Environmental factors such as relative humidity and rainfall generally have been found to increase the incidence, rate of spread and severity of diseases thereby reducing yield of crops. Study was conducted on five cotton varieties, which were artificially inoculated with bacterial blight pathogen to determine the effects of rainfall and relative humidity on incidence and severity of angular leaf spot (ALS) and yield of seed cotton in Yola and Mubi. Results showed that the severity of ALS was higher in Yola (58.65%) at 13 WAS assumed to be due to higher relative humidity range of 76% - 87% and low rainfall of 2 - 40.6 mm. This is assumed to have favoured disease development as against that of Mubi location which recorded lower severity (51.11%) due to lower relative humidity (42% - 55%) and rainfall (37 - 73 mm). Results further revealed that at 13 WAS, SAMCOT-8 had low incidence (66%) and severity (39%) in Yola. This was against the much higher corresponding incidence and severity of 82% and 42% respectively that was observed in Mubi during the same period. SAMCOT-10 and SAMCOT-9 varieties were found to be highly susceptible to the disease at the same period. SAMCOT-8 recorded the highest yield of 390.00 kg?ha?1 in Yola and 868.09 kg?ha?1 in Mubi while the lowest yields of 227.17 kg?ha?1 was observed on SAMCOT-10 in Yola while 461.61 kg?ha?1 was obtained on SAMCOT-9 in Mubi. The variation in yield among these varieties might be due to the differences in their reactions to the disease. There is a need to conduct further trials in these locations to confirm the level of resistance or other aspects of these varieties to the disease.
Cotton (Gossypium spp.) is a valuable agricultural commodity which plays an important role in the economy of many developing countries by serving as a major foreign exchange earner and in domestic production of textile materials, oil, cake and edible oil [1]. It is cultivated in over 100 countries a total production of about 199 million bales of lint. China accounted for 27% of the world production figure followed by India and USA with 23% and 15% respectively [2]. In Nigeria, cotton is adopted to most ecological zones producing 1.48 million bales in 2010 [3]. However, the production potential of this valuable cash crop has been constrained by the prevalence of a number of fungal, bacterial and nematodes diseases which affect yield and fibre quality [4] [5]. The incidences and severities of these diseases are restricted by ecological and climatic differences in the crop environment [5]- [7]. Among the diseases which affect cotton, bacterial blight incited by Xanthomonas axonopodis pv. malvacearum is the most devastating disease in all cotton growing regions of the world and Nigeria in particular with an estimated yield loss of 10% - 20% in affected plants [8]. Yield losses of up to 10% - 50% have been recorded in other cotton growing regions [9] and such loses on annual basis are dependent on severity of epidemic, cotton species susceptibility and environmental factors [10] [11].
According to [9], high rainfall, relative humidity as well as warm temperature favour disease development which in turn affect yield. Free water is required for foliar infection and secondary spread is favoured by high humidity following periods of wind and rain which distribute the bacteria within the crop canopy. Provided the relative humidity is 85%, the optimum temperature for disease development is around 36˚C [12] [13]. Presently, there is a growing advocacy by the Nigerian government to boost agricultural productivity to achieve food and raw materials sufficiency in line with the vision 2020. Cotton is one of the major cash crops earmarked for increased production in all the cotton producing zones of the country with the aim of achieving the goals of the government for a sustainable cotton production to revamp our ailing textile industries and also for export.
This study is therefore conducted to ascertain the reaction of some cotton varieties to Xanthomonas axonopodis pv. malvacearum and the influence of environmental factors on incidence and severity of angular leaf spot.
2. Materials and Methods
This study was conducted in Yola and Mubi all in northeastern Nigeria during the 2011 cropping season. One of the field trials was conducted at the Teaching and Research Farm of the Department of Crop Protection, Modibbo Adama University of Technology, Yola. Yola is located between latitude 9˚11'N and 9˚19'N and longitude 13˚1'E and 12˚31'E [14]. The second field trial was conducted at the Teaching and Research Farm of Agricultural Technology Department, Federal Polytechnic Mubi. Mubi is located between latitude 10˚11'N and 9˚26'N and longitude13˚1'E and 13˚44'E [14].
The design used for conducting the experiments was Randomized Complete Block Design replicated three (3) times. The experimental fields measured 29 m × 11 m with plots measuring 5 m × 3 m, and alleys of 1 m pathway between plots and replicates. The five cotton varieties (SAMCOT-8, SAMCOT-9, SAMCOT-10, SAMCOT- 11 and SAMCOT-12) were obtained from the Institute of Agricultural Research (IAR), Samaru, Zaria.
