不同粘度矿物油助剂对除草剂活性的影响

室内及温室内测定了10种不同粘度矿物油助剂对除草剂防除苘麻和稗草药效的影响及对玉米苗期的安全性。结果表明,10种矿物油助剂均不同程度地增加了氰草津和烟嘧磺隆防除两种杂草的活性。其中粘度为46 mm2/s (40℃)的矿物油乳剂(MOC46)对供试除草剂药效的增强作用最为明显,其次为粘度32 mm2/s (40℃)的矿物油乳剂。10种助剂对氰草津药效的增强作用大于对烟嘧磺隆。MOC46对除草剂活性的增加由高到低依次为:莠去津、氰草津＞莠去津+氰草津、莠去津+烟嘧磺隆、氰草津+烟嘧磺隆＞烟嘧磺隆;对玉米苗期安全性依次为:莠去津、烟嘧磺隆、莠去津+烟嘧磺隆＞莠去津+氰草津、氰草津+烟嘧磺隆＞氰草津。氰草津与MOC46混用对玉米苗期药害较重。     

酿造用高粱土壤处理除草剂筛选

酿造用高粱田土壤处理除草剂种类较少,常用的除草剂配方中多数含有莠去津,筛选不含莠去津且药效较好的除草剂配方,具有较好的实践意义和现实意义。本文选取72%异丙甲草胺乳油、38%莠去津悬浮剂、25%二氯喹啉酸悬浮剂、33%二甲戊灵乳油、48%麦草畏水剂、75%噻吩磺隆水分散颗粒剂、15%硝磺草酮悬浮剂6种除草剂进行混配。通过田间试验进行安全性、除草效果及对高粱产量影响的研究。结果表明,38%莠去津悬浮剂+72%异丙甲草胺乳油、72%异丙甲草胺乳油+48%麦草畏水剂、38%莠去津悬浮剂+48%麦草畏水剂对高粱具有安全性高、除草效果好、提高产量的特点,30 d除草株总防效分别为96.5%、97.4%、93.4%,增产23.9%、23.6%和22.2%。在效益方面,莠去津+异丙甲草胺略高于异丙甲草胺+麦草畏。考虑到莠去津的长残留性及对生态的影响,建议使用72%异丙甲草胺乳油+48%麦草畏水剂。     

40%氰草津·乙草胺·莠去津悬浮剂的气相色谱分析方法

本文采用气相色谱法,以癸二酸二正丁酯为本方法的内标,使用5%SE—30填充柱和FID检测器,对混剂中的氰草津、乙草胺、莠去津进行分离与定量。分析结果表明,氰草津、乙草胺、莠去津线性相关系数分别为0.9995、0.9990、0.9986;标准偏差分别为0.030、0.022、0.067;变异系数分别为0.245%、0.273%、0.333%;平均回收率分别为99.8%、99.5%、99.3%。     

生姜中8种酰胺类除草剂残留的分析方法

建立了同时测定生姜中8种酰胺类除草剂(炔苯酰草胺、敌稗、乙草胺、异丙甲草胺、甲草胺、丁草胺、丙草胺、苯噻草胺)残留的气相色谱(GC-ECD)分析方法。样品经乙酸乙酯超声提取(加入少量氢氧化钠溶液调节pH值至7),乙二胺-N-丙基硅烷(PSA)净化,气相色谱检测。结果表明:在0.01~1 mg/L范围内,8种除草剂的线性相关系数均大于0.995,检出限(LOD)为4~10 μg/kg,定量限(LOQ)为0.05 mg/kg;在0.05、0.1和1 mg/kg 3个添加水平下的平均回收率在79.0%~111.2%之间,相对标准偏差(RSD)为0.9%~11.5%。     

气相色谱-电子捕获检测器同时测定瓜果类蔬菜中15种除草剂残留

采用气相色谱-电子捕获检测器（GC-ECD）法建立了同时测定瓜果类蔬菜中15种除草剂（氟嘧磺隆、草毒死、敌草隆、氯草定、氟乐灵、炔苯酰草胺、乙草胺、甲草胺、异丙甲草胺、吡唑草胺、硝草胺、丁草胺、丙草胺、齅草酮、吡氟酰草胺）残留量的方法。供试番茄、黄瓜、青椒、茄子、西葫芦、马铃薯、芸豆及萝卜8种样品经乙酸乙酯与二氯甲烷混合溶剂提取,Florisil PR固相萃取柱净化,DM-1毛细管气相色谱柱（30 m×0.32 mm,0.25 μm）分离,GC-ECD测定,外标法定量。结果表明:在0.002~0.5 mg/kg的3个添加水平下,15种除草剂在8种蔬菜中的平均添加回收率为77%~113%,相对标准偏差（RSD）为3.5%~10.8%,定量限为0.001~0.1 mg/kg。采用所建立的方法对市售蔬菜样品进行测定,结果表明,15种除草剂的残留量均小于最大允许残留限量。该方法简单、快速,灵敏度高,适用于同时测定瓜果类蔬菜样品中15种除草剂的残留量。     

