Abdullah Taner Kılınç1 and Nihal Kayan2*
1Transitional
Zone Agricultural Research Institute, Eskişehir, Turkey
2Department of Field Crops, Faculty of Agriculture, Eskisehir
Osmangazi University, 26480, Eskisehir, Turkey
*For correspondence: nkayan@ogu.edu.tr
Received 17
May 2022; Accepted 08 June 2022; Published 30 December 2022
Abstract
Fusarium wilt caused
by Fusarium
oxysporum f. spp. ciceris is a disease that causes significant yield loss in chickpea (Cicer
arietinum L.) worldwide. This study was aimed at investigating the effects
of some fungicides (triticonazole + pyraclostrobin, fluxapyroxad,
prothioconazole + tebuconazole) and three bioagents (Bacillus subtilis, Mesorhizobium ciceri and Serretia odorifera)
against fusarium wilt of
chickpea. Azkan and ILC482 cultivars were used in the experiment. Azkan is a
most common cultivar in Turkey. ILC482 is susceptible to fusarium wilt
disease.The experiment was conducted in a growth chamber. The seeds were
treated with fungicides and the bioagents, and planted in pots containing
pathogen-contaminated soil. The data about emergence rates, disease severity,
plant height, root length, root-stem fresh and dry weight and total biomass of
the plants were recorded. All of the investigated characters except for disease
severity were higher for fungicide applications. Disease severity was higher
pozitife control plots. But bioagents were quite effectively in controlling the
disease. Considering the harm caused by chemicals to the environment,
biological agents can be suggested fo fusarium wilt control in the chickpea
cultivation. © 2023 Friends Science Publishers
Keywords: Bacteria; Chemicals; Cicer arietinum;
Fusarium; Wilt
Introduction
Chickpea (Cicer arietinum L.) is the most produced edible legumes after dry
beans in the world and India is the most important producing country. Other
important chickpea growing countries are Australia, Turkey, Mexico, Argentina
and Myanmar. India alone meets 74% of the world’s chickpea production (Rawal
and Navarro 2019). It’s order is the first among edible legumes in Turkey. It
has a cultivation area of 511,560 ha and a production of 630,000 t (TUIK 2020).
The concept
of global climate change has been on the agenda in recent years. With this
fact, increasing population, decreasing water resources and irregular
precipitation regimes (floods, drought) have forced us to use resources the
most efficient and to get maximum and sustainable yield (Ceyhan et al.
2012; Kahraman et al. 2016). The
chickpea is the most suitable crops among grain legumes for these expected
conditions (Aldemir and Ceyhan 2015; Gökmen and Ceyhan 2015; Kafadar et al. 2019).
The most
important biotic stress agents affecting chickpea production are chickpea
anthracnose (Ascochyta rabiei) (Jabeen et al. 2011; Javaid et
al. 2020a), chickpea wilt (Fusarium
oxysporum f. spp. ciceris)
(Mohamed et al. 2015) and
chickpea leaf gallery fly Liriomyza
cicerina (Cikman and Civelek 2007). Chickpea wilt and root rot (Pythium ultimum)
are considered to be the most important diseases after chickpea anthracnose.
Bayraktar and Dolar (2009) reported F.
oxysporum, F. solani, F. equiseti, F. semitectum, F. acuminatum, Macrophomina
phaseolina and Rhizoctonia solani
are the pathogens that causing root rot and wilt in chickpea were. The pathogens can cause disease alone
or together. Among these pathogens, the most common and harmfull is F. oxysporum f. spp. ciceris. The pathogen can survive on
different hosts as well as in the soil for many years. The infections of the
disease in the plant is directly related to environmental factors such as the
genetic resistance of the host, the inoculum density, the age of the plant, the
race of the pathogen, temperature, humidity, and the availability of nutrients
(Haware et al. 1990). Wilting and
root rot caused by fusarium become more important especially in dry years. The
pathogen damages the root structure of the plant and clogs the vascular bundles
of the plant. For this reason, the plant lives water extraction problem from
the soil and consequently plant lives water deficiency problem and finally the
plant can be die.
It is very
difficult to control soil-borne diseases such as fusarium wilt. As cultural
control methods, it is recommended to use healthy seeds, avoid frequent
planting and excessive water, burning diseased plant residues and a 4‒5 year
rotation (Ozan and Maden 2004) There is no effective chemical control method
for fusarium wilt. Although it is recommended to control the disease by using
resistant varieties, there is not yet a registered chickpea variety in Turkey
as resistant to root rot and wilt (Yıldırım and Güldür 2019).
