Analysis of Potential Distribution of Spodoptera Frugiperda In Northwest

2021 ◽  
Author(s):  
Chao Li ◽  
Jianghua Liao ◽  
Yuke Ya ◽  
Juan Liu ◽  
Jun Li ◽  
...  
Keyword(s):  
Spodoptera Frugiperda ◽  
Potential Distribution ◽  
Northwest China ◽  
Distribution Area ◽  
Maize Production ◽  
Maxent Model ◽  
Production Area ◽  
Auc Value ◽  
And Control ◽  
Lepidoptera Noctuidae

Abstract Spodoptera frugiperda (J. E. Smith) (Lepidoptera: Noctuidae), a newly invaded pest that breaks out fast and severely, causes a serious threat to the national security of food production. In this study, the MaxEnt model was used to predict the potentially suitable distribution area of S. frugiperda in Northwest China. The potential distribution of S. frugiperda was predicted using meteorological factors from the correlation analysis. According to the result, a satisfactory AUC value in the MaxEnt model indicates that the prediction model has good accuracy, which is sufficient for predicting the fitness zone of S. frugiperda in Northwest China. The prediction results show that the potential distribution risk of S. frugiperda is high in western Gansu, eastern Qinghai, Shaanxi, most regions of Ningxia, and part regions of Tibetan, and it also exists in Hami, Yili, Bozhou, Urumqi, Hotan, and Aksu in Xinjiang, and more than 60% of Northwest China are suitable distribution areas for S. frugiperda. As China's major wheat and maize production area, Northwest China is a crucial prevention area for S. frugiperda. Clarifying the potential geographical distribution of S. frugiperda in Northwest China is essential for early warning as well as prevention and control.

scholarly journals Study on the Potential Distribution of Leptinotarsa decemlineata and Its Natural Enemy Picromerus bidens Under Climate Change

2022 ◽  
Vol 9 ◽  
Author(s):  
Xinyue Gao ◽  
Qing Zhao ◽  
Jiufeng Wei ◽  
Hufang Zhang
Keyword(s):  
Natural Enemy ◽  
Leptinotarsa Decemlineata ◽  
Potential Distribution ◽  
Plant Production ◽  
Distribution Area ◽  
Economic Losses ◽  
Monitoring And Control ◽  
Maxent Model ◽  
Climatic Scenarios ◽  
And Control

The Colorado potato beetle (CPB), scientifically known as Leptinotarsa decemlineata, is a destructive quarantine pest that has invaded more than 40 countries and regions worldwide. It causes a 20–100% reduction in plant production, leading to severe economic losses. Picromerus bidens L. is a predatory insect that preys on CPB. This study used the MaxEnt model to predict the current and future potential distribution areas of CPB and P. bidens under different climatic scenarios to determine the possibility of using P. bidens as a natural enemy to control CPB. The possible introduction routes of CPB and P. bidens were subsequently predicted by combining their potential distribution with the current distribution of airports and ports. Notably, the potential distribution area of P. bidens was similar to that of CPB, suggesting that P. bidens could be used as a natural enemy to control CPB. Future changes in the suitable growth areas of CPB under different climate scenarios increased and decreased but were insignificant, while those of P. bidens decreased. Consequently, a reduction of the suitable habitats of P. bidens may cause a decrease in its population density, leading to a lack of adequate and timely prevention and control of invasive pests. Active measures should thus be enacted to minimize global warming and protect biodiversity. This study provides a theoretical basis and data support for early warning, monitoring, and control of the CPB spread.

scholarly journals Grapevine defoliation by Spodoptera frugiperda Smith, 1797 (Lepidoptera: Noctuidae) in Brazil

2022 ◽  
Vol 52 (7) ◽  
Author(s):  
Orcial Ceolin Bortolotto ◽  
Aline Pomari-Fernandes ◽  
Gilberto Rostirolla Batista de Souza
Keyword(s):  
Spodoptera Frugiperda ◽  
Host Plants ◽  
Control Strategies ◽  
Fall Armyworm ◽  
First Occurrence ◽  
Biological Aspects ◽  
And Control ◽  
Lepidoptera Noctuidae

ABSTRACT: The fall armyworm, Spodoptera frugiperda Smith, 1797 (Lepidoptera: Noctuidae), is a polyphagous pest that causes losses in several crops. The knowledge of host plants is essential for establishing management and control strategies. The present study reported the first occurrence of S. frugiperda in Brazilian grapevines. It is recommended that further studies should be carried out in the laboratory to understand the biological aspects of the damage to different structures (leaves and grapes). This information will be essential to assess the potential of S. frugiperda damage to vines.

