Evidence map›Paper›PMID 26640518›Full record

ArticleEvolutionary applications2015

Epidemiological and evolutionary management of plant resistance: optimizing the deployment of cultivar mixtures in time and space in agricultural landscapes.

Frédéric Fabre, Elsa Rousseau, Ludovic Mailleret, Benoît Moury

Abstract read
In one paragraph

Article in Evolutionary applications, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed.

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  9. Virus epidemics, plant-controlled population bottlenecks and the durability of plant resistance.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2019
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  19. Frontiers in plant science · 2016
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Frédéric FabreUMR 1065 Unité Santé et Agroécologie du Vignoble, INRA Villenave d'Ornon Cedex, France.
Elsa RousseauBiocore Team, INRIA Sophia Antipolis, France ; UMR 1355 Institut Sophia Agrobiotech, INRA Sophia Antipolis, France ; UMR 7254 Institut Sophia Agrobiotech, Université Nice Sophia Antipolis Sophia Antipolis, France ; UMR 7254 Institut Sophia Agrobiotech, CNRS Sophia Antipolis, France ; UR 407 Pathologie Végétale, INRA Montfavet, France.
Ludovic MailleretBiocore Team, INRIA Sophia Antipolis, France ; UMR 1355 Institut Sophia Agrobiotech, INRA Sophia Antipolis, France ; UMR 7254 Institut Sophia Agrobiotech, Université Nice Sophia Antipolis Sophia Antipolis, France ; UMR 7254 Institut Sophia Agrobiotech, CNRS Sophia Antipolis, France.
Benoît MouryUR 407 Pathologie Végétale, INRA Montfavet, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The management of genes conferring resistance to plant-pathogens should make it possible to control epidemics (epidemiological perspective) and preserve resistance durability (evolutionary perspective). Resistant and susceptible cultivars must be strategically associated according to the principles of cultivar mixture (within a season) and rotation (between seasons). We explored these questions by modeling the evolutionary and epidemiological processes shaping the dynamics of a pathogen population in a landscape composed of a seasonal cultivated compartment and a reservoir compartment hosting pathogen year-round. Optimal deployment strategies depended mostly on the molecular basis of plant-pathogen interactions and on the agro-ecological context before resistance deployment, particularly epidemic intensity and landscape connectivity. Mixtures were much more efficient in landscapes in which between-field infections and infections originating from the reservoir were more prevalent than within-field infections. Resistance genes requiring two mutations of the pathogen avirulence gene to be broken down, rather than one, were particularly useful when infections from the reservoir predominated. Combining mixture and rotation principles were better than the use of the same mixture each season as (i) they controlled epidemics more effectively in situations in which within-field infections or infections from the reservoir were frequent and (ii) they fulfilled the epidemiological and evolutionary perspectives.

Indexed as

evolutionary epidemiologyfunctional connectivityheterogeneity of selectionlandscape epidemiologymosaic strategyqualitative resistanceresistance durabilityrotation strategy

Identifiers

PMID26640518
PMCPMC4662345

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Registered trials

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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.