杂草对AHAS抑制剂的抗药性分子机理研究进展

除草剂在田间的重复及不合理使用,导致了杂草抗药性的发生和发展。其中AHAS抑制剂由于靶标单一,抗性发展十分迅速。截至2009年,已有103种杂草对AHAS抑制剂产生了抗药性,占19类化学除草剂总抗药性杂草生物型的近1/3。从AHAS基因突变位点及种类与杂草抗药性水平的关系、AHAS基因突变与AHAS酶活性的关系、AHAS基因拷贝数与杂草抗药性的关系以及AHAS酶与除草剂结合前后的三维结构等方面,综述了杂草对AHAS抑制剂产生抗药性的机理,旨在为AHAS抑制剂抗性研究提供参考。并对自然种群目标基因的等位基因检测技术(ECOTILLING)和衍生型酶切扩增多态性序列(dCAPS)两种通过检测等位基因多态性的手段快速诊断抗药性杂草的新技术进行了介绍,讨论了延缓杂草抗药性发生和发展的策略。     

杂草抗药性生物测定方法概述

综述了国内外除草剂抗性杂草的生物测定方法,阐述了抗药性杂草的检测鉴定体系的发展趋势,并指出我国在抗药性杂草监测等方面存在的不足.     

农田杂草抗药性及其检测鉴定方法

杂草的抗药性是杂草综合治理中存在的重大难题之一,本文根据国内外已报道的文献,对农田杂草抗药性的现状与发展,抗药性杂草产生的原因和机理以及抗药性杂草的检测鉴定方法作一综述。     

杂草抗药性及其治理策略研究进展

综述了杂草抗药性产生机理、杂草抗药性演化影响因素,并对其治理途径进行阐述,为杂草抗药性治理提供参考。除草剂抗药机制分为靶标抗性、非靶标抗性,其中靶标抗性包括除草剂作用位点改变、基因倍增及过量表达;非靶标抗性主要包括代谢解毒能力增强、屏蔽作用或与作用位点的隔离作用等。杂草抗药性演化受多种因素共同影响,不仅包括抗药性突变频率、除草剂选择压、杂草适合度及杂草种子库寿命四大因素,还与基因突变和遗传特征直接相关。在未来的杂草治理中,要经常进行田间杂草调查与鉴定,正确使用除草剂(交替使用、混用),并辅以合理的农艺管理措施来减缓杂草抗药性的演化速度。同时,应加强植物间化感作用的基础研究。     

我国水稻田杂草抗药性研究进展

水稻是我国最主要的粮食作物之一,杂草的危害严重影响了水稻的产量与品质。化学防除仍然是治理水稻田杂草最有效的途径。目前我国水稻田稗属杂草、千金子、马唐、雨久花、野慈姑、异型莎草、耳叶水苋、眼子菜、节节菜、萤蔺等多种杂草对二氯喹啉酸、五氟磺草胺、氰氟草酯、噁唑酰草胺、苄嘧磺隆、吡嘧磺隆、双草醚、噁草酮、乙氧氟草醚等多种常用除草剂产生了抗药性。面对日趋严重的水稻田抗药性杂草的危害,对抗药性杂草进行深入系统的研究以达到科学防治的目的显得尤为重要。本文总结了我国水稻田抗药性杂草的抗药性水平、靶标酶抗药性机理、代谢酶抗药性机理和其他抗药性机理,归纳了抗药性杂草的交互抗性、多抗性发生情况以及抗药性治理现状,分析了我们在杂草抗药性研究与治理方面面临的问题。     

抗草甘膦杂草及其检测方法发展现状

草甘膦在世界范围的多年大量使用已经引起了抗草甘膦杂草的产生。本文针对全球迄今为止发现的21种抗草甘膦杂草的发生、发展状况进行了论述。探讨了抗草甘膦杂草抗药性检测方法,分别从整株生物测定及生物化学等方面介绍了抗草甘膦杂草检测方法的研究现状,为抗草甘膦杂草检测方法的发展及其抗性监测方法的建立提供参考。     

