Location and Planting Date Influenced Fall Armyworm Infestation and Maize Yield in the Guinea and Sudan Savanna Zones of Ghana
Authors
University for Development Studies (UDS) (Ghana)
University for Development Studies (UDS) (Ghana)
CSIR-Savanna Agriculture Research Institute (SARI) (Ghana)
Article Information
DOI: 10.51584/IJRIAS.2026.111500001
Subject Category: Agriculture
Volume/Issue: 11/15 | Page No: 1-13
Publication Timeline
Submitted: 2025-11-16
Accepted: 2025-11-26
Published: 2026-01-15
Abstract
Maize production in Ghana faces significant yield losses due to fall armyworm (FAW) infestations. This study evaluated the impact of planting dates and location on FAW infestation and maize yields in the Guinea and Sudan savanna zones of Ghana. Using a split-plot design, the effects of location and Planting date were evaluated across three locations, namely Damongo, Nyankpala, and Manga, under both early and late planting dates during the 2023 season. There were significant differences observed due to the interaction between location and Planting date on Larvae count, Leaf damage, plant and ear height, and grain yield. The interaction effect of location and Planting date revealed that early planting recorded the highest FAW infestation and damage in Nyankpala and the lowest in Damango. The low pest pressure in Damongo supported vigorous plant growth and the highest yields (4,252 kg/ha), while heavy FAW infestation and damage in Nyankpala resulted in stunted growth and poor yields (2,235 kg/ha) in the early planting date. During the late planting date, observations indicated that pest infestation and damage were reduced in Damongo and Manga, but infestation persisted in Nyankpala. Despite this, Nyankpala achieved the highest late-planting yield (3,372 kg/ha), while Damongo saw reduced yields (1,304 kg/ha). The superior yield performance in Nyankpala can be attributed to an interaction between the crop’s growth stage at the time of the pest attack, its inherent physiological resilience, and the favorable environmental conditions that supported recovery and grain filling. The significant difference in FAW infestation and grain yield observed across planting dates and locations demonstrates that agroecological conditions and seasonal stress factors strongly influenced yield. These results emphasize the need for location-specific planting schedules to mitigate fall armyworm damage and improve maize yields.
Keywords
Fall Armyworm, Location, Planting
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References
1. Abang, A. F., Nanga Nanga, S., Agbodzavu, M. K., Kuate Fotso, A., Suh, C., Masso, C., Bamba, Z., & Fiaboe, K. K. M. (2024). Maize plants can recover from fall armyworm damage under optimum crop production conditions in humid tropical agro-ecologies. Journal of Economic Entomology, 117(6), 2269–2280. https://doi.org/10.1093/jee/toae235 [Google Scholar] [Crossref]
2. Abrahams, A. P., Bateman, M., Beale, T., Clottey, V., Cock, M., Colmenarez, Y., Corniani, N., Day, R., Early, R., Godwin, J., Gomez, J., Moreno, P. G., Murphy, S. T., Oppong-mensah, B., Phiri, N., Pratt, C., Richards, G., Silvestri, S., & Witt, A. (2017). Fall Armyworm : Impacts and Implications for Africa. Outlooks on Pest Management, 5(28), 196–201. [Google Scholar] [Crossref]
3. Adu, G. B., Badu-Apraku, B., Akromah, R., Amegbor, I. K., Adogoba, D. S., Haruna, A., Manigben, K. A., Aboyadana, P. A., & Wiredu, A. N. (2021). Trait profile of maize varieties preferred by farmers and value chain actors in northern Ghana. Agronomy for Sustainable Development, 41(4). https://doi.org/10.1007/s13593-021-00708-w [Google Scholar] [Crossref]
