苏州地区机插水稻病虫草害发生特点、原因与对策研究

通过定点系统调查与大面积普查相结合的方式,查明了苏州地区机插水稻田主要病虫草害的发生为害规律,分析了该地区机插稻田病虫草害发生规律变化的主要原因,并据此提出了相应的综合控制策略和措施。     

Soil and weed management for enhancing arbuscular mycorrhiza colonization of wheat

Tillage and weed control are critical components of cropping systems that need to be combined such that crops benefit from reduced competition. However, weeds may also contribute to the biological diversity within the agro‐environment. This greenhouse study investigated whether common weeds of arable cropping systems were suitable host plants for arbuscular mycorrhizal fungi (AMF), allowing the development of extraradical mycelium (ERM) that can contribute to the early colonization of a following wheat crop, especially in the absence of soil disturbance. Weeds were allowed to grow for up to 2 months before being controlled by soil disturbance or herbicide application (glyphosate or paraquat). Pregerminated wheat seeds were then planted. Chemical control of the weeds prior to sowing enhanced the early arbuscular mycorrhiza (AM) colonization rate of wheat roots, whereas mechanical disturbance was less acceptable as a method of weed control for rapid AM colonization. The type of herbicide (contact or systemic) had no impact on colonization of the wheat crop. Enhanced AM colonization promoted early P acquisition and growth of the crop. Appropriate management of weeds emerging between two consecutive cropping seasons coupled with no‐till soil management could ensure a quick and efficient AM colonization of the following wheat plants.     

Soil steaming to reduce intrarow weed seedling emergence

Steaming the soil prior to crop establishment can be a very effective method of preventing weed seedling emergence on raised beds of vegetable crops. However, current mobile steaming technology for outdoor vegetables is characterized by an extremely high energy consumption and a low work rate. This has led to the concept of band-steaming, where only a limited soil volume is steamed corresponding to the intrarow area of a row-grown vegetable crop. Weeds growing in the intrarow area are difficult to remove by traditional non-chemical means, usually involving substantial input of manual labour in organic cropping. This paper presents the initial results from laboratory studies with steaming a limited soil volume simulating a band. The investigations describe the relationship between maximum soil temperature achieved from soil steaming for different periods and effects seen on subsequent weed seedling emergence. The relationships obtained were generally sigmoid and could appropriately be described by a common dose–response function. Seedling emergence from natural weed species was reduced by 90% when the maximum soil temperature reached 61°C, and a further 10°C rise in temperature gave 99% reduction. Added and non-imbibed seeds of Lolium perenne and Brassica napus generally required higher temperatures to achieve the same control level as the natural weeds in the soil samples.     

Factors affecting the efficacy of acrolein in irrigation channels in southern Argentina

Growth of the submerged weed Potamogeton pectinatus L. is a major problem in the irrigation channels located in the Lower Valley of the Colorado River (39°10′–39°55′S; 62°05′–63°55′W) in Argentina. Previous studies indicate that weed control with acrolein is effective in reducing submerged plant biomass. In this study, we evaluated the influence of some variables affecting acrolein and its dissipation in water. Three main parameters, acrolein dosage, the height of the plants and the velocity of water contributed to 80% of the reduction of the submerged weed biomass. Water flow and concentration of the chemical explained 68% of the factors influencing the dissipation of the herbicide. Water velocity, electrical conductivity, pH and the duration of application have a secondary effect in the dissipation process. The constant rate of dissipation (K) was 0.235 L h⁻¹ (SD ±0.125), implying that the chemical will disappear from the system in <24 h. As a practical guideline for the control of mature, dense stands of P. pectinatus within the irrigation system under study, the following conditions are advisable: flow volumes of 500 L s⁻¹ or higher, water velocity of 0.42 m s⁻¹ or more and c. 6.5 mg L⁻¹ concentration of acrolein for at least a 11-h period.     

PRA方法在农田生态系统杂草综合评价中的应用

采用参与性农村评估 (PRA)方法并结合植物区系分析方法 ,对江苏省中、北部地区农业生态系统中杂草进行调查和评价。结果显示 :这种方法可在短时间内对该地区农田生态系统中杂草种类和危害程度等资料进行收集和整理。通过与现有的其他研究资料进行分析比较 ,该方法对资料的综合评价结果与其他研究结果基本一致 ,表明该方法能客观地反映当地农田生态系统的杂草状况     

Trail corridors as habitat and conduits for movement of plant species in Rocky Mountain National Park,Colorado, USA

Ground-layer vegetation was sampled along selected trail corridors to determine whether corridors provide habitat for certain species and act as conduits for species movement. Patterns of plant species composition were analyzed in relation to distance from trail edge, level of trail use, and distance from trailheads, junctions, and campgrounds. Species composition was significantly affected by distance from trail edge and level of trail use, as species were favored or inhibited by the corridor, depending upon their growth habits. Species composition was also affected by distance from trailheads. These findings, along with the presence of exotic species, indicate that trail corridors in Rocky Mountain National Park function as habitat and conduits for movement of plant species.     

Competition between Canada Thistle [Cirsium arvense (L.) Scop.] and Faba Bean (Vicia faba L.)

This study was conducted to investigate whether density, above-ground biomass and nitrogen (N) concentration of Cirsium arvense (L.) Scop. cause serious reductions in faba bean ( Vicia faba L.) yield. A 2-year field experiment (1991–93) with four Cirsium densities (0, 4, 16, 64 plants m^–2) was carried out. Statistical analysis showed a significant effect of Cirsium density on faba bean yield. Multiple regression analysis showed that the main factors causing faba bean yield losses were the density and above-ground biomass of Cirsium . The results of this study demonstrate that Cirsium competition reduces faba bean yield. The mean faba bean yield losses over the 2 years were 10, 12 and 8% for above-ground biomass, seed and stem, respectively, for a Cirsium density of 16 plants m^–2.     

谷子新品系抗除草剂试验

通过对抗除草剂阿特拉津谷子新品系DSB98-625SR喷施不同剂量的除草剂试验，结果表明各处理与对照比较具有一定的增产作用；而以2.25kg/hm^2除草效果与产量为最佳。目前我们巳进行杂交育种，预期选育出较为理想的抗除草剂阿特拉津的谷子新品系应用于生产。     

Predictive models of weed population dynamics

Many of the challenges faced by weed ecologists can be met only by the capability to predict the responses of weed populations to changes in their environment or management. In spite of this, a review of papers published in Weed Research suggests that weed ecologists are remarkably reluctant to produce detailed, quantitative predictions. This may result from uncertainty in the accuracy of predictions and indeed, a variety of reasons have been put forward to suggest that the potential utility of weed models may be limited in this regard. In this study, we review the applications to which weed models have been put. Focusing on predictive population modelling, we highlight several limitations that can lead to failures of this approach and we discuss the likely prospects for weed population modelling. We make three points regarding the future of weed modelling. First, owing to prohibitive data requirements, the development of highly mechanistic models that attempt to make detailed predictions of weed population numbers is unlikely to be very successful. Second, data collection for developing weed models needs to be rethought. Weed models are most commonly compromised by a lack of spatial and temporal replication, preventing modellers from measuring parameter variability and error effectively and limiting assessments of model uncertainty. Finally, the utility of models needs to be better appreciated; models are key tools in making long range predictions of how management will affect weed populations, but, we estimate, they are used in only a small fraction of studies. Without the further development of models for weed population dynamics, our ability to predict long-term dynamics will be restricted.