning Electron Microscopic Structure and Composition of Urinary Calculi of...Premier Publishers
 
Gentrification and its Effects on Minority Communities – A Comparative Case S...
Gentrification and its Effects on Minority Communities – A Comparative Case S...Gentrification and its Effects on Minority Communities – A Comparative Case S...
Gentrification and its Effects on Minority Communities – A Comparative Case S...Premier Publishers
 
Oil and Fatty Acid Composition Analysis of Ethiopian Mustard (Brasicacarinata...
Oil and Fatty Acid Composition Analysis of Ethiopian Mustard (Brasicacarinata...Oil and Fatty Acid Composition Analysis of Ethiopian Mustard (Brasicacarinata...
Oil and Fatty Acid Composition Analysis of Ethiopian Mustard (Brasicacarinata...Premier Publishers
 

More from Premier Publishers (20)

Evaluation of Agro-morphological Performances of Hybrid Varieties of Chili Pe...
Evaluation of Agro-morphological Performances of Hybrid Varieties of Chili Pe...Evaluation of Agro-morphological Performances of Hybrid Varieties of Chili Pe...
Evaluation of Agro-morphological Performances of Hybrid Varieties of Chili Pe...
 
An Empirical Approach for the Variation in Capital Market Price Changes
An Empirical Approach for the Variation in Capital Market Price Changes An Empirical Approach for the Variation in Capital Market Price Changes
An Empirical Approach for the Variation in Capital Market Price Changes
 
Influence of Nitrogen and Spacing on Growth and Yield of Chia (Salvia hispani...
Influence of Nitrogen and Spacing on Growth and Yield of Chia (Salvia hispani...Influence of Nitrogen and Spacing on Growth and Yield of Chia (Salvia hispani...
Influence of Nitrogen and Spacing on Growth and Yield of Chia (Salvia hispani...
 
Enhancing Social Capital During the Pandemic: A Case of the Rural Women in Bu...
Enhancing Social Capital During the Pandemic: A Case of the Rural Women in Bu...Enhancing Social Capital During the Pandemic: A Case of the Rural Women in Bu...
Enhancing Social Capital During the Pandemic: A Case of the Rural Women in Bu...
 
Impact of Provision of Litigation Supports through Forensic Investigations on...
Impact of Provision of Litigation Supports through Forensic Investigations on...Impact of Provision of Litigation Supports through Forensic Investigations on...
Impact of Provision of Litigation Supports through Forensic Investigations on...
 
Improving the Efficiency of Ratio Estimators by Calibration Weightings
Improving the Efficiency of Ratio Estimators by Calibration WeightingsImproving the Efficiency of Ratio Estimators by Calibration Weightings
Improving the Efficiency of Ratio Estimators by Calibration Weightings
 
Urban Liveability in the Context of Sustainable Development: A Perspective fr...
Urban Liveability in the Context of Sustainable Development: A Perspective fr...Urban Liveability in the Context of Sustainable Development: A Perspective fr...
Urban Liveability in the Context of Sustainable Development: A Perspective fr...
 
Transcript Level of Genes Involved in “Rebaudioside A” Biosynthesis Pathway u...
Transcript Level of Genes Involved in “Rebaudioside A” Biosynthesis Pathway u...Transcript Level of Genes Involved in “Rebaudioside A” Biosynthesis Pathway u...
Transcript Level of Genes Involved in “Rebaudioside A” Biosynthesis Pathway u...
 
Multivariate Analysis of Tea (Camellia sinensis (L.) O. Kuntze) Clones on Mor...
Multivariate Analysis of Tea (Camellia sinensis (L.) O. Kuntze) Clones on Mor...Multivariate Analysis of Tea (Camellia sinensis (L.) O. Kuntze) Clones on Mor...
Multivariate Analysis of Tea (Camellia sinensis (L.) O. Kuntze) Clones on Mor...
 
Causes, Consequences and Remedies of Juvenile Delinquency in the Context of S...
Causes, Consequences and Remedies of Juvenile Delinquency in the Context of S...Causes, Consequences and Remedies of Juvenile Delinquency in the Context of S...
Causes, Consequences and Remedies of Juvenile Delinquency in the Context of S...
 
The Knowledge of and Attitude to and Beliefs about Causes and Treatments of M...
The Knowledge of and Attitude to and Beliefs about Causes and Treatments of M...The Knowledge of and Attitude to and Beliefs about Causes and Treatments of M...
The Knowledge of and Attitude to and Beliefs about Causes and Treatments of M...
 
Effect of Phosphorus and Zinc on the Growth, Nodulation and Yield of Soybean ...
Effect of Phosphorus and Zinc on the Growth, Nodulation and Yield of Soybean ...Effect of Phosphorus and Zinc on the Growth, Nodulation and Yield of Soybean ...
Effect of Phosphorus and Zinc on the Growth, Nodulation and Yield of Soybean ...
 
Influence of Harvest Stage on Yield and Yield Components of Orange Fleshed Sw...
Influence of Harvest Stage on Yield and Yield Components of Orange Fleshed Sw...Influence of Harvest Stage on Yield and Yield Components of Orange Fleshed Sw...
Influence of Harvest Stage on Yield and Yield Components of Orange Fleshed Sw...
 
Performance evaluation of upland rice (Oryza sativa L.) and variability study...
Performance evaluation of upland rice (Oryza sativa L.) and variability study...Performance evaluation of upland rice (Oryza sativa L.) and variability study...
Performance evaluation of upland rice (Oryza sativa L.) and variability study...
 
Response of Hot Pepper (Capsicum Annuum L.) to Deficit Irrigation in Bennatse...
Response of Hot Pepper (Capsicum Annuum L.) to Deficit Irrigation in Bennatse...Response of Hot Pepper (Capsicum Annuum L.) to Deficit Irrigation in Bennatse...
Response of Hot Pepper (Capsicum Annuum L.) to Deficit Irrigation in Bennatse...
 
Harnessing the Power of Agricultural Waste: A Study of Sabo Market, Ikorodu, ...
Harnessing the Power of Agricultural Waste: A Study of Sabo Market, Ikorodu, ...Harnessing the Power of Agricultural Waste: A Study of Sabo Market, Ikorodu, ...
Harnessing the Power of Agricultural Waste: A Study of Sabo Market, Ikorodu, ...
 
