Thermal requirements and age-specific life tables of cowpea aphids in cowpea under natural field conditions

José Edmir Girão Filho, Luiz F. M. Pádua, Gilson Lages Fortes Portela, F. M. D. Sousa
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引用次数: 1

Abstract

ABSTRACT: Thermal requirements and life tables of insects are important tools in the ecological management of pests. Thus, this study aimed to construct age-specific life tables for Aphis craccivora at different times of the year and, based on their thermal requirements, predict the occurrence of adults under field conditions. To that end, aphids of known age were kept in cages over cowpea plants at different times of the year - November 2016 and March, April, and June 2017 - at the Agricultural Sciences Center of the Federal University of Piauí. Parameters of development, fertility, and mortality were observed daily, allowing us to construct age-specific life tables, as well as an accumulated degree-day model to predict adult occurrence. The time of year affected the first and second stages of development of the cowpea aphid, the nymphal and reproductive periods, longevity, the biological cycle, the number of nymphs produced per female, the daily production of nymphs per female, life expectancy (ex), and survival (Lx). However, the fertility life tables showed significant differences only in the net reproduction rate (R0). The proposed degree-day model reached an accuracy of one day or more than the observed value, with a maximum error of 12.9%. We concluded that the proposed model is adequate to predict the occurrence of adults in the field and that the population parameters of A. craccivora in cowpea are negatively affected during November and positively affected in June.
自然田间条件下豇豆蚜虫的热需求和年龄特异性生命表
摘要:昆虫热需要量和生命表是害虫生态管理的重要工具。因此,本研究的目的是构建一年中不同时期克拉科蚜的年龄特异性生命表,并根据其热需求预测野外条件下成虫的发生。为此,在Piauí联邦大学农业科学中心,在一年中不同的时间(2016年11月和2017年3月、4月和6月),将已知年龄的蚜虫放在豇豆植物上的笼子里。每天观察发育、生育力和死亡率的参数,使我们能够构建特定年龄的生命表,以及累积学位日模型来预测成年发生率。一年四季影响豇豆蚜虫的第一和第二发育阶段、若虫期和繁殖期、寿命、生物周期、每只雌虫的若虫数量、每只雌虫的日产量、预期寿命(ex)和存活率(Lx)。然而,生育寿命表仅在净繁殖率(R0)上显示显著差异。提出的度-日模型比观测值有一天以上的精度,最大误差为12.9%。结果表明,该模型能较好地预测豇豆成虫的发生情况,且其种群参数在11月呈负向影响,6月呈正向影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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