4. Adu, J., Nyadanu, D., Nyarko, A., Quaye, M. O., Kuor, F., & Menka, C. A. (2023). Identification of High-Yielding Landraces and Hybrids of Maize (Zea mays L.) and the Heritability of Yield-Related Traits in Ghana. Asian Journal of Advances in Agricultural Research, 22(4), 22–33. https://doi.org/10.9734/ajaar/2023/v22i4447 [Google Scholar] [Crossref]
5. Akrofuom District Assembly. (2021). Akkrofuom District Assembly 2020 Annual Progress Report. 25. [Google Scholar] [Crossref]
6. Aktar, W., Sengupta, D., & Chowdhury, A. (2009). Impact of pesticides use in agriculture: Their benefits and hazards. Interdisciplinary Toxicology, 2(1), 1–12. https://doi.org/10.2478/v10102-009-0001-7 [Google Scholar] [Crossref]
7. Anandhi, S., Vr, S., Yasotha, P., & Pt, S. (2020). Seasonal dynamics and spatial distribution of fall armyworm Spodoptera frugiperda ( J . E . Smith ) on Maize ( Zea mays L .) in Cauvery Delta Zone. 9(4), 978–982. [Google Scholar] [Crossref]
8. Balla, A., Bhaskar, M., Bagade, P., & Rawal, N. (2020). Yield losses in maize ( Zea mays ) due to fall armyworm infestation and potential IoT-based interventions for its control. August 2019. [Google Scholar] [Crossref]
9. Banson, K. E., Asare, D. K., Dery, F. D., Boakye, K., Boniface, A., Asamoah, M., & Awotwe, L. E. (2020). Impact of Fall Armyworm on Farmer’s Maize: Systemic Approach. Systemic Practice and Action Research, 33(2), 237–264. https://doi.org/10.1007/s11213-019-09489-6 [Google Scholar] [Crossref]
10. Barfield, C. S., Mitchell, E. R., & Poeb, S. L. (1978). A temperature-dependent model for fall armyworm development. Annals of the Entomological Society of America, 71(1), 70–74. [Google Scholar] [Crossref]
11. Baudron, F., Zaman-Allah, M. A., Chaipa, I., Chari, N., & Chinwada, P. (2019). Understanding the factors influencing fall armyworm (Spodoptera frugiperda J.E. Smith) damage in African smallholder maize fields and quantifying its impact on yield. A case study in Eastern Zimbabwe. Crop Protection, 120, 141–150. https://doi.org/10.1016/j.cropro.2019.01.028 [Google Scholar] [Crossref]
12. Bolaños, J., & Edmeades, G. O. (1996). The importance of the anthesis-silking interval in breeding for drought tolerance in tropical maize. Field Crops Research, 48(1), 65–80. https://doi.org/10.1016/0378-4290(96)00036-6 [Google Scholar] [Crossref]
13. Cairns, J. E., Hellin, J., Sonder, K., Araus, J. L., MacRobert, J. F., Thierfelder, C., & Prasanna, B. M. (2013). Adapting maize production to climate change in sub-Saharan Africa. Food Security, 5(3), 345–360. https://doi.org/10.1007/s12571-013-0256-x [Google Scholar] [Crossref]
14. Chisonga, C., Chipabika, G., Sohati, P. H., & Id, R. D. H. (2023). Understanding the impact of fall armyworm (Spodoptera frugiperda J . E . Smith) leaf damage on maize yields. 1–12. https://doi.org/10.1371/journal.pone.0279138 [Google Scholar] [Crossref]
15. Cirilo, A. G., & Andrade, F. H. (1994). Sowing date and maize productivity: I. Crop growth and dry matter partitioning. Crop Science, 34(4), 1039–1043. [Google Scholar] [Crossref]
16. Darshan, R., & Prasanna, P. M. (2024). Effect of Date of Sowing on Incidence of Fall Armyworm , Spodoptera frugiperda in Maize. 27(4), 89–95. https://doi.org/10.9734/JABB/2024/v27i4742 [Google Scholar] [Crossref]
17. Edmeades, G. O., Bolaños, J., Chapman, S. C., Lafitte, H. R., & Bänziger, M. (1999). Selection improves drought tolerance in tropical maize populations: I. Gains in biomass, grain yield, and harvest index. Crop Science, 39(5), 1306–1315. [Google Scholar] [Crossref]
18. Edreira, J. I. R., Guilpart, N., Sadras, V., Cassman, K. G., van Ittersum, M. K., Schils, R. L. M., & Grassini, P. (2018). Water productivity of rainfed maize and wheat: A local to global perspective. Agricultural and Forest Meteorology, 259, 364–373. [Google Scholar] [Crossref]
