Does the certification of agriculture products promote the adoption of integrated pest management among apple growers in China?

Author(s):  
Rui Tong ◽  
Yan Wang ◽  
Yuchun Zhu ◽  
Yongqiang Wang
Author(s):  
J. R. Adams ◽  
G. J Tompkins ◽  
A. M. Heimpel ◽  
E. Dougherty

As part of a continual search for potential pathogens of insects for use in biological control or on an integrated pest management program, two bacilliform virus-like particles (VLP) of similar morphology have been found in the Mexican bean beetle Epilachna varivestis Mulsant and the house cricket, Acheta domesticus (L. ).Tissues of diseased larvae and adults of E. varivestis and all developmental stages of A. domesticus were fixed according to procedures previously described. While the bean beetles displayed no external symptoms, the diseased crickets displayed a twitching and shaking of the metathoracic legs and a lowered rate of activity.Examinations of larvae and adult Mexican bean beetles collected in the field in 1976 and 1977 in Maryland and field collected specimens brought into the lab in the fall and reared through several generations revealed that specimens from each collection contained vesicles in the cytoplasm of the midgut filled with hundreds of these VLP's which were enveloped and measured approximately 16-25 nm x 55-110 nm, the shorter VLP's generally having the greater width (Fig. 1).


2019 ◽  
Vol 30 (1) ◽  
pp. 25-32 ◽  
Author(s):  
Elizabeth H. Beers ◽  
Adrian Marshall ◽  
Jim Hepler ◽  
Josh Milnes

2004 ◽  
Vol 10 (3) ◽  
pp. 22-25
Author(s):  
Sally Y. Shelton ◽  
John E. Simmons ◽  
Tom J.K. Strang

HortScience ◽  
1998 ◽  
Vol 33 (3) ◽  
pp. 531b-531
Author(s):  
J. Nienhuis

REDCAHOR is the Spanish acronym for “Central American Vegetable Network.” Vegetables have traditionally been an important source of nutrients and vitamins in the diet in Central America. Vegetable production in this region is now changing as local consumers are demanding increased diversity and quality and international markets are expanding with “non-traditional” vegetable exports. The present restraints to expanded research and production of vegetables in the region include i) need for cultivars with increased insect and disease resistance, ii) poor and excessive use of pesticides, and iii) inadequate postharvest technology. In addition, there are few vegetable researchers in the region and response to their activities have not been coordinated. The goal of REDCAHOR is to develop a regional network of national institutions that can prioritize agendas and cooperate to maximize the impact of available resources. Establishment of a system of regional trials and cooperative regional programs in integrated pest management and plant breeding are currently under development. A series of regional workshops are planned, including integrated pest management, maintenance and use of genetic resources, organic production, and greenhouse production. In addition, REDCAHOR, in collaboration with the Escuela Agricola Panamerica in Honduras, will offer regional short-course training in vegetable breeding and genetics as well as vegetable production and management, including integrated pest management.


2019 ◽  
Vol 2019 ◽  
pp. 1-14 ◽  
Author(s):  
Yong He ◽  
Hong Zeng ◽  
Yangyang Fan ◽  
Shuaisheng Ji ◽  
Jianjian Wu

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).


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