抗药性杂草与治理

抗药性杂草对农田杂草治理和农业生产构成严重威胁,成为备受全球关注的严重问题。随着长期、大量使用相对有限的化学除草剂,全球抗药性杂草发展迅猛,目前已有217种杂草对化学除草剂产生了抗药性,我国抗药性杂草发展也十分迅猛。本文在介绍杂草抗药性基本概念、抗药性杂草发展过程、抗药性杂草现状的基础上,重点描述了抗药性杂草治理策略,以期为我国抗药性杂草研究和治理提供参考。     

2015年我国部分稻区杂草抗药性概况及治理建议

考察安徽、江西、湖南三省共计8个县（市、区）早稻田杂草的抗药性情况,对抗药性杂草的发生特点进行了初步总结,分析了稻田杂草抗药性迅速上升的原因,提出了相应的抗药性治理建议。     

全球抗草甘膦杂草的发生概况与检疫思考

随着草甘膦在全球范围内的大量使用,杂草对草甘膦的抗药性也不断增强,给农业生产带来了严重的经济损失。本文综述了草甘膦的作用机理和杂草产生抗性的机制,重点阐述了多种草甘膦抗性杂草发生、分布与扩散概况;统计了我国在进口货物中截获与产生抗药性杂草同种类同来源国杂草的数据,分析了抗药性杂草随进口货物传入我国的风险;针对为何要加强抗药性杂草的检疫工作给出理由,并对预防抗药性杂草传入提出了几点建议。     

磺酰脲类除草剂抗性简易测定方法初探

经小杯种子抗性检测法检验,4年诱抗的藜种子对单嘧磺酯、苯磺隆均产生了抗药性,抗性最高分别达到2．18倍和3．45倍。苯磺隆抗性诱导后的藜种子对单嘧磺酯表现出的抗性水平略低于对苯磺隆的抗性水平。小杯种子抗性检测法可通过对植物种子的抗性测定,确定植物是否存在抗药性或交互抗性,并能初步确定抗药性发生倍数及交互抗性发生水平,对田间生产中的杂草抗性及交互抗性的发生具有一定的指导作用。     

江苏省“十一五”农田草害治理进展及“十二五”农田除草策略

回顾了＂十一五＂江苏省农田杂草发生特点与防除工作进展,分析了当前农田杂草防除中存在的药害事故频发、杂草抗药性明显增强等问题,以及今后一段时期农田杂草发生新情况。提出了＂十二五＂农田杂草治理必须进一步推广有效的农业措施、优化化学除草技术、完善预警体系、强化安全用药培训的策略。     

Thermal weed control technologies for conservation agriculture—a review

Research and development activities on non-chemical weed control methods to date have mainly focused on mechanical and thermal applications. Selectivity in mechanical weed control is obtained using dynamically actuated harrows. Selectivity in thermal weed control is obtained through a certain heat tolerance of the crop. In conservation agriculture (CA), weed emergence is partially suppressed by constant soil cover with crops or cover crops. Large amounts of plant residues therefore remain on the soil, which make mechanical methods inefficient or difficult to implement. And thermal methods need to prevent not only crop damage but also fire from situationally dry plant residues. In this review, technologies that can potentially be used for in-crop weed control in CA are discussed. The technologies reviewed include spot-flaming, electric resistance heating, electromagnetic irradiation and steam/hot water application. Their evaluation focuses on efficiency and specificity (spatial precision). This review indicates that existing equipment does not fulfil the spatial precision required in CA and that further research and development is required on this topic. In particular, the authors suggest further research on the use of laser diodes, micro-flames and capacitive coupling of electric fields. It seems that the use of automated imaging systems for weed/crop differentiation is a prerequisite in CA to enable automatisation of weed control.     

