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Title :
Influence of Climatic Changes on the Abundance of Major Insect Pests of
Sugarcane
Presented by
M. Abdullah
Bangladesh Sugarcane Research Institute
Ishurdi, Pabna, Bangladesh
INTRODUCTION
Agriculture is strongly interrelated with climatic factors. Temperature, which is one of the main factors of climate, is closely associated with agricultural production. Global warming is the increase in the average temperature of the Earth’s atmosphere and oceans that has been observed in recent decades.
The tropical and subtropical countries are more vulnerable to the potential impact of global warming through the effects on crops,soils, insects, weeds, and diseases.
Bangladesh is in the subtropical region. Therefore, the agriculture of this country may be affected.
Climate change may lead to an increase in world hunger unless population growth rates in developing nations are much smaller than currently projected, and farmers obtain adequate assistance.
It is expected that due to climate change, humidity, wind flow, and temperature in Bangladesh may be changed. These three climatic mechanisms, in changing conditions, cause an increase in insect pests, diseases and microorganisms in agriculture, and accordingly, crop production may be decreased.
These changes may increase the frequency and intensity of extreme weather events, such as tropical cyclones or floods.
Temperature has been considered as the most dominant factor of environment, influencing the development, survival, feeding, fecundity, dispersal, distribution and abundance of insects. Insects generally grow rapidly in warmer conditions.
It seems obvious that any significant change in climate on a global scale influence local agriculture, and therefore, affect the world's food supply.
So far about 70 species of insect pests have been identified in Bangladesh of which the most damaging are top shoot borer, stem borer and rootstock borer.
Among various factors, insect pests inflict considerable losses which are estimated to be around 20% in cane yield and 15% in sugar recovery (Avasthy, 1983).
►10% infestation by top shoot borer caused 12.29% yield loss and 80% infestation caused 35.01% yield loss (Alam et al.,2006).
► 10% infestation by stem borer caused 12.01% yield loss and 80% infestation caused 27.81% yield loss (Alam et al., 2006).
► 10% infestation by rootstock borer caused 10.44% yield loss and 60% infestation caused 27.76% yield loss (Alam et al., 2006).
► Stem borer caused 28.73% yield loss and 15.93% recovery loss (Abdullah et al., 2006)
Gupta (1956) reported that low maximum temperature is generally
considered favourable for build-up of top shoot borer. Gupta (1959)
has deduced it to be below 37.80C. The optimum relative humidity
for borer activity varies 60-80% (Singh, et al., 1957; Gupta, 1959).
High rainfall is also regarded as a contributory factor for profuse
multiplication of the borer (Gupta, 1959).
Rainfall appears to favour stem borer multiplication. However, under
drought conditions, profuse egg laying take place in July. High
atmospheric humidity during August also favour rapid build-up of the
borer (Gupta and Avasthy, 1957). The incidence of the pest is
significantly high in heavy soils and under water logged and flooded
conditions (Khanna et al., 1957).
The root borer has been observed to be active at high temperature
and moderate humidity levels and appears to be tolerant to rain to
an extent of 45cm after which its population declines (Gupta, 1953).
Root borer incidence and population are generally high in unirrigated
fields and in sand or sandy loam soils (Gupta and Avasthy, 1952).
Therefore, an investigation was made to observe the effect of
climatic factors on the abundance of major insect pests in
sugarcane.
MATERIALS AND METHODS
The investigation was made at Bangladesh Sugarcane Research Institute (BSRI), Ishurdi from 1980 to 2007. Planted sugarcane varieties/clones were subjected to natural infestation. No pest control measure was applied.
Data on the incidence of top shoot borer (Scirpophaga excerptalisWalker), stem borer (Chilo tumidicostalis Hampson) and rootstock borer (Emmalocera depressella Swinhoe) were taken from March to October. The percentage of infestation was calculated by counting the total and infested canes. Data on climatic factors viz., maximum temperature, minimum temperature, relative humidity (%) and rainfall were recorded by biometry section of the institute. Correlations of climatic factors with borer infestation were calculated.
