Assessment of short-term mortality of granary weevil,Sitophilus granarius (Coleoptera: Curculionidae) triggered by different microwave irradiation powers

Abstract

The insecticidal efficacy of microwave irradiation against the at 12, 24, 48 and 72?h following exposure to microwave irradiations (100, 300?W) and the progeny production was assessed 45?days later. Linearly increasing irradiation power range (100, 200 and 300?W) was set up for determining mortality tendency. An increase of insect mortality caused by higher irradiation period and times elapsed after treatment has become evident commencing from 12?h after the treatment, which has significantly decreased at later elapsed time after treatment. The irradiation periods inducing the highest mortality at the examined powers were at 10?min and at 100?W power (72?h: 64.93%) and at 4.5?min. and at 300?W power (12?h: 87.01). In addition, a complete suppression of progeny production was achieved by 4.5?min treatment at 300?W power. Lognormal-type mortality process was caused by the linearly increased irradiation range. The properly chosen microwave irradiation can be used for management of Sitophilus granarius larval and adult developmental stages. This treatment could provide an effective and friendly environmental treatment technique in Integrated Pest Management (IPM) program.     

Improving wood volume predictions in dry tropical forest in the semi-arid Brazil

The volumetric variability of dry tropical forests in Brazil and the scarcity of studies on the subject show the need for the development of techniques that make it possible to obtain adequate and accurate wood volume estimates. In this study, we analyzed a database of thinning trees from a forest management plan in the Contendas de Sincorá National Forest, southwestern Bahia State, Brazil. The data set included a total of 300 trees with a trunk diameter ranging from 5 to 52 cm. Adjustments, validation and statistical selection of four volumetric models were performed. Due to the difference in height values for the same diameter and the low correlation between both variables, we do not suggest models which only use the diameter at breast height (DBH) variable as a predictor because they accommodate the largest estimation errors. In comparing the best single entry model (Hohenald-Krenn) with the Spurr model (best fit model), it is noted that the exclusion of height as a predictor causes the values of 136.44 and 0.93 for Akaike information criterion (AIC) and adjusted determination coefficient (R2 adj), which are poorer than the second best model (Schumacher-Hall). Regarding the minimum sample size, errors in estimation (root mean square error (RMSE) and bias) of the best model decrease as the sample size increases, especially when a larger number of trees with DBH≥15.0 cm are randomly sampled. Stratified sampling by diameter class produces smaller volume prediction errors than random sampling, especially when considering all trees. In summary, the Spurr and Schumacher-Hall models perform better. These models suggest that the total variance explained in the estimates is not less than 95%, producing reliable forecasts of the total volume with shell. Our estimates indicate that the bias around the average is not greater than 7%. Our results support the decision to use regression methods to build models and estimate their parameters, seeking stratification strategies in diameter classes for the sample trees. Volume estimates with valid confidence intervals can be obtained using the Spurr model for the studied dry forest. Stratified sampling of the data set for model adjustment and selection is necessary, since we find significant results with mean error square root values and bias of up to 70% of the total database.     

Impact of the COVID-19 pandemic on agricultural exports

The COVID-19 outbreak has shocked the world's economies in the year of 2020. As this pandemic spreads around the globe, many experts feared that the global food supplies might start running short, especially if supply chains were disrupted. COVID-19 also added to the uncertainty of the business operation. Therefore, it is critical to understand how COVID-19 pandemic affected global food supply and market. In this study, we investigate the impact of COVID-19 on agricultural export companies in China using a unique firm-level survey data. We found that although on average agricultural businesses experienced declines in the exports, exports of some agricultural products especially grain and oil held strong and even increased, implying the essential demand for staple food during the pandemic. Not surprisingly, exports of medicinal herb also increased significantly during the pandemic. However, exports of goods such as edible fungus and horticultural products sharply decreased. Our results also showed that in general, impact of COVID-19 on smaller firms was more severe than that on larger firms. The results of this study can provide useful guidance and implications for agricultural businesses and policy makers on their COVID-19 mitigation efforts to navigate this global pandemic.     

