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浅议我国化学除草面临的挑战与未来发展 总被引:2,自引:0,他引:2
当前,在保证国家粮食安全而对杂草进行有效化学防治过程中,草害草害治理中出现一些新情况:随除草剂品种的更迭而农田杂草种群发生演替;外来恶性入侵杂草蔓延迅速,危害加重;杂草抗药性发展迅速,问题抗性机理复杂;除草剂土壤残留对后茬作物造成药害加剧,作物轮作风险增加;转基因耐除草剂作物的引进和发展,耐除草剂基因漂移等对环境安全及作物产量影响的风险加大。本文针对这些问题,提出进一步丰富草害治理与杂草科学发展的建议。 相似文献
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除草剂的应用为农业生产带来便利, 但长期、单一使用某一种或相同机制的除草剂也引发了杂草对除草剂的抗性问题。抗性杂草种类逐渐增加, 抗性形成机制复杂, 导致农田杂草的治理难度增加。杂草对除草剂的抗性机制主要分为两种, 一种是除草剂靶标位点基因的突变或过量表达导致的靶标抗性, 另一种是杂草对除草剂吸收、转运、固存和代谢等一个或多个生理过程发生变化导致的非靶标抗性。本文综述了杂草对9类不同作用方式除草剂的非靶标抗性机制的生理、生化和分子基础的研究进展, 以期为抗性杂草综合治理提供参考。 相似文献
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杂草对AHAS抑制剂的抗药性分子机理研究进展 总被引:3,自引:1,他引:2
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。 相似文献
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杂草抗药性及其治理策略研究进展 总被引:3,自引:0,他引:3
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。 相似文献
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磺酰脲类除草剂的使用与杂草抗药性 总被引:4,自引:0,他引:4
1970年首次报道了杂草对均三氮苯类除草剂产生抗性,杂草对除草剂的抗性也随着除草剂的使用而不断发展与蔓延。到目前为止,已有100种以上杂草对不同类型除草剂产生了抗性,其中涉及均三氮苯、联吡啶、苯氧羧酸、苯基脲、二硝基苯胺、芳氧苯氧丙酸、环己烯酮、三唑、咪唑啉酮、磺酰脲等,从而使杂草抗性成为除草剂品种开发及化学除草中的重要问题。在杂草对众多类型除草剂产生抗性的事例中,杂草对超高效除草剂磺酰脲类化合物的抗性最引人注目。 相似文献
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F K van Evert S Fountas D Jakovetic V Crnojevic I Travlos C Kempenaar 《Weed Research》2017,57(4):218-233
Farmers have access to many data‐intensive technologies to help them monitor and control weeds and pests. Data collection, data modelling and analysis, and data sharing have become core challenges in weed control and crop protection. We review the challenges and opportunities of Big Data in agriculture: the nature of data collected, Big Data analytics and tools to present the analyses that allow improved crop management decisions for weed control and crop protection. Big Data storage and querying incurs significant challenges, due to the need to distribute data across several machines, as well as due to constantly growing and evolving data from different sources. Semantic technologies are helpful when data from several sources are combined, which involves the challenge of detecting interactions of potential agronomic importance and establishing relationships between data items in terms of meanings and units. Data ownership is analysed using the ethical matrix method to identify the concerns of farmers, agribusiness owners, consumers and the environment. Big Data analytics models are outlined, together with numerical algorithms for training them. Advances and tools to present processed Big Data in the form of actionable information to farmers are reviewed, and a success story from the Netherlands is highlighted. Finally, it is argued that the potential utility of Big Data for weed control is large, especially for invasive, parasitic and herbicide‐resistant weeds. This potential can only be realised when agricultural scientists collaborate with data scientists and when organisational, ethical and legal arrangements of data sharing are established. 相似文献
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发展化学除草重视综合治理 总被引:4,自引:0,他引:4
我国农田杂草有250多种,全国农田受草害面积4300多万hm2,平均受草害减产13.4%,每年减产粮食1750万t,皮棉25.5万t和大豆50万t。传统农业生产采用机械作业及人力等除草。随着农村经济的发展,化学除草面积迅速扩大,全国农田化学除草面积从1975年的170万hm2增加到1995年的4133万hm2。但是,长期化学除草也带来了除草剂土壤残留对后茬作物药害、农田杂草种群更替和产生抗药性等新问题。必须重视农田杂草综合治理,通过采用各种有效的农业技术措施,为农作物保持良好的生态条件,结合化学除草才是最有效的防除杂草方法 相似文献
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The development of acetolactate synthase (ALS) tolerant sugar beet provides new opportunities for weed control in sugar beet cultivation. The system consists of an ALS?inhibiting herbicide (foramsulfuron + thiencarbazone‐methyl) and a herbicide‐tolerant sugar beet variety. Previously, the use of ALS‐inhibitors in sugar beet was limited due to the susceptibility of the crop to active ingredients from this mode of action. The postulated benefits of cultivation of the ALS‐tolerant sugar beet are associated with potential risks. Up to now, with no relevant proportion of herbicide‐tolerant crops in Germany, ALS‐inhibitors are used in many different crops. An additional use in sugar beet cultivation could increase the selection pressure for ALS‐resistant weeds. To evaluate the impact of varying intensity of ALS‐inhibitor use on two weed species (Alopecurus myosuroides and Tripleurospermum perforatum) in a crop rotation, field trials were conducted in Germany in two locations from 2014 to 2017. Weed densities, genetic resistance background and crop yields were annually assessed. The results indicate that it is possible to control ALS‐resistant weeds with an adapted herbicide strategy in a crop rotation including herbicide‐tolerant sugar beet. According to the weed density and species, the herbicide strategy must be extended to graminicide treatment in sugar beet, and a residual herbicide must be used in winter wheat. The spread of resistant biotypes in our experiments could not be attributed to the integration of herbicide‐tolerant cultivars, although the application of ALS‐inhibitors promoted the development of resistant weed populations. Annual use of ALS‐inhibitors resulted in significant high weed densities and caused seriously yield losses. Genetic analysis of surviving weed plants confirmed the selection of ALS‐resistant biotypes. 相似文献
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Rabiatuladawiyah Ruzmi Muhammad S. Ahmad‐Hamdani Baki B. Bakar 《Weed Biology and Management》2017,17(1):3-16
