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A new formula for evaluating the effectiveness of insecticides against cotton bollworm
under Egyptian conditions, instead of the Henderson and Tilton (1955) formula
Abdallah, M. Albeltagy
Plant Protection Research Institute, Agricultural Research Center, Dokki, Giza, Egypt.
ARTICLE INFO
Article History
Received: 3 /10 / 2021
Accepted:10 / 11 /2021
Abstract:
Bollworms , pink bollworm Pectinophora gossypiella (
Saud.) (Lepidoptera: Gelechiidae) and spiny bollworm Earis
insulana ( Boisd) (Lepidoptera: Noctuidae), are the main cotton
insect pests in Egypt. Too many insecticides from different
insecticide groups are applied against it. The protocol of estimating
insecticide efficacy against it and many other insect pests depends
on the formula of Henderson and Tilton ( 1955 ), which needs to
have a control area (Untreated area) equals to the area of one
insecticide treatment , which is four cotton feddans (Acres), to
calculate the reduction percentages in bollworms infestation percent
after applying each insecticide treatment. Because of this condition
is impossible and is not applicable (Because the financial costs of the
losses of these untreated areas are about 40 thousand Egyptian
bounds), it's recommended to apply the present formula, which
derived from experimental data and it does not depend on the
presence of untreated area, but it depends on the initial bollworms
infestation percentages before applying for the insecticide treated
program, to calculate the reduction percentages in bollworms
infestation percent. The application of this formula solves a lot of
insecticide application problems in the estimating insecticide
efficacy protocol and gives acceptable and logical data which could
be beneficial when its results are applied in the cotton fields.
Keywords
Bollworms,
estimating,
insecticides,
Henderson and Tilton
(1955) and new
formula.
Introduction.
Over 1990s, the global pesticide
sale remained relatively constant,
between 270 to 300 billion dollars, of
which 44% were herbicides, 29% were
insecticides, 21% were
fungicides/bactericides, and 6% the
others. Over the period 2007 to 2008,
herbicides ranked the first in three
major categories of pesticides:
insecticides, fungicides/bactericides,
herbicides (Zhang et al., 2011). World
pesticide expenditures totaled more
than $35.8 billion in 2006 and more
than $39.4 billion in 2007.
Expenditures on herbicides accounted
for the largest portion of total
expenditures (Approximately 40%),
followed by expenditures on
insecticides, fungicides, and other
pesticides, respectively. Total
expenditures increased in 2007 due to
increased spending on all pesticide
types (Grube et al., 2011).
Global demand for pesticides will rise
2.9 percent annually to 2014, this study
analyzes the $45 billion world pesticide
industry ( Anonymous, 2010). Bakr (
2013 ) mentioned that, efficacy of
pesticides percentages can be calculated
Egyptian Journal of Plant
Protection Research Institute
www.ejppri.eg.net
Egypt. J. Plant Prot. Res. Inst. (2021), 4 (4): 499 –504
499
and corrected according to Abbott
(1925) , Henderson and Tilton (1955) ,
Schneider-Orelli or Sun-Shepard
Pὔntener (1981) formulas. These
formulas calculate corrected efficacy %
in pesticide trials. The selection of
appropriate formula is depending on
two factors: 1.Trial condition
(Infestation or population stability and
homogeneity). 2.The handled data
(Live individuals or mortality %).
Although Abbott’s (1925)
formula was a convenient descriptive
statistic for calculating the percentage
control obtained between the Core
Treatment versus Control areas,
modified or additional analytical
procedures also were used by research
teams at individual sites. Henderson
and Tilton’s (1955) formula provides a
similar metric for measuring percentage
control, but by quantifying changes in
tick density between baseline and
subsequent sampling times. It can be
used to determine treatment effects
between any two sampling periods
(Pound et al., 2009).
In this study the present formula
is compared to Henderson and Tilton’s
(1955) formula for calculating and
correcting insecticides efficacy
percentages against bollworms in
commercial cotton fields in Egypt.
