ISSN: 0973-7510
E-ISSN: 2581-690X
Nicholas A. Egyir1,2, Bernard Walter L. Lawson1, Kwame Desewu2, Rosemary Ampofo-Bekoe2, Hezekiel M. Kumalo3 and Daniel G. Amoako4,5 
J Pure Appl Microbiol, 2019, 13 (2): 677-688 | Article Number: 5503
https://dx.doi.org/10.22207/JPAM.13.2.04 | © The Author(s). 2019
Received:24/01/2019 | Accepted: 03/03/2019 | Published: 10/05/2019
This study determined the susceptibility of Anopheles mosquitoes to some agricultural insecticides used in the Adansi North District of the Ashanti Region, and the efficacy of Actellic (pirimiphos-methyl) 50 EC as an alternative insecticide for the control of mosquitoes in the district. Anopheles larvae were collected from mosquito breeding sites near farms. Five insecticides were assayed, pirimiphos-methyl (0.9%), DDT (4%), propoxur (0.1%), deltamethrin (0.05%), and lambda-cyhalothrin (0.05%). The residual efficacy of pirimiphos-methyl 50 EC sprayed on two surfaces (mud and cement) were determined by cone bioassay test at two-weekly intervals for 15 weeks after spraying. The susceptibility test showed the levels of phenotypic resistance of Anopheles spp. to the agricultural insecticides. Anopheles gambiae s.l. (96.50%) was the most dominant Anopheles species. The principal malaria vector in the district was resistant to DDT, Propoxur, Deltamethrin, and Lambda-cyhalothrin. Pirimiphos-methyl an organophosphate remained effective against the malaria vector. Student t-test analysis of bioassay test results showed that statistically the average mortality of Anopheles mosquitoes on cement surface was higher than the average mortality on mud surface. In conclusion, agricultural insecticides used in the district were negatively affecting malaria vector control activities. The use of pirimiphos-methyl (Actellic 50 EC) as an alternative insecticide against the malaria vector was more effective on cemented wall surface than on mud surface wall.
Susceptibility, Anopheles mosquito, insecticides, Adansi, Ghana.
The population of Africa has increased in the last three decades and has resulted in increasing demand for food. This increasing population cannot be sustained without the use of pesticides in food production (Hazell & Wood 2008). Pesticides are used to reduce food losses not only during production, but also during the post-harvest storage stage. Different classes of insecticides are used in agricultural production. The common ones used are the organic insecticides which include organochlorines, organophosphates, carbamates and pyrethroids (Aktar et al. 2009). The general pest control strategy is to destroy the pests feasting on the crops, but at the same time not to damage the produce so much as to render them unhealthy or unprofitable. Insecticides may leave toxic residues on food and fodder which may have adverse effects on the ecosystem by creating disequilibrium of food chains, scavengers, insect-host and insect-plant relationships. There is a danger that insecticides may kill organisms other than the targeted insects (Moy & Wessel 2000).
Vector control remains the most effective strategy of malaria control and the two most important control strategies are the use of long-lasting insecticide-treated nets (LLINs) and indoor residual spraying (IRS) which have helped reduce malaria mortalities in Africa by 33 % in the last decade (Hemingway 2014). However, the World Health Organisation (WHO) has recommended the use of these same classes of insecticides in public health activities such as treating of long-lasting mosquito nets, indoor residual spraying and larviciding. The Global Plan for Insecticide Resistance Management (GPIRM) was launched in 2012 in response to the danger of insecticide resistance which could lead to the failure of vector control interventions (WHO 2013). The use of chemical insecticides to control malaria vector as well as the use of these same insecticides in agriculture may contribute to the development of resistance (Yadouleton et al. 2009). The New Partnership for Africa’s Development (NEPAD) in 2013 reported that there has been an increased utilisation of agricultural insecticides and has resulted in major reduction in harvest losses. Insecticides move through the environment; thus, the use of insecticides to control pests in agriculture has become a threat to malaria vector control (Diabate et al. 2002). The continuous utilisation of these chemicals is detrimental to humans and other life forms. There is also the risk of insecticide resistance which will lead to widespread failure of public health interventions.