42%甲草·异丙草·莠悬乳剂的气相色谱分析

本文介绍了在HP-5毛细管柱上以邻苯二甲酸二乙酯做内标,用FID检测器对42%甲草·异丙草·莠悬乳剂进行气相色谱定量分析的方法。3种有效成分甲草胺、异丙草胺、莠去津在同一条件下测定,方法简便,方法的精密度和准确度良好。     

40%异丙草胺·莠去津悬乳剂的气相色谱分析

应用气相色谱测定异丙草胺·莠去津悬乳剂的有效成分,使用5％SE-30填充柱和氢焰离子化检测器。用二甲基甲酰胺溶解,以邻苯二甲酸二正戊酯为内标物,对异丙草胺和莠去津进行气相色谱分离和测定的定量分析方法。结果表明:此分析方法异丙草胺和莠去津的标准偏差分别为0．33、0．32;变异系数分别为1．4％、2．0％;平均回收率分别为 99．98％、100．08％;线性相关系数分别为0．999 0、0．999 1。     

氰津·莠30%悬浮剂的气相色谱分析

本文采用气相色谱法，使用CP7906X；英毛细管柱和FID检测器，对混剂中的氰草津和莠去津进行分离与定量。邻苯二甲酸二正丁酯为内标物。分析结果表明氰草津和莠去津的线性相关系数分别为0．99995、0．99999；标准偏差分别为0．23、0．16：变异系数分别为1．49％、1．06％；回收率分别在98．94～100．11％和98．38～101．51％之间。     

4种酰胺类除草剂对玉米的安全性及药效

室内外测定了4种酰胺类除草剂对玉米安全性及药效。结果表明 :异丙甲草胺与异丙草胺对玉米安全性最高 ,甲草胺次之 ,乙草胺对玉米苗期有药害。田间测产证明异丙甲草胺与异丙草胺对玉米增产明显 ,而乙草胺同人工除草对比略有减产。田间药效表明乙草胺对杂草防除效果最高     

油酸甲酯助剂对除草剂增效作用及其对玉米苗期安全性测定

采用温室盆栽法测定了自制油酸甲酯助剂对3种玉米田常用除草剂磺草酮、莠去津和烟嘧磺隆药效的增强作用,并测定了该助剂分别与3种除草剂混用后对玉米苗期生长的影响。结果表明:油酸甲酯助剂对供试3种除草剂的药效均有显著增强作用,其中对磺草酮和莠去津药效的增强作用大于对烟嘧磺隆药效的增强作用,且除草剂低剂量使用时油酸甲酯助剂对其药效的增强作用比高剂量使用时更明显;油酸甲酯助剂分别与供试3种除草剂混用对玉米苗期生长有一定影响,以烟嘧磺隆抑制作用较强,莠去津次之。     

Evaluation of herbicides for maize production in three ecological zones of Nigeria

Abstract

Maize cultivation in Nigeria has increased rapidly in the last few years as fertilizers have become more readily available to farmers. Without the use of herbicides however, the area of land that can be brought under maize production will be limited. The following herbicides were evaluated in three ecological zones of Nigeria: atrazine and mixtures of atrazine and simazine, atrazine and metolachlor and atrazine and cyanazine. All herbicide treatments were applied at the rate of either 1.0 or 2.0 kg a.i./ha. The plots that received 1.0 kg a.i./ha also received one supplementary hand weeding. All treatments gave yields comparable to the weed free control, with the exception of the unweeded higher rate of the atrazine and cyanazine treatment which gave the lowest grain yield as a result of poor weed control.     

14种除草剂对野稷的活性测定及田间防效

参照除草剂室内生物测定和田间药效防治试验准则,在温室中测定了14种除草剂对野稷的生物活性,并进行了田间小区药效评价。生测结果表明,土壤处理药剂中,异噁唑草酮、氟噻草胺、乙草胺、精异丙甲草胺、异噁草松对野稷的活性较高,其ED₉₀分别为43.08、47.14、137.09、209.93、583.74 g/hm²(有效成分用量);茎叶处理药剂中,苯唑草酮、高效氟吡甲禾灵、烟嘧磺隆和苯唑氟草酮对野稷的活性较高,其ED₉₀分别为22.21、35.95、95.64、111.43 g/hm²。田间药效试验结果表明,野稷出苗前,土壤喷雾40%氟噻草胺SC (810 g/hm²)、900 g/L乙草胺EC (1 620 g/hm²)和960 g/L精异丙甲草胺EC (2 160 g/hm²)对野稷防效较高,药后40 d对野稷的株防效均在86.0%以上,鲜重防效在88.4%以上,其次是75%异噁唑草酮WG (90 g/hm²),防效...     