A decade of weed research in the Indo-Canadian Dryland Project

Weed research within the All India Co-ordinated Research Project for Dryland Agriculture over the past decade has included weed surveys to determine the dominant weed flora in various regions and cropping systems of the country: weed interference studies to determine the losses caused by weeds in various crops, weed control studies involving traditional and improved tillage methods: chemical control of weeds with emphasis on herbicides available in India, and studies of integrated weed-management systems. Much useful information has been accumulated and improved weed-control practices have been developed. The strategies for weed-control research and technology transfer discussed in this paper may be helpful in developing or introducing improved weed control practices in other Third-World countries.     

Strategies for non-chemical weed control on public paved areas in Denmark

To be proactive in minimizing pesticide use, the public authorities in Denmark agreed in 1998 to phase out the use of pesticides on publicly owned areas by the end of 2002. A part of the agreement was an increasing focus on research into and development of new methods and implements for non-chemical weed control on paved areas. Due to a large increase in the costs of non-chemical weed control, the park authorities have to put the different types and locations of paved areas in order of priority to optimize the weed control effort. The present authors divided the paved areas into five weed control levels, dependent on placement, quality and use. For the 3 years 1999-2001, experiments with different non-chemical weed control methods were conducted on pavements at six locations in Denmark. The aim was to test the reaction of the weeds to different treatments and strategies. The efficacies of the methods were evaluated by analysis of digital images to estimate the fraction of the paved area covered with green vegetation (weed coverage). The weed coverage was used as the dependent variable in the subsequent statistical analysis. The independent variables in the model were incoming radiation, wear, area of joints in the pavement, the dying process of the weeds and the number of runs/applied energy of the mechanical or thermal weed control methods, respectively. The estimated parameters from the statistical model were used to build a simulation model, which was used to optimise five weed control strategies to fulfil the suggested weed control levels. In the suggested strategy for maximum weed control, 12 thermal weeding applications at 2-week intervals are suggested. The 'clean-up' strategy is based on one weed-brushing in late spring or early autumn.     

Non-chemical weed management in organic farming systems

Concern about potential increases in weed populations without the use of herbicides has limited the uptake of organic farming. However, as both public demands for organic produce and the profile of organic farming have increased in recent years, so too has the range of weed control options. Progress in cultural methods of weed control has included the use of novel weed-suppressing cover crops, and the identification of specific crop traits for weed suppression. Direct weed control has also seen developments, with new implements appearing on the market that could benefit in the future from sophisticated machine guidance and weed detection technology. Advances in novel techniques such as steaming have also been made. Many weed control operations in organic systems present the grower with conflicts, and both these and many of the most recent developments in organic weed control are reviewed. An increase in our understanding of weed biology and population dynamics underpins long-term improvements in sustainable weed control. The outcome of these studies will benefit conventional and organic growers alike. Emphasis is given to the need for flexibility and a combination of weed biology knowledge, cultural methods and direct weed control to maintain weed populations at manageable levels.     

Is the current state of the art of weed monitoring suitable for site‐specific weed management in arable crops?

Weed monitoring is the first step in any site‐specific weed management programme. A relatively large variety of platforms, cameras, sensors and image analysis procedures are available to detect and map weed presence/abundance at various times and spatial scales. Remote sensing from satellites or aircraft can provide accurate weed maps when the images are obtained at late weed phenological stages. Cameras located on unmanned aerial vehicles (UAVs) have been shown to be adequate for early‐season weed detection in a variety of wide‐row crops, providing images with relatively high spatial resolutions. Alternatively, weed detection/mapping systems from ground‐based platforms can achieve even higher resolutions using a variety of non‐imaging and imaging technologies. These ground systems are suited, in some cases, for real‐time site‐specific weed management. Despite this rich arsenal of technologies, their commercial adoption is, apparently, low. In this study, we describe the state of the art of remotely sensed and ground‐based weed monitoring in arable crops and the current level of adoption of these technologies, exploring major constraints for adoption and trying to identify research gaps and bottlenecks.     

