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Narendra, G.
- Effect of Insecticides on Some Biological Parameters of Trichogramma chilonis Ishii (Hymenoptera: Trichogrammatidae)
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PDF Views:118
Authors
Affiliations
1 Department of Entomology, Chaudhary Charan Singh Haryana Agricultural University, Hisar 125004, Haryana, IN
1 Department of Entomology, Chaudhary Charan Singh Haryana Agricultural University, Hisar 125004, Haryana, IN
Source
Journal of Biological Control, Vol 27, No 1 (2013), Pagination: 48-52Abstract
Bioassay studies carried out to determine the toxicity of seven insecticides (viz. endosulfan 0.07%, imidacloprid 0.004%, spinosad 0.01%, triazophos 0.08%, thiodicarb 0.075%, novaluron 0.01% and azadirachtin @1ml/L) to Trichogramma chilonis has shown that spinosad was the most toxic in all the studies followed by triazophos. Spinosad resulted in only 17.80 per cent parasitization and 3.97 per cent adult emergence from the host eggs, Corcyra cephalonica Stainton treated before parasitization. Novaluron was found to be the safest resulting in 58.93 per cent parasitization and 89.72 per cent adult emergence from the host eggs treated before parasitization. The parasitization in other insecticides ranged from 20.00 to 40.47 per cent. Spinosad was also found highly toxic to all the immature stages of T. chilonis resulting in only 0.46, 0.66 and 0.65 per cent adult emergence when the parasitoid was treated in the egg, larval and pupal stages, respectively. Novaluron was found to be safe to all the immature stages of the parasitoid resulting in 86.75, 87.84 and 87.46 per cent adult emergence when treated in egg, larval and pupal stages, respectively. The parasitoid adult emergence in other insecticides ranged from 57.95 to 88.63 per cent when treated in egg stage, 53.97 to 87.12 per cent when treated in larval stage and 61.46 to 87.15 per cent when treated in pupal stage.Keywords
Parasitisation, Adult Emergence, Insecticides, Trichogramma chilonis.Full Text
References
- Anonymous. 2008. Kharif phaslon ki samagra sipharishen. Directorate of Extension Education, CCS HAU, Hisar. 234 pp.
- Anonymous. 2009. Phal-Phul-Sabji utpadan evan parirakshan (Samagra Sipharishen). Directorate of Extension Education, CCS HAU, Hisar. 262 pp.
- Basappa H. 2007. Toxicity of biopesticides and synthetic insecticides to egg parasitoid, Trichogramma chilonis and coccinellid predator, Cheilomenes sexmaculata (Fabricius). J Biolo Control 21(1): 31–36.
- Bastos CS, Almeida RP de, Suinaga FA. 2006. Selectivity of pesticides used on cotton (Gossypium hirsutum) to Trichogramma pretiosum reared on two laboratoryreared hosts. Pest Management Science 62(1): 91–98.
- Consoli FL, Botelho PSM, Parra JRP. 2001. Selectivity of insecticides to the egg parasitoid, Trichogramma galloi Zucchi, 1988, (Hymenoptera: Trichogrammatidae). J Applied Entomol 125(1/2): 37–43.
- Giolo FP, Grutzmacher AD, Manzoni CG, Lima CAB de, Nornberg SD. 2007. Toxicity of pesticides used in peach orchard on adults of Trichogramma pretiosum. Bragantia 66(3): 423–431.
- Goulart RM, Bortoli SAde, Thuler RT, Pratissoli D, Viana CLTP, Volpe HXL. 2008. Evaluation of the selectivity of insecticides to Trichogramma spp. (Hymenoptera: Trichogrammatidae) in different hosts. Arquivos do Instituto Biologico Sao Paulo 75(1): 069–077.
- Jalali SK, Singh SP. 2003 Effect of neem product and bio-pesticides on egg parasitoid, Trichogramma chilonis Ishii. J Appl Zool Res. 14(2): 125–128.
- Junior SGJ, Grutzmacher AD, Grutzmacher DD, de Lima CAB, Dalmozo DO, Paschoal MDF. 2008a. Seletividade de herbicidas registrados para a cultura do milho a adultos de Trichogramma pretiosum (Hymenoptera: Trichogrammatidae). Planta Daninha 26: 343–351.
- Junior SGJ, Grutzmacher AD, Grutzmacher DD, Dalmazo GO, Paschoal MDF, Harter W R. 2008b. The effect of insecticides used in corn crops on the parasitism capacity of Trichogramma pretiosum Riley, 1879, (Hymenoptera: Trichogrammatidae). Arquivos-do- Instituto-Biologico-Sao-Paulo 75(2): 187–194.
- Ksentini I, Jardak T, Zeghal N. 2010. Bacillus thuringiensis, deltamethrin and spinosad side-effects on three Trichogramma species. Bulletin of Insectology 63(1): 31–37.
