杨庄煤矿区农田塌陷水域多介质OCPs污染特征及生态风险研究

为研究采煤活动影响下农田塌陷水域有机氯农药(OCPs)的污染特征及潜在生态风险,使用GC-MS对淮南潘一矿的杨庄农田塌陷区水体和底泥中的OCPs特征污染物六六六(HCHs)及滴滴涕(DDTs)进行质量浓度测定,利用ArcGIS进行OCPs分布特征及来源研究,并选择共识沉积物质量基准法(CB-SQGs)对潜在生态风险进行分析。结果表明:杨庄沉陷区溶解态ΣOCPs质量浓度范围为72.06～218.89 ng·L~(-1),均值为167.32 ng·L~(-1);悬浮态和沉积态ΣOCPs范围为199.35～405.04 ng·g~(-1)dw和24.34～1 247.32ng·g~(-1)dw,均值为277.07 ng·g~(-1)dw和238.78 ng·g~(-1)dw;悬浮态和沉积态OCPs质量浓度自上游向下游方向随水流呈削减趋势;杨庄塌陷水体中HCHs主要来自于林丹,DDTs主要来自于农业三氯杀螨醇;溶解态OCPs低于国家Ⅲ类水质标准限额,处于低生态风险水平;悬浮态和沉积态OCPs处于中高生态风险水平,其中沉积态OCPs毒性发生率略低于悬浮态OCPs毒性发生率。     

Proportionality principle revisited – relationship between application rates and pesticide residue concentrations in food commodities

BACKGROUND

The proportionality principle has been broadly used for over 10 years in regulatory assessments of pesticide residues. It allows extrapolation of supervised field trial data conducted at lower or higher application rates compared to the use pattern under evaluation by adjustment of measured concentrations, assuming direct proportionality between the rates applied and the resulting residues. This work revisits the principle idea by using supervised residue trials sets conducted under identical conditions but with deviating application rates. Four different statistical methods were used to investigate the relationship between application rates and residue concentrations and to draw conclusions on the statistical significance of the direct proportionality assumed.

RESULTS

Based on over 5000 individual trial results, the assumption of direct proportionality was not confirmed to be statistically significant (P > 0.05) using three models: direct comparison of application rates and residue concentrations ratios and two linear log-log regression models correlating application rate and residue concentration or only residue concentrations per se. In addition, a fourth model analysed deviations between expected concentrations following direct proportional adjustment and measured residue values from corresponding field trials. In 56% of all cases, the deviation was larger than ±25%, which represents the tolerance usually accepted for the selection of supervised field trials in regulatory assessments.

CONCLUSION

Overall, the assumption of direct proportionality between application rates and resulting residue concentrations of pesticides was not statistically significant. Although the proportionality approach is highly pragmatic in regulatory practice, its use should be considered carefully on a case-by-case basis. © 2023 The Authors. Pest Management Science published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.     

国内外荔枝农药残留限量标准对比分析

介绍了我国荔枝农药登记情况,归纳分析了新版GB/T 2763-2021《食品安全国家标准 食品中农药残留最大限量》中涉及荔枝的农药最大残留限量标准,对比分析了国内外荔枝农药残留限量标准制定情况。在此基础上,总结了我国荔枝残留限量标准存在的问题,并提出了建议和措施,旨在为完善我国荔枝质量安全标准体系提供参考。     

无人机施药对棉蚜的防治效果及经济效益分析

为探讨采用无人机防治新疆南部地区棉蚜的可行性并筛选防治效果好的杀虫剂及具有增效作用的杀虫剂助剂，研究了采用大疆MG-1S型无人机喷施不同的杀虫剂+助剂对棉蚜的防治效果，并对无人机飞防的经济效益进行了分析。结果表明:采用MG-1S型无人机喷施22%氟啶虫胺腈悬浮剂(SC) 225 mL/hm2(制剂量，下同)时对棉蚜的防治效果最好，优于喷施70%吡虫啉水分散粒剂(WG) 30 g/hm2和70%啶虫咪WG 60 g/hm2。在添加助剂方面，以分别在70%啶虫脒WG 60g/hm2和70%吡虫啉WG 30g/hm2中添加15 mL/hm2的高工效通用助剂的防治效果最好，其次为聚合物类助剂和飞防增效剂；而在22%氟啶虫胺腈SC(150 mL/hm2)中，以添加150 mL/hm2的飞防增效剂的效果最好，其次为矿物源类、有机硅类和聚合物类助剂。采用无人机施药，在施药后3 d和5 d的防治效果与采用机械+人工拖管施药相比均无显著性差异，但无人机田间作业施药液量减少1/3，工作效率提高3倍，机械作业费减少60元/hm2，可满足现代农业高效、节药和降低成本的需要。     

不同光照条件对脱镁叶绿酸钠光敏抑菌活性的影响

脱镁叶绿酸钠是叶绿素代谢中间产物脱镁叶绿酸a的水溶性钠盐，具有良好的光敏抑菌活性。为探索光照条件对其抑菌活性的影响，采用菌丝生长速率法，研究在不同光照度、光波长及光照时间条件下，脱镁叶绿酸钠对忽视拟盘多毛孢Pestalotiopsis neglecta的抑制作用。结果表明:20 mg/mL的脱镁叶绿酸钠在照度为2 000 lx的白光照射下对菌丝生长的抑制率为83.7%，在黑暗条件下抑制率为77.0%，表明光照对脱镁叶绿酸钠抑菌活性有显著影响 (P < 0.05)；此外，白光的效果好于单色光；光照度及光照时间对抑菌活性也有显著影响，其中当照度为16 000 lx且光照时间为24 h时抑菌作用最强。     

Eco‐efficiency as a strategy for optimizing the sustainability of pest management

Agricultural industrialization and the subsequent reliance on pesticides has resulted in numerous unintended consequences, such as impacts upon the environment and by extension human health. Eco‐efficiency is a strategy for sustainably increasing production, while simultaneously decreasing these externalities on ecological systems. Eco‐efficiency is defined as the ratio of production to environmental impacts. It has been widely adopted to improve chemical production, but we investigate the challenges of applying eco‐efficiency to pesticide use. Eco‐efficiency strategies include technological innovation, investment in research and development, improvement of business processes, and accounting for market forces. These components are often part of integrated pest management (IPM) systems that include alternatives to pesticides, but its implementation is often thwarted by commercial realities and technical challenges. We propose the creation and adoption of an eco‐efficiency index for pesticide use so that the broad benefits of eco‐efficient strategies such as IPM can be more readily quantified. We propose an index based upon the ratio of crop yield to a risk quotient (RQ) calculated from pesticide toxicity. Eco‐efficiency is an operational basis for optimizing pest management for sustainability. It naturally favors adoption of IPM and should be considered by regulators, researchers, and practitioners involved in pest management. © 2019 Society of Chemical Industry