陕西市售液态牛奶中黄曲霉毒素M1污染水平分析及风险评估

【目的】全面评价陕西液态牛奶中黄曲霉毒素M_1(aflatoxin M_1,AFM_1)污染状况及其产生的健康风险。【方法】于2018年上半年在陕西全省范围内城市、县城及乡镇采集液态奶样本111份进行检测,结合中国居民营养与健康状况监测数据库中液态奶消费数据,对不同人群通过液态奶对AFM_1的摄入水平进行分析。采用联合国粮农组织/世界卫生组织食品添加剂联合专家委员会(JECFA)确立的AFM_1暴露引发肝癌风险公式和安全限值两种方法,分析描述相关健康风险。【结果】111份液态奶样本中95份检出AFM_1,但均未超过国家限量标准,平均含量为23.95 ng/kg。不同性别年龄组中,一般人群对AFM_1的平均摄入量为0.004～0.082 ng/(kg·d),肝癌风险为0.010～0.225例/(亿人·年),消费人群对AFM_1平均摄入量为0.041～0.272 ng/(kg·d),肝癌风险为0.113～0.745例/(亿人·年)。【结论】陕西液态牛奶中AFM_1污染引发的健康风险总体较低,但需对部分低年龄段(2～11岁)液态奶消费人群AFM_1膳食暴露引发的健康风险予以关注。     

沙漠蝗生物学特性及防治技术研究进展

历史记载中,沙漠蝗Schistocerca gregaria(Forsk.,1775)主要在北非发生,对当地农作物构成严重威胁。大规模发生时,可向西亚等地继续扩散为害。2020年初沙漠蝗在巴基斯坦、印度大量发生,肆虐为害,对粮食安全和生态安全构成了严重威胁。因其具有迁飞性,周边多个国家面临重大入侵风险。因本次沙漠蝗发生规模与破坏程度堪比1985年非洲蝗灾,2020年2月11日,联合国粮农组织(FAO)向全球发布预警:"高度戒备正在肆虐的蝗灾,防止被入侵国家出现粮食危机"。本文介绍了沙漠蝗分类地位、形态学特征,概述了沙漠蝗生物学特性、监测预警与防治技术研究进展,为科学防控沙漠蝗提供理论支撑。     

农村污水治理PPP项目风险因素分析--基于ISM-MICMAC模型

当前我国在探索将PPP模式应用于农村污水治理领域时面临诸多挑战,准确识别与分析项目风险因素具有实际意义。基于全寿命周期视角,采用文献研究与德尔菲法识别出农村污水治理PPP项目面临的21个风险因素,运用解释结构模型(ISM)与交叉影响矩阵相乘法(MICMAC)构建了风险因素的六级层次结构模型并分类,以揭示了风险因素间的内在联系,并提出政策建议。研究表明,项目缔约与运营阶段是关键阶段,合作单位选择是最根本的风险因素。此研究可为我国农村污水治理PPP项目风险分担与控制研究提供新思路,同时为政府部门提供投资决策与风险管理的依据。     

崇明岛草鱼池塘沉积物中多环芳烃的分布状况及生态风险

为探究崇明岛池塘养殖持久性污染状况，采用气相色谱-质谱联用法对崇明岛不同区域草鱼池塘沉积物中16种优先控制多环芳烃(PAHs)的含量及分布情况进行了研究，同时运用主成分分析法、特征比值法和质量标准法等对草鱼池塘中PAHs的来源及生态风险进行了分析。结果显示，崇明岛草鱼池塘养殖沉积物中的PAHs总含量为未检出(ND)~1 654.09 μg/kg，平均含量为95.13 μg/kg，其中4~5环PAHs对总浓度的贡献率最高；崇明岛不同区域草鱼池塘沉积物中的PAHs含量差异较大，表现为岛中部池塘含量低，沿岛四周池塘含量较高，尤其是岛西部沿岸区池塘含量最高且种类多；分析发现，崇明岛草鱼养殖池塘中的PAHs主要来源于岛内生物燃烧和石油燃烧，总体处于中等偏下污染水平，生态风险较低，但在西北部池塘存在潜在生态风险，应予以重视。     