Materials and methods
This study was carried out at,
Kom Isho village, Kafer Aldawar
district, Bahira Governorate, , Egypt,
whereas 18 commercial cotton fields
were chosen 17 areas for 17 different
insecticide treatments, and one as an
untreated (Control) area, each area
contained 4 cotton acres. Three
insecticide applications (Each every 15
days) were conducted with the same
insecticide, in three successive
applications (29/8, 11/9, and 25/9/2012,
respectively). The insecticides used,
formulation, concentrations, and rates
of applications are shown in Table (1).
Table (1): Applied insecticides against bollworms, formulations, concentrations, and
application rates.
Application # Insecticide
( Trade name )
Insecticide
( Common name )
Con. % and
formulation
Application
rate / Acre
I- Organophosphorus
1 Helpan Chlorpyrifos 48% - Ec 1 L
2 Dorsell Chlorpyrifos 48% - Ec 1 L
3 Chlorzid Chlorpyrifos 48% - Ec 1 L
4 Pesteban Chlorpyrifos 48% - Ec 1 L
5 Pyrofos Chlorpyrifos 48% - Ec 1 L
6 Chlofet Chlorpyrifos 48% - Ec 1 L
7 Silian Profenofos 72% - Ec 750 ml
8 Teliton Profenofos 72% - Ec 750 ml
II- Pyrethroids
9 Lampada Star Lambdacyhalothrin 5% - Ec 375 ml
10 Kafrothrin Deltamethrin 2.5% - Ec 750 ml
11 Lamdathrin Lambdacyhalothrin 5% - Ec 375 ml
12 Decies Deltamethrin 2.5% - Ec 350 ml
13 Agristar Lambdacyhalothrin 5% - Ec 375 ml
14 Pylarmada Lambdacyhalothrin 5% - Ec 750 ml
15 Demand Deltamethrin 2.5% - Ec 400 ml
16 Alfazed Alpha cypermthrin 10% - Ec 250 ml
III - Carbamates.
17 Newmell Methomyl 90 % - SP 300 gm
Albeltagy, 2021
500
Seventy two (72) green cotton
boll samples ( 14 -21 day old, four
randomized samples from each
treatment, each contained 100 green
boll ) were weekly collected from the
18 cotton fields in six successive
investigations , beginning from
29/8/2012 , and up to 3/10/2012,
transferred to the laboratory, whereas
subjected to investigations, calculating
and recording boll infestation
percentages.
Two formulas were used to
calculate the reduction in boll
infestation percentages caused by
different insecticide application, these
formulas are:
Henderson and Tilton’s (1955) formula:
Reduction % = (1 -
(B.I. % in Co. before treatment ) X (B.I. % in T after treatment)
(B.I. % in Co. after treatment) X (B.I. % in T before treatment)
) * 100
Where : B.I. % = boll infestation % , T = treated , Co. = control
The present formula :
Reduction % = (
(B.I. % in T. before treatment ) - (B.I. % in T. after treatment)
(B.I. % in T. after treatment)
) X 100
Where : B.I. % = boll infestation % , T. = treated .
Results and discussion
Data showed in Table (2)
summarized the weekly averages of
boll infestation percentages pre and
post the above mentioned insecticide
treatments. These data include the
bollworm infestation percentages
recorded from the untreated area
(Control).
Table (2) : Averages of weekly bollworms infestation % .
