Influence of altitude on larval instar determination of Spodoptera frugiperda (Lepidoptera: Noctuidae) under high-mountain laboratory conditions | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Influence of altitude on larval instar determination of Spodoptera frugiperda (Lepidoptera: Noctuidae) under high-mountain laboratory conditions Humberto Giraldo-Vanegas¹, Sanly Natalia Núñez-García, Selena Marily Velásquez-López This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8876098/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 5 You are reading this latest preprint version Abstract The fall armyworm, Spodoptera frugiperda (J.E. Smith), is a globally invasive and highly polyphagous pest whose developmental biology has been predominantly characterized under lowland, warm-temperature conditions. However, knowledge of its larval development under tropical high-mountain environments remains limited. This study evaluated the effects of altitude-associated low temperature on larval development, instar number variability, and growth dynamics of S. frugiperda under controlled laboratory conditions representative of high-mountain agroecosystems. Larvae were reared at 17°C and 65% relative humidity, and head capsule widths were measured to determine larval instars and assess developmental plasticity. Larval development was markedly prolonged, instar overlap increased, and deviations from classical growth ratios were observed relative to low-altitude reports. A proportion of individuals exhibited supernumerary instars, indicating strong thermal plasticity. These findings demonstrate that altitude-related thermal constraints significantly modify larval development of S. frugiperda, with direct implications for instar determination, phenological modeling, and integrated pest management strategies in high-altitude tropical cropping systems. fall armyworm thermal plasticity larval instars altitude head capsule width phenology integrated pest management Figures Figure 1 Figure 2 Figure 3 Figure 4 Figure 5 1. Introduction Spodoptera frugiperda is one of the most economically important lepidopteran pests worldwide, affecting maize and more than 80 host plant species. Originally native to the Americas, it has rapidly expanded its geographic range to Africa, Asia, and Oceania, posing a serious threat to global food security. Most biological and ecological studies on S. frugiperda have been conducted under lowland tropical or subtropical conditions, where temperatures favor rapid development and high population growth rates. Altitude is a key ecological factor influencing insect development, primarily through its effects on temperature, oxygen availability, and host plant physiology. In tropical regions, high-mountain agroecosystems present markedly cooler conditions compared with lowland areas, potentially altering insect life-history traits. For S. frugiperda, whose development is strongly temperature-dependent, such environments may induce developmental delays, changes in instar number, and increased phenotypic plasticity. Larval instar determination based on head capsule width remains a fundamental tool in insect developmental studies and pest management. Accurate instar identification supports population modeling, timing of control measures, and interpretation of laboratory and field bioassays. Nevertheless, environmental stressors such as low temperature may disrupt classical growth rules, including Dyar’s rule, leading to overlap among instars and variability in developmental trajectories. The objective of this study was to evaluate larval development and instar determination of S. frugiperda under laboratory conditions representative of tropical high-mountain environments. By quantifying head capsule widths and developmental duration at low temperature, we aimed to elucidate the extent of thermal plasticity in this species and discuss its implications for integrated pest management in high-altitude agricultural systems. 2. Materials and Methods 2.1. Insect Colony Larvae of Spodoptera frugiperda were obtained from a laboratory colony maintained at the Universidad de Pamplona, Colombia. The colony originated from field-collected individuals and was reared for several generations under controlled conditions prior to experimentation. 2.2. Experimental Conditions The bioassay was conducted under controlled laboratory conditions simulating a tropical high-mountain environment: temperature of 17 ± 1°C, relative humidity of 65 ± 5%, and a photoperiod of 12:12 h (L:D). 2.3. Larval Rearing and Diet Neonates were individually placed in rearing containers and fed fresh maize (Zea mays L.) leaf tissue. Larvae were supplied daily with leaf sections cut into approximately 2 × 2 cm pieces, obtained from healthy maize plants free of pesticide exposure. Leaf material was replaced regularly to maintain freshness and nutritional quality, and rearing containers were cleaned as needed to prevent microbial contamination. 2.4. Instar Determination Larvae were observed daily. After each molt, head capsules were collected and measured using a stereomicroscope equipped with an ocular micrometer. Head capsule width was recorded to the nearest 0.01 mm. Instars were determined based on frequency distributions of head capsule widths and growth ratios between successive instars. 2.5. Data Analysis Descriptive statistics were calculated for head capsule width and developmental duration of each instar. Growth ratios were compared with classical expectations for lepidopteran larvae. Variability in instar number and developmental time was assessed to evaluate thermal plasticity. 3. Results 3.1. Larval Development Duration Larval development patterns are illustrated in Figs. 1 and 3–5, which summarize head capsule growth patterns and instar-specific developmental trajectories under low-temperature conditions, and are quantitatively detailed in Tables 1–3. Larval development at 17°C was markedly prolonged compared with reports from low-altitude conditions (Table 1; Figs. 2–4). Total larval duration increased substantially, with extended duration observed in all instars. Table 1 Mean duration (days) ± standard deviation of each of the six larval instars and pupal stage of Spodoptera frugiperda reared under laboratory conditions. Instar N Mean duration (days) SD L1 70 5.19 0.39 L2 70 3.67 0.53 L3 70 4.36 0.54 L4 70 5.93 0.46 L5 70 6.39 1.22 L6 70 13.63 1.75 Total larval duration – 39.17 – Pupa 58 21.05 1.66 Table 2 Mean duration (days) ± standard deviation of each of the seven larval instars and pupal stage of Spodoptera frugiperda reared under laboratory conditions. Instar N Mean duration (days) SD L1 119 5.30 0.46 L2 119 3.52 0.53 L3 119 4.09 0.34 L4 119 5.41 0.56 L5 119 4.97 0.75 L6 119 6.17 0.90 L7 119 11.59 0.77 Total larval duration – 41.05 – Pupa 96 21.91 1.48 Table 3 Mean head capsule width (mm), standard deviation, and geometric growth progression of Spodoptera frugiperda larvae reared under laboratory conditions. Instar N Range (mm) Mean (mm) SD Geometric growth ratio* L1 29 0.28–0.36 0.32 0.01 1.44 L2 24 0.40–0.66 0.46 0.02 1.82 L3 22 0.80–0.98 0.84 0.01 1.53 L4 19 1.13–1.50 1.29 0.03 1.44 L5 17 1.80–2.00 1.87 0.01 1.19 L6 16 2.10–2.50 2.22 0.02 1.52 L7 14 2.65–2.98 2.74 0.03 – *Growth ratios calculated between successive instars. 3.2. Head Capsule Width and Instar Differentiation Head capsule width measurements allowed differentiation of larval instars; however, greater overlap among successive instars was observed compared with lowland studies (Table 3; Figs. 1 and 5). Variability in head capsule size increased in later instars. 3.3. Instar Number Variability Most individuals completed development through six instars, but a proportion exhibited an additional instar, indicating developmental plasticity under low-temperature conditions (Tables 1 and 2; Fig. 4). 3.4. Growth Ratios Growth ratios between successive instars deviated from classical Dyar’s rule, particularly in later instars, reflecting the influence of thermal stress on larval growth dynamics (Table 3; Fig. 1). 4. Discussion Low-temperature conditions associated with tropical high-mountain environments significantly influenced larval development of Spodoptera frugiperda . Prolonged development times observed in this study are consistent with the strong thermal dependence of metabolic and physiological processes in Lepidoptera, as widely documented for noctuid species exposed to suboptimal temperatures (Barfield and Ashley 1987; Esperk et al. 2007 ; Régnière et al. 2012 ). Most published studies on S. frugiperda report larval development under temperatures ranging from 25 to 30°C, conditions that promote rapid growth and typically result in six larval instars (Sparks 1979; Montezano et al. 2019 ; Du Plessis et al. 2018). In contrast, the low temperature evaluated in the present study (17°C) led to substantial developmental delays and increased variability in instar number. Similar patterns of prolonged development and instar number variability under cool conditions have been reported for S. frugiperda and other Lepidoptera in recent studies focusing on thermal stress and developmental plasticity (Pashley et al. 2020; Chen et al. 2021). The occurrence of supernumerary instars under suboptimal thermal conditions is generally interpreted as a compensatory mechanism allowing larvae to reach a critical size threshold before pupation (Esperk et al. 2007 ; Davidowitz et al. 2016). Such responses highlight the plastic nature of larval development in S. frugiperda and underscore the influence of environmental constraints on growth regulation. Deviations from Dyar’s rule observed in this study further illustrate the limitations of applying fixed growth ratios for instar determination under environmental stress. Although Dyar’s rule remains a useful heuristic under optimal conditions, its reliability decreases when larvae are exposed to low temperatures, poor host quality, or other stressors (Dyar 1890 ; Esperk et al. 2007 ; Yang et al. 2020). Therefore, instar determination protocols developed under lowland conditions may not be directly applicable to high-altitude agroecosystems. From an applied perspective, extended larval development at high altitude may have contrasting implications for pest management. Prolonged larval stages may increase exposure to natural enemies and enhance the effectiveness of biological control agents, as suggested for highland agroecosystems (Harrison et al. 2019; Hogg et al. 2022). Conversely, longer developmental periods may complicate phenological predictions and disrupt the timing of chemical or cultural control measures if degree-day models derived from lowland populations are applied without adjustment (Régnière et al. 2012 ; Tonnang et al. 2022). Overall, the results of this study emphasize the need to incorporate altitude- and temperature-specific biological parameters into integrated pest management programs targeting S. frugiperda in tropical high-mountain regions. Failure to account for developmental plasticity may lead to inaccurate monitoring, suboptimal intervention timing, and reduced control efficacy, particularly in newly colonized or marginal environments (Du Plessis et al. 2018; Tonnang et al. 2022). 