- Mason PG, Erlandson MA, Elliott RH, Harris BJ. 2002. Potential impact of spinosad on parasitoids of Mamestra configurata (Lepidoptera: Noctuidae). Canadian Entomologist 134(1): 59–68.
- Nevarez GG, Pando FJQ, Ontiveros CGB, Sanchez NC. 2009. Dispersal of Trichogramma spp. on pecan trees and its susceptibility to selective insecticides. South western Entomologist 34(3): 319–326.
- Ramesh B, Manickavasagam S. 2006. Non-killing effects of certain insecticides on the development and parasitic features of Trichogramma spp. Ind J Pl Prot. 34(1): 40–45.
- Saber M, Hejazi MJ, Hassan SA. 2004. Effects of azadirachtin/Neemazal on different stages and adult life table parameters of Trichogramma cacoeciae (Hymenoptera: Trichogrammatidae). J Econo Entomol. 97(3): 905–910.
- Singh S, Sharma M. 2008. Impact of some insecticides recommended for sugarcane insect pests on emergence and parasitism of Trichogramma japonicum (Ashmead). Pesticide Research Journal 20(1): 87–88.
- Srinivasan G, Babu PCS, Murugeswari V. 2001. Effect of neem products and insecticides on the egg parasitoids, Trichogramma spp. (Trichogrammatidae: Hymenoptera). Pesticide Res J. 13(2): 250–253.
- Stinner RE, Ridgway RL, Coppedge JR, Morrison RK, Dickerson WA. 1974. Parasitism of Heliothis eggs after field releases of Trichogramma pretiosum, in cotton. Environ Entomol. 3: 497–500.
- Effect of Insecticides on Some Biological Parameters of Trichogramma chilonis Ishii (Hymenoptera: Trichogrammtidae)
Abstract Views :337 |
PDF Views:125
Authors
Affiliations
1 Department of Entomology, Chaudhary Charan Singh, Haryana Agricultural University, Hisar 125 004, Haryana, IN
1 Department of Entomology, Chaudhary Charan Singh, Haryana Agricultural University, Hisar 125 004, Haryana, IN
Source
Journal of Biological Control, Vol 27, No 2 (2013), Pagination: 130-134Abstract
Bioassay carried out to determine the toxicity of seven insecticides (viz. endosulfan 0.07%, imidacloprid 0.004%, spinosad 0.01%, triazophos 0.08%, thiodicarb 0.075%, novaluron 0.01% and azadirachtin @1ml/L) to Trichogramma chilonis showed that spinosad was the most toxic in all the studies followed by triazophos. Spinosad resulted in only 17.80 per cent parasitization and 3.97 per cent adult emergence from the host eggs, Corcyra cephalonica Stainton treated before parasitization. Novaluron was found to be the safest resulting in 58.93 per cent parasitization and 89.72 per cent adult emergence from the host eggs treated before parasitization. The parasitization in other insecticides ranged from 20.00 to 40.47 per cent. Spinosad was also found highly toxic to all the immature stages of T. chilonis resulting in only 0.46, 0.66 and 0.65 per cent adult emergence when the parasitoid was treated in the egg, larval and pupal stages, respectively. Novaluron was found to be safe to all the immature stages of the parasitoid resulting in 86.75, 87.84 and 87.46 per cent adult emergence when treated in egg, larval and pupal stages, respectively. The parasitoid adult emergence in other insecticides ranged from 57.95 to 88.63 per cent when treated in egg stage, 53.97 to 87.12 per cent when treated in larval stage and 61.46 to 87.15 per cent when treated in pupal stage.Keywords
Parasitization, Adult Emergence, Insecticides, Trichogramma chilonis.Full Text
References
- Anonymous. 2008. Kharif phaslon ki samagra sipharishen. Directorate of Extension Education, CCS HAU, Hisar. 234 pp.
- Anonymous. 2009. Phal-Phul-Sabji utpadan evan parirakshan (Samagra Sipharishen). Directorate of Extension Education, CCS HAU, Hisar. 262 pp.
- Basappa H. 2007. Toxicity of biopesticides and synthetic insecticides to egg parasitoid, Trichogramma chilonis and coccinellid predator, Cheilomenes sexmaculata (Fabricius). J Biol Control 21(1): 31–36.
- Bastos CS, Almeida RP de, Suinaga FA. 2006. Selectivity of pesticides used on cotton (Gossypium hirsutum) to Trichogramma pretiosum reared on two laboratoryreared hosts. Pest Mgmt Sci. 62(1): 91–98.
- Consoli FL, Botelho PSM, Parra JRP. 2001. Selectivity of insecticides to the egg parasitoid, Trichogramma galloi Zucchi, 1988, (Hymenoptera: Trichogrammatidae). J Appl Ent. 125(1/2): 37–43.