Treatment #
Averages of weekly bollworms infestation %
Pre Treatment Post Treatment
1 2 3 4 5 6
1 16 7 7 3 5.5 6.25
2 12 5.5 6.5 1.75 6.75 11.75
3 15 3.5 3.5 1.5 6.25 4.25
4 14.5 5 5.5 2.25 4.75 3.25
5 32 11.5 11.5 1.75 3.5 4.5
6 30.5 4.5 4.5 2.5 5.5 6.75
7 26.5 4.5 4.5 0.75 4.75 8
8 26 4 4 0.75 10.25 2.25
9 17.5 5.5 5.5 0.75 2.75 3.25
10 17.5 3 3 2.25 4 0.75
11 25 5.5 5.5 1.5 1.25 1.75
12 22 7 7 1 1.5 1.5
13 12 4.5 4.5 2 2 3
14 12.5 2 2 2.5 1.75 2.25
15 9 15.5 17 1 1.75 0.75
16 14 6 5 1.25 1.5 1
17 8.5 4.5 5 0.75 1.5 1.5
18 16 4 4 0.25 0.75 0.25
Egypt. J. Plant Prot. Res. Inst. (2021), 4 (4): 499 –504
501
Data in Table (3) showed the
negative bollworms reduction
percentages obtained after applying
Henderson and Tilton’s (1955) formula
in calculating the reduction percentages
of bollworms infestation percentages
(Table 2) after the application of the
above mentioned insecticide
applications .
Table ( 3 ) : Reduction percentages in boll infestation % according to Henderson and Tilton’s
(1955) formula .
Treatment #
Weekly bollworm investigations
1 2 3 4 5
Average boll
infestation
Red. %
1 -174.0 -99.0 -684.7 -60.1 -339.9 -271.5
2 -182.3 -117.2 -429.8 -127.6 -521.2 -275.6
3 -92.3 -99.0 -684.7 -137.9 -203.0 -243.4
4 -136.9 -109.0 -653.5 -69.4 -204.3 -234.6
5 -142.8 -99.0 -242.5 -65.7 -384.7 -186.9
6 -58.0 -99.0 -887.9 -72.3 -367.2 -296.9
7 -66.9 -99.0 -265.7 -210.1 -504.3 -229.2
8 -60.5 -99.0 -299.0 -454.6 -64.9 -195.6
9 -124.7 -99.0 -217.2 -121.2 -353.5 -183.1
10 -67.6 -99.0 -1,199.0 -58.3 -55.3 -295.8
11 -87.0 -99.0 -435.4 -26.8 -419.0 -213.4
12 -126.3 -99.0 -227.6 -49.0 -299.0 -160.2
13 -149.0 -99.0 -710.1 -32.3 -449.0 -287.9
14 -63.0 -99.0 -1,999.0 -22.3 -384.7 -513.6
15 -687.9 -108.7 -93.1 -57.3 -127.6 -214.9
16 -170.4 -82.3 -399.0 -39.0 -199.0 -178.0
17 -210.8 -110.1 -239.0 -65.7 -299.0 -184.9
Data in Table (4) showed the
positive bollworms reduction
percentages obtained after applying the
present formula in calculating the
reduction percentages of bollworms
infestation percentages (Table 2) after
the application of the above mentioned
insecticide applications .
This paper does not discuss the
efficacy of different insecticides
applied against bollworms, but it
discusses the viability of using the
formula here instead of Henderson and
Tilton’s (1955) formula in these
different cases :
1. In calculating the reduction in
infestation % after any treatment
(Herbicide, insecticide, bactericide
fungicide or any other pesticide), in any
crop and against any pest rather than
using Henderson and Tilton’s (1955)
formula, which uses in calculating the
reduction in insect population ( Not
infestation % ) .
2. In a case of the absence of untreated
area (Control).
3. In a case of a farmer applied
insecticide to the untreated area for a
commercial reasons (To gain more
benefits ) , so fare the infestation in the
untreated (Control) is equal or smaller
than in the treated areas, because this'll
cause a negative reduction % not
positive ones .
4. In a case of getting illogical data from
the untreated area or data loss for any
reason or another.
Albeltagy, 2021
502
Table ( 4 ) : Reduction percentages in boll infestation % according to the present formula .
