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opencc-by-4.0Dec 2022View details →

Figure 2 in The impact of wheat resistance and bio-rational insecticides toxicity against cherry-oat aphid, Rhopalosiphum padi L. (Hemiptera: Aphididae)

Figure 2: Trichomes density on mm 2 leaf area of various wheat varieties. Each value is the mean of five replications. *Mean followed by the same letter do not differ significantly at p = 0.05

opencc-by-4.0Dec 2022View details →

Figure 3 in The impact of wheat resistance and bio-rational insecticides toxicity against cherry-oat aphid, Rhopalosiphum padi L. (Hemiptera: Aphididae)

Figure 3. Effect of IGR's and plant extracts application on the population of Rhopalosiphum padi. A. After the first spray, B. After the second spray DBT (day before treatment), DAT (day after treatment).

opencc-by-4.0Dec 2022View details →

Figure 1 in The impact of wheat resistance and bio-rational insecticides toxicity against cherry-oat aphid, Rhopalosiphum padi L. (Hemiptera: Aphididae)

Figure 1: Rhopalosiphum padi preference at various time intervals and varieties. Each value is the mean of five replications. *Mean followed by the same letter do not differ significantly at p = 0.05

Fig. 3 in Rapid detection of insecticide resistance in Diaphorina citri (Hemiptera: Liviidae) populations, using a bottle bioassay

Fig. 3. Susceptibility of laboratory and field-collected populations of Diaphorina citri to imidacloprid tested at the diagnostic exposure time–concentration combination (A: Lake Alfred 1; B: Winter Garden; C: Lake Alfred 2; D: Frostproof; LB: laboratory strain, FL: Florida field population). Each bar represents mean ± SE. An asterisk (*) indicates significant difference between laboratory and field population at a time period based on a Bonferroni test (P ≤ 0.05).

Fig. 2 in Rapid detection of insecticide resistance in Diaphorina citri (Hemiptera: Liviidae) populations, using a bottle bioassay

Fig. 2. Susceptibility of laboratory and field-collected populations of Diaphornia citri to dimethoate tested at the diagnostic exposure time–concentration combination (A: Lake Alfred 1; B: Winter Garden; C: Lake Alfred 2; D: Frostproof; LB: laboratory strain, FL: Florida field population). Each bar represents mean ± SE. An asterisk (*) indicates significant difference between laboratory and field population based on a Bonferroni test (P ≤ 0.05).

Fig. 1 in Rapid detection of insecticide resistance in Diaphorina citri (Hemiptera: Liviidae) populations, using a bottle bioassay

Fig. 1. Susceptibility of laboratory and field-collected populations of Diaphorina citri of bifenthrin tested at the diagnostic exposure time–concentration combination (A: Lake Alfred 1; B: Winter Garden; C: Lake Alfred 2; D: Frostproof;LB:laboratory strain, FL: Florida field population). Each bar represents mean ± SE.An asterisk (*) indicates significant difference between laboratory and field population at a time period based on a Bonferroni test (P ≤ 0.05).

Fig. 4 in Rapid detection of insecticide resistance in Diaphorina citri (Hemiptera: Liviidae) populations, using a bottle bioassay

Fig. 4. Susceptibility of laboratory and field-collected populations of Diaphorina citri to fenpropathrin tested at the diagnostic exposure time–concentration combination (A: Lake Alfred 1; B: Winter Garden; C: Lake Alfred 2; Frostproof; LB: Laboratory strain, FL: Florida Field strain). Each bar represents mean ± SE. An asterisk (*) indicates significant difference between laboratory and field population at a time period based on a Bonferroni test (P ≤ 0.05).

Figure 3 in Insecticide resistance of Stegomyia aegypti (Diptera: Culicidae) population from Paranaguá a port city in southern Brazil

Figure 3. Relative gene expression of the (A) acetylcholinesterase (ace-1), (B) α-esterase (CCEae3A), and (C) cytochrome P 450 (CYP6N12) genes in S. aegypti females. C1_R: Rockefeller control group (n=10); C2_Pr: Paranaguá control group (n=14); C3_Pr: Paranaguá solvent control group (n=10); T1: Paranaguá resistant females after exposure to malathion at a concentration of 3.41% (n=24). Data are presented as median ± interquartile range. Different letters indicate significant difference at p <0.05, according to Dunn's post hoc tests.