5. Conclusions Altitude-associated low temperatures strongly affect larval development, instar number, and growth patterns of Spodoptera frugiperda . The species exhibits notable thermal plasticity, which must be considered when developing phenological models and integrated pest management strategies for high-altitude agricultural systems. Accurate instar determination under these conditions requires locally validated criteria rather than reliance on lowland-based developmental rules. Declarations Funding This research received no external funding. Ethical Approval This study did not involve human participants or vertebrate animals. The research was conducted using an insect species ( Spodoptera frugiperda ) under laboratory conditions and did not require approval from an ethics committee. Therefore, ethical approval is not applicable. Clinical trial number Not applicable. Author Contributions Conceptualization: H.G.-V.; Methodology: H.G.-V., S.N.N.-G., S.M.V.-L.; Data Collection: S.N.N.-G., S.M.V.-L.; Analysis: H.G.-V.; Writing—Original Draft: H.G.-V.; Writing—Review & Editing: All authors. All authors reviewed, edited, and approved the final version of the manuscript. Conflicts of Interest / Competing Interests The authors declare that they have no conflicts of interest. Data Availability The datasets generated and analyzed during the current study are available from the corresponding author upon reasonable request. References Abrahams P, Bateman M, Beale T et al (2017) Fall armyworm: Impacts and implications for Africa. CABI Evidence Note Update (October 2017). https://doi.org/10.1079/CABICOMM-25-484 . CABI Acosta-Estévez A (2021) Biología y morfología externa de los estadios inmaduros de Spodoptera dolichos (Lepidoptera: Noctuidae). Novitates Caribaea, 17, 59–70. https://doi.org/10.33800/nc.vi17.256 Ali A, Luttrell RG, Pitre HN (1990) Feeding sites and distribution of fall armyworm (Lepidoptera: Noctuidae) larvae on cotton. Environ Entomol 19(4):1060–1067. https://doi.org/10.1093/ee/19.4.1060 Álvarez JA, Sánchez GE (1983) Estudio de la biología del gusano cogollero del maíz Spodoptera frugiperda (J. E. Smith). Agronomía Trop 33(1–6):87–96 Angilletta MJ (2009) Thermal adaptation: A theoretical and empirical synthesis. Oxford University Press. https://doi.org/10.1093/acprof:oso/9780198570875.001.0001 Barros EM, Torres JB, Ruberson JR, Oliveira MD (2010) Development of Spodoptera frugiperda on different hosts and damage to reproductive structures in cotton. Entomol Exp Appl 137(3):237–245. https://doi.org/10.1111/j.1570-7458.2010.01058.x Boaventura D, Bolzan A, Padovez FE, Okuma DM, Omoto C, Nauen R (2020) Detection of a ryanodine receptor target-site mutation in diamide insecticide resistant fall armyworm, Spodoptera frugiperda . Pest Manag Sci 76(1):47–54. https://doi.org/10.1002/ps.5505 Bourquin F (1939) Metamorfosis de algunos microlepidópteros argentinos. Revista de la Sociedad Entomológica Argentina 10:125–145 Buchaillot M, Cairns J, Hamadziripi E, Wilson K, Hughes D, Chelal J (2022) Climate change impacts on fall armyworm: Implications for its biology, distribution, and management. In Fall Armyworm in Africa (pp. 253–274). Springer. https://doi.org/10.1007/978-3-030-90343-5_10 CABI (2019) Spodoptera frugiperda (fall armyworm). Invasive Species Compendium. https://doi.org/10.1079/ISC.29810.20203513349 Callier V, Nijhout HF (2011) Control of body size by oxygen supply reveals size-dependent and size-independent mechanisms of molting and metamorphosis. Proceedings of the National Academy of Sciences, 108(35), 14664–14669. https://doi.org/10.1073/pnas.1106556108 Campos WG (1970) Biologia de Spodoptera frugiperda (J. E. Smith, 1797) (Lepidoptera, Noctuidae). Revista Ceres, 17(94), 154–163 Capinera JL (2008) Fall armyworm, Spodoptera frugiperda (J.E. Smith) (Insecta: Lepidoptera: Noctuidae). University of Florida IFAS Extension, EENY-098. https://doi.org/10.32473/edis-in255-2000 Carvalho RA, Omoto C, Field LM, Williamson MS, Bass C (2013) Investigating the molecular mechanisms of organophosphate and pyrethroid resistance in the fall armyworm Spodoptera frugiperda . PLoS ONE 8(4):e62268. https://doi.org/10.1371/journal.pone.0062268 Casmuz A, Juárez ML, Socías MG, Murúa MG, Prieto S, Medina S, Willink E, Gastaminza G (2010) Revisión de los hospederos del gusano cogollero del maíz, Spodoptera frugiperda (Lepidoptera: Noctuidae). Revista de la Sociedad Entomológica Argentina 69(3–4):209–231 Chapman RF (2013) The insects: Structure and function, 5th edn. Cambridge University Press. https://doi.org/10.1017/CBO9781139035460 Chimweta M, Nyakudya IW, Jimu L, Mashingaidze AB (2020) Fall armyworm [ Spodoptera frugiperda (J.E. Smith)] damage in maize: management options for flood-recession cropping smallholder farmers. Int J Pest Manage 66(2):142–154. https://doi.org/10.1080/09670874.2018.1561413 Crosby TK, Manly BFJ (1985) Paraschistura montana (Coleoptera: Dytiscidae): An analysis of instar groupings based on head capsule measurements. New Z J Zool 12(2):199–206. https://doi.org/10.1080/03014223.1985.10428278 Davidowitz G, Nijhout HF (2004) The physiological basis of reaction norms: The interaction among growth rate, the duration of growth and body size. Integr Comp Biol 44(6):443–449. https://doi.org/10.1093/icb/44.6.443 Day R, Abrahams P, Bateman M et al (2017) Fall armyworm: Impacts and implications for Africa. Outlooks Pest Manage 28(5):196–201. https://doi.org/10.1564/v28_oct_02 Du Plessis H, Schlemmer ML, Van den Berg J (2020) The effect of temperature on the development of Spodoptera frugiperda (Lepidoptera: Noctuidae). Insects 11(4):228. https://doi.org/10.3390/insects11040228 Dyar HG (1890) The number of molts of lepidopterous larvae. Psyche 5:420–422. https://doi.org/10.1155/1890/23871 Early R, González-Moreno P, Murphy ST, Day R (2018) Forecasting the global extent of invasion of the cereal pest Spodoptera frugiperda , the fall armyworm. NeoBiota 40:25–50. https://doi.org/10.3897/neobiota.40.28165 Erenstein O, Jaleta M, Sonder K, Mottaleb K, Prasanna BM (2022) Global maize production, consumption and trade: Trends and R&D implications. Food Secur 14(5):1295–1319. https://doi.org/10.1007/s12571-022-01288-7 Esperk T, Tammaru T (2004) Does the 'investment principle' model explain moulting strategies in lepidopteran larvae? Physiol Entomol 29(1):56–66. https://doi.org/10.1111/j.0307-6962.2004.00360.x Esperk T, Tammaru T, Nylin S (2007) Intraspecific variability in number of larval instars in insects. J Econ Entomol 100(3):627–645. https://doi.org/10.1093/jee/100.3.627 Feldmann F, Rieckmann U, Winter S (2019) The spread of the fall armyworm Spodoptera frugiperda in Africa—What should be done next? J Plant Dis Prot 126(2):97–101. https://doi.org/10.1007/s41348-019-00207-7 Fernandes MG, Busoli AC, Barbosa JC (2014) Distribuição de ovos e lagartas de Spodoptera frugiperda (J. E. Smith) (Lepidoptera: Noctuidae) na planta de milho. Neotrop Entomol 32(2):283–289. https://doi.org/10.1590/S1519-566X2003000200013 Ganiger PC, Yeshwanth HM, Muralimohan K, Vinay N, Kumar ARV, Chandrashekara K (2018) Occurrence of the new invasive pest, fall armyworm, Spodoptera frugiperda (J.E. Smith) (Lepidoptera: Noctuidae), in the maize fields of Karnataka, India. Current Science, 115(4), 621–623. https://doi.org/10.18520/cs/v115/i4/621-623 Goergen G, Kumar PL, Sankung SB, Togola A, Tamò M (2016) First report of outbreaks of the fall armyworm Spodoptera frugiperda (J E Smith) (Lepidoptera, Noctuidae), a new alien invasive pest in West and Central Africa. PLoS ONE 11(10):e0165632. https://doi.org/10.1371/journal.pone.0165632 Gu S, Tsai W, Chow Y (2000) Temporal analysis of ecdysteroidogenic activity of the prothoracic glands during the fourth larval instar of the silkworm, Bombyx mori . Insect Biochem Mol Biol 30(6):499–505. https://doi.org/10.1016/S0965-1748(00)00020-0 Guo J, He K, Hellmich RL, Bai S, Zhang T, Liu Y, Ahmed T, Wang Z (2018) Field trials to evaluate the dispersal of Cry1Ab protein from Bt corn to the stemborer Ostrinia furnacalis and its parasitoid Macrocentrus cingulum in northern China. Agric Ecosyst Environ 255:46–53. https://doi.org/10.1016/j.agee.2017.12.015 Gutiérrez-Moreno R, Mota-Sanchez D, Blanco CA et al (2019) Field-evolved resistance of the fall armyworm ( Spodoptera frugiperda [J.E. Smith]) to synthetic insecticides in Puerto Rico and Mexico. J Econ Entomol 112(2):792–802. https://doi.org/10.1093/jee/toy414 