Evidence map›Paper›PMID 35139216›Full record

ArticleJournal of economic entomology2022

Exploring the Dynamics of Virulent and Avirulent Aphids: A Case for a 'Within Plant' Refuge.

Aniket Banerjee, Ivair Valmorbida, Matthew E O'Neal, Rana Parshad

Abstract read
In one paragraph

Article in Journal of economic entomology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Aniket BanerjeeDepartment of Mathematics, Iowa State University, Ames, IA, USA.
Ivair ValmorbidaDepartment of Entomology, Iowa State University, Ames, IA, USA.ORCID 0000-0002-5556-6832
Matthew E O'NealDepartment of Entomology, Iowa State University, Ames, IA, USA.
Rana ParshadDepartment of Mathematics, Iowa State University, Ames, IA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The soybean aphid, Aphis glycines (Hemiptera: Aphididae), is an invasive pest that can cause severe yield loss to soybeans in the North Central United States. A tactic to counter this pest is the use of aphid-resistant soybean varieties. However, the frequency of virulent biotypes that can survive on resistant varieties is expected to increase as more farmers use these varieties. Soybean aphids can alter soybean physiology primarily by two mechanisms, feeding facilitation, and the obviation of resistance, favoring subsequent colonization by additional conspecifics. We developed a nonlocal, differential equation population model to explore the dynamics of these biological mechanisms on soybean plants coinfested with virulent and avirulent aphids. We then use demographic parameters from laboratory experiments to perform numerical simulations via the model. We used this model to determine that initial conditions are an important factor in the season-long cooccurrence of both biotypes. The initial population of both biotypes above the resistance threshold or avirulent aphid close to resistance threshold and high virulent aphid population results in coexistence of the aphids throughout the season. These simulations successfully mimicked aphid dynamics observed in the field- and laboratory-based microcosms. The model showed an increase in colonization of virulent aphids increases the likelihood that aphid resistance is suppressed, subsequently increasing the survival of avirulent aphids. This interaction produced an indirect, positive interaction between the biotypes. These results suggest the potential for a 'within plant' refuge that could contribute to the sustainable use of aphid-resistant soybeans.

Indexed as

AphidsAnimalsGlycine maxSeasonsbiotypeinsecticide-resistant managementnonlocal ODE modelsoybean

Identifiers

PMID35139216
PMCPMC8827328

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.