Figure 2 in Insecticide resistance of Stegomyia aegypti (Diptera: Culicidae) population from Paranaguá a port city in southern Brazil

Figure 2. Mortality curve showing the upper and lower limits for each concentration of malathion exposure for S. aegypti of the Rockefeller strain.

Figure 1 in Insecticide resistance of Stegomyia aegypti (Diptera: Culicidae) population from Paranaguá a port city in southern Brazil

Figure 1. (A) Location of the city of Paranaguá, and (B) location of ovitraps containing the eggs obtained during the June 2018 monitoring cycle in the city. Colors depict the representativeness of each point in the establishment of the S. aegypti insectary used to obtain the F and F generations.

opencc-by-4.0Dec 2015View details →

Fig. 3 in Contrasting patterns of insecticide resistance and knockdown resistance (kdr) in Aedes aegypti populations from Jacarezinho (Brazil) after a Dengue Outbreak

Fig. 3. Allelic frequencies of 1016Val and 1016Ile in the Nav of A.aegypti populations from Jacarezinho in 2011 and 2012. Besides, the allelic frequencies of the Val1016Ile mutation by regions (Region I–IV) for 2012 are presented.

opencc-by-4.0Dec 2015View details →

Fig. 2 in Contrasting patterns of insecticide resistance and knockdown resistance (kdr) in Aedes aegypti populations from Jacarezinho (Brazil) after a Dengue Outbreak

Fig. 2. Jacarezinho map shows the collection sites by regions in the urban area used for the analysis of the Val1016Ile mutation in 2012. Additionally, the main roads that cross Jacarezinho are presented.

Figure 5 in First report on mild insecticide resistance in newly established Aegean Aedes albopictus populations of Turkey

Figure 5. Mortality rates against fenitrothion in Aedes albopictus populations of the Aegean region (Mean ± S.E. Same lower case letters above error bars indicates nonsignificant difference at p> 0.05 based on the ANOVA results followed by Tukey's HSD test).

Figure 6 in First report on mild insecticide resistance in newly established Aegean Aedes albopictus populations of Turkey

Figure 6. Mortality rates against permethrin in Aedes albopictus populations of the Aegean region (Mean ± S.E. Same lower case letters above error bars indicates nonsignificant difference at p> 0.05 based on the ANOVA results followed by Tukey's HSD test).

Figure 4 in First report on mild insecticide resistance in newly established Aegean Aedes albopictus populations of Turkey

Figure 4. Mortality rates against bendiocarb in Aedes albopictus populations of the Aegean region (Mean ± S.E. Same lower case letters above error bars indicates nonsignificant difference at p> 0.05 based on the ANOVA results followed by Tukey's HSD test).

Figure 3 in First report on mild insecticide resistance in newly established Aegean Aedes albopictus populations of Turkey

Figure 3. Mortality rates against propoxur in Aedes albopictus populations of the Aegean region (Mean ± S.E. Same lower case letters above error bars indicates nonsignificant difference at p> 0.05 based on the ANOVA results followed by Tukey's HSD test).

Figure 2 in First report on mild insecticide resistance in newly established Aegean Aedes albopictus populations of Turkey

Figure 2. Mortality rates against DDT in Aedes albopictus populations of the Aegean region (Mean ± S.E. Same lower case letters above error bars indicates nonsignificant difference at p> 0.05 based on the ANOVA results followed by Tukey's HSD test).

opencc-by-4.0Jul 2021View details →

Simulation Results Data for 'Modelling new insecticide-treated bed nets for malaria-vector control: How to strategically manage resistance?'