It is known
that many biological agents such as species of Trichoderma (Ali et al.
2020; Khan and Javid 2020; Khan et al. 2021), Penicillium (Javaid
et al. 2020b; Khan and Javaid 2022) and Aspergillus (Khan and
Javaid 2021), and plant growth promoting rhizobacteria (Sharf et al.
2021) are used to fight against plant diseases in the worldwide. Antagonist
microorganisms act on pathogens with different biocontrol mechanisms such as
antibiosis, competition, induced resistance, and hyperparasitism (Ozaktan et al. 2010). The possibility of using
such organisms as part of root rot and wilt control should be evaluated. This
study aimed to investigate the effects of different fungicides and biocontrol
bacterial species on fusarium wilt disease in chickpea cultivars under
Eskisehir climatic condition where typical continantal climate prevails.
Materials and Methods
Plant material
Azkan and ILC482 chickpea
cultivars were used as material. Azkan has been registered by the Transitional
Zone Agricultural Research Institute and ILC482 has been registered by the GAP
International Agricultural Research and Training Center. Azkan was included in
the study because it is the most common cultivar, suitable for machinery
harvest, in our country. ILC482 was used in the study because it was evaluated
as sensitive to fusarium wilt in different studies.
Pathogen
The pathogen was obtained from
the Transitional Zone Agricultural Research Institute. F. oxysporum f. spp. ciceris
isolated from diseased plant samples collected from Kütahya-Aslanapa. The
virulence of the pathogen was found to be high in conducted at the Transitional
Zone Agricultural Research Institute. Diagnosis of the pathogen was made by
classical and molecular methods.
Fungicides
Insure perform (F1): FS
(flowable concentrate for seed treatment) contains 80 grams of Triticonazole
and 40 g of Pyraclostrobin active substances per liter in the formulation Systiva (F2):
FS contains 333 g of Fluxapyroxad active substance per liter in the
formulation. Lamardor (F3): FS contains 150 g/L Prothioconazole + 20 g/L
Tebuconazole active ingredients per liter in the formulation.
Biological agents
Serretia odorifera (So): It is a bacterial strain isolated at the
Transitional Zone Agricultural Research Institute and determined to have high
phosphorus dissolving efficiency.
Bacillus subtilis (Bs): Biological fungicide containing 1.34% B. subtilis QST 713 strain (min. 1 x 109
cfu/mL) in suspension concentrate formulation. Mesorhizobium ciceri (Ms): Obtained from the Central Research
Institute of Soil, Fertilizer and Water Resources.
Development of Fusarium isolates, preparation of soil inoculum
F. oxysporum f. spp. ciceris isolate
was cultivated in sterile petri dishes containing PDA (Patato Dexrose Agar) and
grown in a sterile cabinet for 10 days at 25 ± 2°C in 12 h of light and 12 h of
darkness. The experiment was conducted with the soil inoculation method of Nene
and Haware (1980) (Bayraktar and Dolar 2009). For the inoculum, 810 g of sieved
sand and 90 g of chickpea flour were mixed into each of the heat-resistant oven
bags. The bags were moistened by adding 65 mL of distilled water, and
sterilized in an autoclave at 1.5 atm pressure, 121°C for 15 min. The
sterilization process was repeated one day later in the same way. The
sterilized sand-chickpea flour mixture was inoculated with 90 discs with a
diameter of 0.7 cm taken from fusarium isolates developed in a PDA medium for
10 days in a sterile cabinet. The inoculated mixture was developed for 14 days
in 12 h of light and 12 h of darkness, and in a climate room with a temperature
of 26 ± 2°C.
A mixture of
soil, sand, and burnt manure (1:1:1)(v:v:v) was prepared and moistened with
water. The mixture was put into oven bags weighing 4.25 kg. The prepared bags
were sterilized in an autoclave at 121°C and 1.5 atm pressure for 15 min, and
the same procedures were repeated one day later.
Pot experiment
Plastic pots with a diameter of
15 cm were used in the study. For the sterilization of the pots, the pots were
kept in containers filled with water containing 1% NaOCl for 1 day. Sterile
soil mixture and inoculum (10:1) (h:h) were mixed homogeneously into the
sterilized pots, and then 550 g soil mixture were put into each pot. It was
waited for 6 days for the fungus to cover the mixture. Negative control plots were prepared with 500 g soil
mixture, 45 g sand and 5 g chickpea flour.
