Intrusion of Fall Armyworm (Spodoptera frugiperda) in Sugarcane and Its Control by Drone in China

Song, Xiu–Peng; Liang, Yuhua; Zhang, Xiao-Qiu; Qin, Zhou; Wei, Jizhen; Li, Yang–Rui; Wu, Jianming

doi:10.1007/s12355-020-00799-x

Cited by 25 publications

(17 citation statements)

References 10 publications

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“…Detections of FAW since January 2019 have gathered speed: south-ward to Malaysia (March 2019) and Indonesia (Sumatra, April 2019; Java, July 2019; Kalimantan July 2019); Hong Kong (April 2019), Taiwan (May/June 2019); Laos and Vietnam (April 2019 31 ), the Philippines (June 2019 32 ; 33 ), South Korea (June 2019), and Japan (June 2019) 34 . Within China, the FAW has been reported in a northward expansion pattern from Yunnan to 18 provinces by July 2019 35–37 . As of August 2019, a total of 64 African and Asian nations have reported FAW 38 .…”

Section: Introductionmentioning

confidence: 99%

“…Indeed a meteorological data-based simulation study (i.e., wind currents, monsoon wind patterns) concluded the Yunnan FAW populations originated from Myanmar, consistent with FAW being officially reported earlier in Myanmar (December 2018 48,49 ) than in China (January 2019 35 ). Other work has examined the impact and implications for global plant health and agricultural biosecurity (e.g., 28,50 ), integrated pest management (IPM) and bioeconomics 51–53 , and insecticide resistance 37,45,54 .…”

Section: Introductionmentioning

confidence: 99%

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Global FAW population genomic signature supports complex introduction events across the Old World

Tay

Rane

Padovan

et al. 2020

Preprint

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Accurate genomic knowledge can elucidate the global spread patterns of invasive pests. The highprofile invasive agricultural pest Spodoptera frugiperda (fall armyworm; FAW) is a case in point. Native to the Americas, the FAW was first reported in West Africa in 2016 and has rapidly spread to over 64 countries across the Old World, resulting in significant economic losses. The chronological order of reported detections has led to the hypothesis that the FAW moved eastwards across Africa and then Asia, however genomic evidence remains lacking to test this hypothesis and to identify the potential origin of invasive populations. Using a whole genome sequencing approach, we explored the population genomic signatures of FAW populations from the Americas and the Old World. Analyses of complete mitochondrial DNA genomes identified 12 maternal lineages across the invasive range, while genomic signatures from 870 high-quality nuclear genome-wide single nucleotide polymorphic (SNP) DNA markers identified five distinct New World populations that broadly reflected their native geographical ranges and absence of host-plant preference status. Unique FAW populations in the Old World were also identified that suggested multiple introductions underpinned their rapid global spread. We identified in Asian FAW individuals, genomes lacking evidence of admixture; while analysis of identified complex substructure revealed significant directional geneflow from Asia into East Africa, in contrast to a simple east-towest spread. Our study highlights the need for population genomics approaches in analysing complex pest invasions, and the importance of international partnership to address global biosecurity challenges presented by emerging high priority insect pests. Correspondence

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Global FAW population genomic signature supports complex introduction events across the Old World

Tay

Rane

Padovan

et al. 2020

Preprint

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“…Based on literature review and additional surveys, Montezano et al (2018) revealed that there are 353 host plants of S. frugiperda found in Brazil, from 76 families, mainly Poaceae, Asteraceae, and Fabaceae. This pest is preferred maize as their host (Hruska 2019), however, it is also commonly found in ryegrass, wheat, sorghum, millets (Pitre et al 1983;Hruska 2019) and sugar cane (Srikanth et al 2018;Chormule et al 2019;Song et al 2020). Moreover, S. frugiperda is sporadically important in cotton, soybean, and vegetables (Pitre et al 1983;Hruska 2019).…”