Treatment #
weekly reduction in bollworm infestation %
1 2 3 4 5
Average boll infestation
Red. %
1 56.3 56.3 81.3 65.6 60.9 64.1
2 54.2 45.8 85.4 43.8 2.1 46.3
3 76.7 76.7 90.0 58.3 71.7 74.7
4 65.5 62.1 84.5 67.2 77.6 71.4
5 64.1 64.1 94.5 89.1 85.9 79.5
6 85.2 85.2 91.8 82.0 77.9 84.4
7 83.0 83.0 97.2 82.1 69.8 83.0
8 84.6 84.6 97.1 60.6 91.3 83.7
9 68.6 68.6 95.7 84.3 81.4 79.7
10 82.9 82.9 87.1 77.1 95.7 85.1
11 78.0 78.0 94.0 95.0 93.0 87.6
12 68.2 68.2 95.5 93.2 93.2 83.6
13 62.5 62.5 83.3 83.3 75.0 73.3
14 84.0 84.0 80.0 86.0 82.0 83.2
15 -72.2 -88.9 88.9 80.6 91.7 20.0
16 57.1 64.3 91.1 89.3 92.9 78.9
17 47.1 41.2 91.2 82.4 82.4 68.8
The present formula is very
simple, easy to be calculated and
applicable that any farmer who
cultivated any crop and has applied any
control action ( Biologically,
physically, or chemically " as a part of
integrated pest management ( IPM) )
can apply it to know the efficacy of this
control action in his own farm however
it's a small or large one . By this way
farmers can manage their control action
easily and scientists and experts can get
more reliable data successfully. The
most valuable advantage of the formula
here is that: it does not have any
financial costs , while the application
of all other formulas causes financial
losses and costs for a very simple
reason, The present formula does not
need any untreated areas (Control ), and
does not need any control samples, it
depends on the data of the pre treatment
to compare with that of the post
treatment to calculate the reduction
percentage for any control action under
any conditions .
References
Abbott, W.S. (1925): A method of
computing the effectiveness of
an insecticide. J. Econ.
Entomol.; 18 : 265-267.
Anonymous ( 2010 ) : World Pesticides
to 2014 - Market Research,
Market Share, Market Size,
Sales, Demand Forecast,
Market Leaders, Company
Profiles, Industry Trends.
http://www.freedoniagroup.co
m/World-Pesticides.html.
Bakr, E. ( 2013 ) : Ldp line software .
http://www.ehabsoft.com/ldplin
e/onlinecontrol.htm#SunShepar
d
Egypt. J. Plant Prot. Res. Inst. (2021), 4 (4): 499 –504
503
Grube, A.; Donaldson, D. ; Kiely, T.
and La, Wu ( 2011):Pesticides
Industry, Sales and Usage 2006
and 2007 Market Estimates.
EPA, Biological and Economic
Analysis Division, Office of
Pesticide Programs, Office of
Chemical Safety and Pollution
Prevention, U.S. Environmental
Protection Agency
,Washington, DC 20460.pp33.
http://www.epa.gov/opp00001/pes
tsales/07pestsales/market_estimate
s2007.pdf
Henderson, C.F. and Tilton, E. W.
(1955): Tests with acaricides
against the brow wheat mite, J.
Econ. Entomol., 48:157-161.
Pound, J. M.; Miller, J. A.; George,
J.E.; Fish, D. ; Carroll, J. F.;
Schulze, T. L. ; Daniels, T. J.
Falco, R. C.; Stafford, K. C.
and Mather, T. N. (2009): The
United States Department of
Agriculture’s Northeast. Area-
Wide Tick Control Project:
Summary and Conclusions.
Vector-borne and Zoonotic
Diseases, 9(4): 439- 448 .
http://naldc.nal.usda.gov/downl
oad/35190/pdf
Pὔntener, W. (1981): Manual for field
trials in plant protection second
edition. Agricultural Division,
Ciba-Ciegy Limited.
Zhang, W.; FuBin, J. and Jian Feng,
O. (2011) : Global pesticide
consumption and pollution:
with China as a focus.
