Factors affecting seed germination and emergence of Gomphrena perennis

Controlled growth chamber experiments were conducted to determine factors affecting seed germination and emergence of the troublesome weed Gomphrena perennis. The objective of this research was to examine the effects of temperature, light, moist chilling, osmotic potential, dry storage and depth of seed burial on G. perennis germination and emergence. The optimum temperature for germination was around 15–20°C. Seeds showed germination rates above 90% under 20/10 and 25/15°C temperature regimes. The minimum exposure to light needed to stimulate germination was 1 min. However, the light requirement was reduced after a long storage period. Furthermore, germination was high (>90%) in all moist‐chilling treatments tested. Germination was highly sensitive to increasing osmotic stress. The highest germination percentage (94%) was achieved at 0 MPa, and decreasing osmotic potential from 0 to ?0.3 MPa reduced germination to 11%. The highest seedling emergence occurred for seeds placed from 0 to 1 cm deep, and no seedlings emerged from a 5‐cm burial depth. Gomphrena perennis has a suitable environment in a no‐till soybean field, where seeds remaining on the surface have the required temperature, light and depth needed for germination.     

The role of models for multicriteria evaluation and multiobjective design of cropping systems for managing weeds

Weeds are both harmful for crop production and important for biodiversity, while herbicides can pollute the environment. We thus need new cropping systems optimising all cultural techniques, reconciling agricultural production, herbicide reduction and biodiversity conservation. Here, we show how to (i) develop models quantifying the effects of cropping systems on weed dynamics, (ii) integrate interactions between weeds and other organisms, (iii) predict the impact on production and biodiversity and (iv) use the model for multicriteria evaluation and multiobjective design of cropping systems. Among the existing weed dynamics models, we chose the one closest to our requirements to illustrate these different steps, that is, FlorSys which predicts multispecific weed dynamics as a function of cultural techniques and pedoclimate. We have illustrated the development of interaction submodels with the example of a crop pathogen whose propagation is increased when infecting grass weeds. To evaluate the weed flora impact, predicted weed densities were translated into indicators of harmfulness (crop yield loss, technical harvest problems, harvest pollution, field infestation, crop disease increase) and biodiversity (weed species richness and equitability, trophic resources for birds, insects and pollinators). Simulations were run over several years and with different weather scenarios (i) to optimise cultural techniques to control harmful weeds, (ii) to analyse the impact of changing agricultural practices (e.g. simplified tillage and rotations, no‐till, temporary crops) on weed density, species and trait composition and (iii) to evaluate cropping systems for their ability to reconcile agricultural production and biodiversity, thus identifying levers for designing sustainable cropping systems.     

4种助剂对异丙隆防除菵草的增效作用

为了比较4种助剂Silwet 806、红太阳A8、激健、安融乐对异丙隆防除菵草Beckmannia syzigachne的增效作用及机制,采用整株生物测定法测定4种助剂与异丙隆混用后对菵草的生物活性及对小麦的安全性;采用仪器分析法测定4种助剂对异丙隆药液的表面张力、叶面接触角、干燥时间和在叶面上的沉积量的影响.结果 表...     

河北省冬小麦田杂草群落特征

为了明确河北省冬小麦田杂草的群落组成和结构,采用倒置"W"取样法对河北省7个地区146块冬小麦田的杂草进行了调查和物种多样性测度。结果显示,河北省冬小麦田有61种杂草,隶属于21科53属,播娘蒿、打碗花、荠菜、麦瓶草和麦家公是河北省冬小麦田的优势杂草。保定地区麦田杂草群落的物种丰富度最大;沧州地区麦田杂草群落的Shannon-Wiener指数和Pielou指数最大;廊坊地区麦田杂草群落的Gleason指数、Shannon-Wiener指数和Pielou指数最小,优势草种比较突出。经聚类分析和主成分分析,河北省冬小麦田杂草群落分为3组:石家庄、保定、邢台和廊坊的麦田杂草群落中耐旱杂草的相对多度较高;沧州和衡水的麦田杂草群落中耐盐杂草的相对多度较高;邯郸的麦田杂草群落中喜湿杂草的相对多度较高。说明土壤的盐度和湿度是影响河北省冬小麦田杂草群落组成的主要生态因子。     

Cropping systems modify soil biota effects on wheat (Triticum aestivum) growth and competitive ability

Plants alter soil biota which subsequently modifies plant growth, plant–plant interactions and plant community dynamics. While much research has been conducted on the magnitude and importance of soil biota effects (SBEs) in natural systems, little is known in agro‐ecosystems. We investigated whether agricultural management systems could affect SBEs impacts on crop growth and crop–weed competition. Utilising soil collected from eight paired farms, we evaluated the extent to which SBEs differed between conventional and organic farming systems. Soils were conditioned by growing two common annual weeds: Amaranthus retroflexus (redroot pigweed) or Avena fatua (wild oat). Soil biota effects were measured in wheat (Triticum aestivum) growth and crop–weed competition, with SBEs calculated as the natural log of plant biomass in pots inoculated with living soil divided by the plant biomass in pots inoculated with sterilised soil. SBEs were generally more positive when soil inoculum was collected from organic farms compared with conventional farms, suggesting that cropping systems modify the relative abundance of mutualistic and pathogenic organisms responsible for the observed SBEs. Also, as feedbacks became more positive, crop–weed competition decreased and facilitation increased. In annual cropping systems, SBEs can alter plant growth and crop–weed competition. By identifying the management practices that promote positive SBEs, producers can minimise the impacts of crop–weed competition and decrease their reliance on off‐farm chemical and mechanical inputs to control weeds, enhancing agroecosystem sustainability.     