Section: Introductionmentioning

confidence: 99%

Identification and genetic diversity of Spodoptera frugiperda in Lampung Province, Indonesia

et al. 2020

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Abstract. Lestari P, Budiarti A, Fitriana Y, Susilo FX, Swibawa IG, Sudarsono H, Suharjo R, Hariri AM, Purnomo, Nuryasin, Solikhin, Wibowo L, Jumari, Hartaman M. 2020. Identification and genetic diversity of Spodoptera frugiperda in Lampung Province, Indonesia. Biodiversitas 21: 1670-1677. Spodoptera frugiperda is one of the most recent invasive and destructive insect pest in Indonesia. Recently, it has been reported that this pest was found in some cornfield areas in Sumatera, including Lampung. This research was performed to confirm the presence of S. frugiperda in Lampung Province by collecting and identifying larvae of Spodoptera found in the field as well as investigation on the genetic diversity of the established populations and to observe the damage caused by this pest on cornfields in the Lampung Province. The observation was conducted from February-April 2019 at four locations (districts) representing corn-producing areas in Lampung, namely Lampung Selatan, Lampung Timur, Pesawaran and Pringsewu, each location comprising five plots. The plot is a cornfield with plants aged 14-40 days after planting. Twenty plants were randomly chosen in every plot as plant samples to collect the Spodoptera larvae and to calculate the absolute plant damage caused by the larvae. The absolute plant damage was analyzed by dividing the attacked plants with total plants observed and multiply by 100%. Identification of the Spodoptera larvae was performed based on morphological characters and molecular techniques using sequence analysis of Cytochrome c Oxidase subunit I (COI) gene. The result confirmed that the larvae found in the cornfield in Lampung were S. frugiperda. There was no nucleotides variation in the sequence of COI gene among S. frugiperda found in Lampung Province (Lampung Selatan, Lampung Timur, Pesawaran and Pringsewu) as well as S. frugiperda that was found in corn from foreign countries. The absolute plant damage caused by this pest in the four districts of Lampung was in the range of 26.50-70%.

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“…Psirofonia, et al [75] reported a very sophisticated use of RPA (DJI Phantom 3) to spray pesticide in the nominated areas using electronic traps (E-Traps), which counts the insects and transmits the data to the server that in turn directs the RPAs. Similarly, an efficient use of drone was reported to control Spodoptera frugiperda, an invasive sugarcane crop pest, by spraying pesticides with the help of 3WWDZ-10A, XAG [81]. Considering these studies, it is evident that RPAs promise efficiency and low-cost in agriculture field.…”

Section: Irrigation and Fertilizationmentioning

confidence: 97%

Remotely Piloted Aircraft (RPA) in Agriculture: A Pursuit of Sustainability

et al. 2020

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The current COVID-19 global pandemic has amplified the pressure on the agriculture sector, inciting the need for sustainable agriculture more than ever. Thus, in this review, a sustainable perspective of the use of remotely piloted aircraft (RPA) or drone technology in the agriculture sector is discussed. Similarly, the types of cameras (multispectral, thermal, and visible), sensors, software, and platforms frequently deployed for ensuring precision agriculture for crop monitoring, disease detection, or even yield estimation are briefly discoursed. In this regard, vegetation indices (VIs) embrace an imperative prominence as they provide vital information for crop monitoring and decision-making, thus a summary of most commonly used VIs is also furnished and serves as a guide while planning to collect specific crop data. Furthermore, the establishment of significant applications of RPAs in livestock, forestry, crop monitoring, disease surveillance, irrigation, soil analysis, fertilization, crop harvest, weed management, mechanical pollination, crop insurance and tree plantation are cited in the light of currently available literature in this domain. RPA technology efficiency, cost and limitations are also considered based on the previous studies that may help to devise policies, technology adoption, investment, and research activities in this sphere.

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Intrusion of Fall Armyworm (Spodoptera frugiperda) in Sugarcane and Its Control by Drone in China

Cited by 25 publications

References 10 publications

Global FAW population genomic signature supports complex introduction events across the Old World

Global FAW population genomic signature supports complex introduction events across the Old World

Identification and genetic diversity of Spodoptera frugiperda in Lampung Province, Indonesia

Remotely Piloted Aircraft (RPA) in Agriculture: A Pursuit of Sustainability

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