Tank-Mix compatibility of the entomopathogenic nematodes, Heterorhabditis bacteriophora and Steinernema carpocapsae, with selected chemical pesticides used in turfgrass

We evaluated the compatibility of two entomopathogenic nematodes, Heterorhabditis bacteriophora HP88 and Steinernema carpocapsae All strain with selected pesticide formulations used in turfgrass in tank-mixes under laboratory conditions. The nematodes were exposed to the recommended rates of pesticides applied in either 100, 300, or 500 L/ha tank-mix volumes in 24-well plates at room temperature for 3 h and infective juveniles (IJ) viability determined, and then tested against Galleria mellonella larvae at 22-26°C for 96 h to assess IJ pathogenicity. We found that S. carpocapsae viability was not affected by any of the pesticides, while aluminum tris and trichlorfon significantly reduced S. carpocapsae pathogenicity at all concentrations. Thiamethoxam and trichlorfon significantly reduced H. bacteriophora viability, while halofenozide, aluminum tris, trichlorfon, and carbaryl significantly reduced H. bacteriophora pathogenicity. Imidacloprid, at the recommended rate 330-440 g AI/ha, significantly increased H. bacteriophora pathogenicity at 500 and 300 L/ha application volume. The integration of these nematode pesticide combinations in turf pest management programs is discussed.     

关于害虫生态防治若干概念的讨论

讨论有关害虫生态防治策略的若干基本概念,包括产生背景,含义,与综合防治等的关系以及实施等。综合防治遇到的一些问题使得人们寻找新的策略,而生态学,计算机,信息科学及分子生物学的知识与技术的普及则催产了生态防治策略。该策略的要义是强调系统观点和经济生态学原则,运用任何适宜的措施调控害虫种群,不断改善农业生态系统功能,实现环境安全,经济高效,生态协调,持续发展的目标,生态防治的定义与综合防治十分接近,实践中难以区分。生态防治策略及措施具有不同的发展阶段,且随国家和地区的条件不同而变化。与综合防治一样,生态防治的实施需要适宜的社会组织,包含社会组织的统一防治2将有助于生态防治的实施。     

Automatic greenhouse insect pest detection and recognition based on a cascaded deep learning classification method

Inspection of insect sticky paper traps is an essential task for an effective integrated pest management (IPM) programme. However, identification and counting of the insect pests stuck on the traps is a very cumbersome task. Therefore, an efficient approach is needed to alleviate the problem and to provide timely information on insect pests. In this research, an automatic method for the multi-class recognition of small-size greenhouse insect pests on sticky paper trap images acquired by wireless imaging devices is proposed. The developed algorithm features a cascaded approach that uses a convolutional neural network (CNN) object detector and CNN image classifiers, separately. The object detector was trained for detecting objects in an image, and a CNN classifier was applied to further filter out non-insect objects from the detected objects in the first stage. The obtained insect objects were then further classified into flies (Diptera: Drosophilidae), gnats (Diptera: Sciaridae), thrips (Thysanoptera: Thripidae) and whiteflies (Hemiptera: Aleyrodidae), using a multi-class CNN classifier in the second stage. Advantages of this approach include flexibility in adding more classes to the multi-class insect classifier and sample control strategies to improve classification performance. The algorithm was developed and tested for images taken by multiple wireless imaging devices installed in several greenhouses under natural and variable lighting environments. Based on the testing results from long-term experiments in greenhouses, it was found that the algorithm could achieve average F₁-scores of 0.92 and 0.90 and mean counting accuracies of 0.91 and 0.90, as tested on a separate 6-month image data set and on an image data set from a different greenhouse, respectively. The proposed method in this research resolves important problems for the automated recognition of insect pests and provides instantaneous information of insect pest occurrences in greenhouses, which offers vast potential for developing more efficient IPM strategies in agriculture.     

Wind tunnel behavioural response and field trapping of the blowfly Calliphora vicina

The attraction of the blowfly Calliphora vicina Robineau‐Desvoidy, 1830 (Diptera: Calliphoridae) to single synthetic compounds, blends and authentic odours was investigated in a wind tunnel. A total of 1850 C. vicina (1750 females and 100 males) were tested. A comparison of male and female responses showed significant differences in attraction between the sexes. Females were more attracted than males to liver odour. The attraction of females lay in the ranges of 0–22% for single compounds, 26–64% for synthetic blends and 58–88% for authentic odours. Dimethyl trisulphide was the most attractive single compound. Significant improvement in attraction was achieved with blends and a three‐component lure, consisting of dimethyl trisulphide, mercaptoethanol and o‐cresol, was found to be the best solution for field trapping of C. vicina. Authentic odours from dead fish and mice were significantly more attractive than liver and the three‐component blend, and the blend and liver were similarly effective as attractants. Field tests support the results of the wind tunnel study and a high number of C. vicina were caught in funnel traps. Overall, 99.1% of the specimens caught were females.     