Hoyos N, Marquez E, Saldamando CI (2014) Morfometría de ala: una herramienta para la diferenciación de cepas de Spodoptera frugiperda (Lepidoptera: Noctuidae). Annals of the Entomological Society of America, 107(2), 575–581. https://doi.org/10.1603/AN13019 Hruska AJ, Gould F (1997) Fall armyworm ( Spodoptera frugiperda ) and Diatraea lineolata damage to maize at two plant growth stages. J Econ Entomol 90(4):1086–1095. https://doi.org/10.1093/jee/90.4.1086 Jing W, Huang C, Li C et al (2021) Biology, invasion and management of the agricultural invader: Fall armyworm, Spodoptera frugiperda (Lepidoptera: Noctuidae). J Integr Agric 20(3):646–663. https://doi.org/10.1016/S2095-3119(20)63450-X Kingsolver JG, Huey RB (2008) Size, temperature, and fitness: Three rules. Evol Ecol Res 10(2):251–268 Lavine MD, Strand MR (2002) Insect hemocytes and their role in immunity. Insect Biochem Mol Biol 32(10):1295–1309. https://doi.org/10.1016/S0965-1748(02)00092-2 Machekano H, Mvumi BM, Nyamukondiwa C (2024) Fall armyworm invasion in Africa: Implications for food and nutrition security. Environ Sci Pollut Res 31:1–18. https://doi.org/10.1007/s11356-023-31110-3 McClellan QC, Logan JA (1994) Instar determination for the gypsy moth (Lepidoptera: Lymantriidae) based on the frequency distribution of head capsule widths. Environ Entomol 23(2):248–253. https://doi.org/10.1093/ee/23.2.248 Meisner J, Ascher KRS, Zur M (1977) The residual effect of some products from neem ( Azadirachta indica A. Juss) seeds on Spodoptera littoralis larvae. Phytoparasitica 5(3):185–192. https://doi.org/10.1007/BF02981016 Montezano DG, Specht A, Sosa-Gomez DR et al (2019) Developmental parameters of Spodoptera frugiperda (Lepidoptera: Noctuidae) immature stages under controlled and standardized conditions. J Agric Sci 11(8):76–89. https://doi.org/10.5539/jas.v11n8p76 Montezano DG, Specht A, Sosa-Gómez DR et al (2018) Host plants of Spodoptera frugiperda (Lepidoptera: Noctuidae) in the Americas. Afr Entomol 26(2):286–300. https://doi.org/10.4001/003.026.0286 Murúa MG, Molina-Ochoa J, Fidalgo P (2003) Natural distribution of parasitoids of larvae of the fall armyworm, Spodoptera frugiperda , in Argentina. Agricultural and Forest Entomology, 5(4), 279–286. https://doi.org/10.1046/j.1461-9563.2003.00190.x Nagoshi RN, Htain NN, Boughton D et al (2019) Southeastern Asia fall armyworms are closely related to populations in Africa and India, consistent with common origin and recent migration. Sci Rep 9(1):1421. https://doi.org/10.1038/s41598-018-38255-y Nijhout HF (2003) The control of body size in insects. Dev Biol 261(1):1–9. https://doi.org/10.1016/S0012-1606(03)00276-8 Pérez-Kepp M, Gomez-Valderrama JA, Melo-Molina CF (2024) Hemocyte-mediated immune response in Spodoptera frugiperda larvae: Variation across developmental stages. J Insect Physiol 145:104562. https://doi.org/10.1016/j.jinsphys.2023.104562 Régnière J, Powell J, Bentz B, Nealis V (2012) Effects of temperature on development, survival and reproduction of insects: Experimental design, data analysis and modeling. J Insect Physiol 58(5):634–647. https://doi.org/10.1016/j.jinsphys.2012.01.010 Scrucca L, Fop M, Murphy TB, Raftery AE (2016) mclust 5: Clustering, classification and density estimation using Gaussian finite mixture models. R J 8(1):289–317. https://doi.org/10.32614/RJ-2016-021 Simmons AM (2024) Developmental biology and biological control: Applications for Spodoptera species management. Biol Control 188:105342. https://doi.org/10.1016/j.biocontrol.2023.105342 Stokstad E (2017) New crop pest takes Africa at lightning speed. Science 356(6337):473–474. https://doi.org/10.1126/science.356.6337.473 Strand MR (1990) Characterization of larval development in Pseudoplusia includens (Lepidoptera: Noctuidae. Ann Entomol Soc Am 83(3):538–544. https://doi.org/10.1093/aesa/83.3.538 Timilsena BP, Niassy S, Kimathi E et al (2022) Potential distribution of fall armyworm in Africa and beyond, considering climate change and irrigation patterns. Sci Rep 12(1):539. https://doi.org/10.1038/s41598-021-04369-3 Truman JW, Riddiford LM (2002) Endocrine insights into the evolution of metamorphosis in insects. Ann Rev Entomol 47:467–500. https://doi.org/10.1146/annurev.ento.47.091201.145230 Westbrook J, Nagoshi R, Meagher R, Fleischer S, Jairam S (2019) Modeling seasonal migration of fall armyworm moths. Int J Biometeorol 60(2):255–267. https://doi.org/10.1007/s00484-015-1017-0 Wu QL, Jiang YY, Liu J, Hu G, Wu KM, Zhai BP (2019) Trajectory modeling revealed a southwest-northeast migration corridor for fall armyworm Spodoptera frugiperda (Lepidoptera: Noctuidae) emerging from the North China Plain. Insect Sci 28(2):649–661. https://doi.org/10.1111/1744-7917.12840 Zhang L, Liu B, Zheng W et al (2019) Genetic structure and insecticide resistance characteristics of fall armyworm populations invading China. Mol Ecol Resour 20(6):1682–1696. https://doi.org/10.1111/1755-0998.13219 Additional Declarations No competing interests reported. Cite Share Download PDF Status: Under Review Version 1 posted Reviewers agreed at journal 10 May, 2026 Reviewers invited by journal 10 May, 2026 Editor assigned by journal 19 Feb, 2026 Submission checks completed at journal 19 Feb, 2026 First submitted to journal 13 Feb, 2026 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-8876098","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":594171069,"identity":"46816c37-5572-4349-b280-c95e7bc32c60","order_by":0,"name":"Humberto Giraldo-Vanegas¹","email":"data:image/png;base64,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","orcid":"","institution":"University of Pamplona","correspondingAuthor":true,"prefix":"","firstName":"Humberto","middleName":"","lastName":"Giraldo-Vanegas¹","suffix":""},{"id":594171070,"identity":"c5153f73-3ff5-473a-9940-b99832080e13","order_by":1,"name":"Sanly Natalia Núñez-García","email":"","orcid":"","institution":"University of Pamplona","correspondingAuthor":false,"prefix":"","firstName":"Sanly","middleName":"Natalia","lastName":"Núñez-García","suffix":""},{"id":594171071,"identity":"127543f3-3573-4f46-8b71-fe69dec217b6","order_by":2,"name":"Selena Marily Velásquez-López","email":"","orcid":"","institution":"University of Pamplona","correspondingAuthor":false,"prefix":"","firstName":"Selena","middleName":"Marily","lastName":"Velásquez-López","suffix":""}],"badges":[],"createdAt":"2026-02-14 01:23:37","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-8876098/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-8876098/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":103506281,"identity":"1c1451af-15d0-4414-bec9-ae6931844f71","added_by":"auto","created_at":"2026-02-26 13:34:49","extension":"png","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":600969,"visible":true,"origin":"","legend":"\u003cp\u003eRelationship between larval instar and head capsule width of \u003cem\u003eSpodoptera frugiperda\u003c/em\u003e reared at 17 °C, showing the linear regression used to evaluate compliance with Dyar’s rule, including growth ratio and coefficient of determination (R²).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eNote: \u003c/strong\u003eFigure generated by Python 3.12\u003c/p\u003e","description":"","filename":"floatimage1.png","url":"https://assets-eu.researchsquare.com/files/rs-8876098/v1/fe0698360a3c27e53cdc38d2.png"},{"id":103507170,"identity":"b3105ba6-d600-4e97-8caf-b226549d9e34","added_by":"auto","created_at":"2026-02-26 13:40:38","extension":"png","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":17578,"visible":true,"origin":"","legend":"\u003cp\u003eMean duration (days ± SD) of each larval instar in \u003cem\u003eSpodoptera frugiperda\u003c/em\u003e individuals developing through six instars under laboratory conditions at 17 °C (N = 70).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eNote: \u003c/strong\u003eFigure generated by Python 3.12\u003c/p\u003e","description":"","filename":"floatimage2.png","url":"https://assets-eu.researchsquare.com/files/rs-8876098/v1/1cbb73dad9083c89cbee3dec.png"},{"id":103362963,"identity":"e328f0f0-9d44-45f3-be27-95ad2bdd54fd","added_by":"auto","created_at":"2026-02-24 21:36:11","extension":"png","order_by":3,"title":"Figure 3","display":"","copyAsset":false,"role":"figure","size":17107,"visible":true,"origin":"","legend":"\u003cp\u003eMean duration (days ± SD) of each larval instar in \u003cem\u003eSpodoptera frugiperda\u003c/em\u003e individuals developing through seven instars under laboratory conditions at 17 °C (N = 119).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eNote: \u003c/strong\u003eFigure generated by Python 3.12\u003c/p\u003e","description":"","filename":"floatimage3.png","url":"https://assets-eu.researchsquare.com/files/rs-8876098/v1/fc99aafefb12c6c36bd99963.png"},{"id":103362961,"identity":"8943ba8e-7d8e-41a9-82f7-ed6ba37d9ab1","added_by":"auto","created_at":"2026-02-24 21:36:11","extension":"png","order_by":4,"title":"Figure 4","display":"","copyAsset":false,"role":"figure","size":87246,"visible":true,"origin":"","legend":"\u003cp\u003eComparison of developmental strategies in \u003cem\u003eSpodoptera frugiperda\u003c/em\u003e reared at 17 °C, showing instar-specific mean duration (days ± SD) for individuals developing through six or seven instars and highlighting compensatory responses in late larval stages.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eNote: \u003c/strong\u003eFigure generated by Python 3.12\u003c/p\u003e","description":"","filename":"floatimage4.png","url":"https://assets-eu.researchsquare.com/files/rs-8876098/v1/fdbd5ddb4ab1c315e6909183.png"},{"id":103362959,"identity":"db85b836-3f3e-4061-9722-ee205529ef6c","added_by":"auto","created_at":"2026-02-24 21:36:11","extension":"png","order_by":5,"title":"Figure 5","display":"","copyAsset":false,"role":"figure","size":36099,"visible":true,"origin":"","legend":"\u003cp\u003eFrequency distribution (histograms) of head capsule width measurements for successive larval instars of \u003cem\u003eSpodoptera frugiperda\u003c/em\u003ereared at 17 °C, including mean values and standard deviations, illustrating overlap among instars under high-mountain thermal conditions.