Weed Management in 2050: Perspectives on the Future of Weed Science

The discipline of weed science is at a critical juncture. Decades of efficient chemical weed control have led to a rise in the number of herbicide-resistant weed populations, with few new herbicides with unique modes of action to counter this trend and often no economical alternatives to herbicides...

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Veröffentlicht in:Weed science 2018-05, Vol.66 (3), p.275-285
Hauptverfasser: Westwood, James H, Charudattan, Raghavan, Duke, Stephen O, Fennimore, Steven A, Marrone, Pam, Slaughter, David C, Swanton, Clarence, Zollinger, Richard
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container_title Weed science
container_volume 66
creator Westwood, James H
Charudattan, Raghavan
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Fennimore, Steven A
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Slaughter, David C
Swanton, Clarence
Zollinger, Richard
description The discipline of weed science is at a critical juncture. Decades of efficient chemical weed control have led to a rise in the number of herbicide-resistant weed populations, with few new herbicides with unique modes of action to counter this trend and often no economical alternatives to herbicides in large-acreage crops. At the same time, the world population is swelling, necessitating increased food production to feed an anticipated 9 billion people by the year 2050. Here, we consider these challenges along with emerging trends in technology and innovation that offer hope of providing sustainable weed management into the future. The emergence of natural product leads in discovery of new herbicides and biopesticides suggests that new modes of action can be discovered, while genetic engineering provides additional options for manipulating herbicide selectivity and creating entirely novel approaches to weed management. Advances in understanding plant pathogen interactions will contribute to developing new biological control agents, and insights into plant–plant interactions suggest that crops can be improved by manipulating their response to competition. Revolutions in computing power and automation have led to a nascent industry built on using machine vision and global positioning system information to distinguish weeds from crops and deliver precision weed control. These technologies open multiple possibilities for efficient weed management, whether through chemical or mechanical mechanisms. Information is also needed by growers to make good decisions, and will be delivered with unprecedented efficiency and specificity, potentially revolutionizing aspects of extension work. We consider that meeting the weed management needs of agriculture by 2050 and beyond is a challenge that requires commitment by funding agencies, researchers, and students to translate new technologies into durable weed management solutions. Integrating old and new weed management technologies into more diverse weed management systems based on a better understanding of weed biology and ecology can provide integrated weed management and resistance management strategies that will be more sustainable than the technologies that are now failing.
doi_str_mv 10.1017/wsc.2017.78
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Advances in understanding plant pathogen interactions will contribute to developing new biological control agents, and insights into plant–plant interactions suggest that crops can be improved by manipulating their response to competition. Revolutions in computing power and automation have led to a nascent industry built on using machine vision and global positioning system information to distinguish weeds from crops and deliver precision weed control. These technologies open multiple possibilities for efficient weed management, whether through chemical or mechanical mechanisms. Information is also needed by growers to make good decisions, and will be delivered with unprecedented efficiency and specificity, potentially revolutionizing aspects of extension work. 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Advances in understanding plant pathogen interactions will contribute to developing new biological control agents, and insights into plant–plant interactions suggest that crops can be improved by manipulating their response to competition. Revolutions in computing power and automation have led to a nascent industry built on using machine vision and global positioning system information to distinguish weeds from crops and deliver precision weed control. These technologies open multiple possibilities for efficient weed management, whether through chemical or mechanical mechanisms. Information is also needed by growers to make good decisions, and will be delivered with unprecedented efficiency and specificity, potentially revolutionizing aspects of extension work. 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subjects Agricultural management
Agricultural production
Agriculture
Automation
Big Data
Biological control
Biology
biopesticides
competition
Crops
Ecology
Food
Food production
Genetic engineering
Global positioning systems
GPS
Herbicide resistance
Herbicides
Information systems
information technology
Innovations
Life sciences
Machine vision
Management systems
Natural products
New technology
novel herbicides
Organic chemistry
Pesticides
Plant pathology
Population
precision agriculture
Product development
robotics
student training
Students
SYMPOSIUM
Trends
Weed control
Weeds
World population
title Weed Management in 2050: Perspectives on the Future of Weed Science
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