19. G.S.S. (2014). West mamprusi district. 48. [Google Scholar] [Crossref]
20. Ghana Statisical Service (GSS). (2014). District Analytical report of West Gonja district. [Google Scholar] [Crossref]
21. Harrison, F. P. (1984). FALL, ARMYWORM (LEPIDOPTERA: NOCTUIDAE). Florida. Entomologist, 67, 3. [Google Scholar] [Crossref]
22. Harrison, R., Banda, J., Chipabika, G., Chisonga, C., Katema, C., Mabote Ndalamei, D., Nyirenda, S., & Tembo, H. (2022). Low Impact of Fall Armyworm (Spodoptera frugiperda Smith) (Lepidoptera: Noctuidae) Across Smallholder Fields in Malawi and Zambia. Journal of Economic Entomology, 115(6), 1783–1789. https://doi.org/10.1093/jee/toac113 [Google Scholar] [Crossref]
23. Hruska, A. J. (2019). Fall armyworm (Spodoptera frugiperda) management by smallholders. CAB Reviews: Perspectives in Agriculture, Veterinary Science, Nutrition and Natural Resources, 14(043), 0–3. https://doi.org/10.1079/PAVSNNR201914043 [Google Scholar] [Crossref]
24. Kamara, A. Y., Kling, J. G., Menkir, A., & Ibikunle, O. (2003). Association of vertical root‐pulling resistance with root lodging and grain yield in selected S1 maize lines derived from a tropical low‐nitrogen population. Journal of Agronomy and Crop Science, 189(3), 129–135. [Google Scholar] [Crossref]
25. Kandel, S., & Poudel, R. (2020). Fall Armyworm (Spodoptera Frugiperda) in Maize: An Emerging Threat in Nepal and its Management. International Journal of Applied Sciences and Biotechnology, 8(3), 305–309. https://doi.org/10.3126/ijasbt.v8i3.31610 [Google Scholar] [Crossref]
26. Koffi, A., Vincent, Y., & Entomologist, S. F. (n.d.). Natural Enemies of the Fall Armyworm , Spodoptera frugiperda ( J . E . Smith ) ( Lepidoptera : Noctuidae ) in Ghana Natural enemies of the fall armyworm , Spodoptera frugiperda ( J . E . Smith ) ( Lepidoptera : Noctuidae ) in Ghana. [Google Scholar] [Crossref]
27. Li, Z., & Xu, M. (2025). The Impact of High Temperature Stress on Maize Reproductive Development and the Regulation Mechanism of Heat Tolerance. Maize Genomics and Genetics, 16. [Google Scholar] [Crossref]
28. Lima, M. S., Silva, P. S. L., Oliveira, O. F., Silva, K. M. B., & Freitas, F. C. L. (2010). Corn yield response to weed and fall armyworm controls. Planta Daninha, 28, 103–111. [Google Scholar] [Crossref]
29. Lü, X., Qiu, R., He, X., & Li, J. (2024). Evaluation of key factors for mass rearing the egg parasitoid Telenomus remus Nixon ( Hymenoptera : Scelionidae ). CABI Agriculture and Bioscience, 1–12. https://doi.org/10.1186/s43170-024-00263-w [Google Scholar] [Crossref]
30. Mbaidiro, J. T., Onzo, A., Djenaissem, A., & Mbaikoubou, M. (2023). Influence of sowing dates on the population density of the fall armyworm Spodoptera frugiperda (JE. Smith) and its damage on maize plants in Chad. International Journal of Biological and Chemical Sciences, 17(3), 773–786. https://doi.org/10.4314/ijbcs.v17i3.3 [Google Scholar] [Crossref]
31. Nboyine, J. A., Asamani, E., Agboyi, L. K., Yahaya, I., Kusi, F., Adazebra, G., & Badii, B. K. (2022). Assessment of the optimal frequency of insecticide sprays required to manage fall armyworm ( Spodoptera frugiperda J . E Smith ) in maize ( Zea mays L .) in northern Ghana. CABI Agriculture and Bioscience, 7, 1–11. https://doi.org/10.1186/s43170-021-00070-7 [Google Scholar] [Crossref]
32. Nielsen, R. L., Thomison, P. R., Brown, G. A., Halter, A. L., Wells, J., & Wuethrich, K. L. (2018). Delayed Planting Effects on Flowering and Grain Maturation of Dent Corn. February. https://doi.org/10.2134/agronj2002.0549 [Google Scholar] [Crossref]