我国草地贪夜蛾应急化学防控风险评估及对策

草地贪夜蛾Spodoptera frugiperda (J.E.Smith)是世界性重大农业迁飞害虫, 在我国已呈严重暴发态势, 对我国玉米等农作物生产安全构成严重威胁?农药防治是草地贪夜蛾应急防控中最有效的手段之一, 但是不合理的使用农药会对环境安全和施药人员带来潜在的风险?本文结合我国田间化学农药防治草地贪夜蛾的实践和效果, 评估了8种田间常用防治药剂的环境风险及其对施药人员的健康风险?推荐甲氨基阿维菌素苯甲酸盐?乙基多杀菌素?氯虫苯甲酰胺?虱螨脲作为草地贪夜蛾应急防控的首推农药, 甘蓝夜蛾核型多角体病毒作为首推生物药剂, 高效氯氟氰菊酯和乙酰甲胺磷须谨慎使用?本研究从农药应用风险角度提出了具体的草地贪夜蛾合理用药建议, 以期为草地贪夜蛾的有效安全防控提供科学依据?     

Elasmobranch fisheries in the Arabian Seas Region: Characteristics,trade and management

The Arabian Seas Region plays an important role in the global landings and trade of sharks and rays. The United Arab Emirates (UAE) and Yemen, two countries with stark socio‐economic differences, serve as major regional trade hubs for shark and ray products and four countries (Oman, Pakistan, UAE and Yemen) supply nearly 11% of dried fin exports to Hong Kong. Yet, little information is available on the characteristics of this trade and the fisheries contributing to it. Here, we review the fisheries characteristics, trade, utilization and distribution chain of sharks and rays in 15 countries of the Arabian Seas Region based on published and grey literature, landing surveys, field observations and interviews with fishermen and traders. Although regional shark fisheries remain mostly artisanal, reported shark and ray landings represent 28% of the regional total fish production, reaching 56,074 mt in 2012 (7.3% of total world catches), with Iran, Oman, Pakistan and Yemen ranking as the primary catchers. Utilization and distribution patterns are complex, vary between landing sites and countries, and remain unmonitored. Based on widespread over‐exploitation of most teleost fisheries, current exploitation levels for most sharks and rays are potentially unsustainable. The situation is exacerbated by limited research and political will to support policy development, the incomplete nature of fisheries data, as well as insufficient regulations and enforcement. A better understanding of shark and ray fisheries will be key for regulating trade, promoting conservation and developing management initiatives to secure food security, livelihoods and biodiversity conservation in the region.     

丁硫克百威在豇豆不同时期施用的降解代谢研究

为明确丁硫克百威在豇豆播种期、苗期、结荚期使用后的降解代谢,以及可能产生的膳食风险,分别以其在蔬菜上登记的最低剂量、最高剂量、最高剂量的1.5倍3种剂量施药,进行田间模拟残留试验。将采集的成熟豇豆通过乙腈提取、C18分散净化,经超高效液相色谱串联质谱方法检测,测定豇豆中丁硫克百威及其代谢物——克百威和3-羟基克百威的残留量。结果表明,丁硫克百威、克百威和3-羟基克百威在豇豆中的定量限均为0.01 mg·kg^-1,在0.01~1 mg·kg^-1的添加水平下,丁硫克百威、克百威和3-羟基克百威的平均回收率为72%~105%,相对标准偏差为1.4%~20.1%。丁硫克百威使用后的超标风险主要源于其代谢物——克百威和3-羟基克百威。播种期施药后的豇豆样品均无丁硫克百威及其代谢物检出;苗期以最高剂量的1.5倍施药后,第10天的样品中克百威(含3-羟基克百威)的残留值超出中国国家标准中规定的最大允许残留限量(MRL);结荚期2次或3次施药后7 d内克百威(含3-羟基克百威)的残留值超出MRL。结荚期施药时,丁硫克百威在2次施药和3次施药后的慢性膳食摄入风险和急性膳食摄入风险均较低,小于100%;但克百威(含3-羟基克百威)的急性膳食摄入风险较高,以最高剂量的1.5倍2次施药或3次施药后,克百威(含3-羟基克百威)的急性膳食摄入风险于药后7 d才降至100%以下。综上,播种期使用丁硫克百威不会导致豇豆中残留超标,可以安全使用;但苗期和结荚期使用丁硫克百威存在极高的风险,应禁止其在播种期以外的使用。     