陕北黄土区退耕还林(草)地土壤质量特征及其对降水的响应

为了解陕北黄土区退耕还林（草）地土壤质量差异特征及其对降水的响应，该文沿370～470 mm的降水梯度，选取了陕西省吴起县境内的王洼子（370～395 mm）、大吉沟（440～445 mm）和白豹（460～470 mm）3个降水梯度区作为研究区，并结合土壤质量指数法，定量评价降水梯度区广泛栽植的刺槐林（Robinia pseudoacacia）、沙棘林（Hippophae rhamnoides）和草地的土壤物理结构、持水性、盐碱度、碳汇指标以及速效养分指标方面的综合得分，明确植被恢复后土壤质量随降水梯度的变化特征。结果表明：1）降水量、植被类型以及二者的交互作用对土壤指标影响显著（P<0.05）。2）在460～470 mm降水量区，刺槐林（0.829）对土壤质量改良效果最好，其次为沙棘林（0.808），二者土壤质量均达到肥沃水平，且差异不显著，草地（0.679）土壤质量指数最低，土壤为较肥沃水平；在440～445 mm降水量区，沙棘林（0.74）对土壤改良效果最好，其次为刺槐林（0.601），二者均达到较肥沃水平，草地（0.479）土壤质量指数最低为中等水平；在370～395 mm降水量区，3种植被类型土壤质量指数由大到小表现为沙棘林（0.744）>刺槐林（0.387）>草地（0.251），沙棘林土壤质量等级为较肥沃、刺槐林和草地为贫瘠水平。3）在370～470 mm降水梯度内，3种植被类型土壤质量综合指数均随着降水量的减少而降低，其中沙棘林土壤质量指数变异性较低（4.1%），刺槐林（30.1%）和草地（37.2%）土壤质量变异性较高。该研究结果可为陕北黄土区370～470 mm降水梯度下的植被恢复与重建等林业生态工程实施提供数据支撑与理论支持。     

畜禽产品水足迹研究进展

畜禽产品的生产过程需要消耗大量水资源,对畜禽产品进行水足迹评价能够清楚地认识其对水资源的消耗情况。目前,人们对畜禽产品的需求日益增长,水资源消耗也在持续升高,因此研究如何缓解畜禽产品生产带来的水资源压力,已成为人们必须要面对的问题。评价畜禽产品的用水量和对不同生产阶段的用水分析,将有助于生产者和消费者确定用水量最大的过程,并针对性地实施提高用水效率的战略。本文介绍了国内外畜禽产品水足迹研究现状,对比分析了不同畜禽产品水足迹评价方法,展望了畜禽产品水足迹的发展,最终提出以下降低畜禽产品水足迹的主要措施:1)减少饲料生产的水足迹;2)提高饲料转化率;3)水资源管理和提高畜禽动物生产性能;4)改变人们的消费习惯。     

基于体验经济的乡村花卉旅游产品提升策略研究

旅游从诞生之初就具备了体验经济的属性，而创造独特的、难忘的、新奇的旅游体验，让旅游 者在旅行过程中获得多层次需求的满足成为旅游企业努力的方向。在体验经济时代背景下，针对乡 村花卉旅游市场，了解游客市场需求，发挥资源优势，转变运营思路，对原有的花卉旅游产品进行提升 和创新是目前值得思考研究的课题。根据模型提出乡村花卉旅游产品的提升策略，主要是针对存在 的问题提出相应的解决方案，结合理论给出系统的产品建议，同时也提出了政府、企业、乡村、人才培 养等方面保障建议以促进花卉旅游的可持续发展。     

森林抚育技术要点及其合理化建设策略

随着我国经济的发展和社会的进步，国家需要不断提高对于森林资源的重视程度，并且在对 森林抚育技术的应用过程中，提出更加有作用的要点和建设策略。     

林麝肺源ST1249型铜绿假单胞菌的分离鉴定及其全基因组序列分析

【目的】对分离自林麝化脓肺脏的1株疑似铜绿假单胞菌(PA)进行鉴定,并分析其致病和耐药机制,为林麝PA感染化脓性疾病的防控奠定基础。【方法】将病原菌分离纯化后,依次进行生化试验、16S rRNA序列分析、药敏试验和小鼠致病性试验,并通过全基因组测序,对分离菌株进行群体进化和物种分型分析以及基因功能注释。【结果】分离自林麝化脓肺脏的1株疑似铜绿假单胞菌经鉴定与PA相符,命名为FMDP001。药敏试验显示其对阿莫西林、头孢曲松、氨曲南、多粘菌素B和林可霉素耐药;对小鼠半数致死量为9.4×10~5 CFU/mL。全基因组序列分析显示该菌基因组大小为6 955 100 bp,序列类型为ST1249,与B136-33株同源性最高,且两菌株基因组平均核苷酸一致性(ANI)值达98.93%;全基因组中共有357个序列编码FMDP001与致病性相关的基因,根据功能分为黏附、铁摄取、胞外毒性蛋白和调控系统;84个序列编码耐药基因,其中多药耐药外排泵为主要成分。【结论】从林麝化脓肺脏中分离到1株致病性较强的PA,并获得ST1249型林麝源PA的全基因组序列,序列显示该菌携带大量药物外排泵及生物膜形成相关基因,决定其具有多重耐药特性,哌拉西林等可作为该类型PA感染的临床用药。