The management of weeds in Malaysian rice fields is very much herbicide‐based. The heavy reliance on herbicide for weed control by many rice‐growers arguably eventually has led to the development and evolution of herbicide‐resistant biotypes in Malaysian rice fields over the years. The continuous use of synthetic auxin (phenoxy group) herbicides and acetohydroxyacid synthase‐inhibiting herbicides to control rice weeds was consequential in leading to the emergence and prevalence of resistant weed biotypes. This review discusses the history and confirmed cases and incidence of herbicide‐resistant weeds in Malaysian rice fields. It also reviews the Clearfield Production System and its impact on the evolution of herbicide resistance among rice weed species and biotypes. This review also emphasizes the strategies and management options for herbicide‐resistant rice field weeds within the framework of herbicide‐based integrated weed management. These include the use of optimum tillage practices, certified clean seeds, increased crop competition through high seeding rates, crop rotation, the application of multiple modes of action of herbicides in annual rotations, tank mixtures and sequential applications to enable a broad spectrum of weed control, increase the selective control of noxious weed species in a field and help to delay the resistance evolution by reducing the selection pressure that is forced on those weed populations by a specific herbicidal mode of action. 相似文献
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Dr. E. Meinlschmidt 《Gesunde Pflanzen》2004,56(3):86-92
Over the past few years, there have been repeated reports from the Crop Protection Service in the German state of Saxony of the local appearance of alien weed species, especially in eastern Saxony. Neophytes such as velvetleaf (Abutilon theophrasti), thorn apple (Datura stramonium), Canadian fleabane (Conyza canadenzis), and apple of fern (Nicandra physalodes) have been particularly conspicuous. During recent years in agricultural areas in warmer parts of Europe, some of these weeds have developed into problematic species. Triennial field investigations into the control of velvetleaf in sugar beet have shown that herbicides registered in Germany for the control of weed species are not sufficiently effective every year. Velvetleaf proved to be extremely resistant to the herbicide treatments already tested, and only in one trial year was it possible to control it effectively using triflusulfuron. Owing to inadequate control in sugar beet, the spread of Abutilon theophrasti in agricultural fields can not be ruled out in the future. The possible reasons for it being categorised as invasive are discussed in the following article. Monitoring of possible introduction pathways and appearance of potentially invasive alien species and suitable control measures might at least hinder their introduction, establishment, and spread in agricultural areas. 相似文献
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Evolution of resistance to multiple herbicides with different sites of action and of nontarget site resistance (NTSR) often involves multiple genes. Thus, single‐gene analyses, typical in studies of target site resistance, are not sufficient for understanding the genetic architecture and dynamics of NTSR and multiple resistance. The genetics of weed adaptation to varied agricultural environments is also generally expected to be polygenic. Recent advances in whole‐genome sequencing as well as bioinformatic and statistical tools have made it possible to use population and quantitative genetics methods to expand our understanding of how resistance and other traits important for weed adaptation are genetically controlled at the individual and population levels, and to predict responses to selection pressure by herbicides and other environmental factors. The use of tools such as quantitative trait loci mapping, genome‐wide association studies, and genomic prediction will allow pest management scientists to better explain how pests adapt to control tools and how specific genotypes thrive and spread across agroecosystems and other human‐disturbed systems. The challenge will be to use this knowledge in developing integrated weed management systems that inhibit broad resistance to current and future weed‐control methods. © 2020 The Authors. Pest Management Science published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry. 相似文献
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Glyphosate-resistant soybean as a weed management tool: Opportunities and challenges 总被引:3,自引:0,他引:3
KRISHNA N. REDDY 《Weed Biology and Management》2001,1(4):193-202
Transgenic soybean, resistant to glyphosate, represents a revolutionary breakthrough in weed control technology. Transgenic soybean is the most dominant among all transgenic crops grown commercially in the world. In 2000, glyphosate-resistant (GR) soybean was planted to 25.8 million hectares globally, which amounts to 58% of the total global transgenic crop area. The United States soybean area planted with GR soybean has increased from 2% in 1996 to 68% in 2001. Glyphosate-resistant soybean as a weed management tool has provided farmers with the opportunity and flexibility to manage a broad spectrum of weeds. The use of glyphosate in GR soybean offers another alternative to manage weeds that are resistant to other herbicides. The rapid increase in GR soybean area is caused by the simplicity of using only one herbicide and a lower cost for weed control. Adoption of GR soybean has resulted in a dramatic decrease in the area treated with other herbicides. Glyphosphate-resistant soybean should not be relied on solely to the exclusion of other weed control methods, and should be used within integrated weed management systems. Over-reliance on GR soybean could lead to problems such as shifts in weed species and population, and the development of glyphosate-resistant weeds. The challenge is for soybean farmers to understand these problems, and for weed scientists to communicate with farmers that continuous use of glyphosate may diminish the opportunity of GR soybean as a weed management tool in the future. 相似文献