The seeds to
be used in the experiment were kept in 1% NaOCl solution for 3 min for
sterilization. Afterthen, it was passed through sterile distilled water 6 times
and dried on a blotting paper. Since the fungicides used in seed spraying are
not licensed for chickpea, wheat was taken as a reference. It was used by
diluting at the recommended rates (0.5 mL kg-1 for Insure perform
and Lamardor fungicides, 1.5 mL kg-1 for Systiva fungicides) in
wheat seed spraying. The fungicides to be used in applications where two or
three different fungicides will be used were first diluted and then mixed in
equal proportions. The seeds were dried after being treated with fungicides. B. subtilis (3 mL kg-1) and M. ciceri (10 g kg-1) used in
the experiment were treated at the recommended rates. For S. odorifera, a solution containing 1 × 10⁶ bacteria per mL was prepared and the seeds were wetted
with a spray. In the double and triple mix, the seeds were first treated with S. odorifera, B. subtilis and finally
with M. ciceri. In bacterial
applications, the second application was made after the first application. The
third application was made after the first two applications drying. The
applications were made in a cool and shaded environment so that the bacteria
would not lose their vitality. It was sown immediately afterward.
Fungicide
applications: F1 (Triticonozole + Pyraclostrobin) ; F2 (Fluxapyroxad); F3
(Prothiconazole + Tebuconazole); F1 F2; F1 F3; F2 F3; F1 F2 F3. Bacteria
applications were: Bs (B. subtilis);
Mc (M. ciceri); So (S. odorifera); Bs Mc; Bs So; Rc So; Bs
Mc So. Control applications: (+) Control: There was dissease contamination in
the soil, there is no fungicide and bacteria in the seed. (-) Control: No
dissease contemination in the soil, no fungicide and bacteria in the seed.
The
experiments were laid out as a randomized plots designed in a factorial
arrangement with 3 replication. Seeds contaminated with fungicide and bacteria
were sown as 5 seeds per pot. While sowing different applications, different
gloves were used for each application. The pots were randomLy placed in the
growth chamber. It was grown at 26 ± 2°C in 12 h of light and 12 h of darkness.
Plants were irrigated when needed.
Observations
were started 10 days after sowing the seeds and evaluated 6 weeks later. To
take measurements on the plant, the chickpea plants were taken out of the pot
with the soil, their roots were washed with tap water, and then the
measurements were taken.
The emergence
rate was taken 10 days after the sown. After determining the root length and
plant height of each plant, root fresh weight and stem fresh weight were
determined 6 weeks later after sowing. Root dry weight and stem dry weight were
measured after two days of drying at 48°C. Total biomass was determined by
adding root and stem dry weights of all plants in each pot. Disease severity
was evaluated according to Trapero-Casas and Jimenez-Diaz (1985) 0‒4 scale, and
Townsend and Heuberger (1943) formula was applied to scale values in
calculating disease severity rates (%) (Table 1).
Data analysis
Logarithmic transformation was
applied to the emergence rate and disease severity data (Petersen 1994). Square
root transformation was applied to the data of plant height, root length, root
fresh weight, root dry weight, stem fresh weight, stem dry weight and total
biomass (Petersen 1994). The data were evaluated with the analysis of variance
in the randomized plots arranged factorial experimental design using the Jump 7
statistical software. When the differences between the applications were
determined using Tukey's multiple comparison test.
Results
Emergence rate
The differences between
cultivars and applications for emergence rate is statistically significant at
the level of 1%. The difference between cultivar × application interaction is
not statistically significant (Table 2). While the emergence rate of cv. Azkan
was 63.8%, it was 77.1% for ILC482. The highest emergence rate was found at
93.3% in F1 F2 application among the treatments. F1 and F1 F2 F3 treatments
followed this application with 90%. The lowest emergence rate was found in (+)
control treatment with 30% (Table 2).
Root length
The differences among the
treatments for root length was found to be statistically significant (P < 0.01). The difference between
cultivars and cultivar × application interaction is not statistically
significant (Table 2). The mean root length of cv. Azkan and cv. ILC482 were
10.6 and 11.3 cm, respectively. The maximum root length was measured in Bs Mc
application with 12.9 cm among the treatments. This was followed by the (-)
control application with 12.7 cm. The lowest root length was determined as 2.83
cm in the (+) control treatment (Table 2).
