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70 results for “entomopathogenic fungi”
Fig. 3 in Isolation of native strains of entomopathogenic fungi from agricultural soils of northeastern Mexico and their virulence on Spodoptera exigua (Lepidoptera: Noctuidae)
Fig. 3. Changes in the metamorphosis of Spodoptera exigua caused by isolates (HEB1, HIB-12) and collection strains (GHA, Ma) of entomopathogenic fungi under laboratory conditions (26 °C, 65 ± 5% RH, 14:10 h [L:D] photoperiod). (A) HEB1 (Beauveria bassiana); (B) GHA (Beauveria bassiana); (C) HIB-12 (Metharizium anisopliae); (D) Ma (Metharizium anisopliae). Lines in the bars indicate the standard error.
Fig. 2 in Isolation of native strains of entomopathogenic fungi from agricultural soils of northeastern Mexico and their virulence on Spodoptera exigua (Lepidoptera: Noctuidae)
Fig. 2. Interruption of the metamorphosis of Spodoptera exigua caused by isolates (HEB1, HIB-12) and collection strains (GHA, Ma) of entomopathogenic fungi under laboratory conditions (26 °C, 65 ± 5% RH, 14:10 h [L:D] photoperiod). Lines in the bars indicate the standard error.
Fig. 1 in Isolation of native strains of entomopathogenic fungi from agricultural soils of northeastern Mexico and their virulence on Spodoptera exigua (Lepidoptera: Noctuidae)
Fig. 1. Phylogenetic tree reconstructed from internal transcribed spacer sequences of the isolates compared with referenced internal transcribed spacer sequences deposited in the NCBI GenBank. The phylogram size bar represents a 1% sequence divergence. Labelled branches represent referenced internal transcribed spacer sequences.
Fig. 3 in Carrier and vector of Pectobacterium carotovorum subsp. carotovorum and its handling through a base of entomopathogenic fungi in Agave sp.
Fig. 3. Massive growth of the Metarhizium anisopliae fungus on the Pectobacterium carotovora bacterium.
Fig. 2 in Carrier and vector of Pectobacterium carotovorum subsp. carotovorum and its handling through a base of entomopathogenic fungi in Agave sp.
Fig. 2. Countable growth of the Pectobacterium carotovora bacterium in a BD Bioxion cultivation medium (MacConkey agar).
Fig. 1 in Carrier and vector of Pectobacterium carotovorum subsp. carotovorum and its handling through a base of entomopathogenic fungi in Agave sp.
Fig. 1. (A) Growth of the Beauveria bassiana bacterium; (B) Growth of the Pectobacterium carotovorum bacterium.
Fig. 5 in An Agricultural Detergent as Co-Adjuvant for Entomopathogenic Fungi and Chlorpyrifos to Control Pseudococcus viburni (Hemiptera: Pseudococcidae)
Fig. 5. Mortality (%) of Pseudococcus viburni females to (A) chlorpyrifos alone, and (B) mixed with a nonlethal concentration of TS-2035.
Fig. 4 in An Agricultural Detergent as Co-Adjuvant for Entomopathogenic Fungi and Chlorpyrifos to Control Pseudococcus viburni (Hemiptera: Pseudococcidae)
Fig. 4. Mycelium growth of (A-C) Beauveria bassiana, and (D-F) Metarhizium anisopliae on Pseudococcus viburni females at 24, 72, and 172 h afer exposure.
Fig. 3 in An Agricultural Detergent as Co-Adjuvant for Entomopathogenic Fungi and Chlorpyrifos to Control Pseudococcus viburni (Hemiptera: Pseudococcidae)
Fig. 3. Mortality (%) of Pseudococcus viburni females to (A) Metarhizium anisopliae alone, and (B) mixed with a nonlethal concentration of TS-2035.
Fig. 1 in An Agricultural Detergent as Co-Adjuvant for Entomopathogenic Fungi and Chlorpyrifos to Control Pseudococcus viburni (Hemiptera: Pseudococcidae)
Fig. 1. Mortality (%) of Pseudococcus viburni females afer exposure to several concentrations of TS-2035.
Fig. 2 in An Agricultural Detergent as Co-Adjuvant for Entomopathogenic Fungi and Chlorpyrifos to Control Pseudococcus viburni (Hemiptera: Pseudococcidae)
Fig. 2. Mortality (%) of Pseudococcus viburni females to (A) Beauveria bassiana alone, and (B) mixed with a nonlethal concentration of TS-2035.