scholarly journals Aerial, ground and chemigation spray deposition on corn for the control of spodoptera frugiperda (lepidoptera: noctuidae)

2013 ◽  
Vol 37 (2) ◽  
pp. 123-129
Author(s):  
João Paulo Arantes Rodrigues da Cunha ◽  
Ana Paula de Castro Nascimento
Keyword(s):  
Active Ingredient ◽  
Spodoptera Frugiperda ◽  
Zea Mays L ◽  
Spray Deposition ◽  
Sprinkler Irrigation ◽  
Plant Leaves ◽  
Corn Plant ◽  
Set Up ◽  
And Control ◽  
Lepidoptera Noctuidae

Pesticides can be applied by aircraft, ground-sprayers or sprinkler irrigation. However, selecting the best option is complicated by the limited number of studies comparing these techniques. Thus, the objective of this work was to study the chlorpyrifos insecticide deposition applied by aircraft (30 L ha-1), tractor-mounted sprayer (200 L ha-1) and chemigation (70,000 L ha-1) for the control of Spodoptera frugiperda (J.E. Smith) in two corn (Zea mays L.) populations (70,000 and 100,000 plants ha-1). Active ingredient residue on the corn plant leaves was evaluated by gas chromatography, immediately and ten days after the treatments. Armyworm numbers in each plot and control were also evaluated. The experiment was set up in randomized blocks with four replications. Aerial and ground applications of chlorpyrifos led to greater active ingredient deposition in the leaves than chemigation. Neither plant population (70,000 and 100,000 plants ha-1) affected the insecticide deposition in the corn leaves. S. frugiperda control was similar for all three application methods. Chemigation, however, resulted in less deposition on the plants and consequently in a greater insecticide loss to the soil, which should be considered in environmental impact.

scholarly journals Predicting the Distribution of the Invasive Species Leptocybe invasa: Combining MaxEnt and Geodetector Models

Insects ◽  
2021 ◽  
Vol 12 (2) ◽  
pp. 92
Author(s):  
Hua Zhang ◽  
Jinyue Song ◽  
Haoxiang Zhao ◽  
Ming Li ◽  
Wuhong Han
Keyword(s):  
Roc Curve ◽  
Potential Distribution ◽  
Distribution Range ◽  
Invasive Pest ◽  
Distribution Area ◽  
Total Contribution ◽  
Actual Distribution ◽  
Maxent Model ◽  
Average Temperature ◽  
Leptocybe Invasa

Leptocybe invasa is a globally invasive pest of eucalyptus plantations, and is steadily spread throughout China. Predicting the growth area of L. invasa in China is beneficial to the establishment of early monitoring, forecasting, and prevention of this pest. Based on 194 valid data points and 21 environmental factors of L. invasa in China, this study simulated the potential distribution area of L. invasa in China under three current and future climate scenarios (SSPs1–2.5, SSPs2–3.5, and SSPs5–8.5) via the MaxEnt model. The study used the species distribution model (SDM) toolbox in ArcGIS software to analyze the potential distribution range and change of L. invasa. The importance of crucial climate factors was evaluated by total contribution rate, knife-cut method, and environmental variable response curve, and the area under the receiver operating characteristic (ROC) curve was used to test and evaluate the accuracy of the model. The results showed that the simulation effect of the MaxEnt model is excellent (area under the ROC curve (AUC) = 0.982). The prediction showed that L. invasa is mainly distributed in Guangxi, Guangdong, Hainan, and surrounding provinces, which is consistent with the current actual distribution range. The distribution area of the potential high fitness zone of L. invasa in the next three scenarios increases by between 37.37% and 95.20% compared with the current distribution. Climate change affects the distribution of L. invasa, with the annual average temperature, the lowest temperature of the coldest month, the average temperature of the driest season, the average temperature of the coldest month, and the precipitation in the wettest season the most important. In the future, the core areas of the potential distribution of L. invasa in China will be located in Yunnan, Guangxi, Guangdong, and Hainan. They tend to spread to high latitudes (Hubei, Anhui, Zhejiang, Jiangsu, and other regions).

scholarly journals Global potential distribution prediction of Xanthium italicum based on Maxent model