Agriculture is the backbone of Ghana’s economy. It accounts for 29.9% of the Gross Domestic Product (GDP) of Ghana (Ghana Statistical Service 2010). Recent studies on the continuous use of insecticides in food production in the country to increase productivity and maximise profit has been reported (Elvis Asare 2015; Denkyirah et al. 2016). Hence there is the need for an evidence-based study to evaluate the susceptibility of the malaria vector to families of chemical insecticides utilised in malaria control interventions and in agriculture. This study sought to determine the susceptibility of Anopheles mosquito to some agricultural insecticides which are also used in public health for the control of mosquitoes at the Adansi north district, in the Ashanti Region of Ghana.
Study area and geographical location
The study was conducted in the Adansi North District which covers an area of approximately 1140 km2 representing about 4.7% of the total land area of Ashanti Region in Ghana. The district is located between Longitude 1.50W, latitude 1.4 N and Longitude 1.50W latitude 6.30 N within the semi-equatorial climatic region and thus experiences high temperatures and high rainfall throughout the year (Ghana Statistical Service 2010). A map of the study area is shown in Fig. 1. It is one of the major cereals, cash crop and vegetable production centres in Ghana; these crops are produced both for local consumption and for export. Out of the total of the 23 863 households in the district, 74.2% of them are engaged in various types of agricultural activities (Ghana Statistical Service 2010) and as a result they resort to the use of any means at their disposal to prevent pest infestation, obtain higher yields, and avoid post-harvest losses in their farming activities.
Fig. 1. Map of the study area, Adansi North District, Ashanti Region.
Questionnaire administration
A questionnaire was administered to obtain information on knowledge and extent of insecticide usage by farmers and the crops grown in the district with the assistance of Agricultural Extension officers. A total of 300 farmers were covered. Multiple answers were allowed.
Collection and identification of mosquitoes
Anopheles larvae were collected from mosquito breeding sites near farms. Anopheles larvae were identified by their parallel position on the water surface. Water containing mosquito larvae was collected using a ladle, into labelled plastic containers with lids and transported to the insectary of AngloGold Ashanti (Ghana) Malaria Control Ltd in Obuasi. A total of 3 500 wild female Anopheles spp. and 2 700 susceptible Anopheles spp. (Kisumu strain) were used for the study. Morphological identification of mosquitoes was done using the taxonomic keys of Gillies & Coetzee (1987).
Rearing of mosquito larvae to adulthood
Mosquito larvae collected from breeding grounds were sent to the insectary and transferred into plastic bowls of about 2 cm depth and labelled to denote the breeding site and date of collection. Larvae were fed twice daily with fish meal and closely monitored till pupation when pupae were collected into adult mosquito cages. The average temperature and relative humidity of the adult mosquito room of the insectary were 26.4oC and 80.6%, respectively. Adult mosquitoes were fed with 10% sugar solution, soaked in cotton balls.