Proceedings of the International
Academy of Ecology and
Environmental Sciences,
1(2):125-144.
http://www.iaees.org/publicatio
ns/journals/piaees/articles/2011
-1(2)/Global-pesticide-
consumption-pollution.pdf.
Albeltagy, 2021
504

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A new formula for estimating insecticides efficiency in cotton fields

  • 1. A new formula for evaluating the effectiveness of insecticides against cotton bollworm under Egyptian conditions, instead of the Henderson and Tilton (1955) formula Abdallah, M. Albeltagy Plant Protection Research Institute, Agricultural Research Center, Dokki, Giza, Egypt. ARTICLE INFO Article History Received: 3 /10 / 2021 Accepted:10 / 11 /2021 Abstract: Bollworms , pink bollworm Pectinophora gossypiella ( Saud.) (Lepidoptera: Gelechiidae) and spiny bollworm Earis insulana ( Boisd) (Lepidoptera: Noctuidae), are the main cotton insect pests in Egypt. Too many insecticides from different insecticide groups are applied against it. The protocol of estimating insecticide efficacy against it and many other insect pests depends on the formula of Henderson and Tilton ( 1955 ), which needs to have a control area (Untreated area) equals to the area of one insecticide treatment , which is four cotton feddans (Acres), to calculate the reduction percentages in bollworms infestation percent after applying each insecticide treatment. Because of this condition is impossible and is not applicable (Because the financial costs of the losses of these untreated areas are about 40 thousand Egyptian bounds), it's recommended to apply the present formula, which derived from experimental data and it does not depend on the presence of untreated area, but it depends on the initial bollworms infestation percentages before applying for the insecticide treated program, to calculate the reduction percentages in bollworms infestation percent. The application of this formula solves a lot of insecticide application problems in the estimating insecticide efficacy protocol and gives acceptable and logical data which could be beneficial when its results are applied in the cotton fields. Keywords Bollworms, estimating, insecticides, Henderson and Tilton (1955) and new formula. Introduction. Over 1990s, the global pesticide sale remained relatively constant, between 270 to 300 billion dollars, of which 44% were herbicides, 29% were insecticides, 21% were fungicides/bactericides, and 6% the others. Over the period 2007 to 2008, herbicides ranked the first in three major categories of pesticides: insecticides, fungicides/bactericides, herbicides (Zhang et al., 2011). World pesticide expenditures totaled more than $35.8 billion in 2006 and more than $39.4 billion in 2007. Expenditures on herbicides accounted for the largest portion of total expenditures (Approximately 40%), followed by expenditures on insecticides, fungicides, and other pesticides, respectively. Total expenditures increased in 2007 due to increased spending on all pesticide types (Grube et al., 2011). Global demand for pesticides will rise 2.9 percent annually to 2014, this study analyzes the $45 billion world pesticide industry ( Anonymous, 2010). Bakr ( 2013 ) mentioned that, efficacy of pesticides percentages can be calculated Egyptian Journal of Plant Protection Research Institute www.ejppri.eg.net Egypt. J. Plant Prot. Res. Inst. (2021), 4 (4): 499 –504 499