Influence of Conferences and Job Rotation on Job Productivity of Library Staf...
Influence of Conferences and Job Rotation on Job Productivity of Library Staf...Influence of Conferences and Job Rotation on Job Productivity of Library Staf...
Influence of Conferences and Job Rotation on Job Productivity of Library Staf...
 
Scanning Electron Microscopic Structure and Composition of Urinary Calculi of...
Scanning Electron Microscopic Structure and Composition of Urinary Calculi of...Scanning Electron Microscopic Structure and Composition of Urinary Calculi of...
Scanning Electron Microscopic Structure and Composition of Urinary Calculi of...
 
Gentrification and its Effects on Minority Communities – A Comparative Case S...
Gentrification and its Effects on Minority Communities – A Comparative Case S...Gentrification and its Effects on Minority Communities – A Comparative Case S...
Gentrification and its Effects on Minority Communities – A Comparative Case S...
 
Oil and Fatty Acid Composition Analysis of Ethiopian Mustard (Brasicacarinata...
Oil and Fatty Acid Composition Analysis of Ethiopian Mustard (Brasicacarinata...Oil and Fatty Acid Composition Analysis of Ethiopian Mustard (Brasicacarinata...
Oil and Fatty Acid Composition Analysis of Ethiopian Mustard (Brasicacarinata...
 

Recently uploaded

Web & Social Media Analytics Previous Year Question Paper.pdf
Web & Social Media Analytics Previous Year Question Paper.pdfWeb & Social Media Analytics Previous Year Question Paper.pdf
Web & Social Media Analytics Previous Year Question Paper.pdfJayanti Pande
 
Unit-IV; Professional Sales Representative (PSR).pptx
Unit-IV; Professional Sales Representative (PSR).pptxUnit-IV; Professional Sales Representative (PSR).pptx
Unit-IV; Professional Sales Representative (PSR).pptxVishalSingh1417
 
ICT Role in 21st Century Education & its Challenges.pptx
ICT Role in 21st Century Education & its Challenges.pptxICT Role in 21st Century Education & its Challenges.pptx
ICT Role in 21st Century Education & its Challenges.pptxAreebaZafar22
 
This PowerPoint helps students to consider the concept of infinity.
This PowerPoint helps students to consider the concept of infinity.This PowerPoint helps students to consider the concept of infinity.
This PowerPoint helps students to consider the concept of infinity.christianmathematics
 
Introduction to Nonprofit Accounting: The Basics
Introduction to Nonprofit Accounting: The BasicsIntroduction to Nonprofit Accounting: The Basics
Introduction to Nonprofit Accounting: The BasicsTechSoup
 
PROCESS RECORDING FORMAT.docx
PROCESS      RECORDING        FORMAT.docxPROCESS      RECORDING        FORMAT.docx
PROCESS RECORDING FORMAT.docxPoojaSen20
 
Seal of Good Local Governance (SGLG) 2024Final.pptx
Seal of Good Local Governance (SGLG) 2024Final.pptxSeal of Good Local Governance (SGLG) 2024Final.pptx
Seal of Good Local Governance (SGLG) 2024Final.pptxnegromaestrong
 
Food Chain and Food Web (Ecosystem) EVS, B. Pharmacy 1st Year, Sem-II
Food Chain and Food Web (Ecosystem) EVS, B. Pharmacy 1st Year, Sem-IIFood Chain and Food Web (Ecosystem) EVS, B. Pharmacy 1st Year, Sem-II
Food Chain and Food Web (Ecosystem) EVS, B. Pharmacy 1st Year, Sem-IIShubhangi Sonawane
 
microwave assisted reaction. General introduction
microwave assisted reaction. General introductionmicrowave assisted reaction. General introduction
microwave assisted reaction. General introductionMaksud Ahmed
 
ICT role in 21st century education and it's challenges.
ICT role in 21st century education and it's challenges.ICT role in 21st century education and it's challenges.
ICT role in 21st century education and it's challenges.MaryamAhmad92
 
The basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptxThe basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptxheathfieldcps1
 
Nutritional Needs Presentation - HLTH 104
Nutritional Needs Presentation - HLTH 104Nutritional Needs Presentation - HLTH 104
Nutritional Needs Presentation - HLTH 104misteraugie
 
Beyond the EU: DORA and NIS 2 Directive's Global Impact
Beyond the EU: DORA and NIS 2 Directive's Global ImpactBeyond the EU: DORA and NIS 2 Directive's Global Impact
Beyond the EU: DORA and NIS 2 Directive's Global ImpactPECB
 
Z Score,T Score, Percential Rank and Box Plot Graph
Z Score,T Score, Percential Rank and Box Plot GraphZ Score,T Score, Percential Rank and Box Plot Graph
Z Score,T Score, Percential Rank and Box Plot GraphThiyagu K
 
TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...
TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...
TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...Nguyen Thanh Tu Collection
 
Class 11th Physics NEET formula sheet pdf
Class 11th Physics NEET formula sheet pdfClass 11th Physics NEET formula sheet pdf
Class 11th Physics NEET formula sheet pdfAyushMahapatra5
 
Sociology 101 Demonstration of Learning Exhibit
Sociology 101 Demonstration of Learning ExhibitSociology 101 Demonstration of Learning Exhibit
Sociology 101 Demonstration of Learning Exhibitjbellavia9
 
1029-Danh muc Sach Giao Khoa khoi 6.pdf
1029-Danh muc Sach Giao Khoa khoi  6.pdf1029-Danh muc Sach Giao Khoa khoi  6.pdf
1029-Danh muc Sach Giao Khoa khoi 6.pdfQucHHunhnh
 
Measures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and ModeMeasures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and ModeThiyagu K
 

Recently uploaded (20)

Web & Social Media Analytics Previous Year Question Paper.pdf
Web & Social Media Analytics Previous Year Question Paper.pdfWeb & Social Media Analytics Previous Year Question Paper.pdf
Web & Social Media Analytics Previous Year Question Paper.pdf
 
Unit-IV; Professional Sales Representative (PSR).pptx
Unit-IV; Professional Sales Representative (PSR).pptxUnit-IV; Professional Sales Representative (PSR).pptx
Unit-IV; Professional Sales Representative (PSR).pptx
 
ICT Role in 21st Century Education & its Challenges.pptx
ICT Role in 21st Century Education & its Challenges.pptxICT Role in 21st Century Education & its Challenges.pptx
ICT Role in 21st Century Education & its Challenges.pptx
 
This PowerPoint helps students to consider the concept of infinity.
This PowerPoint helps students to consider the concept of infinity.This PowerPoint helps students to consider the concept of infinity.
This PowerPoint helps students to consider the concept of infinity.
 