GENERAL INFORMATION 1. Title of Dataset: Simulation Results Data for 'Modelling new insecticide-treated bed-nets for malaria-vector control: How to strategically manage resistance?' 2. Author Information     A. Investigator Contact Information         Name: Philip G. Madgwick         Institution: Syngenta          Address: Jealott’s Hill International Research Centre, Bracknell, RG42 6EY, UK         Email: philip.madgwick@syngenta.com     B. Investigator Contact Information         Name: Ricardo Kanitz         Institution: Syngenta          Address: Syngenta Crop Protection, Rosentalstrasse 67, CH-4058 Basel, Switzerland         Email: ricardo.kanitz@syngenta.com 3. Date of data collection (single date, range, approximate date): 2021-01-13 to 2021-02-01  4. Geographic location of data collection: UK  5. Information about funding sources that supported the collection of the data:  This work was conducted during a postdoctoral research position for PGM funded by the Innovative Vector Control Consortium (IVCC). SHARING/ACCESS INFORMATION 1. Licenses/restrictions placed on the data: NA 2. Links to publications that cite or use the data: [UPDATE] 3. Links to other publicly accessible locations of the data: NA 4. Links/relationships to ancillary data sets: NA 5. Was data derived from another source? No 6. Recommended citation for this dataset: [UPDATE] DATA & FILE OVERVIEW 1. File List:  PSData_random6.csv - 10^6 random samples of each of the 17 parameters in the model, where rows are samples and columns are parameters (with column names corresponding to the parameters identified in the rows of Table 1 of the manuscript; see also DATA-SPECIFIC INFORMATION) Data_random6_maxpsMixture_Fixed_mm.csv - simulation dataset of 10^6 runs for each set of randomly sampled parameters; insecticide A and B are used in a mixture (at rate k=1; see manuscript) as a fixed strategy for the entire run; the resistance allele at locus 1 has mitochondrial inheritance and the resistance allele at locus 2 has mitochondrial inheritance   Data_random6_maxpsMixture_Fixed_mn.csv - simulation dataset of 10^6 runs for each set of randomly sampled parameters; insecticide A and B are used in a mixture (at rate k=1; see manuscript) as a fixed strategy for the entire run; the resistance allele at locus 1 has mitochondrial inheritance and the resistance allele at locus 2 has nuclear inheritance   Data_random6_maxpsMixture_Fixed_nn.csv - simulation dataset of 10^6 runs for each set of randomly sampled parameters; insecticide A and B are used in a mixture (at rate k=1; see manuscript) as a fixed strategy for the entire run; the resistance allele at locus 1 has nuclear inheritance and the resistance allele at locus 2 has nuclear inheritance   Data_random6_Mixture_Fixed_mm.csv - simulation dataset of 10^6 runs for each set of randomly sampled parameters; insecticide A and B are used in a mixture (at rate k; see manuscript) as a fixed strategy for the entire run; the resistance allele at locus 1 has mitochondrial inheritance and the resistance allele at locus 2 has mitochondrial inheritance   Data_random6_Mixture_Fixed_mn.csv - simulation dataset of 10^6 runs for each set of randomly sampled parameters; insecticide A and B are used in a mixture (at rate k; see manuscript) as a fixed strategy for the entire run; the resistance allele at locus 1 has mitochondrial inheritance and the resistance allele at locus 2 has nuclear inheritance   Data_random6_Mixture_Fixed_nn.csv - simulation dataset of 10^6 runs for each set of randomly sampled parameters; insecticide A and B are used in a mixture (at rate k; see manuscript) as a fixed strategy for the entire run; the resistance allele at locus 1 has nuclear inheritance and the resistance allele at locus 2 has nuclear inheritance   Data_random6_Mosaic_Fixed_mm.csv - simulation dataset of 10^6 runs for each set of randomly sampled parameters; insecticide A and B are used at 50% frequency each as a fixed strategy for the entire run; the resistance allele at locus 1 has mitochondrial inheritance and the resistance allele at locus 2 has mitochondrial inheritance   Data_random6_Mosaic_Fixed_mn.csv - simulation dataset of 10^6 runs for each set of randomly sampled parameters; insecticide A and B are used at 50% frequency each as a fixed strategy for the entire run; the resistance allele at locus 1 has mitochondrial inheritance and the resistance allele at locus 2 has nuclear inheritance   Data_random6_Mosaic_Fixed_nn.csv - simulation dataset of 10^6 runs for each set of randomly sampled parameters; insecticide A and B are used at 50% frequency each as a fixed strategy for the entire run; the resistance allele at locus 1 has nuclear inheritance and the resistance allele at locus 2 has nuclear inheritance   Data_random6_Rotation_Fixed_mm.csv - simulation dataset of 10^6 runs for each set of randomly sampled parameters; insecticide A is used first in a rotation that switch between insecticides every 