Adult mosquito susceptibility bioassays
Susceptibility of Anopheles mosquito was determined using the standard WHO protocol. There were two tubes marked red and green representing exposure and holding tubes respectively (WHO 2013). The red marked tubes had impregnated insecticide papers held in the tube with copper clips whilst the holding tubes had plane paper held in place by steel clips. The slide unit with 20 mm hole was then fixed to the holding tube. Anopheles mosquito were introduced into the holding tubes through the 20 mm opening using the straight aspirator. Twenty to twenty-five active female mosquitoes were aspirated from a mosquito cage into each of the six holding tubes. Mosquitoes were kept in the holding tubes for one hour, after which they were transferred into the exposure tubes. The exposure tube was fixed to the slide unit of the holding tube and mosquitoes were transferred into their corresponding exposure tubes (WHO 2013). Non-blood fed female Anopheles mosquitoes that were 3-5 days old were tested with the five insecticides; Pirimiphos methyl (0.9%), DDT (4%), Propoxur (0.1%), Deltamethrin (0.05%), and Lambda-cyhalothrin (0.05%). Knockdown rates were recorded at 5, 10, 15, 20, 30, 40, 50 and 60 min after which the mosquitoes were transferred back into the holding tubes. A pad of cotton-wool soaked in 10% sugar water that served as food was placed on the mesh-screen end of the holding tubes and allowed to stand upright for 24 hours (WHO 2013). Laboratory maintained Anopheles sp. (Kisumu strain) known to be susceptible to all the insecticides being tested was used as a reference strain. Mortalities were recorded after 24 hour post-exposure, according to the formula below:
Observed mortality= (Total number of dead mosquitoes)/ (Total sample size) x 100
Indoor residual spraying application
Actellic 50 EC (Syngenta) with pirimiphos-methyl as active ingredient was selected and its efficacy on emulsion painted cemented surface and mud walled surface evaluated. Actellic 50 EC was obtained from the operations department of AngloGold Ashanti (Ghana) Malaria Control Ltd. A 10 litre spray pump was used. One litre of Actellic 50 EC was mixed in 9 litres of tap water in the spray can and pressurised to 379.2 kPa (Syngenta 2005). The application rate was 4.5 seconds. One emulsion-painted cemented surface and one mud surface houses were chosen from each of the four communities, Pipiiso, Bodwesango, Tewobaabi and Old Edubiase.
Efficacy monitoring of Actellic 50 EC
The efficacy monitoring on the two surfaces were assessed by the cone bioassay test. The mortality rate of Anopheles mosquito to the insecticide sprayed on the two surfaces were monitored at two-weekly intervals for 15 weeks after spraying, from 3 January, to 5 April 2015. The edges of the transparent plastic cones were lined with adhesive tapes at three different points on the surfaces and these were the top, centre and bottom. Another cone was fixed on insecticide-free board and used as control. Ten 3-5-day old non-blood fed adult female Anopheles mosquitoes which were obtained through larval collection and reared in the insectary were transferred into the transparent cone fixed on the wall and observed for 30 min at 5, 10, 15, 20 and 30 min for “knocked downs”. Separate aspirators were used to transfer mosquitoes to control cones. After the 30 min, the mosquitoes were carefully transferred from the cones to separate paper cups. A pad of a cotton-wool soaked in 10% sugar water was placed on the mesh-screen end of the paper cups to provide feed for the adults and held for 24 h. Laboratory-maintained Anopheles sp. (Kisumu strain) known to be susceptible to all the insecticides being tested was used as a reference strain. The numbers of dead mosquitoes were counted after 24 h. Percentage mortality was calculated, and the mosquitoes were identified morphologically to species level (Gillies & Meillon 1968).
Data analysis
The questionnaire data was analysed and presented in Tables, Charts and percentages using SPSS version 16 software. Test data were interpreted as: death rate between 98 and 100% shows susceptibility; death rate of between 90% and 97 % was suggestive of the presence of resistance and further examination was required; death rate under 90%, affirmed resistance (WHO 2013). Analysis of variance (ANOVA) was used to analyse the efficacy monitoring data at 5% significance level. Student t-test analysis compared average mortalities on the emulsion painted cement surface and the mud surface and F-statistic compared the average mosquito mortalities in the four communities.
Questionnaire survey
A total of 300 farmers from 23 communities in the study area took part in the questionnaire survey. Among the farmers, 206 (68.7 %) were males and 94 (31.3%) were females. Ninety-five percent (95%) of respondents had at least 3 years of experience in the use of agricultural insecticides. Sixty-eight percent (68 %) of respondents had not been to school, 21 % had education up to the primary school level, 10 % had a secondary school level education and only 1% had education to the tertiary level.