The effect of atrazine,cyanazine and cyprazine on photosynthesis and growth of nine grasses*

A semi-open circuit system for measuring changes in net CO₂ exchange (NCE) in single leaves of intact grasses following herbicide treatment is described and evaluated. There were significant differences in levels of inhibition and subsequent recovery of NCE in maize and eight weedy panicoid grasses following limited root uptake of atrazine (2-chloro-4-ethyl-amino-6-isopropylamino-1,3,5-triazine). cyanazine [2-chloro-4-(1-cyano-1-methylethylamino)-6-ethylamino-1,3,5-triazine] and cyprazine (2-chloro-4-cyclopropylamino-6-isopropyl-amino-1,3.5-triazine). Rate of NCE recovery was positively correlated (P = 0.05) with growth of seedlings in nutrient solution containing the herbicides. Rates of NCE recovery >0.9 mg CO2 per dm2 per h/h reflected rapid rates of herbicide detoxification in the leaves and a significant tolerance to preplant incorporated and postemergence applications of atra-zine, cyanazine and cyprazine. In contrast, some species, e.g. large crabgrass [Digitaria sanguinalis (L.) Scop.] and proso millet (Panicum miliaceum L.) treated with cyanazine demonstrated considerable tolerance to these treatments in spite of low NCE recovery rates indicating that factors other than foliar detoxification may play an important role in the tolerance of some grasses to 2-chloro- 1,3,5-triazine herbicides.     

Transport to ground‐water of six commonly used herbicides: a prediction for two Italian scenarios

In Italy suitable standard scenarios for pesticide risk assessment based on computer models are lacking. In this paper we examine the use of the VARLEACH model to assess the potential danger of ground‐water pollution by six herbicides (alachlor, atrazine, cyanazine, linuron, simazine and terbuthylazine) which are used to protect irrigated (maize) and non‐irrigated (sorghum) crops in the Po Plain, one of the most important agricultural lands in Italy. Two extreme scenarios are taken: real worst case (sandy soil) and real best case (clay loam soil). The simulation suggests that cyanazine, linuron and terbuthylazine can be safely used in clay loam soil in both non‐irrigated and irrigated crops, while alachlor, atrazine and simazine can be safely used only in non‐irrigated crops. On the other hand, the application of all the herbicides tested should be avoided in sandy soil, with the exception of linuron in non‐irrigated crops. © 2000 Society of Chemical Industry     

Response of an acetolactate synthase (ALS)-resistant biotype of Amaranthus rudis to selected ALS-inhibiting and alternative herbicides

An Amaranthus rudis Saner (common water-hemp) biotype from a field treated for two consecutive years with a mixture of chlorimuron and metribuzin was tested in greenhouse and laboratory studies to assess resistance and cross-resistance to four acetolactale synthase (ALS)-inhibiting herbicides. The biotype demonstrated >1920-fold resistance at the whole plant level, and >850-fold resistance at the ALS enzyme to chlorimuron, compared with a susceptible biotype. This chlorimuron-resistant biotype was also cross-resistant to primisuifu-ron, haiosulfuron and imazethapyr. In greenhouse studies, atrazine alone or in combination with ALS-inhibiting herbicides provided excellent control of the resistant biotype of A. rudis . Combinations of dicamba and ALS-inhibitors also provided adequate control. Additionally, premixtures of flumetsulam and metolachlor and of dicamba and atrazine furnished excellent control of this chlorimuron-resistant A. rudis biotype.     

Simulation of the persistence of atrazine, linuron and metolachlor in soil at different sites in the USA

The effects of soil temperature and soil moisture content on the rates of degradation of atrazine, linuron and metolachlor were measured in the laboratory in soil from different sites in the USA. Persistence of the herbicides was measured in the same soils in the field during the summers of 1978 and 1979. Weather records from the different sites for the periods of the field experiments were used in conjunction with appropriate constants derived from the laboratory data in a computer program to simulate persistence in the field. There was a general tendency for the model to overestimate the observed soil residues. For example, with atrazine, 40 of the 48 measured residues were lower than those predicted by the model; seven were more than 30% below and two were more than 50% below. With metolachlor, 16 of the 48 measured residues were more than 30% below those predicted and six were more than 50% below; almost identical results were obtained with linuron. When the model overestimated late-season residues by a large amount, the discrepancies between predicted and observed data were usually apparent from early in the experiment. Possible reasons for the discrepancies are discussed.