36 generations as a fixed strategy for the entire run; the resistance allele at locus 1 has mitochondrial inheritance and the resistance allele at locus 2 has mitochondrial inheritance   Data_random6_Rotation_Fixed_mn.csv - simulation dataset of 10^6 runs for each set of randomly sampled parameters; insecticide A is used first in a rotation that switch between insecticides every 36 generations as a fixed strategy for the entire run; the resistance allele at locus 1 has mitochondrial inheritance and the resistance allele at locus 2 has nuclear inheritance   Data_random6_Rotation_Fixed_nn.csv - simulation dataset of 10^6 runs for each set of randomly sampled parameters; insecticide A is used first in a rotation that switch between insecticides every 36 generations as a fixed strategy for the entire run; the resistance allele at locus 1 has nuclear inheritance and the resistance allele at locus 2 has nuclear inheritance   Data_random6_Rotation_Fixed_revmm.csv - simulation dataset of 10^6 runs for each set of randomly sampled parameters; insecticide B is used first in a rotation that switch between insecticides every 36 generations as a fixed strategy for the entire run; the resistance allele at locus 1 has mitochondrial inheritance and the resistance allele at locus 2 has mitochondrial inheritance   Data_random6_Rotation_Fixed_revmn.csv - simulation dataset of 10^6 runs for each set of randomly sampled parameters; insecticide B is used first in a rotation that switch between insecticides every 36 generations as a fixed strategy for the entire run; the resistance allele at locus 1 has mitochondrial inheritance and the resistance allele at locus 2 has nuclear inheritance   Data_random6_Rotation_Fixed_revnn.csv - simulation dataset of 10^6 runs for each set of randomly sampled parameters; insecticide B is used first in a rotation that switch between insecticides every 36 generations as a fixed strategy for the entire run; the resistance allele at locus 1 has nuclear inheritance and the resistance allele at locus 2 has nuclear inheritance   Data_random6_SoloA_Fixed_mm.csv - simulation dataset of 10^6 runs for each set of randomly sampled parameters; insecticide A is used solo as a fixed strategy for the entire run; the resistance allele at locus 1 has mitochondrial inheritance and the resistance allele at locus 2 has mitochondrial inheritance   Data_random6_SoloA_Fixed_mn.csv - simulation dataset of 10^6 runs for each set of randomly sampled parameters; insecticide A is used solo as a fixed strategy for the entire run; the resistance allele at locus 1 has nuclear inheritance and the resistance allele at locus 2 has mitochondrial inheritance   Data_random6_SoloA_Fixed_nn.csv - simulation dataset of 10^6 runs for each set of randomly sampled parameters; insecticide A is used solo as a fixed strategy for the entire run; the resistance allele at locus 1 has nuclear inheritance and the resistance allele at locus 2 has nuclear inheritance   Data_random6_SoloB_Fixed_mm.csv - simulation dataset of 10^6 runs for each set of randomly sampled parameters; insecticide B is used solo as a fixed strategy for the entire run; the resistance allele at locus 1 has mitochondrial inheritance and the resistance allele at locus 2 has mitochondrial inheritance   Data_random6_SoloB_Fixed_mn.csv - simulation dataset of 10^6 runs for each set of randomly sampled parameters; insecticide B is used solo as a fixed strategy for the entire run; the resistance allele at locus 1 has nuclear inheritance and the resistance allele at locus 2 has mitochondrial inheritance   Data_random6_SoloB_Fixed_nn.csv - simulation dataset of 10^6 runs for each set of randomly sampled parameters; insecticide B is used solo as a fixed strategy for the entire run; the resistance allele at locus 1 has nuclear inheritance and the resistance allele at locus 2 has nuclear inheritance   2. Relationship between files, if important:  Files are named in accordance with the variables that describe each simulation setup, as described above. Each simulation dataset has 10^6 runs that correspond to the 10^6 random samples of each of the 17 parameters in the model in 'PSData_random6.csv'. 3. Additional related data collected that was not included in the current data package: NA 4. Are there multiple versions of the dataset? No METHODOLOGICAL INFORMATION 1. Description of methods used for collection/generation of data: Data were collected using Simulator.R, which is in the vignettes of the 'detsims' R package that accompanies the manuscript.  2. Methods for processing the data: Data were processed using Figures.R, which is in the vignettes of the 'detsims' R package that accompanies the manuscript.  3. Instrument- or software-specific information needed to interpret the data: Analysis was conducted in R version 4.0.3 (2020-10-10), using R packages identified in Figures.R, which is in the vignettes of the 'detsims' R package that accompanies the manuscript.  