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Yang Zhang ◽  
Jieshi Tang ◽  
Gang Ren ◽  
Kaixin Zhao ◽  
Xianfang Wang
Keyword(s):  
Potential Distribution ◽  
Invasive Plant ◽  
Climatic Conditions ◽  
Total Contribution ◽  
Factors Affecting ◽  
Maxent Model ◽  
Average Annual Temperature ◽  
Alien Invasive Plants ◽  
The Cost ◽  
And Control

AbstractAlien invasive plants pose a threat to global biodiversity and the cost of control continues to rise. Early detection and prediction of potential risk areas are essential to minimize ecological and socio-economic costs. In this study, the Maxent model was used to predict current and future climatic conditions to estimate the potential global distribution of the invasive plant Xanthium italicum. The model consists of 366 occurrence records (10 repeats, 75% for calibration and 25% for verification) and 10 climate prediction variables. According to the model forecast, the distribution of X. italicum was expected to shrink in future climate scenarios with human intervention, which may be mainly caused by the rise in global average annual temperature. The ROC curve showed that the AUC values of the training set and the test set are 0.965 and 0.906, respectively, indicating that the prediction result of this model was excellent. The contribution rates of annual mean temperature, monthly mean diurnal temperature range, standard deviation of temperature seasonal change and annual average precipitation to the geographical distribution of X. italicum were 65.3%, 11.2%, 9.0%, and 7.7%, respectively, and the total contribution rate was 93.2%. These four variables are the dominant environmental factors affecting the potential distribution of X. italicum, and the influence of temperature is greater than that of precipitation. Through our study on the potential distribution prediction of X. italicum under the future climatic conditions, it has contribution for all countries to strengthen its monitoring, prevention and control, including early warning.

EFEITO DO AUMENTO DA DENSIDADE DE LARVAS DE Spodoptera frugiperda EM MILHO CONVENCIONAL EM CASA DE VEGETAÇÃO

2017 ◽  
Vol 16 (3) ◽  
pp. 337
Author(s):  
LETÍCIA HELLWIG ◽  
ANDERSON DIONEI GRUTZMACHER ◽  
PATRÍCIA MARQUES DOS SANTOS ◽  
CALISC DE OLIVEIRA TRECHA ◽  
LAUREN BITTENCOURT MEDINA ◽  
...  
Keyword(s):  
Zea Mays ◽  
Spodoptera Frugiperda ◽  
Zea Mays L ◽  
Insect Pest ◽  
Control Level ◽  
Fall Armyworm ◽  
Level Control ◽  
Maize Production ◽  
Artificial Infestation ◽  
Lepidoptera Noctuidae

 RESUMO - A produção de milho tem sofrido grandes avanços, propiciando aumento de produtividade, no entanto, esta é diretamente afetada pelo ataque de insetos desde o plantio até a sua utilização. Neste contexto, Spodoptera frugiperda (J. E. Smith, 1797) (Lepidoptera: Noctuidae) é considerada o principal inseto-praga. Para a cultura do milho já existem níveis de controle definidos, entretanto, mesmo utilizando os já estabelecidos, ocorrem perdas na produção. Assim, o objetivo do estudo foi reavaliar o nível de dano de S. frugiperda em milho convencional BG7060, por meio de infestação artificial com diferentes densidades populacionais de lagartas (0, 1, 3, 5, 10, 15 e 20 lagartas planta-1) em plantas no estádio fenológico V4-V8 (folhas completamente expandidas) em condições de casa de vegetação. Os resultados obtidos evidenciaram que o aumento do número de lagartas de S. frugiperda por planta afeta todas as variáveis relacionadas à produtividade, exceto a altura de planta e comprimento da espiga, propiciando uma menor produtividade. Constatou-se que o nível de controle de S. frugiperda para o híbrido BG7060 no estádios V4-V8 é 29% de plantas atacadas em uma amostragem de 100 plantas, quando ocorre uma lagarta planta-1.Palavras-chave: nível de controle, monitoramento, manejo integrado de pragas, Zea mays L. LEVEL OF DAMAGE OF FALL ARMYWORM, Spodoptera frugiperda, IN CONVENTIONAL MAIZE IN GREENHOUSE CONDITIONS  ABSTRACT - The maize production has advanced considerably providing an increase in productivity, however, this is directly affected by the insect attack in all phases. In this context, the fall armyworm Spodoptera frugiperda (J. E. Smith, 1797) (Lepidoptera: Noctuidae) is considered the main insect-pest. There is a control levels set for the maize production, however, using the level of control already established, production losses occur. In this sense, the purposes of the study was re-evaluate the level of damage of the S. frugiperda in conventional maize, BG7060, through artificial infestation with different populational densities (0, 1, 3, 5, 10, 15 and 20 caterpillars plant-1), of plants at V4-V8 phenological stage (fully expanded leaves) in green house conditions. The results obtained highlighted that the increase in the number of caterpillars of S. frugiperda by plant affects all variables related to productivity, except the plant height and length of the ear, providing a smaller productivity. It was found that the control level of S. frugiperda for the BG7060 maize for V4-V8 stage is 29% of attacked plants in a sample of 100 plants, when there is one caterpillar per plant.Keywords: level control, monitoring, integrated pest management, Zea mays L.