Introduction to Nonprofit Accounting: The Basics
Introduction to Nonprofit Accounting: The BasicsIntroduction to Nonprofit Accounting: The Basics
Introduction to Nonprofit Accounting: The Basics
 
PROCESS RECORDING FORMAT.docx
PROCESS      RECORDING        FORMAT.docxPROCESS      RECORDING        FORMAT.docx
PROCESS RECORDING FORMAT.docx
 
Seal of Good Local Governance (SGLG) 2024Final.pptx
Seal of Good Local Governance (SGLG) 2024Final.pptxSeal of Good Local Governance (SGLG) 2024Final.pptx
Seal of Good Local Governance (SGLG) 2024Final.pptx
 
Food Chain and Food Web (Ecosystem) EVS, B. Pharmacy 1st Year, Sem-II
Food Chain and Food Web (Ecosystem) EVS, B. Pharmacy 1st Year, Sem-IIFood Chain and Food Web (Ecosystem) EVS, B. Pharmacy 1st Year, Sem-II
Food Chain and Food Web (Ecosystem) EVS, B. Pharmacy 1st Year, Sem-II
 
microwave assisted reaction. General introduction
microwave assisted reaction. General introductionmicrowave assisted reaction. General introduction
microwave assisted reaction. General introduction
 
ICT role in 21st century education and it's challenges.
ICT role in 21st century education and it's challenges.ICT role in 21st century education and it's challenges.
ICT role in 21st century education and it's challenges.
 
The basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptxThe basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptx
 
Nutritional Needs Presentation - HLTH 104
Nutritional Needs Presentation - HLTH 104Nutritional Needs Presentation - HLTH 104
Nutritional Needs Presentation - HLTH 104
 
Beyond the EU: DORA and NIS 2 Directive's Global Impact
Beyond the EU: DORA and NIS 2 Directive's Global ImpactBeyond the EU: DORA and NIS 2 Directive's Global Impact
Beyond the EU: DORA and NIS 2 Directive's Global Impact
 
Z Score,T Score, Percential Rank and Box Plot Graph
Z Score,T Score, Percential Rank and Box Plot GraphZ Score,T Score, Percential Rank and Box Plot Graph
Z Score,T Score, Percential Rank and Box Plot Graph
 
TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...
TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...
TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...
 
Class 11th Physics NEET formula sheet pdf
Class 11th Physics NEET formula sheet pdfClass 11th Physics NEET formula sheet pdf
Class 11th Physics NEET formula sheet pdf
 
Sociology 101 Demonstration of Learning Exhibit
Sociology 101 Demonstration of Learning ExhibitSociology 101 Demonstration of Learning Exhibit
Sociology 101 Demonstration of Learning Exhibit
 
1029-Danh muc Sach Giao Khoa khoi 6.pdf
1029-Danh muc Sach Giao Khoa khoi  6.pdf1029-Danh muc Sach Giao Khoa khoi  6.pdf
1029-Danh muc Sach Giao Khoa khoi 6.pdf
 
INDIA QUIZ 2024 RLAC DELHI UNIVERSITY.pptx
INDIA QUIZ 2024 RLAC DELHI UNIVERSITY.pptxINDIA QUIZ 2024 RLAC DELHI UNIVERSITY.pptx
INDIA QUIZ 2024 RLAC DELHI UNIVERSITY.pptx
 
Measures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and ModeMeasures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and Mode
 

Evaluation of Promising Coffee Wilt Disease (Gibberella xylarioides) Resistant Arabica Coffee (Coffea arabica L.) Genotypes in Ethiopia