  • 2. and corrected according to Abbott (1925) , Henderson and Tilton (1955) , Schneider-Orelli or Sun-Shepard Pὔntener (1981) formulas. These formulas calculate corrected efficacy % in pesticide trials. The selection of appropriate formula is depending on two factors: 1.Trial condition (Infestation or population stability and homogeneity). 2.The handled data (Live individuals or mortality %). Although Abbott’s (1925) formula was a convenient descriptive statistic for calculating the percentage control obtained between the Core Treatment versus Control areas, modified or additional analytical procedures also were used by research teams at individual sites. Henderson and Tilton’s (1955) formula provides a similar metric for measuring percentage control, but by quantifying changes in tick density between baseline and subsequent sampling times. It can be used to determine treatment effects between any two sampling periods (Pound et al., 2009). In this study the present formula is compared to Henderson and Tilton’s (1955) formula for calculating and correcting insecticides efficacy percentages against bollworms in commercial cotton fields in Egypt. Materials and methods This study was carried out at, Kom Isho village, Kafer Aldawar district, Bahira Governorate, , Egypt, whereas 18 commercial cotton fields were chosen 17 areas for 17 different insecticide treatments, and one as an untreated (Control) area, each area contained 4 cotton acres. Three insecticide applications (Each every 15 days) were conducted with the same insecticide, in three successive applications (29/8, 11/9, and 25/9/2012, respectively). The insecticides used, formulation, concentrations, and rates of applications are shown in Table (1). Table (1): Applied insecticides against bollworms, formulations, concentrations, and application rates. Application # Insecticide ( Trade name ) Insecticide ( Common name ) Con. % and formulation Application rate / Acre I- Organophosphorus 1 Helpan Chlorpyrifos 48% - Ec 1 L 2 Dorsell Chlorpyrifos 48% - Ec 1 L 3 Chlorzid Chlorpyrifos 48% - Ec 1 L 4 Pesteban Chlorpyrifos 48% - Ec 1 L 5 Pyrofos Chlorpyrifos 48% - Ec 1 L 6 Chlofet Chlorpyrifos 48% - Ec 1 L 7 Silian Profenofos 72% - Ec 750 ml 8 Teliton Profenofos 72% - Ec 750 ml II- Pyrethroids 9 Lampada Star Lambdacyhalothrin 5% - Ec 375 ml 10 Kafrothrin Deltamethrin 2.5% - Ec 750 ml 11 Lamdathrin Lambdacyhalothrin 5% - Ec 375 ml 12 Decies Deltamethrin 2.5% - Ec 350 ml 13 Agristar Lambdacyhalothrin 5% - Ec 375 ml 14 Pylarmada Lambdacyhalothrin 5% - Ec 750 ml 15 Demand Deltamethrin 2.5% - Ec 400 ml 16 Alfazed Alpha cypermthrin 10% - Ec 250 ml III - Carbamates. 17 Newmell Methomyl 90 % - SP 300 gm Albeltagy, 2021 500
  • 3. Seventy two (72) green cotton boll samples ( 14 -21 day old, four randomized samples from each treatment, each contained 100 green boll ) were weekly collected from the 18 cotton fields in six successive investigations , beginning from 29/8/2012 , and up to 3/10/2012, transferred to the laboratory, whereas subjected to investigations, calculating and recording boll infestation percentages. Two formulas were used to calculate the reduction in boll infestation percentages caused by different insecticide application, these formulas are: Henderson and Tilton’s (1955) formula: Reduction % = (1 - (B.I. % in Co. before treatment ) X (B.I. % in T after treatment) (B.I. % in Co. after treatment) X (B.I. % in T before treatment) ) * 100 Where : B.I. % = boll infestation % , T = treated , Co. = control The present formula : Reduction % = ( (B.I. % in T. before treatment ) - (B.I. % in T. after treatment) (B.I. % in T. after treatment) ) X 100 