The cotton seeds, before sowing were inoculated with infected crushed cotton plant leaves which served as initial inoculum and sown at a spacing of 90 cm × 45 cm with five plants per stand which was later thinned to two plants per stand at 3 weeks after sowing (WAS) (Idem, 1999). Diuron was applied immediately after sowing at the rate of 1 kg (150 ml in 20 litre sprayer) per hectare as a pre-emergence herbicide, while regular hand weeding was done to control weeds which emerge later [15]. Cypermethrin (Cymbush) and Imidacloprid (Courage®) application was carried out at the ratio of 20 ml: 40 ml of Smash and Courage respectively per 20 litre knapsack sprayer to control insect pests associated with cotton. Fertilizer containing nitrogen was applied at the rate of 60 kg∙ha−1, phosphorus in the form of P2O5 at the rate of 30 kg∙ha−1, and potassium in the form of K2O at the rate of 30 kg∙ha−1.
Isolated bacterial pathogens (108 cfu/ml) were suspended in distilled water and later sprayed under the leaf surfaces of the plants in the evening using a pressurized hand sprayer to increase the chances of infection by the pathogen.
Data were collected on incidences and severity of angular leaf spot from 7 - 13 WAS and yield (kg∙ha−1). Weather data were also collected from meteorological stations of two higher institutions in the study locations namely Modibbo Adama University of Technology, Yola and Adamawa State University, Mubi. Disease incidence was calculated using the formula;
While disease severity was calculated using a scale of 0 - 6 according to the method of [16] and the formula used was:
The data collected were analyzed using the Generalized Linear Model (GLM) procedure of Statistical Analysis System (SAS) appropriate for RCBD and means were separated using Duncan Multiple Range Test (DMRT).
3. Results
The results on the influence of relative humidity and rainfall on incidence of ALS revealed a gradual increase in the percentage incidence of the disease at 7 - 13 WAS at Yola (Table 1) and significant difference (P ≤ 0.05) among the varieties. At 7 WAS SAMCOT-8 recorded the lowest incidence of 14.00% while SAMCOT-9 had a higher value of 18.00%. At 13 WAS, results revealed higher significant (P ≤ 0.01) difference between varieties, with SAMCOT-8 still recording the lowest incidence of 66.66% while SAMCOT-10 recorded the highest incidence of 88.00%.
In Mubi location, results also revealed a gradual increase in the percentage incidence of the disease from 7 to 13 WAS (Table 2). It further showed that there was a significant difference (P ≤ 0.05) between the varieties at 7 - 11 WAS with SAMCOT-8 and 12 recording the lowest percentage incidence of 18.66% at 7 WAS while SAMCOT-9 had a percentage incidence of 24.66%. At 11 WAS, there was no statistical difference between the mean incidences. SAMCOT-8 had the lowest disease incidence and the rest of varieties statistically similar.
Similar trend were observed with regards to severity of angular leaf spot in Yola (Table 3). There was a highly significant (P ≤ 0.01) difference between varieties at 7 WAS and 13 WAS with SAMCOT-8 recording the lowest severity of 12.67% and 39% respectively. The highest severity at 7 WAS and 13 WAS was observed on SAMCOT-9 (16.98) and SAMCOT-10 (58.60%) respectively. In Mubi, result revealed highly significant (P ≤ 0.01) variation from 8 - 13 WAS (Table 4) the lowest severity of 15% - 80% was observed on SAMCOT- 10 while SAMCOT-12 had the highest severity of 25% - 35% at 8 WAS. At 13 WAS, SAMCOT-8 recorded the lowest severity of 40.32%, while the rest are statistically similar.
The results on influence of rainfall and relative humidity on incidence and severity of angular leaf spot 7 - 13 WAS, revealed a gradual increase in the percentage incidence and severity of the disease with increase in relative humidity and amount of rainfall in both locations (Table 5).
Results for yield of seed cotton (Table 6) indicated highly significant (P ≤ 0.01) differences in both locations between the varieties. In Yola, it was observed that SAMCOT-8 had the highest mean value of 390.00 kg∙ha−1, while lower value of 227.17 kg∙ha−1 was observed on SAMCOT-10. In Mubi location, similar trend was observed with SAMCOT-8 recording a much higher yield value of 868.09 kg∙ha−1, while SAMCOT-9 had the lowest weight of 461.61 kg∙ha−1.