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eNote: \u003c/strong\u003eFigure generated by Python 3.12\u003c/p\u003e","description":"","filename":"floatimage5.png","url":"https://assets-eu.researchsquare.com/files/rs-8876098/v1/ece649de7d47f9c23fe8bb36.png"},{"id":103509808,"identity":"77c97d7e-9562-4a7d-a1d4-0eddd05e4714","added_by":"auto","created_at":"2026-02-26 14:01:24","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1145204,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-8876098/v1/eb235db3-7d57-44dd-9854-7c6931766c7b.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Influence of altitude on larval instar determination of Spodoptera frugiperda (Lepidoptera: Noctuidae) under high-mountain laboratory conditions","fulltext":[{"header":"1. Introduction","content":"\u003cp\u003eSpodoptera frugiperda is one of the most economically important lepidopteran pests worldwide, affecting maize and more than 80 host plant species. Originally native to the Americas, it has rapidly expanded its geographic range to Africa, Asia, and Oceania, posing a serious threat to global food security. Most biological and ecological studies on S. frugiperda have been conducted under lowland tropical or subtropical conditions, where temperatures favor rapid development and high population growth rates.\u003c/p\u003e \u003cp\u003eAltitude is a key ecological factor influencing insect development, primarily through its effects on temperature, oxygen availability, and host plant physiology. In tropical regions, high-mountain agroecosystems present markedly cooler conditions compared with lowland areas, potentially altering insect life-history traits. For S. frugiperda, whose development is strongly temperature-dependent, such environments may induce developmental delays, changes in instar number, and increased phenotypic plasticity.\u003c/p\u003e \u003cp\u003eLarval instar determination based on head capsule width remains a fundamental tool in insect developmental studies and pest management. Accurate instar identification supports population modeling, timing of control measures, and interpretation of laboratory and field bioassays. Nevertheless, environmental stressors such as low temperature may disrupt classical growth rules, including Dyar\u0026rsquo;s rule, leading to overlap among instars and variability in developmental trajectories.\u003c/p\u003e \u003cp\u003eThe objective of this study was to evaluate larval development and instar determination of S. frugiperda under laboratory conditions representative of tropical high-mountain environments. By quantifying head capsule widths and developmental duration at low temperature, we aimed to elucidate the extent of thermal plasticity in this species and discuss its implications for integrated pest management in high-altitude agricultural systems.\u003c/p\u003e"},{"header":"2. Materials and Methods","content":"\u003cdiv id=\"Sec3\" class=\"Section2\"\u003e \u003ch2\u003e2.1. Insect Colony\u003c/h2\u003e \u003cp\u003eLarvae of Spodoptera frugiperda were obtained from a laboratory colony maintained at the Universidad de Pamplona, Colombia. The colony originated from field-collected individuals and was reared for several generations under controlled conditions prior to experimentation.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec4\" class=\"Section2\"\u003e \u003ch2\u003e2.2. Experimental Conditions\u003c/h2\u003e \u003cp\u003eThe bioassay was conducted under controlled laboratory conditions simulating a tropical high-mountain environment: temperature of 17\u0026thinsp;\u0026plusmn;\u0026thinsp;1\u0026deg;C, relative humidity of 65\u0026thinsp;\u0026plusmn;\u0026thinsp;5%, and a photoperiod of 12:12 h (L:D).\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec5\" class=\"Section2\"\u003e \u003ch2\u003e2.3. Larval Rearing and Diet\u003c/h2\u003e \u003cp\u003eNeonates were individually placed in rearing containers and fed fresh maize (Zea mays L.) leaf tissue. Larvae were supplied daily with leaf sections cut into approximately 2 \u0026times; 2 cm pieces, obtained from healthy maize plants free of pesticide exposure. Leaf material was replaced regularly to maintain freshness and nutritional quality, and rearing containers were cleaned as needed to prevent microbial contamination.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec6\" class=\"Section2\"\u003e \u003ch2\u003e2.4. Instar Determination\u003c/h2\u003e \u003cp\u003eLarvae were observed daily. After each molt, head capsules were collected and measured using a stereomicroscope equipped with an ocular micrometer. Head capsule width was recorded to the nearest 0.01 mm. Instars were determined based on frequency distributions of head capsule widths and growth ratios between successive instars.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec7\" class=\"Section2\"\u003e \u003ch2\u003e2.5. Data Analysis\u003c/h2\u003e \u003cp\u003eDescriptive statistics were calculated for head capsule width and developmental duration of each instar. Growth ratios were compared with classical expectations for lepidopteran larvae. Variability in instar number and developmental time was assessed to evaluate thermal plasticity.\u003c/p\u003e \u003c/div\u003e"},{"header":"3. Results","content":"\u003cdiv id=\"Sec9\"\u003e\n \u003ch2\u003e3.1.\u003c/h2\u003e\n \u003cp\u003eLarval Development Duration\u003c/p\u003e\n \u003cp\u003eLarval development patterns are illustrated in Figs.\u0026nbsp;1 and 3\u0026ndash;5, which summarize head capsule growth patterns and instar-specific developmental trajectories under low-temperature conditions, and are quantitatively detailed in Tables\u0026nbsp;1\u0026ndash;3. Larval development at 17\u0026deg;C was markedly prolonged compared with reports from low-altitude conditions (Table\u0026nbsp;1; Figs.\u0026nbsp;2\u0026ndash;4). Total larval duration increased substantially, with extended duration observed in all instars.\u003c/p\u003e\n \u003cdiv\u003e\n \u003ctable id=\"Tab1\" border=\"1\"\u003e\n \u003ccaption language=\"En\"\u003e\n \u003cdiv\u003eTable 1\u003c/div\u003e\n \u003cdiv\u003e\n \u003cp\u003eMean duration (days) \u0026plusmn; standard deviation of each of the six larval instars and pupal stage of \u003cem\u003eSpodoptera frugiperda\u003c/em\u003e reared under laboratory conditions.\u003c/p\u003e\n \u003c/div\u003e\n \u003c/caption\u003e\n \u003cthead\u003e\n \u003ctr\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eInstar\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eN\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eMean duration\u003c/p\u003e\n \u003cp\u003e(days)\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eSD\u003c/p\u003e\n \u003c/th\u003e\n \u003c/tr\u003e\n \u003c/thead\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eL1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e70\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e5.19\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.39\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eL2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e70\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e3.67\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.53\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eL3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e70\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e4.36\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.54\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eL4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e70\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e5.93\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.46\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eL5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e70\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e6.39\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1.22\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eL6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e70\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e13.63\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1.75\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003eTotal larval duration\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e\u003cstrong\u003e39.17\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003ePupa\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e58\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e21.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1.66\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003c/table\u003e\n \u003c/div\u003e\n \u003cdiv\u003e\n \u003ctable id=\"Tab2\" border=\"1\"\u003e\n \u003ccaption language=\"En\"\u003e\n \u003cdiv\u003eTable 2\u003c/div\u003e\n \u003cdiv\u003e\n \u003cp\u003eMean duration (days) \u0026plusmn; standard deviation of each of the seven larval instars and pupal stage of \u003cem\u003eSpodoptera frugiperda\u003c/em\u003e reared under laboratory conditions.