Monitoring the current status of insecticide resistance of field and greenhouse-collected populations of tomato leaf miner Tuta absoluta Meyrick (Lepidoptera: Gelechiidae) in Egypt

Embracing smart irrigation management techniques empowers growers to irrigate with greater efficiency, thereby promoting sustainable agricultural production. In this context, growers often rely on crop evapotranspiration (ETc) as a key factor in making informed irrigation decisions, underscoring the significance of accurately determining and spatially mapping crop water status. Technological progress, exemplified by the emergence of unmanned aerial vehicles (UAVs), has brought about a revolutionary shift in agricultural monitoring. UAV platforms can capture high-resolution images with centimeter-level spatial accuracy and offer higher temporal coverage compared to satellite imagery. Considering these advancements, this study introduces a robust method for classifying water stress in cotton using a compact UAV platform and convolutional neural networks (CNN). The experiment was conducted at the USDA-ARS Cropping Systems Research Laboratory (CSRL) in Lubbock, Texas, where the cotton field was divided into 12 drip zones. The study included three replications to evaluate four irrigation treatments: “rainfed”, “full irrigation”, “percent deficit of full irrigation”, and “time delay of full irrigation”. The results demonstrated that the CNN model successfully classified the cotton water stress using the UAV-based RGB image, achieving an overall best prediction accuracy of approximately 91%. By segmenting the original cotton images into separate canopy and soil areas using morphological image processing methods, the authors also isolated and analyzed the individual contributions of these components to cotton water stress. Additionally, a random forest classifier revealed the relative importance of different image features in the classification process through feature importance analysis. These findings highlighted the state-of-the-art performance of the proposed system in cotton water stress classification and provided valuable insights into the key image features contributing to accurate classification. The authors concluded that integrating UAV-based RGB imagery and CNN models had great potential for assessing water stress in cotton.

A new approach to measure spatial variability of soil parameters and field technique to test-value specific fertilizer

Information on the distribution of soil properties is important to know the status of nutrients in the soils based on which fertilizer nutrients are recommended. Given the variability of nutrients in the soils, making a site-specific fertilizer recommendation seems to be a compelling work. To determine the spatial variability of soil nutrients and to make judicious and precise fertilizer recommendations, new measures are designed with this study. These measures are tested against the soil samples (n = 43) for total nitrogen (N), organic matter (OM), phosphorus (P2O5), and potassium (K2O) in the study area. The descriptive statistical analysis indicated an average of low nitrogen and organic matter, while phosphorus was found to be very high and the level of potassium was high. The spread of nutrients across the data sets, however, included low, medium, high, and very high levels of ratings. The Deviation Square Index was developed and applied for the variability measurement and found that the largest variation was with phosphorus distribution, followed by potassium, nitrogen, and organic matter. The coefficient of variation (CV%) analysis also exhibited similar trends in nutrient distributions. Nitrogen was the main determinant explaining the variations in rice yield, while phosphorus and potash were negatively related to the yield. An index of fertilizer nutrient recommendation called Test-Value Specific Dose (TVSD) was developed and used to calculate the nutrient recommendation for each sampled location. This new method gave easy and more accurate doses of fertilizer over the blanket recommendation to fit the variations across the soil samples.

Monitoring the current status of insecticide resistance of field and greenhouse-collected populations of tomato leaf miner Tuta absoluta Meyrick (Lepidoptera: Gelechiidae) in Egypt

Hanan Salah El-Din Taha

Article ID: 3054
Vol 6, Issue 1, 2025

DOI: https://doi.org/10.54517/ama3054

Received: 11 November 2024; Accepted: 23 December 2024; Available online: 8 January 2025; Issue release: 31 March 2025

Download PDF

Abstract

In order to track changes in developments and the degree of insecticide resistance, some common insecticides used to control T. absoluta in Egyptian fields were examined for seasonal variations in resistance. Tests were designed and tested for a few years at various field sample and greenhouse locations. Ten pesticides were selected for testing, and insects were sampled from eight agricultural fields for the laboratory bioassay. The identification and measurement of resistance in various field populations, seasons, and greenhouses revealed that insects were highly vulnerable to the IGR insecticide tested and only mildly susceptible to OP, Py, carbamate, and nicotinoids. Kalubia and Menufia showed more resistance in terms of both distribution and intensity than Dakahlia, Sharkia, and Giza, which showed lower resistance levels, possibly due to less effective insecticide applications. However, lufenuron was the most effective insecticide, followed by chlorfenapyr (IGRs), methoxyfenzoid, chlorfluazuron, indoxacarb, imidacloprid, cypermethrin, and chlorpyrifos. Dimethoate and spinoteram were the least effective insecticides.

