Use of food attractants to monitor and forecast Spodoptera frugiperda (J. E. Smith) seasonal abundance in southern China

粘虫 夜蛾 生物 有害生物分析 丰度(生态学) 病虫害综合治理 中国 生态学 地理 植物 生物化学 考古 基因 重组DNA
作者
Wei He,Liying Wang,Chunyang Lv,Shishuai Ge,Haowen Zhang,Shan Jiang,Bo Chu,Xianming Yang,Kris A. G. Wyckhuys,Kongming Wu
出处
期刊:Journal of Pest Science [Springer Nature]
卷期号:96 (4): 1509-1521 被引量:8
标识
DOI:10.1007/s10340-023-01606-8
摘要

The fall armyworm [FAW, Spodoptera frugiperda (J. E. Smith)] is an important invasive pest of maize crops in Africa, Asia and the Middle East. To enable timely and effective pest management, accurate monitoring and forecasting of S. frugiperda populations is essential. In this study, we used food attractants to assess seasonal abundance of S. frugiperda in southern Yunnan (China) and determined adult age based upon ovarian development or testes size. During 2020–2021, the seasonal abundance of trapping S. frugiperda males with food attractants and sex pheromones were approximately the same at two field sites. Both trapping methods yielded S. frugiperda males of different ages—with an identical age structure for both trap types. The proportion of females trapped with food attractants was about 80%, which was significantly higher than that of males. S. frugiperda populations at two field sites were composed of immigrants that either originated in central Yunnan or in eastern Myanmar. Based upon field-level recordings of adult reproductive state, models reliably anticipated S. frugiperda fecundity dynamics. Next, drawing upon meteorological data and FAW adult age, migration trajectories were established for S. frugiperda immigrant populations. Overall, these novel (food-based) monitoring and forecasting tools can improve integrated pest management of S. frugiperda in China and abroad.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
刚刚
1秒前
1秒前
1秒前
Hina完成签到,获得积分10
2秒前
4秒前
DrQyQ完成签到,获得积分10
4秒前
KKKZ发布了新的文献求助10
4秒前
4秒前
playpp完成签到,获得积分10
5秒前
5秒前
文静的海发布了新的文献求助10
5秒前
5秒前
土豆泥泥发布了新的文献求助10
6秒前
chem001完成签到,获得积分10
6秒前
xiaogui发布了新的文献求助10
6秒前
Tobin发布了新的文献求助10
8秒前
8秒前
9秒前
量子星尘发布了新的文献求助10
9秒前
邹小静完成签到 ,获得积分20
10秒前
10秒前
10秒前
Aa123321完成签到,获得积分10
12秒前
12秒前
苗条青槐完成签到,获得积分10
13秒前
海绵宝宝发布了新的文献求助10
14秒前
luotao应助文静的海采纳,获得10
14秒前
123关注了科研通微信公众号
14秒前
NexusExplorer应助穆振家采纳,获得10
14秒前
CodeCraft应助超帅的斌斌采纳,获得10
14秒前
14秒前
16秒前
斯文败类应助高院士采纳,获得10
17秒前
yznfly应助aaa采纳,获得30
19秒前
北风完成签到,获得积分10
19秒前
19秒前
Lin完成签到,获得积分10
19秒前
20秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Binary Alloy Phase Diagrams, 2nd Edition 8000
Encyclopedia of Reproduction Third Edition 3000
Comprehensive Methanol Science Production, Applications, and Emerging Technologies 2000
From Victimization to Aggression 1000
Translanguaging in Action in English-Medium Classrooms: A Resource Book for Teachers 700
Exosomes Pipeline Insight, 2025 500
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5649821
求助须知:如何正确求助?哪些是违规求助? 4779250
关于积分的说明 15050421
捐赠科研通 4808796
什么是DOI,文献DOI怎么找? 2571853
邀请新用户注册赠送积分活动 1528134
关于科研通互助平台的介绍 1486877