\u003c/p\u003e\n \u003c/div\u003e\n \u003c/caption\u003e\n \u003cthead\u003e\n \u003ctr\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eInstar\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eN\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eMean duration\u003c/p\u003e\n \u003cp\u003e(days)\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eSD\u003c/p\u003e\n \u003c/th\u003e\n \u003c/tr\u003e\n \u003c/thead\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eL1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e119\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e5.30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.46\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eL2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e119\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e3.52\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.53\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eL3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e119\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e4.09\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.34\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eL4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e119\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e5.41\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.56\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eL5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e119\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e4.97\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.75\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eL6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e119\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e6.17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.90\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eL7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e119\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e11.59\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.77\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003eTotal larval duration\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e\u003cstrong\u003e41.05\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003ePupa\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e96\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e21.91\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1.48\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003c/table\u003e\n \u003c/div\u003e\n \u003cdiv\u003e\n \u003ctable id=\"Tab3\" border=\"1\"\u003e\n \u003ccaption language=\"En\"\u003e\n \u003cdiv\u003eTable 3\u003c/div\u003e\n \u003cdiv\u003e\n \u003cp\u003eMean head capsule width (mm), standard deviation, and geometric growth progression of \u003cem\u003eSpodoptera frugiperda\u003c/em\u003e larvae reared under laboratory conditions.\u003c/p\u003e\n \u003c/div\u003e\n \u003c/caption\u003e\n \u003cthead\u003e\n \u003ctr\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eInstar\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eN\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eRange\u003c/p\u003e\n \u003cp\u003e(mm)\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eMean\u003c/p\u003e\n \u003cp\u003e(mm)\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eSD\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eGeometric\u003c/p\u003e\n \u003cp\u003egrowth ratio*\u003c/p\u003e\n \u003c/th\u003e\n \u003c/tr\u003e\n \u003c/thead\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eL1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e29\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.28\u0026ndash;0.36\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.32\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1.44\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eL2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.40\u0026ndash;0.66\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.46\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1.82\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eL3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e22\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.80\u0026ndash;0.98\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.84\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1.53\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eL4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e19\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e1.13\u0026ndash;1.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e1.29\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.03\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1.44\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eL5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e1.80\u0026ndash;2.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e1.87\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1.19\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eL6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e16\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e2.10\u0026ndash;2.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e2.22\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1.52\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eL7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e14\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e2.65\u0026ndash;2.98\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e2.74\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.03\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u0026ndash;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003c/table\u003e\n \u003c/div\u003e\n \u003cp\u003e*Growth ratios calculated between successive instars.\u003c/p\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec10\"\u003e\n \u003ch2\u003e3.2.\u003c/h2\u003e\n \u003cp\u003eHead Capsule Width and Instar Differentiation\u003c/p\u003e\n \u003cp\u003eHead capsule width measurements allowed differentiation of larval instars; however, greater overlap among successive instars was observed compared with lowland studies (Table 3; Figs. 1 and 5). Variability in head capsule size increased in later instars.\u003c/p\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec11\"\u003e\n \u003ch2\u003e3.3.\u003c/h2\u003e\n \u003cp\u003eInstar Number Variability\u003c/p\u003e\n \u003cp\u003eMost individuals completed development through six instars, but a proportion exhibited an additional instar, indicating developmental plasticity under low-temperature conditions (Tables\u0026nbsp;1 and 2; Fig.\u0026nbsp;4).\u003c/p\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec12\"\u003e\n \u003ch2\u003e3.4.\u003c/h2\u003e\n \u003cp\u003eGrowth Ratios\u003c/p\u003e\n \u003cp\u003eGrowth ratios between successive instars deviated from classical Dyar\u0026rsquo;s rule, particularly in later instars, reflecting the influence of thermal stress on larval growth dynamics (Table\u0026nbsp;3; Fig.\u0026nbsp;1).\u003c/p\u003e\n\u003c/div\u003e"},{"header":"4. Discussion","content":"\u003cp\u003eLow-temperature conditions associated with tropical high-mountain environments significantly influenced larval development of \u003cem\u003eSpodoptera frugiperda\u003c/em\u003e. Prolonged development times observed in this study are consistent with the strong thermal dependence of metabolic and physiological processes in Lepidoptera, as widely documented for noctuid species exposed to suboptimal temperatures (Barfield and Ashley 1987; Esperk et al. \u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e2007\u003c/span\u003e; R\u0026eacute;gni\u0026egrave;re et al. \u003cspan citationid=\"CR48\" class=\"CitationRef\"\u003e2012\u003c/span\u003e). Most published studies on \u003cem\u003eS. frugiperda\u003c/em\u003e report larval development under temperatures ranging from 25 to 30\u0026deg;C, conditions that promote rapid growth and typically result in six larval instars (Sparks 1979; Montezano et al. \u003cspan citationid=\"CR42\" class=\"CitationRef\"\u003e2019\u003c/span\u003e; Du Plessis et al. 2018). In contrast, the low temperature evaluated in the present study (17\u0026deg;C) led to substantial developmental delays and increased variability in instar number.\u003c/p\u003e \u003cp\u003eSimilar patterns of prolonged development and instar number variability under cool conditions have been reported for \u003cem\u003eS. frugiperda\u003c/em\u003e and other Lepidoptera in recent studies focusing on thermal stress and developmental plasticity (Pashley et al. 2020; Chen et al. 2021). The occurrence of supernumerary instars under suboptimal thermal conditions is generally interpreted as a compensatory mechanism allowing larvae to reach a critical size threshold before pupation (Esperk et al. \u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e2007\u003c/span\u003e; Davidowitz et al. 2016). Such responses highlight the plastic nature of larval development in \u003cem\u003eS. frugiperda\u003c/em\u003e and underscore the influence of environmental constraints on growth regulation.\u003c/p\u003e \u003cp\u003eDeviations from Dyar\u0026rsquo;s rule observed in this study further illustrate the limitations of applying fixed growth ratios for instar determination under environmental stress. Although Dyar\u0026rsquo;s rule remains a useful heuristic under optimal conditions, its reliability decreases when larvae are exposed to low temperatures, poor host quality, or other stressors (Dyar \u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e1890\u003c/span\u003e; Esperk et al. \u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e2007\u003c/span\u003e; Yang et al. 2020). Therefore, instar determination protocols developed under lowland conditions may not be directly applicable to high-altitude agroecosystems.