  • 1. Evaluation of Promising Coffee Wilt Disease (Gibberella xylarioides) Resistant Arabica Coffee (Coffea arabica L.) Genotypes in Ethiopia IJPBCS Evaluation of Promising Coffee Wilt Disease (Gibberella xylarioides) Resistant Arabica Coffee (Coffea arabica L.) Genotypes in Ethiopia Admikew Getaneh Yigletu* Jimma Agricultural Research Center (JARC), Ethiopian Institute of Agricultural Research (EIAR), Ethiopia E-mail: adamget21@gmail.com Genetics studies of coffee wilt disease (CWD) and related traits provide valuable evidence in designing appropriate breeding programs and CWD resistant variety development. The use of CWD resistant varieties is the most cost-effective, economical and eco-friendly method for the management of the disease. It is also relevant to smallholder coffee producers or farmers. The study was conducted to evaluate and select promising CWD resistant genotypes, to estimate the genetics of traits and determine the correlation among traits. It was conducted in RCBD with three replications in17 coffee genotypes using artificial seedling inoculation test at the green house, Jimma Agricultural Research Center (JARC). The analysis of variance showed highly significant differences (p<0.01) among the genotypes for wilted seedling percentage, incubation period, number of defoliated leaves and all seedling growth characters (height, stem diameter, average inter node length, petiole length, leaf area, number of nodes and leaves). The overall mean performance showed that genotypes 279/71 and Feyate (971) recorded 6.84% and 8.60% wilted seedling percentage (resistant), respectively; followed by Odicha (974) and 79233. The wilted seedling percentage also showed high broad sense heritability coupled with high genetic advance as percent of the mean (GAM). The study is well done and identified promising CWD resistant genotypes, which should be further study on multi-location (field condition) and also evaluated for yield, other major diseases and important traits. Keywords: Arabica coffee, Heritability, Genetic advanceand Resistant INTRODUCTION The global coffee production depends only on two species, Coffea arabica and Coffea canephora (Labouisse et al., 2008). Southwestern Ethiopia is the primary center of origin and genetic diversity for Coffea arabica (Sylvian, 1955; Meyer, 1965; Anthony et al., 2001; Anthony et al. 2002). In 2018/19, world coffee production wasestimated as10,126.2million kg, with Arabica output, estimated at 6227.4 million kg, accounting for 61% and Robusta, estimated as3898.8 million kg, representing 39% of the total.In Africa coffee production was estimated about 1092.36 million kg. Ethiopia shared about 492.6 million kgand the first producer and exporter in Africa and 5th in the world (produce 5% of the world and 39 % of sub Saharan Africa) (ICO, 2019). Arabica coffee shares about 34% of the total exports and 43% of agricultural exports of the country (Rachel, 2019). Coffee farming alone provides a livelihood income for around 15 million Ethiopians (16% of the population), based on four million smallholder farms (Tefera, 2015).This showed that how much coffee is important for the Ethiopian economy. However, its production is low due to traditional coffee production systems; such as the use of local coffee genotypes, the widespread and prevalence of diseases, the presence of abiotic stress and poor agronomic practices (Girma et al., 2009a). Coffee berry disease (CBD), coffee wilt disease (CWD) and coffee leaf rust (CLR) are among the major important coffee diseases in Ethiopia. Coffee wilt disease (CWD) is induced by the fungal pathogen Fusarium xylarioides International Journal of Plant Breeding and Crop Science Vol. 7(3), pp. 885-893, October, 2020. © www.premierpublishers.org, ISSN: 2167-0449 Research Article
  • 2. Evaluation of Promising Coffee Wilt Disease (Gibberella xylarioides) Resistant Arabica Coffee (Coffea arabica L.) Genotypes in Ethiopia Admikew Y. 886 (Gibberella xylarioides). Its incidence and severity are 28% and 5%, respectively (CABI, 2003; Girma et al., 2009a). There are different techniques used to control CWD, such as uprooting and burning of infected coffee trees, prevention of tree wounding, use of protective fungicides in sealing wounds, use of disease free planting materials, disinfecting farm implement and use of biological control (Trichoderma species). Among which the use of resistant varieties is the most relevant to producers or farmers (Rutherford, 2006; Phiri and Baker, 2009; Girma et al., 2009a). Thus, study was conducted to evaluate and select promising CWD resistant Arabica coffee genotypes for the future varietal development, to understand the genetics of traits and the association of them with morphological traits under diseased condition. MATERIAL AND METHODS Description of the Study Area The study was conducted at Jimma Agricultural Research Center (in green house) in Jimma Zone of Oromia Regional State, Southwest Ethiopia. It is found 7o46’N latitude and 36o E longitude coordinate and at an elevation of 1753 meter above sea level. It is also located 358 kilometers away from Addis Ababa and 12 kilometer from Jimma town in the west direction. COFFEE GENOTYPES AND EXPERIMENTAL DESIGN Seventeen Arabica coffee genotypes were evaluated for four CWD parameters and seven seedling morphological characters (Table 1). The experiment was laid out using randomized complete block design (RCBD) with three replications. The growth medium of coffee seedlings was prepared from heat sterilized and moistened sandy soil. Forty Coffee seeds of each genotype were soaked separately in distilled sterile water for about 48 hours after removing the parchment (Girma and Mengistu, 2000). The seeds were sown in heat sterilized and moistened sandy soil in disinfected plastic pots (each pot has 5652 cm3) and can irrigated with sterile water every one day’s interval to maintain adequate moisture for seed germination, emergence and growth. After germination, the seedlings were thinned into twenty five per pot, out of these, 20 seedlings were used for artificial inoculation test and the remaining five seedlings were used as a control (non- inoculated). Five representative inoculated seedlings were selected from each pot and labeled yellow thread in order to measure growth characters. The seedlings per pot for each genotype were inoculated at the fully opened cotyledon stage (10 weeks old) with a viable conidial suspension of Gibberella xylarioides by the stem nicking technique (Pieters and Van der Graaff, 1980; Girma and Mengistu, 2000). Table1: Description of Arabica coffee genotypes used for the study Coffee genotypes Origin Breeding method Released/collection year Some characters description 