4. Discussion
Disease severity is an important factor in determining the performance and yield of crops as high disease severity
Mean effect of relative humidity and rainfall on incidence of Angular leaf spot at 7 - 13 WAS at Yola
Variety
Weeks after sowing (WAS)
7
8
9
10
11
12
13
SAMCOT-8
14.00b
21.33d
30.00b
36.66c
43.33d
50.66d
66.66c
SAMCOT-9
18.00a
29.33a
36.66a
44.00b
57.33ab
74.00b
84.66a
SAMCOT-10
17.33ab
25.33bc
39.33a
49.33a
60.66a
79.33a
88.00a
SAMCOT-11
16.66ab
26.66ab
36.00a
46.00b
56.66b
70.00b
83.33a
SAMCOT-12
15.33ab
23.33cd
32.00b
39.33c
48.66c
58.66c
76.66b
Probability of F
0.1716
0.0002
0.0002
<0.0001
<0.0001
<0.0001
<0.0001
Column means with the same letter(s) are not significantly different according to DMRT.
Mean effect of relative humidity and rainfall on incidence of Angular leaf spot at 7 - 13 WAS at Mubi
Variety
Weeks after sowing (WAS)
7
8
9
10
11
12
13
SAMCOT-8
18.66c
25.33b
30.66b
36.66b
63.33bc
72.00c
82.66c
SAMCOT-9
24.66a
29.33a
36.00a
44.00a
68.66a
80.00c
86.00c
SAMCOT-10
21.33b
29.33a
37.33a
45.33a
68.00a
81.33c
86.00c
SAMCOT-11
22.00b
27.33ab
36.00a
42.66a
63.33ab
79.33c
84.00c
SAMCOT-12
18.66c
28.00ab
36.00a
44.00a
59.33bc
74.66c
82.66c
Probability of F
0.0001
0.1733
0.0153
0.0009
0.0058
0.0015
0.6314
Column means with the same letter(s) are not significantly different according to DMRT.
Mean effect of relative humidity and rainfall on severity of Angular leaf spot at 7 - 13 WAS at Yola
Variety
Weeks after sowing (WAS)
7
8
9
10
11
12
13
SAMCOT-8
12.67b
17.64d
21.65d
28.23b
31.14c
35..347c
39.08d
SAMCOT-9
16.98a
23.92a
32.32a
37.94a
44.34a
50.72b
55.28b
SAMCOT-10
16.94a
24.16ab
30.38ab
39.19a
46.27a
52.74a
58.15a
SAMCOT-11
15.68b
20.87bc
29.72bc
36.88a
44.16a
49.88b
56.26b
SAMCOT-12
15.22b
20.72cd
27.97cd
33.64b
35.40b
38.80c
40.45c
Probability of F
<0.0001
0.0028
<0.0001
<0.0001
<0.0001
<0.0001
<0.0001
Column means with the same letter(s) are not significantly different according to DMRT.
Mean effect of relative humidity and rainfall on severity of Angular leaf spot at 7 - 13 WAS at Mubi
Variety
Weeks after sowing (WAS)
7
8
9
10
11
12
13
SAMCOT-8
13.36a
15.80cd
18.72b
24.57d
32.52c
36.61c
40.32c
SAMCOT-9
14.10a
25.30a
29.79a
40.24a
46.14a
50.54a
53.62a
SAMCOT-10
12.72a
23.64ab
28.73a
36.08b
42.84b
49.3a
52.80a
SAMCOT-11
13.25a
22.91bc
28.73a
36.26b
44.82ab
49.31a
51.98ab
SAMCOT-12
14.20a
20.52d
24.56b
30.16c
32.14c
38.13ba
40..45b
Probability of F
0.3415
<0.0001
<0.0001
<0.0001
<0.0001
<0.0001
<0.0001
Column means with the same letter(s) are not significantly different according to DMRT.
The relative humidity and rainfall data of Yola and Mubi during the 2011 cropping season
WAS
Yola
Mubi
R/H (%)
Rainfall (mm)
R/H (%)
Rainfall (mm)
7
87
4.4
47
73.5
8
76
14.3
55
67
9
82
40.5
42
42
10
86
10.4
44
37
11
86
23
46
46
12
77
2
48
48
13
83
19
45
59
Source: Department of Geography Meteorological Station, ModibboAdama University of Technology, Yolaand Department of Meteorological Services, Adamawa State University, Mubi (2011).