Hair type,intake, and detection method influence Rhodamine B detectability

Rhodamine B (RB) is a popular bait-marking tool in wildlife research, although its use has required many assumptions about marking reliability. These assumptions have limited dosage ranges and detection methods in research applications. Identification of alternate detection methods, hair types, and dosage rates could create new opportunities for RB use and potentially reduce adverse effects on target animals. We examined the relationship between hair types, dosage rate, and detection method for RB applications using black rats (Rattus rattus) in laboratory settings. We gave study animals varying doses of RB, and examined vibrissae and guard hairs for the detection of RB bands using ambient light, ultraviolet (UV) light, and fluorescence microscopy techniques. Fluorescence microscopy detected more RB marked hairs than UV light or ambient light. Fluorescence microscopy was more sensitive to RB dose rate detection; with receiver operating characteristic curves suggesting that the minimum dose rates at which RB intake can be correctly detected are 3.9 and 33 mg/kg for vibrissae and guard hairs, respectively. Guard hair RB detection was less reliable under ambient light and UV lamps, but equally detectable as vibrissae under fluorescence microscopy. Our results confirmed the interrelationship between dosage and detection methods in the efficacy of bait markers. We demonstrated that guard hairs can be a reliable hair type for the detection of RB. This application is less invasive than sampling animal tissues to detect bait uptake. © 2012 The Wildlife Society.     

昆虫RNA干扰中双链RNA的转运方式

昆虫RNA干扰主要指外源双链RNA诱发的,通过阻碍特定基因的翻译或转录,引起内源目标信使RNA沉默的机制。由于RNA干扰的特异性,RNA干扰技术主要应用于昆虫功能基因组和害虫防治的研究。本综述主要对双链RNA引起昆虫体内RNA干扰研究中双链RNA转运的3种方法(显微注射法、喂食法及浸泡与转染法)进行介绍和讨论。这3种方法中,显微注射法能将精确数量的双链RNA迅速转运到目标组织,更适合实验室基因功能的研究;喂食法操作简单快速,适合高通量的基因筛选;浸泡与转染法也适合大规模的基因筛选,但更常见于细胞研究中。     

A molecular method to detect Bacillus cereus from a coffee concentrate sample used in industrial preparations

AIMS: The aim of this work was to develop specific primers which are able to detect Bacillus cereus in a coffee concentrate sample. METHODS AND RESULTS: A pre-PCR step to clean the DNA, used for PCR, was developed to avoid PCR inhibition by Maillard products. The combination of centrifugation and washing the pellet, employing EDTA and water, before DNA extraction improved the detection of low numbers of B. cereus cells (10 cells ml-1). The development of specific primers enabled to detect low numbers of B. cereus without the need of a pre-enrichment step. CONCLUSIONS: The data obtained demonstrated the specificity and the sensitivity of the primers that could be used to check the presence of B. cereus in different food products, avoiding the need for labourious and time-consuming culture-based techniques. SIGNIFICANCE AND IMPACT OF THE STUDY: The method could help food microbiologists to check food samples quickly for the presence of B. cereus.     

The ability of synthetic sex pheromone traps to forecast Plutella xylostella infestations depends on survival of immature stages

The potential for using synthetic sex pheromone traps as a simple and practical method of monitoring population densities of insect pests has been investigated in many crop systems. Yet, factors enabling the forecast of infestations based on pheromone trap catches are not fully understood. This study tested the prediction that high survival of immature stages of the target pest is a pre‐requisite for trap catches to correlate well with future infestations on the crop. The influence of parasitoids, as an important natural mortality factor of diamondback moth, Plutella xylostella (L.) (Lepidoptera: Plutellidae), larvae and pupae in South Africa, on the ability of pheromone traps to forecast infestations was investigated continuously at weekly intervals over 6 years on unsprayed cabbage. During late October–May, when parasitism levels were high (≥50%), infestations and trap catches were significantly lower than during low parasitism (<50%) observed during June–early October. Because infestations were negatively related to parasitism level, trap catches correlated with infestations better when observations were made in the same week during periods of high parasitism. Conversely, when survival of P. xylostella immature stages was high due to low parasitism levels, trap catches correlated with future infestations well for up to 2 weeks. Thus, trap catches can be used to forecast infestations during September–October, a period that coincides with high P. xylostella infestations as a consequence of low natural control by parasitoids. This is the first study to show that the ability of pheromone trap catches to forecast infestations depends on survival of the immature stages of the target pest.     

Subcellular fractionation of midgut cells of the sunn pest Eurygaster integriceps (Hemiptera: Scutelleridae): Enzyme markers of microvillar and perimicrovillar membranes

The subcellular distributions of six digestive and non-digestive enzymes (α-glucosidase, β-glucosidase, alkaline phosphatase, acid phosphatase, aminopeptidase and lactate dehydrogenase) of Eurygaster integriceps have been studied. The subcellular distributions of acid phosphatase and α-glucosidase are similar and the gradient ultracentrifugation profiles of these two enzymes overlap. Two partially membrane-bound enzymes, alkaline phosphatase and β-glucosidase have similar distributions in differential centrifugation fractions, which are different from that of α-glucosidase. Sucrose gradient ultracentrifugation of membranes from luminal contents showed that β-glucosidase carrying membranes are heavier. SDS-polyacrylamide gel electrophoresis (SDS-PAGE) revealed that the profile of proteins extracted from β-glucosidase carrying membranes is different from that of α-glucosidase carrying membranes. We conclude that β-glucosidase and aminopeptidase are markers of microvillar membrane (MM) and perimicrovillar space, respectively, while α-glucosidase and acid phosphatase are perimicrovillar markers. In E. integriceps V1 luminal content is a rich source of PMM and MM and that is used to resolve these membranes.