75227 Gera, /Jimma Selection from local Landraces 1980/81 Open growth habit, good yielder, green tip leaf color, CBD resistant, susceptible to CWD (Demelash and Kifle., 2015) 971 Gelana Abaya/ Borena Selection from local landraces 2010 Resistant to CWD (Chala et al., 2012) 74110 Metu / Illubabor Selection from local landraces 1978/79 Resistant to CBD, susceptible to CWD, good yielder, compact growth habit, green tip leaf color (Demelash and Kifle., 2015) 8136 Gera/ Jimma Selection from local landraces 2006 High yielding potential with consistence bearing habits, resistant to CBD & CLR, vigorous with intermediate growth habit, stiff stem, manageable height, moderately resistant to CWD (Girma, 2004) 79233 Introduce from France International collection 1979 Green tip leaf color, CWD resistant under natural infested soil (PO under coffee germplasm conservation at Gera) 74144A Balle/ Oromia Under collection breeding program 1978/79 Moderately resistant to CWD under natural infested soil, susceptible to CBD, high quality, compact growth habit, broth leaf color (PO) 974 Gelana Abaya/ Borena Selection from local landraces 2010 Broth tip leaf color, compact growth habit resistant to CWD (Chala et al., 2012) 370 Seka-Chekorsa/ Jimma Selection from local landraces Resistant to CWD, broth tip leaf color, susceptible to CBD (Demelash, 2013)
  • 3. Evaluation of Promising Coffee Wilt Disease (Gibberella xylarioides) Resistant Arabica Coffee (Coffea arabica L.) Genotypes in Ethiopia Catimor J-19 Introduced from Portugal International collection 1998 Resistant to CWD (Girma, 2004) Catimor J-21 Introduced from Portugal International collection 1998 Resistant to CWD (Girma, 2004) 7440 Washi, Kaffa Selection from local landraces 1979/80 Moderately resistant to CWD (Girma, 2004) 279/71 Sokoru/Jimma Selection from local landraces 2013 CWD resistant, CBD susceptible (Demelash, 2013) B-64/04 Balle / Oromia Collection under breeding program 2004 CWD resistant (Kifle et al., 2015) B-70/04 Balle / Oromia Collection under breeding program 2004 CWD resistant (Kifle et al., 2015) 74144B Balle / Oromia Collection under breeding program 1978/79 Susceptible to CBD, compact growth habit (PO) Geisha* Introduced from India International collection 2002 Highly susceptible to CWD (Demelash, 2013) SN-5* Kaffa/ SNNPR Under collection breeding program Susceptible to CWD (Girma, 2004) *= susceptible check, PO= personal observation. Source: JARC / Coffee Breeding and Genetics division database for genotypes origin, breeding method and some characters description Data on wilted seedling percentage (at 6 months after inoculation, was calculated from the cumulative number of wilted over the total number of seedlings (wilted plus healthy) based on external symptoms), incubation periods (the time elapsed from inoculation of the pathogen up to symptoms expression of each genotype), number of defoliated and yellow leaves per seedling were collected for disease parameters. Furthermore, seedling growth characters such as stem height (cm), stem diameter (mm), numbers of stem nodes per seedling (NN), number of leaves per seedling, leaf petiole length (cm), average inter nodes length on the stem (AINL) and leaf area (cm2) were measure and computed per tree based on Walyero (1983). Growth characters were measured from4 months old seedling based on IPGR (1996) coffee descriptors. All data were subjected to analyses of variance (ANOVA) using SAS software version 9.3 (SAS, 2011). Fisher’s least significant different mean separation test was performed to identify and compare genotypes. The phenotypic, genotypic and environmental variances were estimated based on the method suggested by Singh and Chaudhury (1985). Broad sense heritability and genetic advance for CWD and seedling growth characters were also computed using the formula suggested by (Allard, 1999). The area under the disease progress curve (AUDPC) was also calculated to quantify the level of the rate reducing the resistance of genotypes based on Jeger and Viljanen-Rollinson (2001). RESULTS AND DISCUSSION Analysis of variance Analysis of variance mean squares of 17 genotypes for CWD and seedling growth characters are presented in Table 2. The analysis showed highly significant differences (p<0.01) among genotypes for all CWD characters and the variability for wilted seedling percentage (Figure 1). Furthermore, mean squares due to genotypes for all growth characters showed highly significant (p<0.01). Coffee genotypes reaction against CWD and seedling growth characters The mean performances of 17 coffee genotypes for 11 characters are given in Table 3. It was observed that wilted seedling percentage, number of yellow leaves per seedling, incubation period (IP) and seedling height ranged from 6.84 % to 94.74 %; 0.02 to 1.20; 71 to 155 days;and 7.91cm to 12.34 cm, respectively. Genotypes 279/71 and Catimor J-21 represented the maximum and minimum mean value of the traits; except for wilted seedling percentage and number of yellow leaves per seedling, which were in the reverse direction. Similarly, seedling stem diameter internodes length, number of nodes and number of leaves per seedling, petiole length, leaf area and defoliated leaves per seedling ranged from 1.84cm (Catimor J-19 ) to 2.27cm (7440) ,1.48 (Catimor J- 19 ) to 4.25cm (370), 1.20 and 4.80 (974) to 2.31 and 6.49 (74110), 0.35cm (79233) to 0.50cm (971), 6.41cm2 (Catimor J-19 ) to 11.87cm2 (279/71) and 0.00 (279/71) to 1.00 (74110), respectively. These data indicated that the presence of high genetic diversity between genotypes for the above measured characters (Van der Graaff and Pieters, 1978; Girma et al., 2009b; Chala et al., 2012; Demelash and Kifle, 2015; Bayetta, 2001; Olika et al., 2011). Genotype 279/71 was the uppermost genotype that observed desirable characters for most traits; such as for wilted seedling percentage (low CWD infection), incubation period, seedling height, seedling stem diameter, leaf area, the number of defoliate and yellow leaves per seedling. Genotypes 279/71 (6.84%) and 971 (8.60%) exhibited low wilted seedling percentage coupled with the longer incubation period, 155 days and 121 days,