Mean effects of varieties and plant extracts on yield (kg∙ha−1) of seed cotton inYola and Mubi
Variety
Yield (kg∙ha−1)
Yola
Mubi
SAMCOT-8
390.00a
868.9a
SAMCOT-9
291.00c
461.61bc
SAMCOT-10
227.17d
470.08d
SAMCOT-11
255.55d
523.44d
SAMCOT-12
341.66b
559.11b
Probability of F
<0.0001
<0.0001
Column means with the same letter(s) are not significantly different according to DMRT.
favoured by influence of relative humidity and rainfall has been found to affect photosynthesis which in turn ensures reduction of assimilates for the plant [17]. In this study, results obtained revealed a significant variation in varietal resistance and susceptibility of cotton to Xanthomonas axonopodis pv. malvacearum at 7 - 13 WAS. SAMCOT-8 and SAMCOT-12 varieties were consistently observed to record the lowest incidence, severity and high yield of seed cotton in both locations, while high disease susceptibility were observed on SAMCOT-10 in Yola and SAMCOT-9 in Mubi at the same period.
The difference in percentage incidence and severity of ALS amongst cotton varieties may be attributed to their levels of resistance to the pathogen in association with environmental factors prevailing during period of plant growth since all varieties were exposed to the same quantity of inoculum. The higher percentage susceptibility observed on SAMCOT-9, SAMCOT-10 and SAMCOT-11 may be attributed to low levels of resistance inherent in the plants. This agrees with the report by [16] who assessed the susceptibility of SAMCOT-11 and SAMCOT-13 and recorded high incidence and severity of ALS which may be related to their inherent genetic makeup to be susceptible to the disease [18] [19], and influence of rainfall and relative humidity as these varieties especially SAMCOT-8 is bred to adapt to the environments of eastern cotton growing zone of Nigeria [5]. [16] had earlier reported on the continual loss of resistance to bacterial blight by Nigerian cotton varieties including SAMCOT-8, however, results obtained from this study had proved the contrary as this variety was found to perform better.
The increase in incidence and severity of this disease followed the pattern of the percentage relative humidity and rainfall in the respective locations. In Yola, for instance, there was a high relative humidity ranging from 76% - 87% with an irregular rainfall distribution, however, the combination of these weather elements most likely has influenced high incidence and severity of the disease. This finding agrees with [20] who reported on positive correlation between environmental conditions and disease severity in India. They further reported that maximum disease severity was observed at temperature of 26˚C - 27˚C, 100 - 147 mm rainfall and 67% - 77% relative humidity. [21] also reported that environmental conditions of relative humidity, rainfall and temperature had influenced the incidence and severity of Cercospora leaf spot on some cowpea varieties in Yola.
In contrast, Mubi location was characterized by low but uniform relative humidity (42% - 55%) and rainfall (34 - 74 mm). The combination of these factors might have proved unfavourable for severe foliar infection but favoured good and vigorous plant growth and subsequently high yield. These observations agree with [22] who reported that vigorous growing leaves rarely became infected by a pathogen. Yields of seed cotton was higher in Mubi due to favourable weather conditions which ensured good crop growth and restricted the spread of the disease as compared to those obtained in Yola location. [9] reported that yield loses of up to 10% - 50% have been reported in some cotton growing regions of the world due to severe infection by the Bacterial blight pathogen.
[23] had earlier reported on the significant increase in severity of this disease with time as influenced by rainfall and relative humidity in Kem, also in Adamawa State. [24] further reported that the principal factors influencing Xanthomonas axonopodis pv. malvacearum incidence and severity in cotton were rainfall, relative humidity, temperature, solar radiation, quantity of the inoculum and the resistant gene in the genotypes. They further reported that disease incidence increased by 3.4% for each degree rise in average mean temperature, 12% increase when inoculum was increased from 106 to 107 cfu/ml, 1% increase in relative humidity and 3.7% increase in temperature for each degree increase. Results recorded in both locations appear to show a sort of relationship among disease severity, yields and weather elements.
Results from these studies have revealed a relationship between the incidence and severity of ALS and weather elements in the two locations. Rainfall and relative humidity favoured the expression of the pathogen which was variable on the different varieties. In conclusion, yields obtained from Mubi were higher than those recorded in Yola where the high relative humidity and rainfall favoured high severity and low yields amongst the varieties. Varieties such as SAMCOT-8 and SAMCOT-12 were found to be resistant to the disease and recorded higher yields in both locations. Therefore, more trials need to be conducted on these and other cotton varieties to ascertain their level of resistance to Xanthomonas axonopodis pv. malvacearum in these two and other locations.
Cite this paper
N. Z. Tuti,H. Nahunnaro,K. Ayuba, (2015) Effect of Some Environmental Factors on Incidence and Severity of Angular Leaf Spot of Cotton in Yola and Mubi, Adamawa State, Nigeria. World Journal of Engineering and Technology,03,19-25. doi: 10.4236/wjet.2015.33B004
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