Microbial HemG‐type protoporphyrinogen IX oxidase enzymes for biotechnology applications in plant herbicide tolerance traits     

Clayton T Larue  Joel E Ream  Xuefeng Zhou  Farhard Moshiri  Arlene Howe  Michael Goley  Oscar C Sparks  Steven T Voss  Erin Hall  Christine Ellis  Janice Weihe  Qungang Qi  Daniela Ribeiro  Xiaoping Wei  Shirley Guo  Artem G Evdokimov  Marguerite J Varagona  James K Roberts 《Pest management science》2020,76(3):1031-1038

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Exploiting chemical ecology to manage hyperparasitoids in biological control of arthropod pests     

Antonino Cusumano  Jeffrey A Harvey  Mitchel E Bourne  Erik H Poelman  Jetske G de Boer 《Pest management science》2020,76(2):432-443

Insect hyperparasitoids are fourth trophic level organisms that commonly occur in terrestrial food webs, yet they are relatively understudied. These top‐carnivores can disrupt biological pest control by suppressing the populations of their parasitoid hosts, leading to pest outbreaks, especially in confined environments such as greenhouses where augmentative biological control is used. There is no effective eco‐friendly strategy that can be used to control hyperparasitoids. Recent advances in the chemical ecology of hyperparasitoid foraging behavior have opened opportunities for manipulating these top‐carnivores in such a way that biological pest control becomes more efficient. We propose various infochemical‐based strategies to manage hyperparasitoids. We suggest that a push‐pull strategy could be a promising approach to ‘push’ hyperparasitoids away from their parasitoid hosts and ‘pull’ them into traps. Additionally, we discuss how infochemicals can be used to develop innovative tools improving biological pest control (i) to restrict accessibility of resources (e.g. sugars and alternative hosts) to primary parasitoid only or (ii) to monitor hyperparasitoid presence in the crop for early detection. We also identify important missing information in order to control hyperparasitoids and outline what research is needed to reach this goal. Testing the efficacy of synthetic infochemicals in confined environments is a crucial step towards the implementation of chemical ecology‐based approaches targeting hyperparasitoids. © 2019 The Authors. Pest Management Science published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.  相似文献   

Effects of chronic dietary thiamethoxam and prothioconazole exposure on Apis mellifera worker adults and brood     

Sarah C Wood  Igor Medici de Mattos  Ivanna V Kozii  Colby D Klein  Ihor Dvylyuk  Crystani D A Folkes  Roney de Carvalho Macedo Silva  Igor Moshynskyy  Tasha Epp  Elemir Simko 《Pest management science》2020,76(1):85-94

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Volatile emissions of watercress (Nasturtium officinale) leaves and passion fruit (Passiflora edulis) seeds against Meloidogyne incognita     

Marcela F Silva  Vicente P Campos  Aline F Barros  Willian C Terra  Mrcio P Pedroso  Vanessa A Gomes  Clerio R Ribeiro  Fabíola J Silva 《Pest management science》2020,76(4):1413-1421

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Hormetic effect of glyphosate persists during the entire growth period and increases sugarcane yield     

Renata P Pincelli‐Souza  Fernanda PAP Bortolheiro  Caio A Carbonari  Edivaldo D Velini  Marcelo de A Silva 《Pest management science》2020,76(7):2388-2394

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Cultivation of Agaricus bitorquis mushroom as an strategy for the Integrated Pest Management of the myceliophagous mite Microdispus lambi     

María J Navarro  Francisco R Lpez‐Serrano  Lucía A Escudero‐Colomar  Francisco J Gea 《Pest management science》2020,76(9):2953-2958

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

Robson B de LIMA 《干旱区科学》2020,12(6):1046-1055

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.  相似文献   

Delineating site-specific management zones on pasture soil using a probabilistic and objective model and geostatistical techniques     

Moral  Francisco J.  Rebollo  Francisco J.  Serrano  João M. 《Precision Agriculture》2020,21(3):620-636

Precision Agriculture - In recent years, different algorithms have been utilised to delineate management zones, areas with similar properties, within agricultural fields. However, there are few...  相似文献   

Comparison between vegetation indices for detecting spatial and temporal variabilities in soybean crop using canopy sensors     

Morlin Carneiro  Franciele  Angeli Furlani  Carlos Eduardo  Zerbato  Cristiano  Candida de Menezes  Patricia  da Silva Gírio  Lucas Augusto  Freire de Oliveira  Mailson 《Precision Agriculture》2020,21(5):979-1007

Precision Agriculture - Crop monitoring through remote sensing techniques enable greater knowledge of average variability in crop growth. Canopy sensors help provide information on the variability...  相似文献   

Prediction of Genetic Gain in Sweet Corn using Selection Indexes     

da Silva  Isadora Gonçalves  Castoldi  Renata  de Oliveira Charlo  Hamilton César  de Souza Miranda  Mateus  Nunes  Thaíssa Dias Cardoso  Costa  Luciene Lacerda  Lemes  Ernane Miranda 《Journal of Crop Science and Biotechnology》2020,23(2):191-196

Journal of Crop Science and Biotechnology - The cultivation of sweet corn is expanding in Brazil, but there are serious constraints about the availability of commercial cultivars. The selection of...  相似文献