  • 4. Evaluation of Promising Coffee Wilt Disease (Gibberella xylarioides) Resistant Arabica Coffee (Coffea arabica L.) Genotypes in Ethiopia Admikew Y. 888 respectively, followed by 974 and 79233 genotypes. Moreover, the AUDPC mean result showed significant variation and progression over time between genotypes (Figure 2). Low AUDPC mean was calculated for genotypes 279/71 and 971 similar to wilted seedling percentage. Most Arabica coffee genotypes leaves color were changed to yellow and then, either defoliated or stayed intact3 to 4 months after inoculation starting from older leaves to younger ones. That means the first true leaves became yellow; then, either dropped down or wilted without defoliating and progress to the next true leaves. At the end, the seedlings were dead completely. This indicated that genotypes with a greater extent of leaves changed to yellow and recorded the maximum amount of defoliated or wilted leaves showed relatively higher CWD infection and could be considered as susceptible to the disease. Table 2: The analysis of variance (ANOVA) of CWD and seedling growth characters mean squares for 17 Arabica coffee genotypes Characters mean square and p’ Sources DF WS (%) IP (days) AUDPC NDL (no.) NYL (no.) SH (cm) SSD (cm) AINL (cm) NN (no.) PL (cm) LA (cm2) NL (no.) Block 2 1000.98 (666.29) 456.37 5110325. 2 0.010 0.040 0.89 0.024 0.42 0.036 0.002 1.056 0.544 Genotyp es 16 2161.31** (1179.73**) 1290.27 ** 16205358 .7** 0.241 ** 0.255 ** 6.31** 0.039* * 1.83** 0.267* * 0.005* * 9.49** 0.766* * Error 32 103.11 (58.35) 157.77 784550.8 0.029 0.050 0.400 0.005 0.101 0.011 0.0005 0.967 0.125 *, ** = significant at 5% and 1% probability level, respectively, DF = degree of freedom, p’ = probability level, cm= cent meter, cm2= cent meter square, mm= mill meter, no. = number AINL= average inter node length, AUDPC = area under disease progress curve, IP = incubation period, LA= leaf area, NDL= number of defoliate leaves per seedling, NL= number of leaves per seedling, NN= nodes number, NYL= number of yellow leaves per seedling, PL= petiole length, SH= seedling height, SSD= seedling stem diameter, WS%= Wilted coffee seedlings percentage. Data in bracket is arcsine transformed value of wilted seedlings percentage In general, the mean analysis result of genotype 279/71 was the lowest wilted seedling percentage, minimum number of defoliate leaves and yellow leaves per seedling, longest incubation period, tallest height and widest leaf area compared to others. Therefore, it was promising genotype to CWD resistant and for most other important characters; followed by 974 and 79233. However, genotypes 279/71 and 971 were not significantly different for wilted seedling percentage. On the other hand, Catimor J-21 was susceptible to CWD and undesirable genotype for the characters mentioned above, followed by Catimor J-19, Geisha, 75227 and B-64/04. Therefore, the present study confirmed that 279/71, 971, 974 and 79233 genotypes revealed resistant to moderately resistant or tolerant to CWD and important to inclusion in future resistance breeding programs. Compared with inoculated seedlings non inoculated ones showed no any CWD symptoms or death on the same experimental pots. CWD resistant genotypes showed relatively and significantly longer incubation period, elongated height, wider leaf area and stem diameter than the susceptible genotypes. This result contributes to some insight for CWD resistant selection criteria. The incubation period result indicated that after the pathogen favor for penetration to the genotypes, the host (Arabica coffee genotype) struggle to protect themselves from a severe infection, even after the infection takes place. The host most likely defends themselves through either genetic, mechanical barrier or chemical release or a combination of these defense mechanisms before symptoms appearance on their parts. This statement also supported by Agrios (2005), some of the plant defense structures and substances exist before the plant comes into contact with the pathogen, but the most effective defense structures and substances are produced in response to attack by the pathogen. Similarly, wide stem diameter and leaf area possibly important for resistance. Because, the wider diameter can provide some amount of water from the root to the upper parts of the seedling and withstand translocation problems, even if there are clogging and hindrances of pathogens parts inside it. So, the seedlings accomplish their physiological activities and survive better than the thin diameter genotypes. In case of extensive leaf area also survive more due to the ability to photosynthesis efficiently and prepare their optimum food. As a result, stem diameter together with leaf area benefit the seedlings to become better survive since the relatively optimum amount of water translocation through the stem to the leaves parts to make photosynthesis and synthesized food move into stem and root to perform its physiological activities. The present result is in harmony with some previous scholars. According to Chala et al. (2012) varieties 971 and 974 showed low wilted seedling percentage and considered as CWD resistant genotypes. Demelash (2013) also reported 279/71 and 370 as CWD resistant genotype; but the current result showed that 370 genotypes infected about 58%, it is a contradictory result. Through continuous observation and follow up in the
  • 5. Evaluation of Promising Coffee Wilt Disease (Gibberella xylarioides) Resistant Arabica Coffee (Coffea arabica L.) Genotypes in Ethiopia Int. J. Plant Breed. Crop Sci. 889 germplasm conservation field, genotype 79233 did not manifest any tree death; even though all coffee genotypes were dead around it due to Gibberella xylarioides. Then, this genotype was included in the study to check their resistant level in the artificial inoculation test. Despite this, some number of wilted seedlings happened; it gave consistent resistant reaction and ranked the 4th resistant genotype compared to all tested or previously screened CWD resistant genotypes. However, the current results for Catimor J-21 and Catimor J-19 varieties were different from Girma (2004) report; he considered that these varieties showed CWD resistant reaction under seedling inoculation test and used as a resistant check in most CWD screening studies. The possible cause of the present result disagreement with previous works can be the type of isolate used, differences between technical experts to wound seedlings and put proper inoculum concentration on it, environmental (greenhouse) conditions and season or the combination of these factors during inoculation. Figure 1: Arabica coffee variability for CWD and growth characters using artificial inoculation test in the greenhouse; A) resistant genotype (279/71) B) susceptible genotypes (Geisha) C) variability of genotypes to CWD at similar condition
