Evidence map›Paper›PMID 32162459›Full record

ArticlePest management science2020

Evaluation of cultural control and resistance-breeding strategies for suppression of whitefly infestation of cassava at the landscape scale: a simulation modeling approach.

Hazel Parry, Andrew Kalyebi, Felix Bianchi, Peter Sseruwagi, John Colvin, Nancy Schellhorn, Sarina Macfadyen

Open access · hybridAbstract read
In one paragraph

Article in Pest management science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.9field-weighted citation impact, top 16% of its field
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

6 citing papers in PubMed, 14 citations in OpenAlex.

  1. Creating resistance to the whiteflyFrontiers in plant science · 2026
    Article
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  3. PeerJ · 2024
    Article
  4. Article
  5. Review
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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

7 authors at 5 institutions in 5 countries.

Hazel ParryCSIRO, Ecoscience Precinct, Brisbane, Queensland, Australia.ORCID https://orcid.org/0000-0002-6747-3182
Andrew KalyebiNational Crops Resources Research Institute, Kampala, Uganda.
Felix BianchiFarming Systems Ecology, Wageningen University and Research, Wageningen, The Netherlands.
Peter SseruwagiTanzania Agricultural Research Institute - Mikocheni, Dar es Salaam, Tanzania.
John ColvinNRI, University of Greenwich, Kent, UK.
Nancy SchellhornCSIRO, Ecoscience Precinct, Brisbane, Queensland, Australia.
Sarina MacfadyenCSIRO, Black Mountain, Canberra, Australian Capital Territory, Australia.
Commonwealth Scientific and Industrial Research Organisation · AUMikocheni Agricultural Research Institute · TZNational Agricultural Research Institute · UGUniversity of Greenwich · GBWageningen University & Research · NL

Funding

Bill and Melinda Gates Foundation OPP1058938
6 · The paper itself

Abstract

backgroundThe whitefly Bemisia tabaci is an important vector of virus diseases, impacting cassava production in East Africa. To date, breeding efforts in this region have focused on disease resistance. Here we use a spatially-explicit simulation model to explore how breeding strategies for whitefly resistance will influence the population dynamics of whitefly in the context of regional variation in cassava crop management practices.

resultsSimulations indicated that regions with a short cropping cycle and two cropping seasons per year were associated with high whitefly abundance. Nymph mortality and antixenosis resistance mechanisms were more effective than mechanisms that lead to longer whitefly development times. When spatial variation was introduced in heterogeneous landscapes, however, negative consequences of the antixenosis effect were observed in fields containing whitefly susceptible varieties, unless the proportion of whitefly resistant variety in the landscape was low (~10%) or the amount of matrix in the landscape was high (~75%).

conclusionWe show the importance of considering cropping regime and landscape management context when developing and deploying whitefly-resistant cassava varieties. Recommendations differ significantly between regions. There may also be unintended negative consequences of higher whitefly densities for whitefly susceptible varieties if uptake of the new variety in a landscape is high, depending on the mechanism of resistance and the landscape context. Furthermore, we show that in some cases, such as where there is substantial fallow combined with a short single-season crop, the management characteristics of the existing cropping regime alone may be effective at controlling whitefly populations. © 2020 The Authors. Pest Management Science published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.

Indexed as

HemipteraManihotAfrica, EasternAnimalsBreedingPlant Diseasescassava brown streak virus diseasecassava mosaic diseasecellular automatahost-plant resistanceLeslie matrix modelspatial simulationwhitefly-transmitted viruses

Identifiers

PMID32162459
PMCPMC7383508
OpenAlexW3012373974

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.