Keywords

insecticide resistance; Tuta absoluta; seasonal variation; Egyptian governorates

References

1. Taskin BG, Dogaroglu T, Kilic S, et al. Seasonal dynamics of insecticide resistance, multiple resistance, and morphometric variation in field populations of Culex pipiens. Pesticide Biochemistry and Physiology. 2016; 129: 14–27. doi: 10.1016/j.pestbp.2015.10.012

2. Tayeb ESH, Saad AEFA, Elbialy Mahmoud A. Insecticides and Their Mixtures for Controlling Tuta Absoluta Infesting Tomato under Egyptian Field Conditions. Alexandria Science Exchange Journal. 2018; 39(2): 215–222. doi: 10.21608/asejaiqjsae.2018.6814

3. Mansour R, Brévault T, Chailleux A, et al. Occurrence, biology, natural enemies and management of Tuta absoluta in Africa. Entomologia Generalis. 2018; 38(2): 83–112. doi: 10.1127/entomologia/2018/0749

4. Cely PL, Cantor F, Rodríguez D. Determination of levels of damage caused by different densities of Tuta absoluta populations (Lepidoptera: Gelechiidae) under greenhouse conditions. Agronomía Colombiana. 2010; 28(3): 401–411.

5. Arnó J, Gabarra R. Side effects of selected insecticides on the Tuta absoluta (Lepidoptera: Gelechiidae) predators Macrolophus pygmaeus and Nesidiocoris tenuis (Hemiptera: Miridae). Journal of Pest Science. 2011; 84(4): 513–520. doi: 10.1007/s10340-011-0384-z

6. Galdino TVS, Picanco MC, Ferreira DO, et al. Is the performance of a specialist herbivore affected by female choices and the adaptability of the offspring? PloS One. 2015; 10(11): 1–18. doi: 10.1371/journal. pone.0143389

7. Guedes RNC, Picanço MC. The tomato borer Tuta absoluta in South America: pest status, management and insecticide resistance. EPPO Bulletin. 2012; 42(2): 211–216. doi: 10.1111/epp.2557

8. Moussa S, Sharma A, Baiomy F, et al. The Status of Tomato Leafminer; Tuta absoluta (Meyrick) (Lepidoptera: Gelechiidae) in Egypt and Potential Effective Pesticides. Academic Journal of Entomology. 2013; 6(3): 110–115. doi: 10.5829/idosi.aje.2013.6.3.75130

9. Silva GA, Picanço MC, Bacci L, et al. Control failure likelihood and spatial dependence of insecticide resistance in the tomato pinworm, Tuta absoluta. Pest Management Science. 2011; 67(8): 913–920. doi: 10.1002/ps.2131

10. Silva WM, Berger M, Bass C, et al. Status of pyrethroid resistance and mechanisms in Brazilian populations of Tuta absoluta. Pesticide Biochemistry and Physiology. 2015; 122: 8–14. doi: 10.1016/j.pestbp.2015.01.011

11. Nozad-Bonab Z, Hejazi MJ, Iranipour Sh, et al. Lethal and Sublethal Effects of Some Chemical and Biological Insecticides on Tuta absoluta (Lepidoptera: Gelechiidae) Eggs and Neonates. Journal of Economic Entomology. 2017; 110(3): 1138–1144. doi: 10.1093/jee/tox079

12. Campos MR, Rodrigues ARS, Silva WM, et al. Spinosad and the Tomato Borer Tuta absoluta: A Bioinsecticide, an Invasive Pest Threat, and High Insecticide Resistance. PLoS ONE. 2014; 9(8): e103235. doi: 10.1371/journal.pone.0103235

13. Roditakis E, Vasakis E, Grispou M, et al. First report of Tuta absoluta resistance to diamide insecticides. Journal of Pest Science. 2015; 88(1): 9–16. doi: 10.1007/s10340-015-0643-5