Plant height
The differences among the
treatments for plant height was found to be statistically significant (P < 0.01). The difference between
cultivars and cultivar × application interaction was not statistically
significant (Table 2). The mean plant height of cv. Azkan was 20.83 cm, and it
was 20.20 cm for cv. ILC482. The highest plant height was recorded as 23.97 cm
in the F1 F2 application. This result was followed by the F2 application with
23.67 cm. The lowest plant height of 8.61 cm was measured in the (+) control
treatment.
Root fresh weight
Table 1: Evaluation of disease symptoms
Disease Score |
Observed Symptoms |
0 |
No visible symptoms of disease |
1 |
Onset of wilting, discoloration of fine veins on lower
leaves |
2 |
Wilting, chlorosis and necrosis of half of the plant |
3 |
General wilting, drying of leaves, shedding and
dieback from tips |
4 |
Drying and death of half or most of the plant |
n: Scale Value v: Number of plants included in the scale, N: Highest
scale value, V: Total number of plants)
Table 2: Effects of different fungucides and bacterias on some
traits of chickpea cultivar
|
Emergence rate (%) |
Root lenght (cm) |
Plant height (cm) |
Root fresh weight (g/plant) |
Stem fresh weight (g/plant) |
Azkan |
63.8 b |
10.6 |
20.8 |
2.4 |
3.04 |
ILC482 |
77.1 a |
11.3 |
20.2 |
2.6 |
3.02 |
Mean |
70.45 |
11.00 |
20.50 |
2.50 |
3.03 |
Control (+) |
30.0 e |
2.8 b |
8.6 b |
0.39 c |
0.54 f |
Control (-) |
83.3 a-c |
12.7 a |
19.4 a |
2.45 ab |
2.44 c-e |
F1 |
90.0 ab |
12.0 a |
23.0 a |
3.14 ab |
3.92 ab |
F2 |
46.7 e |
11.3 a |
23.7 a |
2.61 ab |
3.14 b-d |
F3 |
63.3 a-d |
12.4 a |
23.4 a |
3.77 a |
4.59 a |
F1 F2 |
93.3 a |
12.2 a |
24.0 a |
3.44 ab |
3.89 ab |
F1 F3 |
80.0 a-c |
11.1 a |
20.1 a |
2.92 ab |
3.66 a-c |
F2 F3 |
73.3 a-d |
11.7 a |
20.6 a |
3.25 ab |
3.62 a-c |
F1 F2 F3 |
90.0 ab |
12.5 a |
20.3 a |
3.80 a |
3.59 a-c |
Bs |
63.3 a-d |
10.5 a |
20.3 a |
2.17 ab |
2.78 b-e |
Mc |
56.7 cd |
9.01 a |
20.1 a |
1.30 bc |
2.19 de |
So |
80.0 a-c |
9.82 a |
19.4 a |
1.50 bc |
1.76ef |
Bs Mc |
73.3 a-d |
12.9 a |
22.5 a |
2.10 ab |
2.76 b-e |
Bs So |
80.0 a-c |
12.1 a |
22.1 a |
2.60 ab |
2.88 b-e |
Mc So |
63.3 a-d |
11.0 a |
20.7 a |
2.63 ab |
3.38 a-d |
Bs Mc So |
60.0 b-d |
11.9 a |
23.0 a |
2.28 b |
3.36 a-d |
Mean |
70.45 |
11.00 |
20.50 |
2.50 |
3.03 |
General mean |
70.45 |
11.00 |
20.50 |
2.50 |
3.03 |
Cultivar |
** |
ns |
ns |
ns |
ns |
Application |
** |
** |
** |
** |
** |
Culti. x appl. |
ns |
ns |
ns |
ns |
** |
ns: non-significant, *: P ≤
0.05, **: P ≤ 0.01
The differences among the
treatments for root fresh weight was found to be statistically significant at
the 1% level. The difference between cultivars and cultivar × application
interaction was not statistically significant (Table 2). The mean root fresh
weight of cv. Azkan and cv. ILC482 were 2.42 and 2.62 g, respectively. The
highest root fresh weight was recorded in the F1 F2 F3 application with 3.80 g
and single application of F3 followed the this result with 3.77 g (Table 2).
Stem fresh weight
The differences among the
applications and the cultivar × application interaction is statistically
significant at the 1% level for stem fresh weight. The difference between
cultivars is not statistically significant (Table 2). While the stem fresh
weight of cv. Azkan was found as 3.04 g, it was found as 3.02 g for cv. ILC482.