Allelopathy in crop/weed interactions--an update

Since varietal differences in allelopathy of crops against weeds were discovered in the 1970s, much research has documented the potential that allelopathic crops offer for integrated weed management with substantially reduced herbicide rates. Research groups worldwide have identified several crop species possessing potent allelopathic interference mediated by root exudation of allelochemicals. Rice, wheat, barley and sorghum have attracted most attention. Past research focused on germplasm screening for elite allelopathic cultivars and the identification of the allelochemicals involved. Based on this, traditional breeding efforts were initiated in rice and wheat to breed agronomically acceptable, weed-suppressive cultivars with improved allelopathic interference. Promising suppressive crosses are under investigation. Molecular approaches have elucidated the genetics of allelopathy by QTL mapping which associated the trait in rice and wheat with several chromosomes and suggested the involvement of several allelochemicals. Potentially important compounds that are constitutively secreted from roots have been identified in all crop species under investigation. Biosynthesis and exudation of these metabolites follow a distinct temporal pattern and can be induced by biotic and abiotic factors. The current state of knowledge suggests that allelopathy involves fluctuating mixtures of allelochemicals and their metabolites as regulated by genotype and developmental stage of the producing plant, environment, cultivation and signalling effects, as well as the chemical or microbial turnover of compounds in the rhizosphere. Functional genomics is being applied to identify genes involved in biosynthesis of several identified allelochemicals, providing the potential to improve allelopathy by molecular breeding. The dynamics of crop allelopathy, inducible processes and plant signalling is gaining growing attention; however, future research should also consider allelochemical release mechanisms, persistence, selectivity and modes of action, as well as consequences of improved crop allelopathy on plant physiology, the environment and management strategies. Creation of weed-suppressive cultivars with improved allelopathic interference is still a challenge, but traditional breeding or biotechnology should pave the way.     

华北大黑鳃金龟成虫周年发生动态及影响因素分析

华北大黑鳃金龟[Holotrichia oblita(Faldermann)]是一种为害多种作物的重要地下害虫,为了解其近年的发生动态以便针对性防治,于2010-2013年对其成虫出土规律进行了周年系统研究,并对其发生期和发生量影响因素进行了初步分析。结果表明,2010-2013年华北大黑鳃金龟的出土盛期仍在5月份,与文献相比总体一致,但出土期略滞后并且时间有所延长;而2013年始发期明显晚于其他年份,对其气象因素分析发现,2013年春季干旱,首次降雨在5月26日,明显晚于其他年份,其始发期也较其他年份偏晚,说明土壤湿度可能影响成虫出土始期。出土盛期成虫出土量与气象因素的灰色关联度分析表明,成虫日出土量与平均相对湿度关联最密切,其次是日均温和降雨量。研究结果为华北大黑鳃金龟的预测预报以及针对性防治提供了基础。     

外来入侵豚草天敌广聚萤叶甲的半人工饲料配方和关键因子的初步筛选

广聚萤叶甲Ophraella communa LeSage是入侵恶性豚草的天敌。参照前人对叶甲类半人工饲料的研究配方,采用19因子混水平正交试验L32(45×216),初步筛选出适合广聚萤叶甲成虫和幼虫的半人工饲料配方,筛选出影响广聚萤叶甲成虫寿命的8种关键成分:麦胚、10%KOH、葡萄糖、尼泊金、豚草叶粉、琼脂、胆固醇、大豆油;影响广聚萤叶甲2龄幼虫发育的8种关键成分是:燕麦片、琼脂、麦胚、葡萄糖、氯化胆碱、10%KOH、蒸馏水、大豆油。研究结果为进一步研制广聚萤叶甲人工饲料提供了基础。     

害草薇甘菊生防因子——安婀珍蝶的自然种群生命表研究

室外设立隔离网笼，在自然气候条件下，饲养、释放薇甘菊重要生防因子——安婀珍蝶，研究了安婀珍蝶野外释放后对广东地区环境的适应能力；利用庞雄飞作用因子组配的生命表方法，组建安婀珍蝶自然种群生命表，量化分析评价各因子对安婀珍蝶的影响。结果表明：释放安婀珍蝶两代的自然种群趋势指数分别为0．0872和0．0939，都非常低，安婀珍蝶野外增殖能力较差。第一代和第二代中“捕食与其他”的控制作用指数分别为190．0191和84．8973，均高于其他因子的控制作用，“捕食与其他”为影响安婀珍蝶生长发育的重要因子。综合上述结果认为，需通过大量饲养人工释放、补充幼虫数量的方法，逐步提高安婀珍蝶在野外建立自然种群的能力。     

几种烟田除草剂对比试验药效评价

为筛选安全高效烟田除草剂,在全国烟草农药药效试验网中的7个点进行除草剂药效评价试验敌草胺50％可湿性粉剂（利尔化学股份有限公司）、精喹·异嗯松29％乳油（山东鸿汇烟草用药有限公司）、50％敌草胺水分散粒剂（江苏快达农化股份有限公司）、二甲戊灵450克／升微囊悬浮剂（巴斯夫公司）对烟田安全,对杂草有较好的防除效果,施药后20d杂草株数、40d杂草株数和鲜重防效,与烟草上推荐使用的敌草胺50％可湿性粉剂（印度联合磷化物有限公司）效果相当。建议推荐使用。