Insecticides used for crop protection against insect pests
Neonicotinoids were the largest class of insecticides used by farmers in the study district accounting for 47% of all insecticide family used. Pyrethroids, organophosphates and organochlorines represented 33.9%, 13.2% and 5.9%, respectively. Pyrethroids were mainly bifenthrin, lambda-cyhalothrin and fenvalerate whilst the organophosphate was pirimiphos-methyl. Fenvalerate was the least used insecticide (8.1%), far lower than the utilisation rate of imidacloprid and bifenthrin with utilisation rates of 73.5 % and 47.0 % respectively (Fig. 2a).
Fig. 2.a Utilization rate of the various families of insecticides. 2b: Distribution of insecticide class used by the farmers to spray crops.
Insecticides used and their status
Farmers in the district rely heavily on insecticides for the control of insect pests (Supplementary Table S1-3 and Fig. S1). An organochlorine, DDT, found in use in the area (Table 1) is not registered for use in Ghana because there are safer alternatives and also because of its persistence in the environment. Up to 62 % of respondents do not understand the labels on the insecticides. On dosage of insecticides, it was noticed that only a few adhered to the recommended dose. Most of the farmers (52%), reported that they lack knowledge or understanding of what dosage of insecticide means; thus most of the respondents misused and applied chemicals indiscriminately. Ninety-eight percent of the respondents do not use insecticides in controlling pests in their homes, however, 2% used insecticides in their homes to control cockroaches, ants, and other domestic insects because they were effective in killing these domestic pests. Some of the farmers (29%) reported that they usually experience discomfort after spraying their crops; they attributed their discomfort to the use of insecticides. The frequency distribution of the insecticide class used by the farmers (Fig. 2b) to spray crops in a single crop season.
Table 1:
Major insecticides used in the Adansi North District by farmers
S/N |
Brand Name |
Active Chemical |
Content |
Class of Insecticide |
|---|---|---|---|---|
1 |
Confidor 200 SL |
Imidacloprid |
200 g/l |
Neonicotinoid |
2 |
Actara 240 SC |
Thiamethoxam |
240 g/l |
Neonicotinoid |
3 |
*DDT |
p,p’-DDT |
Organochlorine |
|
4 |
Akatse Master |
Bifenthrin |
27 g/l |
Pyrethroid |
5 |
Karat 5 EC |
Lambda-cyhalothrin |
(240 g/l) |
Pyrethroid |
6 |
Lambda Super 2.5 EC |
Lambda-cyhalothrin + dimethoate |
36 g/l, 36 g/l |
Pyrethroid |
7 |
Lambda – M 2.5% EC |
Lambda-cyhalothrin |
25 g/l |
Pyrethroid |
8 |
Actellic 50 EC |
Pirimiphos-methyl |
50 g/l |
Organophosphate |
9 |
Sumitox EC |
Fenvalerate |
200 g/l |
Pyrethroid |
*DDT is no longer registered for use in Ghana but it is still being used by some farmers.
Vector susceptibility test
The results for the susceptibility status of Anopheles spp. is presented in Fig. 3a below and Anopheles spp. was considered resistant to four out of five insecticides tested. The two insecticides belonging to the pyrethroid class, namely, lambda-cyhalothrin and deltamethrin recorded 52% and 41% mortality respectively. There was 3% mortality rate for mosquitoes exposed to DDT. Propoxur recorded 46% mortality. The highest (99% mortality) susceptibility was observed for pirimiphos methyl, an organophosphate (Table S4). Knockdown rates (Fig. 3b) for all the insecticides assayed were obtained after one-hour exposure of adult Anopheles mosquito to insecticide-treated papers. Fig. S2-11, show graphs of knockdown-time curve for all insecticide assayed.
Fig. 3a.Susceptibility of Anopheles spp. to insecticides used for crop protection in the study district. The blue bar represents mortalities in test groups and the orange bar mortalities in control groups. Control mortality MT24 was less than 10%, thus no correction required (Control MT24 = 4%). 3b: Knockdown rates for all insecticides assayed. The knockdown rates for all the insecticides assayed were obtained after one-hour exposure of adult Anopheles mosquitoes to the insecticide-treated papers.