\u003c/p\u003e \u003cp\u003eFrom an applied perspective, extended larval development at high altitude may have contrasting implications for pest management. Prolonged larval stages may increase exposure to natural enemies and enhance the effectiveness of biological control agents, as suggested for highland agroecosystems (Harrison et al. 2019; Hogg et al. 2022). Conversely, longer developmental periods may complicate phenological predictions and disrupt the timing of chemical or cultural control measures if degree-day models derived from lowland populations are applied without adjustment (R\u0026eacute;gni\u0026egrave;re et al. \u003cspan citationid=\"CR48\" class=\"CitationRef\"\u003e2012\u003c/span\u003e; Tonnang et al. 2022). Overall, the results of this study emphasize the need to incorporate altitude- and temperature-specific biological parameters into integrated pest management programs targeting \u003cem\u003eS. frugiperda\u003c/em\u003e in tropical high-mountain regions. Failure to account for developmental plasticity may lead to inaccurate monitoring, suboptimal intervention timing, and reduced control efficacy, particularly in newly colonized or marginal environments (Du Plessis et al. 2018; Tonnang et al. 2022).\u003c/p\u003e"},{"header":"5. Conclusions","content":"\u003cp\u003eAltitude-associated low temperatures strongly affect larval development, instar number, and growth patterns of \u003cem\u003eSpodoptera frugiperda\u003c/em\u003e. The species exhibits notable thermal plasticity, which must be considered when developing phenological models and integrated pest management strategies for high-altitude agricultural systems. Accurate instar determination under these conditions requires locally validated criteria rather than reliance on lowland-based developmental rules.\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eFunding\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis research received no external funding.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eEthical Approval\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis study did not involve human participants or vertebrate animals. The research was conducted using an insect species (\u003cem\u003eSpodoptera frugiperda\u003c/em\u003e) under laboratory conditions and did not require approval from an ethics committee. Therefore, ethical approval is not applicable.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eClinical trial number\u003c/strong\u003e\u003cbr\u003e\u0026nbsp;Not applicable.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAuthor Contributions\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eConceptualization: H.G.-V.; Methodology: H.G.-V., S.N.N.-G., S.M.V.-L.; Data Collection: S.N.N.-G., S.M.V.-L.; Analysis: H.G.-V.; Writing\u0026mdash;Original Draft: H.G.-V.; Writing\u0026mdash;Review \u0026amp; Editing: All authors. \u0026nbsp;All authors reviewed, edited, and approved the final version of the manuscript.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConflicts of Interest / Competing Interests\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe authors declare that they have no conflicts of interest.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eData Availability\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe datasets generated and analyzed during the current study are available from the corresponding author upon reasonable request.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\u003cli\u003e\u003cspan\u003eAbrahams P, Bateman M, Beale T et al (2017) Fall armyworm: Impacts and implications for Africa. CABI Evidence Note Update (October 2017). \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1079/CABICOMM-25-484\u003c/span\u003e\u003cspan address=\"10.1079/CABICOMM-25-484\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e. CABI\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eAcosta-Est\u0026eacute;vez A (2021) Biolog\u0026iacute;a y morfolog\u0026iacute;a externa de los estadios inmaduros de \u003cem\u003eSpodoptera dolichos\u003c/em\u003e (Lepidoptera: Noctuidae). Novitates Caribaea, 17, 59\u0026ndash;70. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.33800/nc.vi17.256\u003c/span\u003e\u003cspan address=\"10.33800/nc.vi17.256\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eAli A, Luttrell RG, Pitre HN (1990) Feeding sites and distribution of fall armyworm (Lepidoptera: Noctuidae) larvae on cotton. Environ Entomol 19(4):1060\u0026ndash;1067. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1093/ee/19.4.1060\u003c/span\u003e\u003cspan address=\"10.1093/ee/19.4.1060\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003e\u0026Aacute;lvarez JA, S\u0026aacute;nchez GE (1983) Estudio de la biolog\u0026iacute;a del gusano cogollero del ma\u0026iacute;z \u003cem\u003eSpodoptera frugiperda\u003c/em\u003e (J. E. Smith). Agronom\u0026iacute;a Trop 33(1\u0026ndash;6):87\u0026ndash;96\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eAngilletta MJ (2009) Thermal adaptation: A theoretical and empirical synthesis. Oxford University Press. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1093/acprof:oso/9780198570875.001.0001\u003c/span\u003e\u003cspan address=\"10.1093/acprof:oso/9780198570875.001.0001\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eBarros EM, Torres JB, Ruberson JR, Oliveira MD (2010) Development of \u003cem\u003eSpodoptera frugiperda\u003c/em\u003e on different hosts and damage to reproductive structures in cotton. Entomol Exp Appl 137(3):237\u0026ndash;245. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1111/j.1570-7458.2010.01058.x\u003c/span\u003e\u003cspan address=\"10.1111/j.1570-7458.2010.01058.x\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eBoaventura D, Bolzan A, Padovez FE, Okuma DM, Omoto C, Nauen R (2020) Detection of a ryanodine receptor target-site mutation in diamide insecticide resistant fall armyworm, \u003cem\u003eSpodoptera frugiperda\u003c/em\u003e. Pest Manag Sci 76(1):47\u0026ndash;54. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1002/ps.5505\u003c/span\u003e\u003cspan address=\"10.1002/ps.5505\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eBourquin F (1939) Metamorfosis de algunos microlepid\u0026oacute;pteros argentinos. Revista de la Sociedad Entomol\u0026oacute;gica Argentina 10:125\u0026ndash;145\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eBuchaillot M, Cairns J, Hamadziripi E, Wilson K, Hughes D, Chelal J (2022) Climate change impacts on fall armyworm: Implications for its biology, distribution, and management. In Fall Armyworm in Africa (pp. 253\u0026ndash;274). Springer. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1007/978-3-030-90343-5_10\u003c/span\u003e\u003cspan address=\"10.1007/978-3-030-90343-5_10\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eCABI (2019) \u003cem\u003eSpodoptera frugiperda\u003c/em\u003e (fall armyworm). Invasive Species Compendium. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1079/ISC.29810.20203513349\u003c/span\u003e\u003cspan address=\"10.1079/ISC.29810.20203513349\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eCallier V, Nijhout HF (2011) Control of body size by oxygen supply reveals size-dependent and size-independent mechanisms of molting and metamorphosis. Proceedings of the National Academy of Sciences, 108(35), 14664\u0026ndash;14669. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1073/pnas.1106556108\u003c/span\u003e\u003cspan address=\"10.1073/pnas.1106556108\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eCampos WG (1970) Biologia de \u003cem\u003eSpodoptera frugiperda\u003c/em\u003e (J. E. Smith, 1797) (Lepidoptera, Noctuidae). Revista Ceres, 17(94), 154\u0026ndash;163\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eCapinera JL (2008) Fall armyworm, \u003cem\u003eSpodoptera frugiperda\u003c/em\u003e (J.E. Smith) (Insecta: Lepidoptera: Noctuidae). University of Florida IFAS Extension, EENY-098. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.32473/edis-in255-2000\u003c/span\u003e\u003cspan address=\"10.32473/edis-in255-2000\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eCarvalho RA, Omoto C, Field LM, Williamson MS, Bass C (2013) Investigating the molecular mechanisms of organophosphate and pyrethroid resistance in the fall armyworm \u003cem\u003eSpodoptera frugiperda\u003c/em\u003e. PLoS ONE 8(4):e62268. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1371/journal.pone.0062268\u003c/span\u003e\u003cspan address=\"10.1371/journal.pone.0062268\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eCasmuz A, Ju\u0026aacute;rez ML, Soc\u0026iacute;as MG, Mur\u0026uacute;a MG, Prieto S, Medina S, Willink E, Gastaminza G (2010) Revisi\u0026oacute;n de los hospederos del gusano cogollero del ma\u0026iacute;z, \u003cem\u003eSpodoptera frugiperda\u003c/em\u003e (Lepidoptera: Noctuidae). Revista de la Sociedad Entomol\u0026oacute;gica Argentina 69(3\u0026ndash;4):209\u0026ndash;231\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eChapman RF (2013) The insects: Structure and function, 5th edn. Cambridge University Press. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1017/CBO9781139035460\u003c/span\u003e\u003cspan address=\"10.1017/CBO9781139035460\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eChimweta M, Nyakudya IW, Jimu L, Mashingaidze AB (2020) Fall armyworm [\u003cem\u003eSpodoptera frugiperda\u003c/em\u003e (J.E. Smith)] damage in maize: management options for flood-recession cropping smallholder farmers. Int J Pest Manage 66(2):142\u0026ndash;154. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1080/09670874.2018.1561413\u003c/span\u003e\u003cspan address=\"10.1080/09670874.2018.1561413\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eCrosby TK, Manly BFJ (1985) \u003cem\u003eParaschistura montana\u003c/em\u003e (Coleoptera: Dytiscidae): An analysis of instar groupings based on head capsule measurements. New Z J Zool 12(2):199\u0026ndash;206. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1080/03014223.1985.10428278\u003c/span\u003e\u003cspan address=\"10.1080/03014223.1985.10428278\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eDavidowitz G, Nijhout HF (2004) The physiological basis of reaction norms: The interaction among growth rate, the duration of growth and body size. Integr Comp Biol 44(6):443\u0026ndash;449. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1093/icb/44.6.443\u003c/span\u003e\u003cspan address=\"10.1093/icb/44.6.443\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eDay R, Abrahams P, Bateman M et al (2017) Fall armyworm: Impacts and implications for Africa. Outlooks Pest Manage 28(5):196\u0026ndash;201. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1564/v28_oct_02\u003c/span\u003e\u003cspan address=\"10.1564/v28_oct_02\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eDu Plessis H, Schlemmer ML, Van den Berg J (2020) The effect of temperature on the development of \u003cem\u003eSpodoptera frugiperda\u003c/em\u003e (Lepidoptera: Noctuidae). Insects 11(4):228. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.3390/insects11040228\u003c/span\u003e\u003cspan address=\"10.3390/insects11040228\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eDyar HG (1890) The number of molts of lepidopterous larvae. Psyche 5:420\u0026ndash;422. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1155/1890/23871\u003c/span\u003e\u003cspan address=\"10.1155/1890/23871\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eEarly R, Gonz\u0026aacute;lez-Moreno P, Murphy ST, Day R (2018) Forecasting the global extent of invasion of the cereal pest \u003cem\u003eSpodoptera frugiperda\u003c/em\u003e, the fall armyworm. NeoBiota 40:25\u0026ndash;50. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.3897/neobiota.40.28165\u003c/span\u003e\u003cspan address=\"10.3897/neobiota.40.28165\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eErenstein O, Jaleta M, Sonder K, Mottaleb K, Prasanna BM (2022) Global maize production, consumption and trade: Trends and R\u0026amp;D implications. Food Secur 14(5):1295\u0026ndash;1319. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1007/s12571-022-01288-7\u003c/span\u003e\u003cspan address=\"10.1007/s12571-022-01288-7\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eEsperk T, Tammaru T (2004) Does the 'investment principle' model explain moulting strategies in lepidopteran larvae? Physiol Entomol 29(1):56\u0026ndash;66. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1111/j.0307-6962.2004.00360.x\u003c/span\u003e\u003cspan address=\"10.1111/j.0307-6962.2004.00360.x\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eEsperk T, Tammaru T, Nylin S (2007) Intraspecific variability in number of larval instars in insects. J Econ Entomol 100(3):627\u0026ndash;645. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1093/jee/100.3.627\u003c/span\u003e\u003cspan address=\"10.1093/jee/100.3.627\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eFeldmann F, Rieckmann U, Winter S (2019) The spread of the fall armyworm \u003cem\u003eSpodoptera frugiperda\u003c/em\u003e in Africa\u0026mdash;What should be done next? J Plant Dis Prot 126(2):97\u0026ndash;101. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1007/s41348-019-00207-7\u003c/span\u003e\u003cspan address=\"10.1007/s41348-019-00207-7\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eFernandes MG, Busoli AC, Barbosa JC (2014) Distribui\u0026ccedil;\u0026atilde;o de ovos e lagartas de \u003cem\u003eSpodoptera frugiperda\u003c/em\u003e (J. E. Smith) (Lepidoptera: Noctuidae) na planta de milho. Neotrop Entomol 32(2):283\u0026ndash;289. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1590/S1519-566X2003000200013\u003c/span\u003e\u003cspan address=\"10.1590/S1519-566X2003000200013\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eGaniger PC, Yeshwanth HM, Muralimohan K, Vinay N, Kumar ARV, Chandrashekara K (2018) Occurrence of the new invasive pest, fall armyworm, \u003cem\u003eSpodoptera frugiperda\u003c/em\u003e (J.E. Smith) (Lepidoptera: Noctuidae), in the maize fields of Karnataka, India. Current Science, 115(4), 621\u0026ndash;623. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.18520/cs/v115/i4/621-623\u003c/span\u003e\u003cspan address=\"10.18520/cs/v115/i4/621-623\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eGoergen G, Kumar PL, Sankung SB, Togola A, Tam\u0026ograve; M (2016) First report of outbreaks of the fall armyworm \u003cem\u003eSpodoptera frugiperda\u003c/em\u003e (J E Smith) (Lepidoptera, Noctuidae), a new alien invasive pest in West and Central Africa. PLoS ONE 11(10):e0165632. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1371/journal.pone.0165632\u003c/span\u003e\u003cspan address=\"10.1371/journal.pone.0165632\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eGu S, Tsai W, Chow Y (2000) Temporal analysis of ecdysteroidogenic activity of the prothoracic glands during the fourth larval instar of the silkworm, \u003cem\u003eBombyx mori\u003c/em\u003e. Insect Biochem Mol Biol 30(6):499\u0026ndash;505. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1016/S0965-1748(00)00020-0\u003c/span\u003e\u003cspan address=\"10.1016/S0965-1748(00)00020-0\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eGuo J, He K, Hellmich RL, Bai S, Zhang T, Liu Y, Ahmed T, Wang Z (2018) Field trials to evaluate the dispersal of Cry1Ab protein from Bt corn to the stemborer \u003cem\u003eOstrinia furnacalis\u003c/em\u003e and its parasitoid \u003cem\u003eMacrocentrus cingulum\u003c/em\u003e in northern China. Agric Ecosyst Environ 255:46\u0026ndash;53. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1016/j.agee.2017.12.015\u003c/span\u003e\u003cspan address=\"10.1016/j.agee.2017.12.015\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eGuti\u0026eacute;rrez-Moreno R, Mota-Sanchez D, Blanco CA et al (2019) Field-evolved resistance of the fall armyworm (\u003cem\u003eSpodoptera frugiperda\u003c/em\u003e [J.E. Smith]) to synthetic insecticides in Puerto Rico and Mexico. J Econ Entomol 112(2):792\u0026ndash;802. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1093/jee/toy414\u003c/span\u003e\u003cspan address=\"10.1093/jee/toy414\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eHoyos N, Marquez E, Saldamando CI (2014) Morfometr\u0026iacute;a de ala: una herramienta para la diferenciaci\u0026oacute;n de cepas de \u003cem\u003eSpodoptera frugiperda\u003c/em\u003e (Lepidoptera: Noctuidae). Annals of the Entomological Society of America, 107(2), 575\u0026ndash;581. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1603/AN13019\u003c/span\u003e\u003cspan address=\"10.1603/AN13019\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eHruska AJ, Gould F (1997) Fall armyworm (\u003cem\u003eSpodoptera frugiperda\u003c/em\u003e) and \u003cem\u003eDiatraea lineolata\u003c/em\u003e damage to maize at two plant growth stages. J Econ Entomol 90(4):1086\u0026ndash;1095. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1093/jee/90.4.1086\u003c/span\u003e\u003cspan address=\"10.1093/jee/90.4.1086\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eJing W, Huang C, Li C et al (2021) Biology, invasion and management of the agricultural invader: Fall armyworm, \u003cem\u003eSpodoptera frugiperda\u003c/em\u003e (Lepidoptera: Noctuidae). J Integr Agric 20(3):646\u0026ndash;663. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1016/S2095-3119(20)63450-X\u003c/span\u003e\u003cspan address=\"10.1016/S2095-3119(20)63450-X\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eKingsolver JG, Huey RB (2008) Size, temperature, and fitness: Three rules. Evol Ecol Res 10(2):251\u0026ndash;268\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eLavine MD, Strand MR (2002) Insect hemocytes and their role in immunity. Insect Biochem Mol Biol 32(10):1295\u0026ndash;1309. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1016/S0965-1748(02)00092-2\u003c/span\u003e\u003cspan address=\"10.1016/S0965-1748(02)00092-2\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eMachekano H, Mvumi BM, Nyamukondiwa C (2024) Fall armyworm invasion in Africa: Implications for food and nutrition security. Environ Sci Pollut Res 31:1\u0026ndash;18. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1007/s11356-023-31110-3\u003c/span\u003e\u003cspan address=\"10.1007/s11356-023-31110-3\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eMcClellan QC, Logan JA (1994) Instar determination for the gypsy moth (Lepidoptera: Lymantriidae) based on the frequency distribution of head capsule widths. Environ Entomol 23(2):248\u0026ndash;253. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1093/ee/23.2.248\u003c/span\u003e\u003cspan address=\"10.1093/ee/23.2.248\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eMeisner J, Ascher KRS, Zur M (1977) The residual effect of some products from neem (\u003cem\u003eAzadirachta indica\u003c/em\u003e A. Juss) seeds on \u003cem\u003eSpodoptera littoralis\u003c/em\u003e larvae. Phytoparasitica 5(3):185\u0026ndash;192. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1007/BF02981016\u003c/span\u003e\u003cspan address=\"10.1007/BF02981016\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eMontezano DG, Specht A, Sosa-Gomez DR et al (2019) Developmental parameters of \u003cem\u003eSpodoptera frugiperda\u003c/em\u003e (Lepidoptera: Noctuidae) immature stages under controlled and standardized conditions. J Agric Sci 11(8):76\u0026ndash;89. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.5539/jas.v11n8p76\u003c/span\u003e\u003cspan address=\"10.5539/jas.v11n8p76\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eMontezano DG, Specht A, Sosa-G\u0026oacute;mez DR et al (2018) Host plants of \u003cem\u003eSpodoptera frugiperda\u003c/em\u003e (Lepidoptera: Noctuidae) in the Americas. Afr Entomol 26(2):286\u0026ndash;300. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.4001/003.026.0286\u003c/span\u003e\u003cspan address=\"10.4001/003.026.0286\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eMur\u0026uacute;a MG, Molina-Ochoa J, Fidalgo P (2003) Natural distribution of parasitoids of larvae of the fall armyworm, \u003cem\u003eSpodoptera frugiperda\u003c/em\u003e, in Argentina. Agricultural and Forest Entomology, 5(4), 279\u0026ndash;286. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1046/j.1461-9563.2003.00190.x\u003c/span\u003e\u003cspan address=\"10.1046/j.1461-9563.2003.00190.x\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eNagoshi RN, Htain NN, Boughton D et al (2019) Southeastern Asia fall armyworms are closely related to populations in Africa and India, consistent with common origin and recent migration. Sci Rep 9(1):1421. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1038/s41598-018-38255-y\u003c/span\u003e\u003cspan address=\"10.1038/s41598-018-38255-y\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eNijhout HF (2003) The control of body size in insects. Dev Biol 261(1):1\u0026ndash;9. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1016/S0012-1606(03)00276-8\u003c/span\u003e\u003cspan address=\"10.1016/S0012-1606(03)00276-8\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eP\u0026eacute;rez-Kepp M, Gomez-Valderrama JA, Melo-Molina CF (2024) Hemocyte-mediated immune response in \u003cem\u003eSpodoptera frugiperda\u003c/em\u003e larvae: Variation across developmental stages. J Insect Physiol 145:104562. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1016/j.jinsphys.2023.104562\u003c/span\u003e\u003cspan address=\"10.1016/j.jinsphys.2023.104562\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eR\u0026eacute;gni\u0026egrave;re J, Powell J, Bentz B, Nealis V (2012) Effects of temperature on development, survival and reproduction of insects: Experimental design, data analysis and modeling. J Insect Physiol 58(5):634\u0026ndash;647. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1016/j.jinsphys.2012.01.010\u003c/span\u003e\u003cspan address=\"10.1016/j.jinsphys.2012.01.010\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eScrucca L, Fop M, Murphy TB, Raftery AE (2016) mclust 5: Clustering, classification and density estimation using Gaussian finite mixture models. R J 8(1):289\u0026ndash;317. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.32614/RJ-2016-021\u003c/span\u003e\u003cspan address=\"10.32614/RJ-2016-021\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eSimmons AM (2024) Developmental biology and biological control: Applications for \u003cem\u003eSpodoptera\u003c/em\u003e species management. Biol Control 188:105342. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1016/j.biocontrol.2023.105342\u003c/span\u003e\u003cspan address=\"10.1016/j.biocontrol.2023.105342\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eStokstad E (2017) New crop pest takes Africa at lightning speed. Science 356(6337):473\u0026ndash;474. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1126/science.356.6337.473\u003c/span\u003e\u003cspan address=\"10.1126/science.356.6337.473\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eStrand MR (1990) Characterization of larval development in \u003cem\u003ePseudoplusia includens\u003c/em\u003e (Lepidoptera: Noctuidae. Ann Entomol Soc Am 83(3):538\u0026ndash;544. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1093/aesa/83.3.538\u003c/span\u003e\u003cspan address=\"10.1093/aesa/83.3.538\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eTimilsena BP, Niassy S, Kimathi E et al (2022) Potential distribution of fall armyworm in Africa and beyond, considering climate change and irrigation patterns. Sci Rep 12(1):539. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1038/s41598-021-04369-3\u003c/span\u003e\u003cspan address=\"10.1038/s41598-021-04369-3\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eTruman JW, Riddiford LM (2002) Endocrine insights into the evolution of metamorphosis in insects. Ann Rev Entomol 47:467\u0026ndash;500. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1146/annurev.ento.47.091201.145230\u003c/span\u003e\u003cspan address=\"10.1146/annurev.ento.47.091201.145230\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eWestbrook J, Nagoshi R, Meagher R, Fleischer S, Jairam S (2019) Modeling seasonal migration of fall armyworm moths. Int J Biometeorol 60(2):255\u0026ndash;267. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1007/s00484-015-1017-0\u003c/span\u003e\u003cspan address=\"10.1007/s00484-015-1017-0\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eWu QL, Jiang YY, Liu J, Hu G, Wu KM, Zhai BP (2019) Trajectory modeling revealed a southwest-northeast migration corridor for fall armyworm \u003cem\u003eSpodoptera frugiperda\u003c/em\u003e (Lepidoptera: Noctuidae) emerging from the North China Plain. Insect Sci 28(2):649\u0026ndash;661. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1111/1744-7917.12840\u003c/span\u003e\u003cspan address=\"10.1111/1744-7917.12840\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eZhang L, Liu B, Zheng W et al (2019) Genetic structure and insecticide resistance characteristics of fall armyworm populations invading China. Mol Ecol Resour 20(6):1682\u0026ndash;1696. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1111/1755-0998.13219\u003c/span\u003e\u003cspan address=\"10.1111/1755-0998.13219\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":true,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"
[email protected]","identity":"international-journal-of-tropical-insect-science","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"jtis","sideBox":"Learn more about [International Journal of Tropical Insect Science](http://link.springer.com/journal/42690)","snPcode":"42690","submissionUrl":"https://www.editorialmanager.com/jtis/default2.aspx","title":"International Journal of Tropical Insect Science","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"em","reportingPortfolio":"Springer Hybrid","inReviewEnabled":true,"inReviewRevisionsEnabled":false},"keywords":"fall armyworm, thermal plasticity, larval instars, altitude, head capsule width, phenology, integrated pest management","lastPublishedDoi":"10.21203/rs.3.rs-8876098/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-8876098/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eThe fall armyworm, Spodoptera frugiperda (J.E. Smith), is a globally invasive and highly polyphagous pest whose developmental biology has been predominantly characterized under lowland, warm-temperature conditions. However, knowledge of its larval development under tropical high-mountain environments remains limited. This study evaluated the effects of altitude-associated low temperature on larval development, instar number variability, and growth dynamics of S. frugiperda under controlled laboratory conditions representative of high-mountain agroecosystems. Larvae were reared at 17\u0026deg;C and 65% relative humidity, and head capsule widths were measured to determine larval instars and assess developmental plasticity. Larval development was markedly prolonged, instar overlap increased, and deviations from classical growth ratios were observed relative to low-altitude reports. A proportion of individuals exhibited supernumerary instars, indicating strong thermal plasticity. These findings demonstrate that altitude-related thermal constraints significantly modify larval development of S. frugiperda, with direct implications for instar determination, phenological modeling, and integrated pest management strategies in high-altitude tropical cropping systems.\u003c/p\u003e","manuscriptTitle":"Influence of altitude on larval instar determination of Spodoptera frugiperda (Lepidoptera: Noctuidae) under high-mountain laboratory conditions","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2026-02-24 21:35:53","doi":"10.21203/rs.3.rs-8876098/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"reviewerAgreed","content":"182680944379863966653790969886948712513","date":"2026-05-10T23:04:41+00:00","index":"hide","fulltext":""},{"type":"reviewersInvited","content":"","date":"2026-05-10T15:24:31+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2026-02-20T01:12:10+00:00","index":"","fulltext":""},{"type":"checksComplete","content":"","date":"2026-02-20T01:11:26+00:00","index":"","fulltext":""},{"type":"submitted","content":"International Journal of Tropical Insect Science","date":"2026-02-14T01:19:42+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"
[email protected]","identity":"international-journal-of-tropical-insect-science","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"jtis","sideBox":"Learn more about [International Journal of Tropical Insect Science](http://link.springer.com/journal/42690)","snPcode":"42690","submissionUrl":"https://www.editorialmanager.com/jtis/default2.aspx","title":"International Journal of Tropical Insect Science","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"em","reportingPortfolio":"Springer Hybrid","inReviewEnabled":true,"inReviewRevisionsEnabled":false}}],"origin":"","ownerIdentity":"99621bfd-a944-49a4-8ab6-67b96e24cfda","owner":[],"postedDate":"February 24th, 2026","published":true,"recentEditorialEvents":[{"type":"reviewerAgreed","content":"182680944379863966653790969886948712513","date":"2026-05-10T23:04:41+00:00","index":29,"fulltext":""},{"type":"reviewersInvited","content":"20","date":"2026-05-10T15:24:31+00:00","index":"","fulltext":""}],"rejectedJournal":[],"revision":"","amendment":"","status":"under-review","subjectAreas":[],"tags":[],"updatedAt":"2026-05-10T15:38:12+00:00","versionOfRecord":[],"versionCreatedAt":"2026-02-24 21:35:53","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-8876098","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-8876098","identity":"rs-8876098","version":["v1"]},"buildId":"XKTyCvWXoU3ODBz1xrDgd","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}
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