33. Nyabanga, L., Mandumbu, R., Rugare, J. T., Mafuse, N., Zivenge, E., Tibugari, H., Nyamadzawo, G., & Gadzirayi, C. T. (2021). Preventing fall armyworm (Spodoptera frugiperda JE Smith) damage in maize by altering planting time and using varied genotypes. In Sustainable Development Goals for Society Vol. 2: Food security, energy, climate action and biodiversity (pp. 47–61). Springer. [Google Scholar] [Crossref]
34. Of, D., & Of, M. (2022). AGRICULTURE IN. September. [Google Scholar] [Crossref]
35. Prasanna, B., Huesing, J. E., Eddy, R., & Peschke, V. M. (2018). Fall armyworm in Africa: A gudie for Integrated Pest Management. [Google Scholar] [Crossref]
36. Rwomushana, I., Bateman, M., Beale, T., Beseh, P., Cameron, K., Chiluba, M., Clottey, V., Davis, T., Day, R., Early, R., Godwin, J., González-Moreno, P., Kansiime, M., Kenis, M., Makale, F., Idah, M., Murphy, S., Nunda, W., Phiri, N., & Tambo, J. (2018). Fall armyworm: impacts and implications for Africa: Evidence Note Update, October 2018. [Google Scholar] [Crossref]
37. Sangoi, L., Gracietti, M. A., Rampazzo, C., & Bianchetti, P. (2002). Response of Brazilian maize hybrids from different eras to changes in plant density. Field Crops Research, 79(1), 39–51. [Google Scholar] [Crossref]
38. Sowmiya, R., Krishnan, R., Karthikeyan, R., Jeyarani, S., & Chandrasekhar, C. N. (2022). Impact of Different Sowing Windows and Legume Intercrops on the Incidence of Fall Army Worm (FAW) (Spodoptera frugiperda) and Yield of Hybrid Maize in Western Agro Climatic Zone of Tamil Nadu. International Journal of Plant & Soil Science, 34(2), 81–87. https://doi.org/10.9734/ijpss/2022/v34i230839 [Google Scholar] [Crossref]
39. Tambo, J. A., Kansiime, M. K., Mugambi, I., Agboyi, L. K., Beseh, P. K., & Day, R. (2023). Economic impacts and management of fall armyworm (Spodoptera frugiperda) in smallholder agriculture: a panel data analysis for Ghana. CABI Agriculture and Bioscience, 4(1), 1–14. https://doi.org/10.1186/s43170-023-00181-3 [Google Scholar] [Crossref]
40. Tollenaar, M., & Aguilera, A. (2015). (1992) Radiation Use Efficiency of an Old and a New Maize Hybrid (AJ). May 1992. https://doi.org/10.2134/agronj1992.00021962008400030033x [Google Scholar] [Crossref]
41. UZUN, S., ÖZAKTAN, H., UZUN, O., Abass, A. B., Ndunguru, G., Mamiro, P., Alenkhe, B., Mlingi, N., Bekunda, M., Anteneh Astatike, A., Ganamo Gazuma, E., Adeoye, I. D., Seini, W., Sarpong, D. B., Amegashie, D., Kumari, J. W. P., Wijayaratne, L. K. W., Jayawardena, N. W. I. A., Egodawatta, W. C. P., … Faquin, V. (2021). Maize Production in ghana. Sustainability (Switzerland), 2(1), 1–7. http://dx.doi.org/10.1016/j.jspr.2013.12.004%0Ahttp://www.journals.cambridge.org/abstract_S0021859610000936%0Ahttp://dx.doi.org/10.1016/j.worlddev.2014.08.002%0Ahttps://www.researchgate.net/profile/Hippolyte_Affognon/publication/285594327_Postharvest_loss [Google Scholar] [Crossref]
42. Van Antwerpen, L. (2019). Feeding and oviposition preference of Spodoptera frugiperda (Lepidoptera: Noctuidae) for selected poaceous plant species. May. https://repository.nwu.ac.za/handle/10394/33907 [Google Scholar] [Crossref]
43. Zhang, H., Han, M., Comas, L. H., Dejonge, K. C., Gleason, S. M., Trout, T. J., & Ma, L. (2019). Response of maize yield components to growth stage-based deficit irrigation. Agronomy Journal, 111(6), 3244–3252. https://doi.org/10.2134/agronj2019.03.0214 [Google Scholar] [Crossref]
44. Zhao, C., Piao, S., Huang, Y., Wang, X., Ciais, P., Huang, M., Zeng, Z., & Peng, S. (2016). yield response to temperature in China. Nature Communications, 7, 1–8. https://doi.org/10.1038/ncomms13530 [Google Scholar] [Crossref]
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