Growth rate of temperature and pest infestation is calculated by using Discrete formula:Growth Rate r : ((A/P)1/t -1), where P= Value of the variable at beginning of period, A= Value of the variable at end of period, t= Number of periods including first and last.Growth rate is also calculated using Microsoft Excel: ((((A/P)^(1/t))*100
0
20
40
60
80
100
1980
1983
1986
1989
1992
1995
1998
2001
2004
2007
Year
TS
B in
fest
atio
n (%
)
Figure 1 Top shoot borer infestation in different years
88.66% 86.20%
13.26%
37.00%
58.24%
16.53%
30.23%
46.33%
0102030405060708090
1980
1983
1986
1989
1992
1995
1998
2001
2004
2007
Year
SB
infe
stat
ion
(%)
Figure 2 Stem borer infestation in different years
84.0%
26.99%
40.09%
29.30%33.18%
10.40% 7.30%
20.77%
0
10
20
30
40
50
1980
1983
1986
1989
1992
1995
1998
2001
2004
2007
Year
RS
B in
fest
atio
n (%
)
Figure 3 Rootstock borer infestation in different years
19.62%
27.42%
12.57%
10.03
4.12%
29.98%
44.57%
March
0.00
5.00
10.00
15.00
20.00
25.00
30.00
35.00
40.00
1980
1983
1986
1989
1992
1995
1998
2001
2004
2007
year
Tem
pera
ture
(˚c)
max.
min.
Figure 4 Average maximum and minimum temperature in March (28 years)
35.190C
29.400C
20.900C
16.150C
April
0.005.00
10.0015.0020.0025.0030.0035.0040.0045.00
1980
1983
1986
1989
1992
1995
1998
2001
2004
2007
year
Tem
pera
ture
(˚c)
max.
min.
Figure 5 Average maximum and minimum temperature in April (28 years)
39.760C
30.120C25.430C
20.400C
May
0.00
5.00
10.00
15.00
20.00
25.00
30.00
35.00
40.00
1980
1983
1986
1989
1992
1995
1998
2001
2004
2007
year
Tem
pera
ture
(̊c)
max.
min.
Figure 6 Average maximum and minimum temperature in May (28 years)
37.970C
31.630C26.110C
23.280C
June
0.00
5.00
10.00
15.00
20.00
25.00
30.00
35.00
40.00
1980
1983
1986
1989
1992
1995
1998
2001
2004
2007
year
Tem
pera
ture
(̊c)
max.
min.
Figure 7 Average maximum and minimum temperature in June (28 years)
31.300C
35.720C
24.520C
27.070C
July
0.00
5.00
10.00
15.00
20.00
25.00
30.00
35.00
40.00
1980
1983
1986
1989
1992
1995
1998
2001
2004
2007
year
Tem
pera
ture
(˚c)
max.
min.
Figure 8 Average maximum and minimum temperature in July (28 years)
34.530C
31.020C
26.860C 25.500C
August
0.00
5.00
10.00
15.00
20.00
25.00
30.00
35.00
40.00
1980
1983
1986
1989
1992
1995
1998
2001
2004
2007
year
Tem
pera
ture
(̊c)
max.
min.
Figure 9 Average maximum and minimum temperature in August (28 years)
34.400C
31.320C 27.150C25.740C
September
0.00
5.00
10.00
15.00
20.00
25.00
30.00
35.00
40.00
1980
1983
1986
1989
1992
1995
1998
2001
2004
2007
year
Tem
pera
ture
(̊c)
max.
min.
Figure 10 Average maximum and minimum temperature in September (28 years)
34.060C
31.130C26.970C
24.750C
October
0.005.00
10.0015.0020.00
25.0030.0035.0040.00
1980
1983
1986
1989
1992
1995
1998
2001
2004
2007
year
Tem
pera
ture
(˚c)
max.
min.
