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

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 a...

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Autores principales: Thrall, Peter H, Oakeshott, John G, Fitt, Gary, Southerton, Simon, Burdon, Jeremy J, Sheppard, Andy, Russell, Robyn J, Zalucki, Myron, Heino, Mikko, Ford Denison, R
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Blackwell Publishing Ltd 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3352559/
https://www.ncbi.nlm.nih.gov/pubmed/25567968
http://dx.doi.org/10.1111/j.1752-4571.2010.00179.x
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author Thrall, Peter H
Oakeshott, John G
Fitt, Gary
Southerton, Simon
Burdon, Jeremy J
Sheppard, Andy
Russell, Robyn J
Zalucki, Myron
Heino, Mikko
Ford Denison, R
author_facet Thrall, Peter H
Oakeshott, John G
Fitt, Gary
Southerton, Simon
Burdon, Jeremy J
Sheppard, Andy
Russell, Robyn J
Zalucki, Myron
Heino, Mikko
Ford Denison, R
author_sort Thrall, Peter H
collection PubMed
description 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.
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spelling pubmed-33525592012-05-24 Evolution in agriculture: the application of evolutionary approaches to the management of biotic interactions in agro-ecosystems Thrall, Peter H Oakeshott, John G Fitt, Gary Southerton, Simon Burdon, Jeremy J Sheppard, Andy Russell, Robyn J Zalucki, Myron Heino, Mikko Ford Denison, R Evol Appl Original Article 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. Blackwell Publishing Ltd 2011-03 /pmc/articles/PMC3352559/ /pubmed/25567968 http://dx.doi.org/10.1111/j.1752-4571.2010.00179.x Text en © 2011 Blackwell Publishing Ltd
spellingShingle Original Article
Thrall, Peter H
Oakeshott, John G
Fitt, Gary
Southerton, Simon
Burdon, Jeremy J
Sheppard, Andy
Russell, Robyn J
Zalucki, Myron
Heino, Mikko
Ford Denison, R
Evolution in agriculture: the application of evolutionary approaches to the management of biotic interactions in agro-ecosystems
title Evolution in agriculture: the application of evolutionary approaches to the management of biotic interactions in agro-ecosystems
title_full Evolution in agriculture: the application of evolutionary approaches to the management of biotic interactions in agro-ecosystems
title_fullStr Evolution in agriculture: the application of evolutionary approaches to the management of biotic interactions in agro-ecosystems
title_full_unstemmed Evolution in agriculture: the application of evolutionary approaches to the management of biotic interactions in agro-ecosystems
title_short Evolution in agriculture: the application of evolutionary approaches to the management of biotic interactions in agro-ecosystems
title_sort evolution in agriculture: the application of evolutionary approaches to the management of biotic interactions in agro-ecosystems
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3352559/
https://www.ncbi.nlm.nih.gov/pubmed/25567968
http://dx.doi.org/10.1111/j.1752-4571.2010.00179.x
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