scholarly journals Seasonal Dynamics of the Alien Invasive Insect Pest Spodoptera frugiperda Smith (Lepidoptera: Noctuidae) in Manica Province, Central Mozambique

Insects ◽  
2020 ◽  
Vol 11 (8) ◽  
pp. 512
Author(s):  
Albasini Caniço ◽  
António Mexia ◽  
Luisa Santos
Keyword(s):  
Spodoptera Frugiperda ◽  
Seasonal Dynamics ◽  
Insect Pest ◽  
Fall Armyworm ◽  
Dry Season ◽  
Maize Production ◽  
Invasive Insect ◽  
Cropping Season ◽  
Lepidoptera Noctuidae ◽  
Methods Of Control

The alien invasive insect pest Spodoptera frugiperda Smith (Lepidoptera: Noctuidae), commonly referred to as fall armyworm (FAW), is causing significant losses to maize production in Africa since its detection in 2016. Despite being the primary insect pest of the main food crop in the country, researchers have concentrated their efforts on methods of control, and there are no published studies on its seasonality which could assist farmers in delivering effective methods of control in periods of heavy infestations. The primary goal of this study was to assess the seasonal dynamics of FAW in maize fields. We conducted a field survey from May to August 2019 (dry season of the 2018/2019 cropping season) and in December 2019 and January 2020 (rainy season of the 2019/2020 cropping season) in 622 maize fields. In each field, 20 plants were selected in a “W” pattern and checked for the presence of FAW egg masses and/or larvae. Plants were also assessed for damage. Preliminary results show increased infestation, damages, and population density of FAW in the dry season. Our results suggest that early planting of maize in the primary cropping season may significantly reduce the infestation and damage by FAW when compared to the dry season.

scholarly journals Mapping Potential Distribution of Spodoptera frugiperda (Lepidoptera: Noctuidae) in Central Asia

Insects ◽  
2020 ◽  
Vol 11 (3) ◽  
pp. 172 ◽  
Author(s):  
Muhammad N. Baloch ◽  
Jingyu Fan ◽  
Muhammad Haseeb ◽  
Runzhi Zhang
Keyword(s):  
Central Asia ◽  
Spodoptera Frugiperda ◽  
Potential Distribution ◽  
Crop Production ◽  
Environmental Data ◽  
Minimum Convex Polygon ◽  
Maize Crop ◽  
Maxent Model ◽  
Modeling Approaches ◽  
High Degree

Spodoptera frugiperda is a serious agricultural pest native to tropical and subtropical areas of the Americas. It has a broad host suitability range, disperses rapidly, and has now invaded nearly 100 countries around the world by quickly establishing in the novel ecologies. Based on the native occurrence records and environmental variables, we predicted the potential geographic distribution of S. frugiperda in Central Asia using the MaxEnt model and the ArcGIS. Irrigation is considered to be the main factor for the maize crop production in the Central Asia; therefore, we sought to map the potential spread of S. frugiperda using two modeling approaches together with adjusted rainfall indices and environmental data from this region. The results showed that both approaches (MCP and Obs) could predict the potential distribution of S. frugiperda. The Observation points (Obs) approach gave predicted more conservative projections compared with the Minimum Convex Polygon (MCP) approach. Areas of potential distribution that were consistently identified by the two modeling approaches included Western Afghanistan, Southern Kazakhstan and Southern Turkmenistan. The Receiver Operating Characteristic (ROC) curve test presented herein provided reliable evidence that the MaxEnt model has a high degree of accuracy in predicting the invasion of S. frugiperda in Central Asia.

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