Figure 11 Average maximum and minimum temperature in October (28 years)
35.290C
29.710C25.240C
21.920C
15.00
20.00
25.00
30.00
35.00
40.00
Mar
ch
Apr
il
May
June
July
Aug
ust
Sep
tem
ber
Oct
ober
Max.temp
Min.temp
Figure 12 Month-wise average maximum and minimum temperature (28 years)
35.590C
31.840C
26.410C
18.560C
R.humidity(%)
45.0050.0055.0060.0065.0070.0075.0080.0085.0090.0095.00
Mar
ch
Apr
il
May
June
July
Aug
ust
Sep
tem
ber
Oct
ober
Figure 13 Month-wise average relative humidity (28 years)
89.81%
74.33%
86.32%
Rainfall (mm)
600.00
1600.00
2600.00
3600.00
4600.00
5600.00
6600.00
7600.00
8600.00
Mar
ch
Apr
il
May
June
July
Aug
ust
Sep
tem
ber
Oct
ober
Figure 14 Month-wise total rainfall (28 years)
928.75
1902.25
5108.53
6456.80
7582.03
6125.52
7713.05
3495.96
0.001-0.201-0.154
0.075-0.380*-0.3490.192
0.354-0.240-0.2380.084
0.2760.002-0.054-0.006
0.223-0.254-0.1080.138
0.300-0.563**-0.2630.114
0.525**
Rootstock borer
-0.200-0.099-0.379*
0.089-0.3440.008-0.204
0.221-0.0800.134-0.156
-0.053-0.369-0.2990.160
0.399*0.1390.014-0.105
-0.0090.0380.081-0.091
0.179
Stem borer
-0.117-0.259-0.228
0.009-0.006-0.264-0.225
0.0380.180-0.177-0.209
-0.2410.052-0.256-0.264
-0.3090.448*-0.0590.011
-0.2250.149-0.0220.154
0.034
Top shoot borer
Total Rainfall (mm.)Av. R. humidity (%)Av. Min. temp.( ˚c)
Av. Max. temp.( ˚c)Total Rainfall (mm.)Av. R. humidity (%)Av. Min. temp.( ˚c)
Av. Max. temp.( ˚c)Total Rainfall (mm.)Av. R. humidity (%)Av. Min. temp.( ˚c)
Av. Max. temp.( ˚c)Total Rainfall (mm.)Av. R. humidity (%)Av. Min. temp.( ˚c)
Av. Max. temp.( ˚c)Total Rainfall (mm.)Av. R. humidity (%)Av. Min. temp.( ˚c)
Av. Max. temp.( ˚c)Total Rainfall (mm.)Av. R. humidity (%)Av. Min. temp.( ˚c)
Av. Max. temp.( ˚c)
Climatic factors
October
September
August
July
June
May
Month
Table 1: Correlation (r) of climatic factors with b orer incidence
5% 1% Tabulated r' 0.374 0.479 df = 26
CONCLUSION
► The abundance of top shoot borer, Scirpophaga excerptalis Walker was positively correlated with rainfall (r = 0.448*) in the month of June where temperature and humidity did not affect significantly on their incidence.
► Stem borer, Chilo tumidicostalis Hampson was found positively correlated with average maximum temperature in July (r = 0.399*) and negatively correlated with average minimum temperature in October (r = -0.379*) where humidity and rainfall did not affect significantly on their incidence.
► The abundance of rootstock borer, Emmalocera depressella Swinhoewas positively correlated with average maximum temperature (r = 0.525**) and negatively correlated with rainfall in the month of May (r = -0.563**) and September (r = -0.380*).
► Top shoot borer and rootstock borer infestation were increased by 2.09% and 1.43% respectively during the last 28 years.
► Maximum and minimum temperature was increased by 0.18% and 0.22% respectively in the month of May during the last 28 years.