Impact of oilseed rape crop management systems on the spatial distribution of Brassicogethes aeneus (Fabricius 1775): Implications for integrated pest management

2016 ◽  
Vol 89 ◽  
pp. 129-138 ◽  
Author(s):  
Tanja Gotlin Čuljak ◽  
Renata Pernar ◽  
Ivan Juran ◽  
Mario Ančić ◽  
Renata Bažok
Keyword(s):  
Spatial Distribution ◽  
Integrated Pest Management ◽  
Pest Management ◽  
Oilseed Rape ◽  
Crop Management ◽  
Management Systems ◽  
Brassicogethes Aeneus ◽  
Crop Management Systems

scholarly journals Evaluation of environmentally-friendly crop management systems based on very early sowing dates for winter oilseed rape in France

Agronomie ◽  
2003 ◽  
Vol 23 (8) ◽  
pp. 725-736 ◽  
Author(s):  
Jean-Fran�ois Dejoux ◽  
Jean-Marc Meynard ◽  
Raymond Reau ◽  
Romain Roche ◽  
Patrick Saulas
Keyword(s):  
Oilseed Rape ◽  
Crop Management ◽  
Environmentally Friendly ◽  
Management Systems ◽  
Winter Oilseed Rape ◽  
Sowing Dates ◽  
Crop Management Systems

Spatial distribution of pest insects in oilseed rape: implications for integrated pest management

2003 ◽  
Vol 95 (2-3) ◽  
pp. 509-521 ◽  
Author(s):  
Andrew W Ferguson ◽  
Zdisław Klukowski ◽  
Barbara Walczak ◽  
Suzanne J Clark ◽  
Moira A Mugglestone ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Integrated Pest Management ◽  
Pest Management ◽  
Oilseed Rape ◽  
Pest Insects

scholarly journals Application of Deep Learning in Integrated Pest Management: A Real-Time System for Detection and Diagnosis of Oilseed Rape Pests

2019 ◽  
Vol 2019 ◽  
pp. 1-14 ◽  
Author(s):  
Yong He ◽  
Hong Zeng ◽  
Yangyang Fan ◽  
Shuaisheng Ji ◽  
Jianjian Wu
Keyword(s):  
Deep Learning ◽  
Integrated Pest Management ◽  
Pest Management ◽  
Real Time ◽  
Oilseed Rape ◽  
Data Augmentation ◽  
Low Cost ◽  
Response Speed ◽  
Original Model ◽  
Real Time System

In this paper, we proposed an approach to detect oilseed rape pests based on deep learning, which improves the mean average precision (mAP) to 77.14%; the result increased by 9.7% with the original model. We adopt this model to mobile platform to let every farmer able to use this program, which will diagnose pests in real time and provide suggestions on pest controlling. We designed an oilseed rape pest imaging database with 12 typical oilseed rape pests and compared the performance of five models, SSD w/Inception is chosen as the optimal model. Moreover, for the purpose of the high mAP, we have used data augmentation (DA) and added a dropout layer. The experiments are performed on the Android application we developed, and the result shows that our approach surpasses the original model obviously and is helpful for integrated pest management. This application has improved environmental adaptability, response speed, and accuracy by contrast with the past works and has the advantage of low cost and simple operation, which are suitable for the pest monitoring mission of drones and Internet of Things (IoT).

scholarly journals RNAi efficacy is enhanced by chronic dsRNA feeding in pollen beetle

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Jonathan Willow ◽  
Liina Soonvald ◽  
Silva Sulg ◽  
Riina Kaasik ◽  
Ana Isabel Silva ◽  
...  
Keyword(s):  
Rna Interference ◽  
Pest Management ◽  
Oilseed Rape ◽  
Growth Stages ◽  
Short Term ◽  
Pollen Beetle ◽  
Brassicogethes Aeneus ◽  
Crop Growth Stages ◽  
Insecticidal Compounds ◽  
Significant Mortality

AbstractDouble-stranded RNAs (dsRNAs) represent a promising class of biosafe insecticidal compounds. We examined the ability to induce RNA interference (RNAi) in the pollen beetle Brassicogethes aeneus via anther feeding, and compared short-term (3 d) to chronic (17 d) feeding of various concentrations of dsRNA targeting αCOP (dsαCOP). In short-term dsαCOP feeding, only the highest concentration resulted in significant reductions in B. aeneus survival; whereas in chronic dsαCOP feeding, all three concentrations resulted in significant mortality. Chronic dsαCOP feeding also resulted in significantly greater mortality compared to short-term feeding of equivalent dsαCOP concentrations. Our results have implications for the economics and development of dsRNA spray approaches for managing crop pests, in that multiple lower-concentration dsRNA spray treatments across crop growth stages may result in greater pest management efficacy, compared to single treatments using higher dsRNA concentrations. Furthermore, our results highlight the need for research into the development of RNAi cultivars for oilseed rape protection, given the enhanced RNAi efficacy resulting from chronic, compared to short-term, dsRNA feeding in B. aeneus.

Extension Implementation of Integrated Pest Management Systems

Weed Science ◽  
1982 ◽  
Vol 30 (S1) ◽  
pp. 48-53 ◽  
Author(s):  
B. D. Blair ◽  
J. V. Parochetti
Keyword(s):  
Integrated Pest Management ◽  
Pest Management ◽  
Pest Control ◽  
Control Technique ◽  
Management Systems ◽  
Control Techniques ◽  
Pesticide Management ◽  
Chemical Pesticide ◽  
Environmentally Sound ◽  
Pest Management Systems

A considerable amount of scientific time has been spent defining Integrated Pest Management (IPM). The following is quoted from an Extension Committee on Organization and Policy publication (4): “Integrated Pest Management (IPM) is a system that utilizes all suitable pest control techniques and methods to keep pest populations below economically injurious levels. Each pest control technique must be environmentally sound and compatible with production and user objectives. Integrated Pest Management is more than chemical pesticide management. In many cases it includes biological, cultural, and sanitary control practices for all pest complexes.”

scholarly journals Soil and crop management systems that ameliorate damage caused by decades of dryland agroecosystem mismanagement

2020 ◽  
Vol 112 (5) ◽  
pp. 3227-3238 ◽  
Author(s):  
G. A. Peterson ◽  
D. G. Westfall ◽  
M. E. Schipanski ◽  
S. J. Fonte
Keyword(s):  
Crop Management ◽  
Management Systems ◽  
Crop Management Systems
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