BM_2024v15n4

Bioscience Methods 2024, Vol.15, No.4, 196-206 http://bioscipublisher.com/index.php/bm 2 06 Llandres A., Almohamad R., Brévault T., Renou A., Téréta I., Jean J., and Goebel F., 2018, Plant training for induced defense against insect pests: a promising tool for integrated pest management in cotton, Pest Management Science, 74(9): 2004-2012. https://doi.org/10.1002/ps.5039 Ma W., and Zhang T., 2018, Next-generation transgenic cotton: pyramiding RNAi with Bt counters insect resistance, Methods in Molecular Biology, 1902: 245-256. https://doi.org/10.1007/978-1-4939-8952-2_21 Razzaq A., Zafar M., Ali A., Li P., Qadir F., Zahra L., Shaukat F., Laghari A., Yuan Y., and Gǒng W., 2023, Biotechnology and solutions: insect-pest-resistance management for improvement and development of Bt cotton (Gossypium hirsutum L.), Plants, 12(23): 4071. https://doi.org/10.3390/plants12234071 Rocha-Munive M., Soberón M., Castañeda S., Niaves E., Scheinvar E., Eguiarte L., Mota-Sánchez D., Rosales-Robles E., Nava-Camberos U., Martínez-Carrillo J., Blanco C., Bravo A., and Souza V., 2018, Evaluation of the impact of genetically modified cotton after 20 years of cultivation in Mexico, Frontiers in Bioengineering and Biotechnology, 6: 82. https://doi.org/10.3389/fbioe.2018.00082 Romeis J., Naranjo S., Meissle M., and Shelton A., 2019, Genetically engineered crops help support conservation biological control, Biological Control, 130: 136-154. https://doi.org/10.1016/J.BIOCONTROL.2018.10.001 Rowen E., Pearsons K., Smith R., Wickings K., and Tooker J., 2022, Early season plant cover supports more effective pest control than insecticide applications, Ecological Applications, 32(5): e2598. https://doi.org/10.1002/eap.2598 Toscano-Miranda R., Toro M., Aguilar J., Caro M., Marulanda A., and Trebilcok A., 2022, Artificial-intelligence and sensing techniques for the management of insect pests and diseases in cotton: a systematic literature review, The Journal of Agricultural Science, 160(1-2): 16-31. https://doi.org/10.1017/S002185962200017X Vanegas F., Bratanov D., Powell K., Weiss J., and Gonzalez F., 2018, A novel methodology for improving plant pest surveillance in vineyards and crops using UAV-Based hyperspectral and spatial data. sensors (Basel, Switzerland), 18(1): 260. https://doi.org/10.3390/s18010260 Veres A., Wyckhuys K., Kiss J., Tóth F., Burgio G., Pons X., Avilla C., Vidal S., Razinger J., Bažok R., Matyjaszczyk E., Milosavljević I., Le X., Zhou W., Zhu Z., Tarno H., Hadi B., Lundgren J., Bonmatin J., Lexmond M., Aebi A., Rauf A., and Furlan L., 2020, An update of the Worldwide Integrated Assessment (WIA) on systemic pesticides. Part 4: Alternatives in major cropping systems, Environmental Science and Pollution Research International, 27: 29867-29899. https://doi.org/10.1007/s11356-020-09279-x Wilson L., Whitehouse M., and Herron G., 2018, The management of insect pests in australian cotton: an evolving story, Annual Review of Entomology, 63(1): 215-237. https://doi.org/10.1146/annurev-ento-020117-043432 Xuan J., 2024, Advances in biological control methods for managing sugarcane insects, Molecular Entomology, 15(1): 23-31 https://doi.org/10.5376/me.2024.15.0004 Yan S., Ren B., Zeng B., and Shen J., 2020, Improving RNAi efficiency for pest control in crop species, Biotechniques, 68(5): 283-290. https://doi.org/10.2144/btn-2019-0171 Zhang X., and Wang S.J., 2024, The role of interspecific introgression in the adaptation of Gossypium species, Cotton Genomics and Genetics, 15(2): 93-102. https://doi.org/10.5376/cgg.2024.15.0009 Zhao G., Zhang Y., Lan Y., Deng J., Zhang Q., Zhang Z., Li Z., Liu L., Huang X., and Ma J., 2023, Application progress of UAV-LARS in identification of crop diseases and pests, Agronomy, 13(9): 2232. https://doi.org/10.3390/agronomy13092232 Zotti M., Santos E., Cagliari D., Christiaens O., Taning C., and Smagghe G., 2018, RNA interference technology in crop protection against arthropod pests, pathogens and nematodes, Pest Management Science, 74(6): 1239-1250. https://doi.org/10.1002/ps.4813

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