14. Gontijo PC, Picanço MC, Pereira EJG, et al. Spatial and temporal variation in the control failure likelihood of the tomato leaf miner, Tuta absoluta. Annals of Applied Biology. 2012; 162(1): 50–59. doi: 10.1111/aab.12000

15. Hribar LJ, Boehmler MB, Murray HL, et al. Mosquito Surveillance and Insecticide Resistance Monitoring Conducted by the Florida Keys Mosquito Control District, Monroe County, Florida, USA. Insects. 2022; 13: 927. doi: 10.3390/ insects13100927

16. Yainna S, Nègre N, Silvie PJ, et al. Geographic Monitoring of Insecticide Resistance Mutations in Native and Invasive Populations of the Fall Armyworm. Insects. 2021; 12(5): 468. doi: 10.3390/insects12050468

17. Lopez‐Monroy B, Gutierrez‐Rodriguez SM, Villanueva‐Segura OK, et al. Frequency and intensity of pyrethroid resistance through the CDC bottle bioassay and their association with the frequency of kdr mutations in Aedes aegypti (Diptera: Culicidae) from Mexico. Pest Management Science. 2018; 74(9): 2176–2184. doi: 10.1002/ps.4916

18. Reyes M, Rocha K, Alarcón L, et al. Metabolic mechanisms involved in the resistance of field populations of Tuta absoluta (Meyrick) (Lepidoptera: Gelechiidae) to spinosad. Pesticide Biochemistry and Physiology. 2012; 102(1): 45–50. doi: 10.1016/j.pestbp.2011.10.008

19. Hassan ESM, Mesbah II, Ali FA, et al. Prevalence, population dynamics and associated natural enemies of Tomato Leafminer, Tuta absoluta, in Egypt. International Journal of Tropical Insect Science. 2021; 42(1): 143–162. doi: 10.1007/s42690-021-00526-3

20. Finney DJ. Probit analysis, 3rd ed. Cambridge unio press; 1971.

21. Abbott WS. A Method of Computing the Effectiveness of an Insecticide. Journal of Economic Entomology. 1925; 18(2): 265–267. doi: 10.1093/jee/18.2.265a

22. Russell RM, Robertson JL, Savin NE. POLO: A New Computer Program for Probit Analysis. Bulletin of the Entomological Society of America. 1977; 23(3): 209–213. doi: 10.1093/besa/23.3.209

23. Robertson JL, Preisler HK. Pesticide bioassays with arthropods. CRC Press; 1992.

24. Larraín P, Escudero C, Morre J, et al. Insecticide effect of cyantraniliprole on tomato moth Tuta absoluta Meyrick (Lepidoptera: Gelechiidae) larvae in field trials. Chilean journal of agricultural research. 2014; 74(2): 178–183. doi: 10.4067/s0718-58392014000200008

25. De Smedt C, Van Damme V, De Clercq P, et al. Insecticide Effect of Zeolites on the Tomato Leafminer Tuta absoluta (Lepidoptera: Gelechiidae). Insects. 2016; 7(4): 72. doi: 10.3390/insects7040072

26. Mikhail W, Sobhy H, Gaffar S, et al. Evaluation Effectiveness of Some Insecticides in Controlling Tomato Leafminer, Tuta. absoluta in the Lab. Egyptian Academic Journal of Biological Sciences, F Toxicology & Pest Control. 2016; 8(2): 51–61. doi: 10.21608/eajbsf.2016.17118

27. Jin JX, Jin DC, Li WH, et al. Monitoring Trends in Insecticide Resistance of Field Populations of Sogatella furcifera (Hemiptera: Delphacidae) in Guizhou Province, China, 2012–2015. Journal of Economic Entomology. 2017; 110(2): 641–650. doi: 10.1093/jee/tox027

28. Devillers J, David JP, Barrès B, et al. Integrated Plan of Insecticide Resistance Surveillance in Mosquito Vectors in France. Insects. 2023; 14(5): 457. doi: 10.3390/insects14050457

29. Erdogan C, Toprak U, Gurkan MO. Biochemical and molecular analyses of insecticide resistance in greenhouse populations of Bemisia tabaci (Hemiptera: Aleyrodidae) in Türkiye. Phytoparasitica. 2024; 52(2). doi: 10.1007/s12600-024-01155-5