4. Standards and calibration information, if appropriate: NA 5. Environmental/experimental conditions: NA 6. Describe any quality-assurance procedures performed on the data: NA 7. People involved with sample collection, processing, analysis and/or submission: NA  DATA-SPECIFIC INFORMATION FOR: PSData_random6.csv 1. Number of variables:  17 variables with column names that have the following parameter meanings (see Table 1 in the manuscript):  Population Size    = N = starting population size (and carrying capacity in logistic model); random sample range on log-scale: 10^2 - 10^9 Intrinsic Birth Rate = b = % population growth rate (in logistic model); random sample following a standard log-normal distribution with mean=0 and sd=1 Intrinsic Death Rate = d = % breeding mosquitoes that die into next generation; random sample range: 0 - 1 Female Exposure    = x_[female-symbol] = % female mosquitoes that receive a dose; random sample range: 0 - 1 Male Exposure x_[male-symbol] = % male mosquitoes that receive a dose; random sample range: 0 - 1 Initial Frequency A = f_0,A = starting frequency of allele A; random sample range on log-scale: 10^-9 - 10^-2, limited to be within the range 1/N - N/100 where N is Population Size Effectiveness 1    = m_1 = % dosed mosquitoes that die from insecticide 1; random sample range: 0 - 1 Resistance Restoration A = r_A = % return to baseline fitness with resistance allele A; random sample range: 0 - 1 Dominance of Resistance Restoration A = h^r_A = % resistance restoration in heterozygote with allele A; random sample range: 0 - 1 Resistance Cost A = c_A = % non-dosed mosquitoes that die from carrying allele A; random sample range on log-scale: 10^-3 - 10^-0.5 Dominance of Resistance Cost A = h^c_A = % resistance cost in heterozygote with allele A; random sample range: 0 - 1 Initial Frequency B = f_0,B = starting frequency of allele B; random sample range on log-scale: 10^-9 - 10^-2, limited to be within the range 1/N - N/100 where N is Population Size Effectiveness 2    = m_2 = % dosed mosquitoes that die from insecticide 2; random sample range: 0 - 1 Resistance Restoration B = r_B = % return to baseline fitness with resistance allele B; random sample range: 0 - 1 Dominance of Resistance Restoration B = h^r_B = % resistance restoration in heterozygote with allele B; random sample range: 0 - 1 Resistance Cost B = c_B = % non-dosed mosquitoes that die from carrying allele B; random sample range on log-scale: 10^-3 - 10^-0.5 Dominance of Resistance Cost B = h^c_B = % resistance cost in heterozygote with allele B; random sample range: 0 - 1 2. Number of cases/rows:  10^6, corresponding to the number of random samples  3. Variable List: NA  4. Missing data codes: NA 5. Specialized formats or other abbreviations used: NA DATA-SPECIFIC INFORMATION FOR: all other dataset files (e.g. Data_random6_maxpsMixture_Fixed_mm.csv)  1. Number of variables:  10 variables with column names that have the following meanings: A_t_50% = the recorded number of generations that it takes for resistance allele A to reach >50% frequency; 0 means that resistance allele A never reaches >50% frequency   A_f_250 = the frequency of resistance allele A at the 250th generation  A_f_bar = the mean frequency of resistance allele A over the first 250 generations   B_t_50% = the recorded number of generations that it takes for resistance allele B to reach >50% frequency; 0 means that resistance allele B never reaches >50% frequency   B_f_250 = the frequency of resistance allele B at the 250th generation  B_f_bar = the mean frequency of resistance allele B over the first 250 generations  nf_80% = the recorded number of generations that it takes for the female population size to recover to >80% of its original size in the 0th generation; 0 means that the female population size never reaches >80% recovery; 1 means that the female population size never drops below 80% of its original size in the 1st generation nf_250 = the female population size at the 250th generation nf_bar = the mean female population size over the first 250 generations  nf_ext = the recorded number of generations that it takes for the female population size to drop below 1 (i.e. population extinction); 0 means that female population size never reaches <1 2. Number of cases/rows:  10^6, corresponding to the number of random samples  3. Variable List: NA 4. Missing data codes: all missing data is recorded as 0  5. Specialized formats or other abbreviations used: NA

Insecticide resistance triggers a reduction of virulence to host-plant defenses in the brown planthopper

This dataset contains R scripts to analyze the virulence of resistance rice cultivars and to draw figures. Data contains the LD50 values of imidacloprid, virulence test and figure data. This study was supported by grants-in-aid from Japan's National Agriculture and Food Research Organization (NARO) project 315 and the NARO Innovation Project 2017 for the NARO.