  • 6. Evaluation of Promising Coffee Wilt Disease (Gibberella xylarioides) Resistant Arabica Coffee (Coffea arabica L.) Genotypes in Ethiopia Admikew Y. 890 Table 3: Mean performance of 17 Arabica coffee genotypes for CWD and seedling growth characters Genotypes WS (%) IP (days) AUDP C NDL NYL SH (cm) SSD (cm) AINL (cm) NN PL (cm) LA (cm2) NL 75227 67.8 (56.0) 91.7 5042.5 0.20 0.60 11.2 2.10 3.99 1.81 0.47 10.7 5.31 971 8.6 (13.0) 121.0 275.1 0.49 0.53 12.3 2.20 2.80 1.96 0.50 11.2 5.82 74110 66.7 (54.8) 104.7 3080.0 1.00 0.42 10.3 2.03 2.42 2.31 0.45 8.4 6.49 8136 57.8 (49.6) 106.7 3289.4 0.27 0.24 11.4 2.09 2.97 1.91 0.46 10.1 5.60 79233 35.0 (36.2) 125.3 1061.7 0.18 0.11 10.8 2.06 2.32 2.16 0.35 7.1 6.18 74144A 45.6 (42.5) 98.7 3013.7 0.68 0.32 11.4 2.15 2.86 2.26 0.46 9.0 6.34 974 23.3 (27.8) 121.0 653.3 0.09 0.11 11.9 2.11 3.75 1.20 0.43 9.9 4.80 370 58.5 (50.2) 116.7 2991.6 0.14 0.16 12.2 1.98 4.25 1.33 0.48 11.8 4.98 Catimor J- 19 93.3 (81.1) 73.7 6517.2 0.47 0.63 8.1 1.84 1.48 2.05 0.39 6.4 6.04 Catimor J- 21 94.7 (82.2) 71.0 8114.5 0.52 1.20 7.9 1.92 1.59 2.03 0.38 6.7 6.01 7440 65.0 (54.4) 98.0 4328.3 0.89 0.18 11.9 2.27 2.98 2.13 0.48 11.4 5.95 279/71 6.8 (12.5) 155.0 192.8 0.00 0.02 12.3 2.18 3.39 2.00 0.43 11.9 6.00 B-64/04 79.6 (63.8) 104.7 4172.4 0.51 0.27 10.5 1.96 2.94 1.77 0.44 8.3 5.35 B-70/04 57.6 (49.4) 94.7 3110.1 0.15 0.29 10.1 2.08 3.04 1.94 0.44 10.2 5.38 74144B 66.7 (54.8) 99.3 3383.3 0.49 0.49 12.3 2.11 2.87 2.16 0.46 9.7 6.12 Geisha 89.5 (71.1) 78.0 7113.4 0.38 0.63 8.6 1.90 2.05 2.08 0.44 9.3 6.00 SN-5 41.1 (39.8) 112.3 1678.2 0.15 0.13 10.9 2.10 3.73 1.72 0.44 11.7 5.02 Mean 56.33(49.4) 104.26 3412.8 0.39 0.37 10.83 2.06 2.91 1.93 0.44 9.62 5.73 LSD (0.05) 16.89(12.7) 20.89 1473.1 0.28 0.37 1.05 0.11 0.53 0.18 0.04 1.64 0.59 CV (%) 18.02(15.46 ) 12.05 25.95 43.06 59.29 5.86 3.31 10.92 5.55 5.26 10.22 6.16 Data in bracket is arcsine transformed value of wilted seedlings percentage, cm= cent meter, cm2= cent meter square, mm= mill meter AINL= average inter node length, IP = incubation period, LA= leaf area, NDL= number of defoliate leaves per seedling, NL= number of leaves, NN= number of nodes, NYL= number of yellow leaves per seedling, PL= petiole length, SH= seedling height, SSD= seedling stem diameter, TWS%= Transformed value of Wilted seedlings percentage, WS%= Wilted coffee seedlings percentage
  • 7. Evaluation of Promising Coffee Wilt Disease (Gibberella xylarioides) Resistant Arabica Coffee (Coffea arabica L.) Genotypes in Ethiopia Int. J. Plant Breed. Crop Sci. 891 Figure 2: AUDPC on CWD severity in Arabica coffee genotypes Heritability According to Verma and Agarwal (1982), heritability values greater than 50% are considered as high, values less than 20% are low and between 20 to 50% as medium. Based on this, all characters resistance showed high broad sense heritability. The manifested of high broad sense heritability along with GAM showed for low wilted seedling percentage (CWD resistance), incubation period, seedling height, average inter node length, nodes number, leaf area, minimum number of defoliate leaves and yellow leaves. According to Allard (1999) and Acquaah (2012) heritability explanation, for these characters the observed variability mostly due to heredity (genetic). Based on Table 4, the genotypic variance is greater than the environmental variance for all traits. It indicates that the characters are controlled most importantly by genes even if environmental factors have their contribution. Therefore, the phenotypic value of the characters used as a guide to the breeding value (additive effect) and it aid to make selection easily. As Fehr (1987) described, the effectiveness of selection for a trait depends on the relative importance of genetic and non-genetic factors in the expression of phenotypic differences among genotypes in a population. Table 4: Estimation of variance components, heritability and GAM for CWD parameters and seedling growth characters Characters 𝛅 𝟐 p 𝛅 𝟐 g 𝛅 𝟐 e H2B GA GAM LWSP 720.44 686.07 34.37 95.23 52.65 93.48 Incubation period 430.09 377.50 52.59 87.77 37.50 35.97 MNDL 0.080 0.071 0.010 87.97 0.51 131.70 MNYL 0.085 0.068 0.017 80.39 0.48 130.49 Seedling height 2.102 1.97 0.133 93.66 2.80 25.83 Stem diameter 0.013 0.011 0.002 87.18 0.20 9.94 Average inter node length 0.610 0.576 0.034 94.48 1.52 52.24 Nodes number 0.089 0.085 0.004 95.88 0.59 30.53 Petiole length 0.0017 0.0015 0.0002 90.00 0.08 17.20 Leaf area 3.163 2.841 0.322 89.81 3.29 34.21 Leaves number 0.255 0.214 0.042 83.68 0.87 15.20 H2B= broad sense heritability, GA =genetic advance (5% of selection), GAM =genetic advance as percent of mean, 𝜹 𝟐 g= genetic variance, 𝜹 𝟐 p =phenotypic variance, LWSP =low wilted seedling percentage, MNDL = minimum number of defoliate leaves, MNYL = minimum number of yellow leaves
  • 8. Evaluation of Promising Coffee Wilt Disease (Gibberella xylarioides) Resistant Arabica Coffee (Coffea arabica L.) Genotypes in Ethiopia Admikew Y. 892 CONCLUSION Coffee wilt disease is a vascular disease caused by Gibberella xylarioides Heim and Saccas. It becomes an increasing importance in Arabica coffee production. Testing of different Arabica coffee genotypes provide valuable evidence in the development of CWD resistant variety (ies). The trail was conducted to identify promising resistant genotypes, to estimate heritability and genetic advance of CWD and growth traits.. Among the genotypes under the test 279/71 (6.84%) exhibited the lowest wilted seedling percentage, minimum number of defoliated leaves and yellow leaves per seedling, extended incubation period, tall in height and wide leaf area. So, it was considered as a promising genotype to CWD resistance followed by 971 (8.60%), 974 (23.33%) and 79233 (35.00%).These genotypes are important for inclusion in future resistance breeding programs. Furthermore, the estimation of high broad sense heritability coupled with GAM were observed for wilted seedling percentage, incubation period, average inter node length, leaf area and number of defoliated leaves per seedling; it could be improved easily through selection. It can be concluded that promising CWD resistant genotypes were identified which should be evaluated further for CWD, other major diseases, yield and important agronomic traits at multi-locations under open field conditions. REFERENCES Acquaah G (2012). Principles of plant genetics and breeding. John Wiley and Sons. 740p. Agrios GN (2005). Plant pathology.USA, Elsevier Academic Press. 922p. Allard RW (1999). Principles of plant breeding.New York, John Wiley and Sons. 254p. Anthony F, Bertrand B, Quiros O, Wilches A, Lashermes P, BerthaudJand Charrier A (2001). Genetic diversity of wild coffee (Coffea arabica L.) using molecular markers. Euphytica 118(1):53-65. Anthony F, Combes MC, Astorga C, Bertrand B, Graziosi Gand Lashermes P (2002). The origin of cultivated Coffea arabica L. varieties revealed by AFLP and SSR markers. Theoretical and Applied Genetics 104 (5):894- 900. Arega Z (2006). Diversity of Arabica coffee population in afro-mountain rainforests of Ethiopia in relation to coffee berry disease (Colletotrichum kahawae) and coffee wilt disease (Gibberella xylarioids). An MSC thesis submitted to the school of graduate studies of Addis Ababa University, Ethiopia. 