- Giolo FP, Grutzmacher AD, Manzoni CG, Lima CAB de, Nornberg SD. 2007. Toxicity of pesticides used in peach orchard on adults of Trichogramma pretiosum. Bragantia 66(3): 423–431.
- Goulart RM, Bortoli SAde, Thuler RT, Pratissoli D, Viana CLTP, Volpe HXL. 2008. Evaluation of the selectivity of insecticides to Trichogramma spp. (Hymenoptera: Trichogrammatidae) in different hosts. Arquivos do Instituto Biologico Sao Paulo. 75(1): 69–77.
- Jalali SK, Singh SP. 2003 Effect of neem product and bio-pesticides on egg parasitoid, Trichogramma chilonis Ishii. J App Zool Res. 14(2): 125–128.
- Junior SGJ, Grutzmacher AD, Grutzmacher DD, de Lima CAB, Dalmozo DO, Paschoal MDF. 2008a. Seletividade de herbicidas registrados para a cultura do milho a adultos de Trichogramma pretiosum (Hymenoptera: Trichogrammatidae). Planta Daninha 26: 343–351.
- Junior SGJ, Grutzmacher AD, Grutzmacher DD, Dalmazo GO, Paschoal MDF, Harter W R. 2008b. The effect of insecticides used in corn crops on the parasitism capacity of Trichogramma pretiosum Riley, 1879, (Hymenoptera: Trichogrammatidae). Arquivosdo- Instituto Biologico Sao Paulo. 75(2): 187–194.
- Ksentini I, Jardak T, Zeghal N. 2010. Bacillus thuringiensis, deltamethrin and spinosad side-effects on three Trichogramma species. Bul Ins. 63(1): 31–37.
- Mason PG, Erlandson MA, Elliott RH, Harris BJ. 2002. Potential impact of spinosad on parasitoids of Mamestra configurata (Lepidoptera: Noctuidae). Canadian Entomol. 134(1): 59–68.
- Nevarez GG, Pando FJQ, Ontiveros CGB, Sanchez NC. 2009. Dispersal of Trichogramma spp. on pecan trees and its susceptibility to selective insecticides. Southwestern Ent. 34(3): 319–326.
- Ramesh B, Manickavasagam S. 2006. Non-killing effects of certain insecticides on the development and parasitic features of Trichogramma spp. Indian J Pl Prot. 34(1): 40–45.
- Saber M, Hejazi MJ, Hassan SA. 2004. Effects of azadirachtin/neemazal on different stages and adult life table parameters of Trichogramma cacoeciae (Hymenoptera: Trichogrammatidae). J Eco Ent. 97(3): 905–910.
- Singh S, Sharma M. 2008. Impact of some insecticides recommended for sugarcane insect pests on emergence and parasitism of Trichogramma japonicum (Ashmead). Pesticide Res J. 20(1): 87–88.
- Srinivasan G, Babu PCS, Murugeswari V. 2001. Effect of neem products and insecticides on the egg parasitoids, Trichogramma spp. (Trichogrammatidae: Hymenoptera). Pesticide Res J. 13(2): 250–253.
- Stinner RE, Ridgway RL, Coppedge JR, Morrison RK, Dickerson WA. 1974. Parasitism of Heliothis eggs after field releases of Trichogramma pretiosum, in cotton. Env Ent. 3: 497–500.
- Dimensionality Reduction based Classification Using Generative Adversarial Networks Dataset Generation
Abstract Views :76 |
PDF Views:1
Authors
G. Narendra
1,
D. Sivakumar
1
Affiliations
1 Department of Electronics and Instrumentation Engineering, Annamalai University, IN
1 Department of Electronics and Instrumentation Engineering, Annamalai University, IN
Source
ICTACT Journal on Image and Video Processing, Vol 13, No 1 (2022), Pagination: 2786-2790Abstract
The term data augmentation refers to an approach that can be used to prevent overfitting in the training dataset, which is where the issue first manifests itself. This is based on the assumption that extra datasets can be improved by include new information that is of use. It is feasible to create an artificially larger training dataset by utilizing methods such as data warping and oversampling. This will allow for the creation of more accurate models. This idea is demonstrated through the application of a variety of different methods, some of which include neural style transfer, adversarial training, and erasure by random erasure, amongst others. By utilizing oversampling augmentations, it is feasible to create synthetic instances that can be incorporated into the training data. This is made possible by the generation of synthetic instances. There are numerous illustrations of this, including image merging, feature space enhancements, and generative adversarial networks, to name a few (GANs). In this paper, we aim to provide evidence that a Generative Adversarial Network can be used to convert regular images into Hyper Spectral Images (HSI). The purpose of the model is to generate data by including a certain amount of unpredictable noise.Keywords
Data Augmentation, GAN, Hyper Spectral Images, Classification.
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