Where : B.I. % = boll infestation % , T. = treated . Results and discussion Data showed in Table (2) summarized the weekly averages of boll infestation percentages pre and post the above mentioned insecticide treatments. These data include the bollworm infestation percentages recorded from the untreated area (Control). Table (2) : Averages of weekly bollworms infestation % . Treatment # Averages of weekly bollworms infestation % Pre Treatment Post Treatment 1 2 3 4 5 6 1 16 7 7 3 5.5 6.25 2 12 5.5 6.5 1.75 6.75 11.75 3 15 3.5 3.5 1.5 6.25 4.25 4 14.5 5 5.5 2.25 4.75 3.25 5 32 11.5 11.5 1.75 3.5 4.5 6 30.5 4.5 4.5 2.5 5.5 6.75 7 26.5 4.5 4.5 0.75 4.75 8 8 26 4 4 0.75 10.25 2.25 9 17.5 5.5 5.5 0.75 2.75 3.25 10 17.5 3 3 2.25 4 0.75 11 25 5.5 5.5 1.5 1.25 1.75 12 22 7 7 1 1.5 1.5 13 12 4.5 4.5 2 2 3 14 12.5 2 2 2.5 1.75 2.25 15 9 15.5 17 1 1.75 0.75 16 14 6 5 1.25 1.5 1 17 8.5 4.5 5 0.75 1.5 1.5 18 16 4 4 0.25 0.75 0.25 Egypt. J. Plant Prot. Res. Inst. (2021), 4 (4): 499 –504 501
  • 4. Data in Table (3) showed the negative bollworms reduction percentages obtained after applying Henderson and Tilton’s (1955) formula in calculating the reduction percentages of bollworms infestation percentages (Table 2) after the application of the above mentioned insecticide applications . Table ( 3 ) : Reduction percentages in boll infestation % according to Henderson and Tilton’s (1955) formula . Treatment # Weekly bollworm investigations 1 2 3 4 5 Average boll infestation Red. % 1 -174.0 -99.0 -684.7 -60.1 -339.9 -271.5 2 -182.3 -117.2 -429.8 -127.6 -521.2 -275.6 3 -92.3 -99.0 -684.7 -137.9 -203.0 -243.4 4 -136.9 -109.0 -653.5 -69.4 -204.3 -234.6 5 -142.8 -99.0 -242.5 -65.7 -384.7 -186.9 6 -58.0 -99.0 -887.9 -72.3 -367.2 -296.9 7 -66.9 -99.0 -265.7 -210.1 -504.3 -229.2 8 -60.5 -99.0 -299.0 -454.6 -64.9 -195.6 9 -124.7 -99.0 -217.2 -121.2 -353.5 -183.1 10 -67.6 -99.0 -1,199.0 -58.3 -55.3 -295.8 11 -87.0 -99.0 -435.4 -26.8 -419.0 -213.4 12 -126.3 -99.0 -227.6 -49.0 -299.0 -160.2 13 -149.0 -99.0 -710.1 -32.3 -449.0 -287.9 14 -63.0 -99.0 -1,999.0 -22.3 -384.7 -513.6 15 -687.9 -108.7 -93.1 -57.3 -127.6 -214.9 16 -170.4 -82.3 -399.0 -39.0 -199.0 -178.0 17 -210.8 -110.1 -239.0 -65.7 -299.0 -184.9 Data in Table (4) showed the positive bollworms reduction percentages obtained after applying the present formula in calculating the reduction percentages of bollworms infestation percentages (Table 2) after the application of the above mentioned insecticide applications . This paper does not discuss the efficacy of different insecticides applied against bollworms, but it discusses the viability of using the formula here instead of Henderson and Tilton’s (1955) formula in these different cases : 1. In calculating the reduction in infestation % after any treatment (Herbicide, insecticide, bactericide fungicide or any other pesticide), in any crop and against any pest rather than using Henderson and Tilton’s (1955) formula, which uses in calculating the reduction in insect population ( Not infestation % ) . 2. In a case of the absence of untreated area (Control). 3. In a case of a farmer applied insecticide to the untreated area for a commercial reasons (To gain more benefits ) , so fare the infestation in the untreated (Control) is equal or smaller than in the treated areas, because this'll cause a negative reduction % not positive ones . 4. In a case of getting illogical data from the untreated area or data loss for any reason or another. Albeltagy, 2021 502