Potential of weed seedbanks for managing weeds: a review of recent New Zealand research

Weed seedbanks are the primary source of weeds in cultivated soils. Some knowledge of the weed seedbank may therefore be appropriate for integrated weed management programs. It would also be very useful in planning herbicide programs and reducing the total herbicide use. However, a number of problems are inherent in the estimation of the seedbank size for arable weeds that usually have annual life cycles. In a long-term research project we have investigated the dynamics of weed seedbanks in corn fields for the past 8 years. Specific studies have included (i) developing cheap and efficient methods for estimating the weed seedbank; (ii) developing guidelines for efficient soil sampling (including the number and size of samples); (iii) influence of cultivation methods on weed seed distribution; (iv) mapping the spatial variability of the seedbank; (v) estimating the rate of seedbank decline for certain weed species; and (vi) assessing the potential of using the weed seed content in the soil to predict future weed problems. This paper reviews and summarizes the results of our research on the above aspects. The strong correlation between seedlings emerged in the greenhouse and seeds extracted in the laboratory for the most abundant weed species has demonstrated the potential for using the weed seed content of the soil to predict future weed infestations. The next step is to establish correlations with field emergence under commercial conditions using the sampling guidelines developed in our studies. Subsequently, we aim to offer the weed seedbank estimation as a commercial service to farmers for planning the most appropriate weed management options.     

Introduction to Weed Problems 1

I have approached the very wide topic of this paper by outlining the modern concept of weediness as traced from the beginnings of agriculture and then giving examples of some important present day weed problems from various parts of the world. Weeds have no place in nature and are essentially a reflection of the environment and of man's activities and desires. When these change, the weed flora responds and weed control methods may have to be modified. In developed agricultural systems, weed control has been revolutionised by herbicides which have also allowed major advances in methods of crop production and land and water management. As a result some classical weed species are no longer important whilst hitherto unimportant species have emerged as major problems. In many parts of the world there are obstacles to the introduction of chemical weed control techniques, and weed problems and control methods are much the same as they have always been. With the increasing world population and the need to provide more food, intensification of agriculture is inevitable. If weed control is not to be a limiting factor, more recognition and support must be given to weed science as an essential discipline of agricultural research.     

Weed Problems in Food Crops in Indonesia

Abstract

Losses due to weeds in food crop production are discussed. Types of weeds differ from one crop to another; environmental conditions, crop management and other factors affect weed growth.

Hand weeding is practised on small farms, even in upland crops where weed problems are more complicated. Some experiments with herbicides on food crops have been introduced by various institutions. Due to the rising cost of labour, especially on large-scale mechanised farms, chemical weed control will become more important.

It is suggested that applied research in new methods of weed control as well as basic research in weed biology related to agriculture should be encouraged.     

A review of non-chemical weed control on hard surfaces

Weed control research to date has mainly focused on arable land, especially regarding herbicides, but also regarding non‐chemical methods. Some of these experiences can be applied to hard surface areas. However, weeds on hard surface areas cause problems that are different from those on arable land. Additionally, crop tolerance does not need to be considered when choosing an appropriate weed control method on these areas. The aim of this review is to describe current knowledge of weeds and weed control methods on hard surface areas and reveal potential ways of advancement. One of the shortcomings of non‐chemical weed control on hard surfaces thus far, is a lack of proper definition of efficiency of the weed control methods. To obtain effective control, more frequently repeated treatments are required than chemical weed management, thereby increasing the costs of labour and fuel. One way to reduce costs can be by adjusting the level of control to the required visual street quality. Weeds are adapted to the hard surface environment and may be less susceptible to certain control methods. This review indicates that for efficient weed control on hard surfaces there is a need for combining weed control techniques, applying sensors for detecting weeds, adapting the energy dose to type of weed flora and prevention of weeds by improved construction of new surfaces.