Literature DB >> 19780985

Evolutionary-thinking in agricultural weed management.

Paul Neve1, Martin Vila-Aiub, Fabrice Roux.   

Abstract

Agricultural weeds evolve in response to crop cultivation. Nevertheless, the central importance of evolutionary ecology for understanding weed invasion, persistence and management in agroecosystems is not widely acknowledged. This paper calls for more evolutionarily-enlightened weed management, in which management principles are informed by evolutionary biology to prevent or minimize weed adaptation and spread. As a first step, a greater knowledge of the extent, structure and significance of genetic variation within and between weed populations is required to fully assess the potential for weed adaptation. The evolution of resistance to herbicides is a classic example of weed adaptation. Even here, most research focuses on describing the physiological and molecular basis of resistance, rather than conducting studies to better understand the evolutionary dynamics of selection for resistance. We suggest approaches to increase the application of evolutionary-thinking to herbicide resistance research. Weed population dynamics models are increasingly important tools in weed management, yet these models often ignore intrapopulation and interpopulation variability, neglecting the potential for weed adaptation in response to management. Future agricultural weed management can benefit from greater integration of ecological and evolutionary principles to predict the long-term responses of weed populations to changing weed management, agricultural environments and global climate.

Mesh:

Year:  2009        PMID: 19780985     DOI: 10.1111/j.1469-8137.2009.03034.x

Source DB:  PubMed          Journal:  New Phytol        ISSN: 0028-646X            Impact factor:   10.151


  43 in total

Review 1.  The Evolution and Ecology of Resistance in Cancer Therapy.

Authors:  Robert Gatenby; Joel Brown
Journal:  Cold Spring Harb Perspect Med       Date:  2018-03-01       Impact factor: 6.915

2.  Genetic control of a cytochrome P450 metabolism-based herbicide resistance mechanism in Lolium rigidum.

Authors:  R Busi; M M Vila-Aiub; S B Powles
Journal:  Heredity (Edinb)       Date:  2010-09-29       Impact factor: 3.821

Review 3.  The eco-evolutionary impacts of domestication and agricultural practices on wild species.

Authors:  Martin M Turcotte; Hitoshi Araki; Daniel S Karp; Katja Poveda; Susan R Whitehead
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2017-01-19       Impact factor: 6.237

Review 4.  The red queen in the corn: agricultural weeds as models of rapid adaptive evolution.

Authors:  C C Vigueira; K M Olsen; A L Caicedo
Journal:  Heredity (Edinb)       Date:  2012-11-28       Impact factor: 3.821

5.  Herbicides as weed control agents: state of the art: II. Recent achievements.

Authors:  Hansjoerg Kraehmer; Andreas van Almsick; Roland Beffa; Hansjoerg Dietrich; Peter Eckes; Erwin Hacker; Ruediger Hain; Harry John Strek; Hermann Stuebler; Lothar Willms
Journal:  Plant Physiol       Date:  2014-08-07       Impact factor: 8.340

6.  Seed dormancy cycling and mortality differ between two locally adapted populations of Arabidopsis thaliana.

Authors:  Froukje M Postma; Sverre Lundemo; Jon Ågren
Journal:  Ann Bot       Date:  2015-12-03       Impact factor: 4.357

Review 7.  Application of Evolutionary Principles to Cancer Therapy.

Authors:  Pedro M Enriquez-Navas; Jonathan W Wojtkowiak; Robert A Gatenby
Journal:  Cancer Res       Date:  2015-11-02       Impact factor: 12.701

8.  Fitness costs associated with multiple resistance to dicamba and atrazine in Chenopodium album.

Authors:  Hossein Ghanizadeh; Kerry C Harrington
Journal:  Planta       Date:  2018-11-07       Impact factor: 4.116

9.  In silico local QSAR modeling of bioconcentration factor of organophosphate pesticides.

Authors:  Purusottam Banjare; Balaji Matore; Jagadish Singh; Partha Pratim Roy
Journal:  In Silico Pharmacol       Date:  2021-04-04

10.  Adaptation at different points along antibiotic concentration gradients.

Authors:  Mato Lagator; Hildegard Uecker; Paul Neve
Journal:  Biol Lett       Date:  2021-05-12       Impact factor: 3.703

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