Jasper Kanomanyanga , Chun Liu , Stephen Moss , Eric Ober , John Cussans , Shingirai Mudare , Irsa Ejaz , Mette Sønderskov , Shaun Coutts
{"title":"Integrating weed seed loss mechanisms in regenerative agriculture for more sustainable weed management","authors":"Jasper Kanomanyanga , Chun Liu , Stephen Moss , Eric Ober , John Cussans , Shingirai Mudare , Irsa Ejaz , Mette Sønderskov , Shaun Coutts","doi":"10.1016/j.agee.2025.110027","DOIUrl":null,"url":null,"abstract":"<div><div>The Green Revolution significantly increased crop yields but relied heavily on synthetic herbicides and intensive farming. Despite growing interest in more sustainable agriculture, weed management in regenerative agricultural systems remains challenging, as it implies a reduced reliance on both herbicide use and intensive tillage. This review explores the potential of weed seed loss (WSL) mechanisms, including weed seed predation, seed shedding prevention, seed capture and destruction, microbial and allelochemical-mediated seed decay, and germination-driven losses, as ecologically sustainable tools for regenerative agriculture. Natural and agronomic WSL practices contribute 20–99 % of annual seedbank reductions. However, their success depends on strategic integration within holistic, context-specific farming systems. A strategic combination of WSL mechanisms and appropriate herbicide-based programs is recommended to disrupt weed life cycles and delay herbicide resistance. By bridging ecological principles with practical innovations, WSL mechanisms offer a pathway toward resilient, sustainable farming systems that balance food production with a positive contribution to ecosystem services.</div></div>","PeriodicalId":7512,"journal":{"name":"Agriculture, Ecosystems & Environment","volume":"396 ","pages":"Article 110027"},"PeriodicalIF":6.4000,"publicationDate":"2025-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Agriculture, Ecosystems & Environment","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0167880925005596","RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AGRICULTURE, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
The Green Revolution significantly increased crop yields but relied heavily on synthetic herbicides and intensive farming. Despite growing interest in more sustainable agriculture, weed management in regenerative agricultural systems remains challenging, as it implies a reduced reliance on both herbicide use and intensive tillage. This review explores the potential of weed seed loss (WSL) mechanisms, including weed seed predation, seed shedding prevention, seed capture and destruction, microbial and allelochemical-mediated seed decay, and germination-driven losses, as ecologically sustainable tools for regenerative agriculture. Natural and agronomic WSL practices contribute 20–99 % of annual seedbank reductions. However, their success depends on strategic integration within holistic, context-specific farming systems. A strategic combination of WSL mechanisms and appropriate herbicide-based programs is recommended to disrupt weed life cycles and delay herbicide resistance. By bridging ecological principles with practical innovations, WSL mechanisms offer a pathway toward resilient, sustainable farming systems that balance food production with a positive contribution to ecosystem services.
期刊介绍:
Agriculture, Ecosystems and Environment publishes scientific articles dealing with the interface between agroecosystems and the natural environment, specifically how agriculture influences the environment and how changes in that environment impact agroecosystems. Preference is given to papers from experimental and observational research at the field, system or landscape level, from studies that enhance our understanding of processes using data-based biophysical modelling, and papers that bridge scientific disciplines and integrate knowledge. All papers should be placed in an international or wide comparative context.