  • 5. Table ( 4 ) : Reduction percentages in boll infestation % according to the present formula . Treatment # weekly reduction in bollworm infestation % 1 2 3 4 5 Average boll infestation Red. % 1 56.3 56.3 81.3 65.6 60.9 64.1 2 54.2 45.8 85.4 43.8 2.1 46.3 3 76.7 76.7 90.0 58.3 71.7 74.7 4 65.5 62.1 84.5 67.2 77.6 71.4 5 64.1 64.1 94.5 89.1 85.9 79.5 6 85.2 85.2 91.8 82.0 77.9 84.4 7 83.0 83.0 97.2 82.1 69.8 83.0 8 84.6 84.6 97.1 60.6 91.3 83.7 9 68.6 68.6 95.7 84.3 81.4 79.7 10 82.9 82.9 87.1 77.1 95.7 85.1 11 78.0 78.0 94.0 95.0 93.0 87.6 12 68.2 68.2 95.5 93.2 93.2 83.6 13 62.5 62.5 83.3 83.3 75.0 73.3 14 84.0 84.0 80.0 86.0 82.0 83.2 15 -72.2 -88.9 88.9 80.6 91.7 20.0 16 57.1 64.3 91.1 89.3 92.9 78.9 17 47.1 41.2 91.2 82.4 82.4 68.8 The present formula is very simple, easy to be calculated and applicable that any farmer who cultivated any crop and has applied any control action ( Biologically, physically, or chemically " as a part of integrated pest management ( IPM) ) can apply it to know the efficacy of this control action in his own farm however it's a small or large one . By this way farmers can manage their control action easily and scientists and experts can get more reliable data successfully. The most valuable advantage of the formula here is that: it does not have any financial costs , while the application of all other formulas causes financial losses and costs for a very simple reason, The present formula does not need any untreated areas (Control ), and does not need any control samples, it depends on the data of the pre treatment to compare with that of the post treatment to calculate the reduction percentage for any control action under any conditions . References Abbott, W.S. (1925): A method of computing the effectiveness of an insecticide. J. Econ. Entomol.; 18 : 265-267. Anonymous ( 2010 ) : World Pesticides to 2014 - Market Research, Market Share, Market Size, Sales, Demand Forecast, Market Leaders, Company Profiles, Industry Trends. http://www.freedoniagroup.co m/World-Pesticides.html. Bakr, E. ( 2013 ) : Ldp line software . http://www.ehabsoft.com/ldplin e/onlinecontrol.htm#SunShepar d Egypt. J. Plant Prot. Res. Inst. (2021), 4 (4): 499 –504 503
  • 6. Grube, A.; Donaldson, D. ; Kiely, T. and La, Wu ( 2011):Pesticides Industry, Sales and Usage 2006 and 2007 Market Estimates. EPA, Biological and Economic Analysis Division, Office of Pesticide Programs, Office of Chemical Safety and Pollution Prevention, U.S. Environmental Protection Agency ,Washington, DC 20460.pp33. http://www.epa.gov/opp00001/pes tsales/07pestsales/market_estimate s2007.pdf Henderson, C.F. and Tilton, E. W. (1955): Tests with acaricides against the brow wheat mite, J. Econ. Entomol., 48:157-161. Pound, J. M.; Miller, J. A.; George, J.E.; Fish, D. ; Carroll, J. F.; Schulze, T. L. ; Daniels, T. J. Falco, R. C.; Stafford, K. C. and Mather, T. N. (2009): The United States Department of Agriculture’s Northeast. Area- Wide Tick Control Project: Summary and Conclusions. Vector-borne and Zoonotic Diseases, 9(4): 439- 448 . http://naldc.nal.usda.gov/downl oad/35190/pdf Pὔntener, W. (1981): Manual for field trials in plant protection second edition. Agricultural Division, Ciba-Ciegy Limited. Zhang, W.; FuBin, J. and Jian Feng, O. (2011) : Global pesticide consumption and pollution: with China as a focus. Proceedings of the International Academy of Ecology and Environmental Sciences, 1(2):125-144. http://www.iaees.org/publicatio ns/journals/piaees/articles/2011 -1(2)/Global-pesticide- consumption-pollution.pdf. Albeltagy, 2021 504