Cone bioassay test
The residual efficacy monitoring test showed pirimiphos-methyl remained effective against the vector. From week one to seven, the average percentage mortalities after 24 h of examination were 100% and 52.5% for cemented and mud surfaces respectively (Fig. 4a). However, at week 15, the average percentage mortalities were 93.33 % for cemented surface and 21.67% for mud surface. Fig. 4b shows the average percentage mortalities 24 h post exposure between the wild and susceptible Anopheles strain.
Fig. 4a. Exposure time mortality bioassay of wild Anopheles spp. with Actellic 50 EC on two surfaces (cemented and emulsion painted, and mud). Mortality rates were obtained after 30 minutes of exposure of adult Anopheles mosquitoes to the sprayed surface and 24 hour holding period. 4b: Exposure time mortality bioassay of Anopheles spp. and Susceptible Anopheles spp. (Kisumu strain) with Actellic 50 EC on two surfaces (cemented and emulsion painted, and mud). Mortality rates were obtained after 30 minutes of exposure of adult Anopheles mosquitoes to the sprayed surface and 24 hour holding period. Student T-test analysis of average mortality rate for cement surfaces and mud surfaces result showed that average mortality of 97.6% for cement surfaces and 54.8% for mud surfaces was significant (P-value > 0.05).
Dominant Anopheles species in the district
Anopheles species identified on the basis of morphological features on the adult showed that Anopheles gambiae s.l (96.50%) was dominant Anopheles spp. in the area followed by Anopheles funestus (3.00%) and Anopheles pharoensis (0.50%).
Insecticides used by farmers are, incidentally, the same as those recommended for use in the control of the malaria vector mosquitoes. Thus, there is a threat of mosquito vector resistance to the insecticides used to control it. The use of pesticides is the principal pest control strategy commonly applied by farmers to protect their crop in the district. These products, if not used correctly, can have direct environmental and health consequences and indirect consequences through the selection of insecticide resistance in malaria vectors. This constitutes a real threat for insecticide-based vector control and can lead to vector-control intervention failures, as reported by Hargreaves et al. 2000 in South Africa.
Results from this study, indicated that there was heavy reliance on some specific insecticides. Neonicotinoid were the class of insecticides most used by farmers in the district. These accounted for 47.0 % of all insecticides used. Insecticide residues may contaminate soil and mosquito breeding water. This may create a strong selective pressure in mosquito larvae breeding sites (Hien et al. 2017). It was observed that the rate of application was not in agreement with both the manufacturers and Ministry of Agriculture recommendations. “Akatse master” (with Bifenthrin as the active ingredient) recommended for use on cocoa is used for vegetable and cereal cultivation. Cocoa should be sprayed once every month for 8 months but most of the farmers applied chemical insecticides 3 times (minimum) and 12 times (maximum) application rates. This means most farmers do not even understand pest biology, including susceptibility or resistance levels to chemicals used. Thus, a potential development of resistance in the pests was likely to be interpreted as an insecticide under-dosing, which may lead to an increase in insecticide application (Stratonovitch et al. 2014).
Majority of the respondents (68 %) could not read nor write and thus could not understand labels on insecticide containers (Jepson et al. 2014). Ajayi & Akinnifesi 2007, concluded from a study that most farmers did not understand pesticide safety labels and instructions on field spraying practices, thus limiting the potential for written information on chemicals to be used accurately, with resultant serious environmental and health consequences. About 29% of farmers complained about headache, nausea and vomiting after insecticide application which is consistent with findings from field study by Clarke et al. (1997). The study explained further that there were direct linkages between knowledge and/or the use of protective equipment by farmers on the one hand and the extent of negative side effects on the other hand (Clarke et al. 1997). The Ministry of Agriculture in the district has also not done enough to educate farmers on the choice of insecticide, the dosage and the dilution rate. This has led to farmers buying insecticides from local agrochemical shops and using their own dilution and application rates. Even though DDT was banned by the EPA, some farmers still acquired it illegally due to an uncontrolled sales and distribution of insecticides in the district by agrochemical sellers. Uncontrolled use of agricultural insecticides may lead to the contamination of larval breeding sites (Hien et al. 2017). The metabolic system of the mosquito could be affected which could lead to development of tolerance of adult mosquitoes to several insecticides and selection for resistance over several generations (Nkya et al. 2014). The use of different classes of chemical insecticides in agriculture, could lead to much faster development of resistance by the malaria vector (Ajayi &Akinnifesi 2007). Nkya et al. (2014) reported that, Anopheles gambiae larvae that were exposed to a mixture of agricultural insecticides increased their resistance to a broad range of insecticides at the adult stage.