The highest stem fresh weight was found in the F3 application with 4.59 g,
while the lowest stem fresh weight was found in the (+) control application
with 0.54 g (Table 2). The cultivars showed different response to treatments
with repect tos tem fresh weight, the highest stem fresh weight was recorded in
cv. Azkan (5.31 g) treated with F3 application (Fig. 1A). In both cultivars,
the lowest stem fresh weight were recorded in the (+) control application.
Root dry weight
The differences among cultivar ×
application interaction and applications was found to be statistically
significant at the 1% level for root dry weight. The difference between the
cultivars was not found to be statistically significant (Table 3). The mean
root dry weight of cv. Azkan and cv. ILC482 were recorded as 0.27 and 0.28 g,
respectively. While the highest root dry weight was found as 0.42 g in F3
treatment, the lowest root dry weight was found in the (+) control application
with 0.04 g (Table 3). The genotypes showed different response to treatments
with respect to root dry weight, the highest root dry weight with 0.45 g was
observed in cv. Azkan under F3 treatment (Fig. 1B). The lowest root dry weight
was recorded in (+) control application for the both cultivars.
Stem dry weight
The differences between
cultivars was statistically significant at the level of 5% while the difference
among applications and cultivar × application interaction was statistically
significant at the level of 1% for stem dry weight. The stem dry weight of cv.
Azkan was 0.91 g and it was 0.77 g for cv. ILC482. The highest mean stem dry
weight was observed in the F3 application with 1.21 g while the lowest stem dry
weight was observed in the (+) Table 3: Effects of different fungucides and bacterias on some traits of
chickpea cultivar
|
Root dry weight (g/plant) |
Stem dry weight (g/plant) |
Total biomas (g/plant) |
Disease severity (%) |
Azkan |
0.27 |
0.91 a |
3.67 |
62.0 |
ILC482 |
0.28 |
0.77 b |
3.57 |
61.8 |
Mean |
0.28 |
0.84 |
3.62 |
61.90 |
Control (+) |
0.04 d |
0.24 f |
0.50 j |
96.2 a |
Control (-) |
0.26 a-c |
0.61 b-e |
3.02 e-h |
39.6 g |
F1 |
0.34 a-c |
1.00 a-d |
5.58 a-c |
46.2 e-g |
F2 |
0.27 a-c |
1.11 ab |
3.92 c-f |
63.7 b-e |
F3 |
0.42 a |
1.21 a |
5.17 a-d |
56.8 b-f |
F1 F2 |
0.34 a-c |
1.04 a-c |
6.54 a |
37.6 h |
F1 F3 |
0.32 a-c |
1.07 a-c |
4.37 b-e |
54.8 d-f |
F2 F3 |
0.31 a-c |
0.93 a-e |
3.32 d-h |
73.6 a-d |
F1 F2 F3 |
0.38 ab |
1.00 a-d |
5.94 ab |
44.0 fg |
Bs |
0.28 a-c |
0.63 de |
2.49 hı |
72.7 a-d |
Mc |
0.21 bc |
0.58 c-e |
1.55 ı |
71.2 a-d |
So |
0.19 c |
0.50 e |
2.13 g-ı |
80.0 ab |
Bs Mc |
0.26 a-c |
0.88 a-e |
3.04 e-h |
62.2 b-e |
Bs So |
0.28 a-c |
0.86 a-e |
4.35 b-e |
62.0 b-e |
Mc So |
0.27 a-c |
0.91 a-e |
2.60 f-ı |
76.2 a-c |
Bs Mc So |
0.27 a-c |
0.87 a-e |
3.45 d-g |
54.3 c-f |
Mean |
0.28 |
0.84 |
3.62 |
61.90 |
General mean |
0.28 |
0.84 |
3.62 |
61.90 |
Cultivar |
ns |
* |
ns |
ns |
Application |
** |
** |
** |
** |
Culti. x applic. |
** |
** |
** |
** |
ns: non-significant, *: P ≤
0.05, **: P ≤ 0.01
Fig. 1: The interaction between cultivar and application on
stem fresh weight (A) and root dry
weight (B) of chickpea
control application with 0.24 g
(Table 3). The cultivars showed different response to treatments with respect
tos tem dry weight. While the highest stem dry weight was observed in cv. Azkan
in F3 applications, it was obserwed in cv. ILC482 in F1 F3 application (Fig.
