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Resultado 11-20 de 35.
Ano de publicaçãoTítuloAutor(es)
2008Response of the parasitoid Telenomus podisi to induced volatiles from soybean damaged by stink bug herbivory and oviposition.MORAES, M. C. B.; PAREJA, M.; LAUMANN, R. A.; HOFFMANN CAMPO, C. B.; BORGES, M.
2007Response or the aphid parasitoid Aphidius funebris to volatiles from undamaged and aphid-infested Centaurea nigra.PAREJA, M.; MORAES, M. C. B.; CLARK, S. J.; BIRKETT, M. A.; POWELL, W.
2008Food and humidity effect sex pheromone ratios in the stink bug, Euschistus heros.MORAES, M. C. B.; BORGES, M.; PAREJA, M.; VIEIRA, H. G.; SERENO, F. T. P. de S.; LAUMANN, R. A.
2021Priming of indirect defence responses in maize is shown to be genotype-specific.MICHEREFF, M. F. F.; GRYNBERG, P.; TOGAWA, R. C.; COSTA, M. M. do C.; LAUMANN, R. A.; ZHOU, J.-J.; SCHIMMELPFENG, P. H. C.; BORGES, M.; PICKETT, J. A.; BIRKETT, M. A.; MORAES, M. C. B.
2021Inhibitory copulation effect of vibrational rival female signals of three stink bug species as a tool for mating disruption.DIAS, A. M.; BORGES, M.; MORAES, M. C. B.; COELHO, M. L. F.; COKL, A.; LAUMANN, R. A.
2021Influence of semiochemicals present in the scales of Spodoptera frugiperda on chemotactic behavior of Trichogramma pretiosum.VARGAS, C. C.; REDAELLI, L. R.; SANT'ANA, J.; MORAES, M. C. B.; LAUMANN, R. A.; BORGES, M.
2022Neotropical maize genotypes with different levels of benzoxazinoids affect fall armyworm development.MICHEREFF, M. F. F.; NASCIMENTO, I. N.; SANTANA, G. T.; SARRIA, A. L. F.; BORGES, M.; LAUMANN, R. A.; WITHALL, D. M.; CAULFIELD, J. C.; BIRKETT, M. A.; MORAES, M. C. B.
2007Eavesdropping on sexual vibratory signals of stink bugs (Hemiptera: Pentatomidae) by the egg parasitoid Telenomus podisi.LAUMANN, R. A.; MORAES, M. C. B.; COKL, A.; BORGES, M.
2007Inter- and intraspecific variation in defensive compounds produced by five neotropical stink bug species (Hemiptera: Pentatomidae).PAREJA, M.; BORGES, M.; LAUMANN, R. A.; MORAES, M. C. B.
2022An impact analysis of pre-processing techniques in spectroscopy data to classify insect-damaged in soybean plants with machine and deep learning methods.OSCO, L. P.; FURUYA, D. E. G.; FURUYA, M. T. G.; CORRÊA, D. V.; GONÇALVEZ, W. N.; MARCATO JUNIOR, J.; BORGES, M.; MORAES, M. C. B.; MICHEREFF, M. F. F.; AQUINO, M. F. S.; LAUMANN, R. A.; LISENBERG, V.; RAMOS, A. P. M.; JORGE, L. A. de C.
Resultado 11-20 de 35.

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