Back

Monitoring systems for resistance to plant protection products across the world: Between redundancy and complementarity

Walker, A.-S.

2020-08-03 plant biology
10.1101/2020.07.30.228239 bioRxiv
Show abstract

BACKGROUNDMonitoring resistance to Plant Protection Products (PPPs) is crucial for understanding the evolution of resistances in bioagressors, thereby allowing scientists to design sound bioagressor management strategies. Globally, resistance monitoring is implemented by a wide range of actors that fall into three distinct categories: academic, governmental, and private. The purpose of this study was to investigate worldwide diversity in PPP resistance monitoring systems, and to shed light on their different facets. RESULTSA large survey involving 162 experts from 48 countries made it possible to identify and analyze 250 resistance monitoring systems. Through an in-depth analysis, the features of the different monitoring systems were identified. The main factor differentiating monitoring systems was essentially the capabilities (funding, manpower, technology, etc.) of the actors involved in each system. In most countries, and especially in those with a high Human Development Index, academic, governmental, and private monitoring systems coexist. Overall, systems focus far more on monitoring established resistances than on the detection of emerging resistances. Governmental and private resistance monitoring systems generally have considerable capacities to generate data, whereas academic resistance monitoring systems are more specialized. Governmental actors federate and enroll a wider variety of stakeholders. CONCLUSIONThe results show functional complementarities between the coexisting actors in countries where they coexist. We suggest PPP resistance monitoring might be enhanced if the different actors focus more on detecting emerging resistances (and associated benefits) and increase collaborative and collective efforts and transparency.

Matching journals

The top 6 journals account for 50% of the predicted probability mass.

1
PLANTS, PEOPLE, PLANET
27 papers in training set
Top 0.1%
29.1%
2
PLOS ONE
5266 papers in training set
Top 28%
5.6%
3
eLife
5828 papers in training set
Top 20%
5.6%
4
Peer Community Journal
281 papers in training set
Top 0.9%
4.9%
5
PeerJ
308 papers in training set
Top 2%
3.5%
6
Evolutionary Applications
108 papers in training set
Top 0.5%
3.3%
50% of probability mass above
7
Pest Management Science
36 papers in training set
Top 0.2%
3.3%
8
Nature Communications
5641 papers in training set
Top 35%
3.2%
9
Global Ecology and Conservation
25 papers in training set
Top 0.3%
2.7%
10
Scientific Reports
3612 papers in training set
Top 46%
2.2%
11
Frontiers in Plant Science
256 papers in training set
Top 3%
2.2%
12
Science of The Total Environment
186 papers in training set
Top 2%
2.0%
13
Journal of Applied Microbiology
20 papers in training set
Top 0.3%
1.9%
14
One Health
29 papers in training set
Top 0.3%
1.8%
15
Phytopathology®
31 papers in training set
Top 0.3%
1.8%
16
Agriculture, Ecosystems & Environment
15 papers in training set
Top 0.2%
1.5%
17
Insects
42 papers in training set
Top 0.5%
1.1%
18
Plant Disease
23 papers in training set
Top 0.2%
1.1%
19
BMC Public Health
158 papers in training set
Top 4%
1.1%
20
Proceedings of the National Academy of Sciences
2444 papers in training set
Top 37%
1.1%
21
PLOS Global Public Health
344 papers in training set
Top 7%
1.0%
22
PLOS Neglected Tropical Diseases
466 papers in training set
Top 5%
0.9%
23
BMC Biology
265 papers in training set
Top 5%
0.9%
24
Animals
23 papers in training set
Top 0.8%
0.9%
25
Viruses
332 papers in training set
Top 4%
0.9%
26
Plant Pathology
18 papers in training set
Top 0.2%
0.9%
27
International Journal for Parasitology
26 papers in training set
Top 0.7%
0.6%