Figure 5 in Entomopathogenic Fungi as Mortality Factors of Macadamia Felted Coccid, Eriococcus ironsidei (Hemiptera: Eriococcidae) in Hawaii
Figure 5. Mean mortality (±SEM) of E. ironsidei after dipping in increasing conidial concentrations of P. coccorum. Bars with different letters differ significantly (α = 0.05) by LSD.
Figure 6 in Entomopathogenic Fungi as Mortality Factors of Macadamia Felted Coccid, Eriococcus ironsidei (Hemiptera: Eriococcidae) in Hawaii
Figure 6. Mean mortality (±SEM) of E. ironsidei after dipping in increasing conidial concentrations of B. bassiana. Bars with different letters differ significantly (α = 0.05) by LSD.
Figure 2 in Entomopathogenic Fungi as Mortality Factors of Macadamia Felted Coccid, Eriococcus ironsidei (Hemiptera: Eriococcidae) in Hawaii
Figure 2. Mean (±SEM) length of time E. ironsidei continued to reproduce following treatment with different conidial concentrations of P. coccorum. Bars with different letters differ significantly (α = 0.05) by LSD.
Figure 1 in Entomopathogenic Fungi as Mortality Factors of Macadamia Felted Coccid, Eriococcus ironsidei (Hemiptera: Eriococcidae) in Hawaii
Figure 1. Mean (±SEM) length of time E. ironsidei continued to reproduce following treatment with different conidial concentrations of C. griseum. Bars with different letters differ significantly (α = 0.05) by LSD.
Figure 3 in Entomopathogenic Fungi as Mortality Factors of Macadamia Felted Coccid, Eriococcus ironsidei (Hemiptera: Eriococcidae) in Hawaii
Figure 3. Mean (±SEM) length of time E. ironsidei continued to reproduce following treatment with different conidial concentrations of B. bassiana. Bars with different letters differ significantly (α = 0.05) by LSD.
Data from: Insect hypovirulence-associated mycovirus confers entomopathogenic fungi with enhanced resistance against phytopathogens
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FIGURE 2 in Population Trends Of The Red Palm Mite, Raoiella Indica Hirst (Acari: Tenuipalpidae) And Associated Entomopathogenic Fungi In Trinidad, Antigua, St Kitts And Nevis And Dominica
FIGURE 2: Identified material from selected samples in the different islands evaluated. NB. For reference, the population density (mites/cm2) from Trinidad-Icacos (10.69), Trinidad (5.79), Antigua (3.38), St. Kitts and Nevis (6.17) and Dominica (4.94).
EntomoFun 1.0: A global database of entomopathogenic fungi and associations with their hosts
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Data from: Agroforestry coffee soils increase the insect-suppressive potential offered by entomopathogenic fungi over full-sun soils: a case proposing a "bait-survival technique"
Entomopathogenic fungi are important natural enemies of insects. However, there is little information on the insect-suppressive potential of these fungi and possible effects of farming management on this. Meanwhile, changes in natural landscapes due to agricultural intensification have caused considerable biodiversity loss and consequent decay of ecosystem services. However, the adoption of practices such as agroforestry in agroecosystems can foster abiotic and biotic conditions that conserve biodiversity, consequently restoring the provision of ecosystems services. Here, we assessed the effect of management systems (agroforestry or full-sun) on the pest-suppressive potential of entomopathogenic fungi in Brazilian coffee plantations. We used the insect-bait method coupled with survival analyses to assess the speed of kill by entomopathogenic fungi and their presence in soil samples from both farming systems. We found that insects exposed to agroforestry soils died more quickly than insects exposed to full-sun soils. Of the fungi isolated from the insect-baits, Metarhizium was found most frequently, followed by Beauveria. Meanwhile, Fusarium was frequently isolated as primary or secondary infections. We propose that the differential survival of insects is indicative of a greater suppressive potential by entomopathogenic fungi in agroforestry, and that this could be promoted by the diversified landscape, microclimatic stability and reduced soil disturbance in agroforestry systems. Furthermore, our results provide a useful demonstration of the potential use of the insect bait method to investigate pest suppressive potential through insect-bait mortality, and we term this the "bait survival technique".
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Allen Brain Atlas
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International Brain Laboratory public data
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OpenNeuro
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