2A). In both cultivars, the lowest stem dry weight was recorded in the (+)
control application.
Total biomass
The differences among cultivar ×
application interaction and applications was found to be statistically
significant at the 1% level for total biomass. The difference between cultivars
was not found to be statistically significant (Table 3). Total biomass of cv.
Azkan and cv. ILC482 were 3.67 and 357 g, respectively. The highest total
biomass was found in the F1 F2 application with 6.54 g, while the lowest total
biomass was found in the (+) control application with 0.50 g for the
applications (Table 3). The highest total biomass for the cultivar x
application interaction was seen in cv. Azkan in F1 F2 treatment with 8.01 g.
This application was followed by cv. Azkan in F1 F2 F3 application with 6.09 g.
The lowest total biomass of 0.35 g was observed in cv ILC482 in (+) control
application (Fig. 2B).
Disease severity
Fig. 2: The interaction between cultivar and application on
stem dry weight (A) and total biomas
(B) of chickpea
Fig. 3: The interaction between cultivar and application on
disease severity of chickpea
The differences among
applications and cultivar × application interaction for disease severity is
statistically significant at the 1% level. The difference between the cultivars
is not statistically significant (Table 3). While the mean disease severity was
found to be 62% in cv Azkan and 61.8% in cv. ILC482. The highest disease
severity was found in (+) control application with 96.2% while the lowest
disease severity was observed in the F1 F2 application with 37.6% (Table 3).
Althogh the highest disease severity recorden in (+) control treatment in both
cultivars, the cultivars showed different response to the other treatments.
Therefore, cultivar x application interactions was significant with respet to
disseae severity (Fig. 3).
Discussion
It was observed that the
emergence rates decreased with the effect of the pathogen. The cv. ILC482 has a
better emergence rate than that of the cv. Azkan. This can be explained by the high
germination rate of the cv. ILC482. The emergence rate of the cv. Azkan has
decreased due to the seed remaining in the soil for a longer time without
emergence and its contact with the pathogen increases.
F. oxysporum f. spp. ciceris is a soil-borne pathogen. Roots are contacted the pathogen
infected immediately and causes the first damage. Therefore, it is an expected
result to have a greater effect on the roots (Coninck et al. 2015). The lowest root length was determined in (+) control
applications. All fungicide and bacteria applications increased the root length
compared to the (+) control. According to the mechanism of action of bacteria
and fungicides, it can be said that they are effective aganist the pathogen
infection and development. Akhtar et al. (2010) reported that different
bacterias cause great increases in plant growth, pod number and nodulation.
They also pointed out that co-inoculation of bacteria reduced wilting in
diseased plants. It has been determined that some phosphate solvent microfungi
collected and isolated from Mazıdağı, Turkey, positively affect
the root length (Ozdemir 2014).
Bacterial and fungicide
applications affected plant height positively. Plant height was higher in
fungicide applications compared to bacterial applications. In a study conducted
with lentil plant in India, it was reported that some bacteria applications
increased plant growth, a number of pods and nodulation in lentils (Akhtar et al. 2010). Karimi et al. (2012) isolated three different
bacterial species from the chickpea rhizosphere in Iran. They reported that the
bacteria significantly increased the plant height and fresh and dry weight of
the plant compared to the control application. It has been determined that some
phosphorus dissolving microfungi isolated from the Mardin
Mazıdağı, Turkey, location increase plant height (Ozdemir 2014).
Ben Abdallah et al. (2019) stated
that B. subtilis and B. amyloliquefaciens plantarum increased plant height by
10.6%. As with the results obtained in the experiment, the bioagents used in
these studies increased the plant height. Therefore, it is possible to say that
different bacterial applications increase plant height and have the potential
to be used in chickpea cultivation.
Root fresh
weight is directly related to the health of the plant root. A healthy plant is
expected to have a strong root. F.
oxysporum primarily affects the root of the plant and then damages the
plant. Since the pathogen contamined in the root of the plant without any
obstacles, the most damage was seen, as a result of thisthe lowest roow fresh
weight was estimated in (+) control applications.. It can be said that
fungicides and bacteria are effective in protecting the root in our study. In a
study conducted on tomatoes, it was determined that two endophytic bacteria (B. subtilis and B. amyloliquefaciens plantarum)
increased the root fresh weight by 16.3% under field conditions (Abdallah et al. 2019). Ozdemir (2014) conducted
his study with phosphorus-dissolving microfungi, and Karimi et al. (2012) carried out their studies
with bacteria obtained from chickpea rhizosphere. Both researchers stated that
the bioagents increased the root fresh weight of the plant. Microorganisms with
PGPR properties regulated plant growth and competed with the pathogen to keep
the root healthier (Noumavu et al.