柑橘轮斑病的适生区预测及风险分析

【目的】 柑橘轮斑病（citrus target spot）作为一种新发柑橘病害,造成发病果园严重的经济损失。本研究针对该病害进行适生区预测及风险分析,以便对该病采取及时、有效的管控措施,最终达到降低其流行风险等级,防止病害传播扩展的目的。【方法】 基于环境变量数据和柑橘轮斑病发生分布数据,运用MaxEnt生态位模型模拟预测柑橘轮斑病菌（Pseudofabraea citricarpa）在中国的潜在适生区分布。并通过ROC（receiver operating characteristic）曲线下面积（area under the curve,AUC）评估预测模型的精度,运用正规化训练增益刀切法（regularized training gain）获取气候因子与分布概率间的关系。同时采用有害生物风险分析理论,以有害生物风险分析的规定程序为依据探索柑橘轮斑病病害的风险分析体系和评价值的计算方法,对评价指标进行定性分析,进而量化评价值。在建立综合评价模型的基础上,计算柑橘轮斑病风险性危害值,最后对病害的风险性危害值进行评价。【结果】 柑橘轮斑病菌MaxEnt模型预测结果的平均AUC值为0.998,表明预测结果精度高。柑橘轮斑病菌的潜在适生区面积约占全国面积12.19%,高适生区、中适生区、低适生区各占全国面积约2.85%、3.99%、5.35%。高、中适生区主要集中于长江中上游柑橘优势区及其周边。其中,高适生区主要集中在四川、重庆、陕西南部,以及贵州、湖北等少量地区。中、低适生区是高适生区的外围扩展。通过MaxEnt模型正规化训练增益刀切法获取的环境变量重要性分析结果表明,最冷季度平均温度（Bio11）、最干季度平均温度（Bio9）、最冷月最低温（Bio6）是影响柑橘轮斑病菌分布的3个关键环境因子,这意味着低温、干冷季节柑橘轮斑病发生可能性大。风险分析最终创建出5个准则层、13个指标层的多指标综合评价体系,并对各指标层定量与定性分析,柑橘轮斑病在我国的风险性危害值（R值）为2.08,处于高度风险等级,对长江中上游及湖北西部-湖南西部两大柑橘产区的潜在危害最大。【结论】 柑橘轮斑病风险性较高,需要尽快建立监测体系,针对病害采取有效控制措施,阻止病害在长江中上游柑橘优势区及相邻柑橘产区传播。     

Estimating the level of disease risk and biosecurity on commercial poultry farms in New Zealand

ABSTRACT

Aims: To collect baseline data on the contact risk pathways and biosecurity practices of commercial poultry farms in New Zealand, investigate the relationship between the farm-level disease contact risks and biosecurity practices, and identify important poultry health concerns of producers.

Methods: A cross-sectional survey of all registered New Zealand commercial poultry operations was conducted in 2016 collecting information on farm demographics, biosecurity practices, and contact risk pathways. Survey responses were used to generate an unweighted subjective disease risk score based on eight risk criteria and a subjective biosecurity score based on the frequency with which producers reported implementing seven biosecurity measures. Producer opinions towards poultry health issues were also determined.

Results: Responses to the survey response were obtained from 120/414 (29.0%) producers, including 57/157 (36.3%) broiler, 33/169 (19.5%) layer, 24/55 (44%) breeder, and 6/32 (19%) other poultry production types. Median disease risk scores differed between production types (p?<?0.001) and were lowest for breeder enterprises. The greatest risk for layer and broiler enterprises was from the potential movement of employees between sheds, and for breeder enterprises was the on- and off-farm movement of goods and services. Median biosecurity scores also differed between production types (p?<?0.001), and were highest for breeder and broiler enterprises. Across all sectors there was no statistical correlation between biosecurity scores and disease risk scores. Producers showed a high level of concern over effectively managing biosecurity measures.

Conclusions: The uptake of biosecurity measures in the commercial poultry farms surveyed was highly variable, with some having very low scores despite significant potential disease contact risks. This may be related to the low prevalence or absence of many important infectious poultry diseases in New Zealand leading farmers to believe there is a limited need to maintain good biosecurity as well as farmer uncertainty around the efficacy of different biosecurity measures. Further research is needed to understand barriers towards biosecurity adoption including evaluating the cost-effectiveness of biosecurity interventions.