The present study has shown that practices of farmers in the district may favour the development of resistance in malaria vectors as indicated by Antonio-Nkondjio et al. (2011) and Yadouleton et al. (2009). The susceptibility test showed the levels of phenotypic resistance of Anopheles spp to agricultural insecticides. The principal malaria vector in the study area was resistant to Lambda-cyhalothrin, Deltamethrin, DDT and Propoxur. Pirimiphos-methyl, an organophosphate, was, however, effective against the vector. Anopheles spp. were highly resistant to DDT. One may expect that the malaria vector should have regained its susceptibility to DDT after its use commercially had been banned for a very long time; this was, however, not the case. Responses from the farmers showed that some quantities were still acquired and subtly used. DDT and pyrethroids have the same mode of action, thus, the 3% mortality recorded could be attributed to the phenomenon of cross-resistance (Macoris et al 2018). This confirms the findings that population of insects that were resistant to DDT in the 1950’s also exhibited resistance, with no previous exposure to pyrethroid insecticides used decades later (WHO 1992). The World Health Organization has recommended pyrethroids for treating mosquito nets which has become the main method of malaria prevention in Ghana. Uncontrolled utilization of agricultural insecticides for crop protection and higher yields may support development of resistance. This trend has the tendency to negatively affect the control of the malaria vector. The negative effects of agricultural insecticides could be reduced by enhancing farmers understanding and knowledge on the use and management of insecticides, including rotation of various classes of insecticides. Insecticide resistance admini-stration procedures support rotation of insecticide classes utilized in IRS and LLINs. Utilization of insecticides in IRS and LLINs in vector control is the major selective force. Nevertheless, if a significant proportion of selection pressure originates from agriculture, then rotational utilization of various classes of insecticides in IRS may just have a limited efficiency. Efficient resistance management depends not only on information about the insect population but also consideration of the main sources of insecticide resistance selection pressures (Helps et al. 2017). The increase in uncontrolled utilization of agricultural insecticides for crop protection and higher yields may support development of resistance. In this manner, the spread of insecticide resistance is most likely a result of both vector control and the increased use of agricultural insecticides.
Indoor residual spraying (IRS) strategy has a great impact on the transmission rate of malaria. IRS reduces the life span of mosquitoes, reduces the number of people bitten by mosquitoes and contributes to reduction of malaria transmission, mortality and morbidity (Steinhardt et al. 2013). Student T-test analysis of bioassay results showed that statistically the average mortality (97.6%) on cement plastered surface was higher than the on mud-plastered surface (54.8%). This result is consistent with that of Agossa et al. (2014). Actellic 50 EC could have been absorbed or broken down quicker on a mud surface than on the cemented surface. The mud surface had crevices and some of the insecticides may have gotten into these crevices and thus were unavailable on the surface. This could have contributed to the lower average mortality rates of 54.8% for mud surface over the period of the cone bioassay test.
In summary, the spread of insecticide resistance is most likely to come from agricultural insecticide usage and vector control programmes. There is, thus, an effect of agricultural insecticide usage on malaria vector control interventions. It is recommended that molecular studies be undertaken on the Anopheles species in the study area to determine the levels and mechanisms of resistance and to identify the Anopheles gambiae complex present in the district.
