Euschistus heros (F.) (Heteroptera: Pentatomidae) is the most prevalent stink bug pest in Brazil, and populations can be difficult to manage using organophosphates or endosulfan. Because E. heros is difficult to rear in the laboratory, no baseline insecticide susceptibility data have been published. Therefore, we conducted dose-mortality studies using field-collected insects, and, using the results from the dose-mortality studies, we surveyed susceptibility to acephate, methamidophos, and endosulfan in populations from southern and central Brazil. In addition, esterase activity was evaluated among populations as these enzymes have been related to organophosphate resistance. Finally, newer chemistries were evaluated for E. heros population management in small-plot field studies. In the dose-mortality bioassays, variation in susceptibility to methamidophos and endosulfan among populations was significant, but the variation in susceptibility to acephate was not. The population from Londrina (at the Embrapa Soybean Research Station, northern Parana state) was among the most susceptible, whereas the population from Pedrinhas Paulista (southwestern Sao Paulo state) was among the least susceptible. Significant variation among populations was observed in esterase activity with the population from Pedrinhas Paulista having the highest esterase levels and the population from Londrina having among the lowest levels. To survey populations, we used the dose-mortality data for the Londrina population (because it was, consistently, one of the most susceptible populations) to estimate the insecticide concentration that killed 99% of the population (LC99). The corresponding doses were 5.9 microg (AI) of acephate adult(-1), 0.7 microg (AI) methamidophos adult(-1), and 1,600 microg (AI) endosulfan adult(-1). The survey data confirmed the data from the dose-mortality bioassays in that the population from Pedrinhas Paulista was identified as one of the least susceptible and the population from Londrina was one of the most susceptible. The field tests confirmed that older chemistries provided minimal control (< 50% control), whereas the products containing mixtures of pyrethroids and neonicotinoids provided better control (> 60%).

ABSTRACT. Susceptibility of Alphitobius diaperinus (Panzer) (Coleoptera, Tenebrionidae) to cypermethrin, dichlorvos and triflumuron in southern Brazil. The lesser mealworm, Alphitobius diaperinus (Panzer), is an important insect pest in poultry houses in Brazil. Susceptibility of the lesser mealworm collected from eight poultry houses in Paraná state, southern Brazil, was evaluated for cypermethrin, dichlorvos and triflumuron. Adult A. diaperinus were tested in bioassays with cypermethrin and dichlorvos. Larvae were fed rabbit feed wetted with a triflumuron-water solution. Concentration-mortality regressions were estimated using Probit analysis and resistance ratios were calculated based on the susceptible population. Among the field populations evaluated, cypermethrin LC 50 values for adults, ranged from 68.1 to 6,263 ng (AI)/cm 2 . LC 50 values for adults challenged with dichlorvos ranged from 10.3 to 1,385 ng (AI)/cm 2 . One population from Pato Branco showed reduced susceptibility to triflumuron (LC 50 = 272 µg (AI)/ml of solution) when compared to the most susceptible population (LC 50 = 109.8 µg (AI)/ml). Application of cypermethrin and dichlorvos analogues should be managed with caution to minimize insecticide resistance problems.KEYWORDS. Insect growth regulator; lesser mealworm; poultry house; pyrethroid; organophosphates. RESUMO. Suscetibilidade de Alphitobius diaperinus (Panzer) (Coleoptera, Tenebrionidae) a cipermetrina, diclorvós e triflumurom no sul do Brasil. O cascudinho, Alphitobius diaperinus (Panzer), é uma importante praga em aviários no Brasil. A suscetibilidade do cascudinho à cipermetrina, diclorvós e triflumurom foi avaliada em oito aviários do Estado do Paraná, Brasil. Adultos de A. diaperinus foram testados mediante bioensaios com cipermetrina e diclorvós. As larvas foram alimentadas com ração para coelhos impregnada com suspensões de triflumurom. As regressões de concentração-mortalidade foram estimadas usando análise de Probit e as razões de resistência calculadas com base na população suscetível. Entre as populações de campo avaliadas, os valores da CL 50 para adultos tratados com cipermetrina variaram entre 68,1 to 6.263 ng (IA)/cm 2 . Os valores da CL 50 para adultos tratados com diclorvós variaram de 10,3 to 1.385 ng (IA)/cm 2 . Uma população de Pato Branco apresentou reduzida suscetibilidade ao triflumurom (CL 50 = 272 µg (IA)/ml), quando comparada à população mais suscetível (CL 50 = 109,8 µg (IA)/ml de solução). Cipermetrina, diclorvós e análogos devem ser manejados e aplicados com cautela para minimizar os problemas de resistência a inseticidas.

BackgroundComputational discovery of microRNAs (miRNA) is based on pre-determined sets of features from miRNA precursors (pre-miRNA). Some feature sets are composed of sequence-structure patterns commonly found in pre-miRNAs, while others are a combination of more sophisticated RNA features. In this work, we analyze the discriminant power of seven feature sets, which are used in six pre-miRNA prediction tools. The analysis is based on the classification performance achieved with these feature sets for the training algorithms used in these tools. We also evaluate feature discrimination through the F-score and feature importance in the induction of random forests.ResultsSmall or non-significant differences were found among the estimated classification performances of classifiers induced using sets with diversification of features, despite the wide differences in their dimension. Inspired in these results, we obtained a lower-dimensional feature set, which achieved a sensitivity of 90% and a specificity of 95%. These estimates are within 0.1% of the maximal values obtained with any feature set (SELECT, Section “Results and discussion”) while it is 34 times faster to compute. Even compared to another feature set (FS2, see Section “Results and discussion”), which is the computationally least expensive feature set of those from the literature which perform within 0.1% of the maximal values, it is 34 times faster to compute. The results obtained by the tools used as references in the experiments carried out showed that five out of these six tools have lower sensitivity or specificity.ConclusionIn miRNA discovery the number of putative miRNA loci is in the order of millions. Analysis of putative pre-miRNAs using a computationally expensive feature set would be wasteful or even unfeasible for large genomes. In this work, we propose a relatively inexpensive feature set and explore most of the learning aspects implemented in current ab-initio pre-miRNA prediction tools, which may lead to the development of efficient ab-initio pre-miRNA discovery tools.The material to reproduce the main results from this paper can be downloaded from http://bioinformatics.rutgers.edu/Static/Software/discriminant.tar.gz.