92p. Bayetta B (1991). Nursery evaluation of heterosis and combining ability in reference to origin and morphology of parents in coffee (Coffea arabica L.). An MSC Thesis presented to the school of graduate studies of Alemaya University, Ethiopia. 128p. Bayetta B (2001). Arabica coffee breeding for yield and resistance to coffee berry disease (Colleototrichum kahawae sp. Nov). Doctoral dissertation submitted to the Wye University, London. 272p. CABI (2003). Surveys to assess the extent of coffee wilt disease in East and Central Africa: Final technical report. CABI Regional Center, Nairobi, Kenya. 49p. ChalaJ, Girma A, Demelash T, AregaZ, Sihen B, and Adem A (2012). Development and release of coffee berry disease resistant varieties to specialty coffee producing regions in Ethiopia: Proceedings of 24th international scientific colloquium on coffee (ASIC). Costa Rica, Jimma Agricultural Research Centre. pp. 637-644. Demelash T (2013). Evaluation of Arabica coffee (Coffea arabica L.) germplasm for major coffee disease with special emphasis to coffee wilt disease (Gibberella xylarioids) at Jimma, Ethiopia. An MSC Thesis presented to the school of graduate studies of Jimma University. Demelash T and Kifle B (2015). Evaluation of released Arabica coffee varieties (Coffea arabica L.) for major coffee diseases with special emphasis to coffee wilt disease (Gibberella xylarioides) at Jimma, Ethiopia. Journal of Biology, Agriculture and Healthcare5 (15):81-86. FAO (Food and Agriculture Organization) (2014). Analysis of price incentives for coffee in Ethiopiafor the time period 2005–2012: Technical notes series, MAFAP, by Kuma Worako T, MasAparisi A and Lanos B. Rome. Fehr WR (1987). Principles of cultivar development: theory and techniques. Macmillan Publishing Company, New York. 536p. Girma A. and Mengistu H (2000). Cultural characteristics and pathogenicity of Gibberella xylarioides isolates on coffee. Pest management Journal of Ethiopia, 4:11-18. Girma A (2004). Diversity in pathogenicity and genetics of Gibberella xyilarioides (Fusarium xylarioides) population and resistance of coffee spp. in Ethiopia. Doctoral Dissertation presented to University of Bonn, Germany. 81p. Girma A, Million A, Hindorf H, Arega Z, Demelash T and Chala J (2009a). Coffee wilt disease in Ethiopia. In. Flood J (eds.), Coffee wilt disease.UK, Manila and Philippines: Typeset by MTC. pp. 50-68. Girma A,Biyesse D and Musoli PC (2009b). Host - pathogen interaction in Coffea- Gibberella xylariodes patho-system. In. Flood J (eds.), Coffee wilt disease. UK, Manila and Philippines: Typeset by MTC.pp.120- 136. International Coffee Organization (2019). Coffee market report. http://www.ico.org/documents/cy2018-19/cmr- 0719-e.pdf
  • 9. Evaluation of Promising Coffee Wilt Disease (Gibberella xylarioides) Resistant Arabica Coffee (Coffea arabica L.) Genotypes in Ethiopia Int. J. Plant Breed. Crop Sci. 893 International Plant Genetic Resource Institute (1996). Descriptors for coffee (coffea spp. and psilanthus spp). International plant Genetic Resources Institute. Rome, Italy. 38p. Jeger MJ and Viljanen-Rollinson SLH (2001). The use of the area under the disease-progress curve (AUDPC) to assess quantitative disease resistance in crop cultivars. Theor. Appl. Genet. 102:32-40. Kassahun H and Getnet G (2008). Performance, structure and prospects of coffee marketing in Ethiopia. In. Girma A, Bayetta B, Tesfaye S, Taye K and EndaleT(eds.), Coffee Diversity and Knowledge: Proceedings of a national workshop four decades of coffee research and development in Ethiopia. Addis Ababa, Ethiopia. pp. 416–423. Kifle B, Demelash T and Gabisa G (2015). Screening of some coffee Arabica genotypes against coffee wilt diseases (Gibberella xylarioides Heim and Saccas). International Journal of Sustainable Agricultural Research 2(3): 66-76. Labouisse JP, Bellachew B, Kotecha S, Bertrand B (2008). Current status of coffee (Coffea arabica L.) genetic resources in Ethiopia: implications for conservation. Genetic Resources and Crop Evolution 55(7):1079. Meyer FG (1965). Notes on wild Coffea arabica from Southwestern Ethiopia, with some historical considerations, Economic Botany19:136–151. Olika K, Sentayehu A, Taye K and Weyessa G. (2011). Variability of quantitative traits in limmu coffee (Coffea arabica L.) in Ethiopia. International Journal of Agricultural Research 6(6):482-493. Phiri N and Baker P (2009). A synthesis of the work of the Regional Coffee Wilt Programme 2000–2007. Coffee Wilt Disease in Africa. Wallingford, United Kingdom. CABI. https://www.researchgate.net/publication/274389248 Pieters R and Van der Graaff NA (1980). Gebberrella xyilarioides on Arabica coffee: evaluation of testing methods and evidence for the horizontal nature of Resistance. Neth. J. Pl. Path. 86:37-43. Rachel Bickford (2019). Ethiopia: Coffee Annual Report. GAIN Report. USDA Foreign Agricultural Service (Number ET1904–5/29/2019). pp6. Rutherford MA (2006). Current knowledge of coffee wilt disease, a major constraint to coffee production in Africa. Symposium on Fusarium induced diseases of tropical perennial crops. Phytopathology 96: 663–666. Statistical analysis system (2011). SAS user’s guide (version 9.3). SAS Institute. USA, Cary, NC. Seyoum S (2003). Genetic divergence for seedling parameters and associations among agronomic traits in the Ethiopian coffee (Coffea arabica L.) germplasm. An MSc thesis submitted to the School of graduate studies of Alemaya University, Ethiopia. 91p. Singh RK and Chaudhary BD (1985). Biometrical methods in quantitative genetic analysis. New Delhi, Kalyani publishers. 318p. Sylvian PG (1955). Some observation on Coffea arabica L. in Ethiopian. Turrialba 5:37-53. Tefera A (2015). Ethiopia: Coffee Annual Report. GAIN Report (number ET1514–26/5/2015). USDA Foreign Agricultural Service. pp 6. Van der Graaff NA and Pieters R (1978). Resistance levels in Coffea arabica to Gibberella xylarioides and distribution pattern of the disease. Neth. J.Pl. Pathol. 84: 117-120. Verma PS and Agarwal VK (1982). Genetics. New Delhi, Ramnagar: Chad, S. and Co. Ltd. 580p. Viands DR (1985). Comparison of Maris Kabul with Vertus alfalfa for resistance to verticillium wilt. Crop Sci. 25:1096- 1100. Accepted 5 October 2020 Citation: Admikew Y (2020). Evaluation of Promising Coffee Wilt Disease (Gibberella xylarioides) Resistant Arabica Coffee (Coffea arabica L.) Genotypes in Ethiopia. International Journal of Plant Breeding and Crop Science, 7(3): 885-893. Copyright: © 2020: Admikew Y. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.