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首页> 外文期刊>Medical and Veterinary Entomology >A model for the relationship between wing fray and chronological and ovarian ages in tsetse (Glossina spp)
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A model for the relationship between wing fray and chronological and ovarian ages in tsetse (Glossina spp)

机译:TSETSE(Glossina SPP)中翼磨词与卵巢年龄和卵巢年龄的关系的模型

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摘要

Age-dependent mortality changes in haematophagous insects are difficult to measure but are important determinants of population dynamics and vectorial capacity. A Markov process was used to model age-dependent changes in wing fray in tsetse (Glossina spp), calibrated using published mark-recapture data for male G. m. morsitans in Tanzania. The model was applied to female G. m. morsitans, captured in Zimbabwe using a vehicle-mounted electric net and subjected to ovarian dissection and wing fray analysis. Rates of fray increased significantly with age in males but not females, where the rate was constant for ovarian categories 0-3. A jump in mean fray between ovarian categories 3 and 4 + 4n is consistent with the latter category including flies that have ovulated 4, 8, 12, 16 times and so on. The magnitude of the jump could, theoretically, facilitate improved mortality estimates. In practice, although knowledge of fly mortality was required for modelling wing fray, mortality estimates derived from ovarian dissection data are independent of patterns and rates of change in wing fray. Significantly better fits to ovarian age data resulted when age-specific mortality was modelled as the sum of two exponentials, with high mortality in young and old flies, than when mortality was constant at 2.3% per day.
机译:血液昆虫血液的年龄依赖性死亡率难以测量,但是人口动态和矢量容量的重要决定因素。 Markov过程用于模拟TSetse(Glossina SPP)中的机翼磨损的年龄依赖性变化,使用发布的标记 - 重新捕获数据进行校准的男性G.M。坦桑尼亚的Morsitans。该模型应用于雌性G. m。 Morsitans,在津巴布韦捕获的车载电网并经受卵巢解剖和机翼磨损分析。弗雷的速率显着增加了男性年龄,但不是女性,卵巢类别0-3的速度是恒定的。卵巢类别3和4 + 4N之间的平均磨损的跳跃与后一种类别一致,包括具有4,8,12,16次等的苍蝇。理论上,跳跃的大小可以促进改善的死亡率估计。在实践中,尽管对翼磨的需要了解飞行死亡率,但是卵巢解剖数据的死亡率估计与翼磨损的模式和变化率无关。当年龄特异性死亡率被建模为2个指数的年龄的年龄数据,显着更好地适合卵巢年龄数据,其两种指数的总和,年轻和旧苍蝇的死亡率高,而不是每天死亡率为2.3%。

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