222 resultados para Hog lice


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Bibliography: p. 30.

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Caption title.

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"January 18, 1908."

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Reproduced from type-written copy.

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Saline Valley Farms was an experiment in cooperative farming and living begun in 1932 by Harold S. Gray.

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"February 1974"

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Mode of access: Internet.

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Mode of access: Internet.

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Mode of access: Internet.

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The prevalence of infestation with head lice and body lice, Pediculus spp. (Phthiraptera: Pediculidae) and pubic (crab) lice Pthirus pubis (L.) (Phthiraptera: Pthiridae), was recorded from 484 people in Nepal. The prevalence of head lice varied from 16% in a sample of people aged 10-39 years of age, to 59% in street children. Simultaneous infestations with head and body lice (double infestations) varied from 18% in slum children to 59% in street children.

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The Paraneoptera (Hemipteroid Assemblage) comprises the orders Thysanoptera (thrips), Hemiptera (bugs), Phthiraptera (lice) and Psocoptera (booklice and barklice). The phylogenetic relationships among the Psocodea (Phthiraptera and Psocoptera), Thysanoptera and Hemiptera are unresolved, as are some relationships within the Psocodea. Here, we present phylogenetic hypotheses inferred from SSU rDNA sequences; the most controversial of which is the apparent paraphyly of the Phthiraptera, which are parasites of birds and mammals, with respect to one family of Psocoptera, the Liposcelididae. The order Psocoptera and the suborder that contains the Liposcelididae, the Troctomorpha, are also paraphyletic. The two remaining psocopteran suborders, the Psocomorpha and the Trogiomorpha, are apparently monophyletic. The Liposcelididae is most closely related to lice from the suborder Amblycera. These results suggest that the taxonomy of the Psocodea needs revision. In addition, there are implications for the evolution of parasitism in insects; parasitism may have evolved twice in lice or have evolved once and been subsequently lost in the Liposcelididae.

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Little is known about the population genetics of the louse infestations of humans. We used microsatellite DNA to study 11 double infestations, that is, hosts infested with head lice and body lice simultaneously. We tested for population structure on a host, and for population structure among seven hosts that shared sleeping quarters. We also sought evidence of migration among louse populations. Our results showed that: (i) the head and body lice on these individual hosts were two genetically distinct populations; (ii) each host had their own populations of head and body lice that were genetically distinct to those on other hosts; and (iii) lice had migrated from head to head, and from body to body, but not between heads and bodies. Our results indicate that head and body lice are separate species.

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The arrangement of genes in the mitochondrial (mt) genomes of most insects is the same, or near-identical, to that inferred to be ancestral for insects. We sequenced the entire mt genome of the small pigeon louse, Campanulotes bidentatus compar, and part of the mt genomes of nine other species of lice. These species were from six families and the three main suborders of the order Phthiraptera. There was no variation in gene arrangement among species within a family but there was much variation in gene arrangement among the three suborders of lice. There has been an extraordinary number of gene rearrangements in the mitochondrial genomes of lice!

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Sea lice (Lepeophtheirus salmonis) are an economically significant parasite in salmonid aquaculture. They exhibit temperature-dependent development rates and salinity-dependent mortality, which can greatly impact sea lice population dynamics, but no deterministic models have incorporated these seasonal variables. To understand how seasonality affects sea lice population dynamics, I derive a delay differential equation model with temperature and salinity dependence. I find that peak reproductive output in Newfoundland and British Columbia differs by four months. A sensitivity analysis shows sea lice abundance is most sensitive to variation in mean annual water temperature and salinity, whereas it is lease sensitive to infection rate. Additionally, I investigate the effects of production cycle timing on sea lice management and find that optimal production cycle start times are between the 281st and 337th days of the year in Newfoundland. I also demonstrate that adjusting follow-up treatment timing in response to temperature can improve treatment regimes. My results suggest that effective sea lice management requires consideration of local temperature and salinity patterns.