Acknowledgments
The authors thank the staff of the Ministry of Food and Agriculture (Adansi North District office), the people of the Adansi North district who welcomed us to their homes during the period of the study and the Entomology Research Unit, AngloGold Ashanti (Ghana) Malaria Control Ltd, Obuasi, Ghana for their assistance in the field and laboratory work.
Conflict Of Interest
The authors declares that there is no conflict of Interest.
Author’s Contribution
NE, BL, KD, RA, HK and DA Co-conceptualised the study. NE and KD performed the laboratory work. NE KD and DA analyzed the data. NE, BL, KD, RA, HK and DA did vetting of results. NE wrote the manuscript. NE, BL, KD, RA, HK and DA Undertook critical revision of the manuscript.
Funding
None.
Data Availability
All datasets generated or analyzed during this study are included in the manuscript and/or the Supplementary Files.
Table S1:
Frequency distribution of class of insecticide used
Class |
Frequency |
Percentage |
|---|---|---|
Neonicotinoid |
244 |
47.0 |
Organochlorine |
121 |
5.9 |
Pyrethroid |
177 |
33.9 |
Organophosphate |
101 |
13.2 |
Total |
643 |
100 |
Table S2:
Rate of insecticide utilization in the district
CROPS |
FREQUENCY |
PERCENT |
MINIMUM |
MAXIMUM |
MEAN |
|---|---|---|---|---|---|
ONION |
4 |
1.3 |
3 |
3 |
3 |
PEPPER |
73 |
24.4 |
2 |
12 |
3.3 |
TOMATOES |
56 |
18.7 |
2 |
12 |
3.3 |
GARDEN EGGS |
29 |
9.7 |
2 |
12 |
4 |
OKRA |
12 |
4 |
3 |
12 |
5.7 |
CABBAGE |
61 |
20.1 |
2 |
20 |
4.1 |
MAIZE |
134 |
44.8 |
1 |
4 |
2.3 |
RICE |
1 |
0.3 |
4 |
4 |
4 |
COCOA |
257 |
86 |
1 |
12 |
4.8 |
COFFEE |
13 |
4.3 |
3 |
7 |
4.1 |
TOTAL |
639 |
213.7 |
– |
– |
3.86 |
Table S3:
Standard WHO susceptibility test with Anopheles spp. on insecticide-treated papers
Insecticide |
Concentration
(%) |
Knockdown (60 mins) |
Control knock
down |
Final test mortality |
Control mortality (24 hours) |
Susceptibility status |
|---|---|---|---|---|---|---|
Lambda-cyhalothrin |
0.05 |
22.0 |
0.0 |
52.0 |
0.0 |
RESISTANT |
Deltamethrin |
0.05 |
7.0 |
0.0 |
41.0 |
0.0 |
RESISTANT |
DDT |
4 |
2.0 |
0.0 |
3.0 |
0.0 |
RESISTANT |
Propoxur |
0.1 |
15.0 |
0.0 |
46.0 |
4.0 |
RESISTANT |
Pirimiphos- methyl |
0.9 |
44.0 |
0.0 |
99.0 |
4.0 |
SUSCEPTIBLE |
Fig. S1. Distribution of the insecticides used by the respondents to spray their crops
Fig. S2. Overall knockdown and mortality for Lambda-cyhalothrin
Fig. S3.Knockdown – Time Curve for Lambda-cyhalothrin
Fig. S4.Overall knockdown and mortality for Deltamethrin
Fig. S5.Knockdown – Time Curve for Deltamethrin
Fig. S6. Overall knockdown and mortality for DDT
Fig. S7. Knockdown – Time Curve for DDT
Fig. S8. Overall knockdown and mortality for Propoxur
Fig. S9. Knockdown – Time Curve for Propoxur
Fig. S10. Overall knockdown and mortality for Pirimiphos methyl
Fig. S11. Knockdown – Time Curve for Pirimiphos methyl
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