30. Lietti MMM, Botto E, Alzogaray RA. Insecticide resistance in Argentine populations of Tuta absoluta (Meyrick) (Lepidoptera: Gelechiidae). Neotropical Entomology. 2005; 34(1): 113–119. doi: 10.1590/s1519-566x2005000100016

31. Guillemaud T, Blin A, Le Goff I, et al. The tomato borer, Tuta absoluta, invading the Mediterranean Basin, originates from a single introduction from Central Chile. Scientific Reports. 2015; 5(1). doi: 10.1038/srep08371

32. Santos AC, Freitas Bueno RCO, Vieira SS, et al. Efficiency of insecticides on Tuta absoluta (Meyrick) and other tomato pests. Bioassay. 2011; 6(0). doi: 10.14295/ba.v6.0.81

33. Giorgini M, Guerrieri E, Cascone P, et al. Current Strategies and Future Outlook for Managing the Neotropical Tomato Pest Tuta absoluta (Meyrick) in the Mediterranean Basin. Neotropical Entomology. 2018; 48(1): 1–17. doi: 10.1007/s13744-018-0636-1

34. Han P, Zhang Y, Lu Z, et al. Are we ready for the invasion of Tuta absoluta? Unanswered key questions for elaborating an Integrated Pest Management package in Xinjiang, China. Entomologia Generalis. 2018; 38(2): 113–125. doi: 10.1127/entomologia/2018/0739

35. Silva GA, Queiroz EA, Arcanjo LP, et al. Biological performance and oviposition preference of tomato pinworm Tuta absoluta when offered a range of Solanaceous host plants. Scientific Reports. 2021; 11(1). doi: 10.1038/s41598-020-80434-7

36. Karut K, Kazak C, Döker I, et al. Pest status and prevalence of tomato moth Tuta absoluta (Meyrick 1917) (Lepidoptera: Gelechiidae) in tomato growing greenhouses of Mersin. Turkish journal of entomology. 2011; 35: 339–347.

37. Samake JN, Yared S, Hassen MA, et al. Insecticide resistance and population structure of the invasive malaria vector, Anopheles stephensi, from Fiq, Ethiopia. Scientific Reports. 2024; 14(1). doi: 10.1038/s41598-024-78072-4

38. Kishore Reddy BK, Sadhineni M, Johnson M, et al. Evaluation of Insecticides against Pin Worm Tuta absoluta (Meyrick) on Tomato. Indian Journal of Entomology. 2024: 1–3. doi: 10.55446/ije.2024.1689

39. Van Damme V, Berkvens N, Moerkens R, et al. Overwintering potential of the invasive leafminer Tuta absoluta (Meyrick) (Lepidoptera: Gelechiidae) as a pest in greenhouse tomato production in Western Europe. Journal of Pest Science. 2014; 88(3): 533–541. doi: 10.1007/s10340-014-0636-9

Refbacks

There are currently no refbacks.

This site is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).

Editor-in-Chief

Prof. Zhengjun Qiu

Zhejiang University, China

Honorary Editor-in-Chief

Cheng Sun

Academician of World Academy of Productivity Science; Executive Chairman, World Confederation of Productivity Science China Chapter, China

Indexing & Archiving

News & Announcements

2024-09-11

Smart agriculture is becoming a reality!

Modern agricultural technology is evolving rapidly, with scientists collaborating with leading agricultural enterprises to develop intelligent management practices. These practices utilize advanced systems that provide tailored fertilization and treatment options for large-scale land management.

2024-05-01

Notice on the prohibition of using AI techniques to generate papers!

This journal values human initiative and intelligence, and the employment of AI technologies to write papers that replace the human mind is expressly prohibited. When there is a suspicious submission that uses AI tools to quickly piece together and generate research results, the editorial board of the journal will reject the article, and all journals under the publisher's umbrella will prohibit all authors from submitting their articles.

Readers and authors are asked to exercise caution and strictly adhere to the journal's policy regarding the usage of Artificial Intelligence Generated Content (AIGC) tools.

More Announcements...

Journal Center

Asia Pacific Academy of Science Pte. Ltd. (APACSCI) specializes in international journal publishing. APACSCI adopts the open access publishing model and provides an important communication bridge for academic groups whose interest fields include engineering, technology, medicine, computer, mathematics, agriculture and forestry, and environment.

more

Article Tools

Indexing metadata

How to cite item

Review policy