2016).
If the stem
of the plant is healthy, the root of the plant is expected to be healthy. Since
F. oxysporum causes wilting by
affecting the vascular systems of the plants, it is expected that the stem
fresh weights of the unhealthy plants will below. Karimi et al. (2012) conducted their studies with bacteria obtained from
the rhizosphere. They reported that some bacterial strains increased the stem
fresh weight as well as other growth parameters.
The high root
dry weight indicates that the plant has a healthy root structure. The means of
fungicide applications in both cultivars were higher than the means of bacteria
applications. Khan et al. (2014)
conducted their studies with Carbendazim and some Trichoderma species. They
stated that chemical and bioagents reduced the severity of wilt disease in
chickpeas and that bacteria applications were performed as well as fungicides.
Ozdemir (2014) worked with microfungi with the potential to dissolve
phosphorus. He reported that, in addition to other growth parameters, the dry
weight of corn and chickpea plants increased significantly.
In the study
examining the effect of bacteria on wilt disease in lentils, it was determined
that bacteria increased plant growth, a number of pods and nodulation (Akhtar et al. 2010). In the study conducted
with bacteria obtained from chickpea rhizosphere, it was stated that some
bacteria increased the dry weight of the plant as well as other parameters
(Karimi et al. 2012). Ozdemir (2014) reported that microfungi have
positive effects on the dry weight, fresh weight and plant height of the plant.
In the study
conducted with phosphorus-dissolving microfungi, it was determined that
phosphorus-dissolving fungi significantly increased some growth parameters such
as stem and root length, fresh and dry weight (Ozdemir 2014). In this study, it
was determined that phosphorus solvent bacteria increased plant height, root
length, root and stem weight and root and stem dry weight compared to positive
control application. However, S.
odorifera, B. subtilis, M. ciceri and B. subtilis+R. ciceri applications
did not increase the total biomass in cv. Azkan.
Both bacteria
and fungicides prevented the disease significantly compared to the (+) control.
It has been determined that the effectiveness of bacteria in the present study
are limited than fungicides. Bacterial applications decreased the disease
severity by 29% in cv. Azkan compared to (+) control, whereas chemical
fungicide applications decreased it by 43%. Bacterial applications decreased by
26% in cv. ILC482 compared to (+) control application, whereas chemical
fungicide applications decreased by 46%. Subhani et al. (2011) reported that some fungicides tried against F. oxysporum f. spp. ciceris were successful. While these
fungicides caused a decrease in wilted plants in greenhouse conditions, they
reduced mycelial formation in laboratory conditions. In another study, they
found that B. subtilis and T. harzianum isolates and their mixtures
reduced fusarium wilt disease by up to 40%. They stated that these bioagents
can be used in the fight against wilt disease (Moradi et al. 2012).
Conclusion
In the
results of all parameters examined in this study, generally better results were
obtained from fungicide applications than bacterial applications. The emergence
rate, plant height and total biomass were found to be higher in Insure perform
+ Systiva applications. However, stem fresh weight, root dry weight and stem
dry weight were found to be higher in Lamardor application. However, since some
fungicides can be harmful in the long run, it is not right to plan for high
yields only for the short term. Bacteria used as bioagents do not have such
problems. One of the environmental problems is the uncontrolled and excessive
use of pesticides. This problem causes soil pollution with chemicals. If
bacteria are used continuously, it can be assumed that the population of
beneficial bacteria will increase and the number of pathogens will decrease in
the coming years. For these reasons, biological agents can be recommended for
fusarium wilt control in chickpea cultivation.
Acknowledgements
We would like
to thank the directorate of the Transitional Zone Agricultural Research
Institute
Author Contributions
N.K. planned to experimental; A.T.K conducted the experiment and made
the analysis; N.K. and A.T.K. wrote the article. The article was summarized
from the M. Sc thesis of A.T. Kılınç.
Conflicts of Interest
All authors declare no conflict
of interest
Data Availability
Data presented in this study
will be available on a fair request to the corresponding author.
Ethics Approval
Not applicable in this paper
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