Evidence map›Paper›PMID 25567968›Full record

ArticleEvolutionary applications2011

Evolution in agriculture: the application of evolutionary approaches to the management of biotic interactions in agro-ecosystems.

Peter H Thrall, John G Oakeshott, Gary Fitt, Simon Southerton, Jeremy J Burdon, Andy Sheppard, Robyn J Russell, Myron Zalucki, Mikko Heino, R Ford Denison

Open access · goldAbstract read
In one paragraph

Article in Evolutionary applications, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers.

0numbers the graph read from it
0cells of the map it votes in
67citing papers in PubMed
18.8field-weighted citation impact, top 1% 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

67 citing papers in PubMed, 211 citations in OpenAlex.

  1. Review
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  4. Chinese Populations ofJournal of fungi (Basel, Switzerland) · 2024
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7 more citing papers are in PubMed but not listed here.

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

10 authors at 6 institutions in 3 countries.

Peter H ThrallCSIRO Plant Industry Canberra, ACT, Australia.
John G OakeshottCSIRO Ecosystem Sciences Canberra, ACT, Australia.
Gary FittCSIRO Ecosystem Sciences Indooroopilly, Qld, Australia.
Simon SouthertonCSIRO Plant Industry Canberra, ACT, Australia.
Jeremy J BurdonCSIRO Plant Industry Canberra, ACT, Australia.
Andy SheppardCSIRO Ecosystem Sciences Canberra, ACT, Australia.
Robyn J RussellCSIRO Ecosystem Sciences Canberra, ACT, Australia.
Myron ZaluckiThe University of Queensland, School of Integrative Biology Qld, Australia.
Mikko HeinoDepartment of Biology, University of Bergen Bergen, Norway.
R Ford DenisonUniversity of Minnesota, Ecology, Evolution, and Behavior St. Paul, MN, USA.
Commonwealth Scientific and Industrial Research Organisation · AUEcosystem Sciences · AUPlant Industry · AUUniversity of Bergen · NOUniversity of Minnesota · USUniversity of Queensland · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Anthropogenic impacts increasingly drive ecological and evolutionary processes at many spatio-temporal scales, demanding greater capacity to predict and manage their consequences. This is particularly true for agro-ecosystems, which not only comprise a significant proportion of land use, but which also involve conflicting imperatives to expand or intensify production while simultaneously reducing environmental impacts. These imperatives reinforce the likelihood of further major changes in agriculture over the next 30-40 years. Key transformations include genetic technologies as well as changes in land use. The use of evolutionary principles is not new in agriculture (e.g. crop breeding, domestication of animals, management of selection for pest resistance), but given land-use trends and other transformative processes in production landscapes, ecological and evolutionary research in agro-ecosystems must consider such issues in a broader systems context. Here, we focus on biotic interactions involving pests and pathogens as exemplars of situations where integration of agronomic, ecological and evolutionary perspectives has practical value. Although their presence in agro-ecosystems may be new, many traits involved in these associations evolved in natural settings. We advocate the use of predictive frameworks based on evolutionary models as pre-emptive management tools and identify some specific research opportunities to facilitate this. We conclude with a brief discussion of multidisciplinary approaches in applied evolutionary problems.

Indexed as

agro-ecosystembiological controlenvironmentgenetic modificationpathogenspestsproductivityresistancespecies interactionsweeds

Identifiers

PMID25567968
PMCPMC3352559
OpenAlexW1507675844

What OpenQuestion holds

Textmetadata
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.