Integrating demography, predation rate, and computer simulation for evaluation of Orius strigicollis as biological control agent against Frankliniella intonsa

Integrating demography, predation rate, and computer simulation for evaluation of Orius strigicollis as biological control agent against Frankliniella intonsa
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DOI:
10.1127/entomologia/2020/1082
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发表时间:
2021-01-01
影响因子:
6.9
通讯作者:
Guncan, Ali
Guncan, Ali
中科院分区:
农林科学1区
文献类型:
--
作者:
Ding, Han-Yan;Lin, Ya-Ying;Guncan, Ali

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稻螟Erankliniellaintonsa(Trybom)(缨翅目:蓟马科)是台湾许多园艺和农业作物的重要害虫。糙颈小花蝽(Oriusstrigicollis(Poppius))是一种对豆科和花卉害虫具有很强捕食能力的天敌。采用年龄阶段两性生命表法,将生命表数据与捕食率进行整合。strigicollis取食F. intonsa。本文研究了黑腹小蜂的成虫前期历期、成虫寿命、净生殖率、内禀增长率和有限增长率。短颈蚤的平均日龄分别为13.6 d、12.5 d、18.8头/只、0.1437 d(-1)、1.1546 d(-1)。捕食量为O. strigicollis在成虫前期和成虫期分别为60.4头和107.3头。净捕食率为101头/只。为了说明不同阶段释放捕食性天敌对种群增长和捕食能力的影响,我们采用种群预测法对捕食潜力进行了评估。strigicollis,并利用有限增长率的第0.025和第0.975次bootstrap拟合的生命表确定了捕食潜力的不确定性。释放O. strigicollis比释放O. strigicollis卵在生物控制中,捕食者和猎物种群都是年龄阶段结构的,(在大多数情况下)两性个体都存在。必须使用年龄阶段,两性生命表来精确地纳入个体之间和性别之间的发育率,阶段分化,存活率和捕食率的变化。我们的研究结果表明,整合生命表和捕食率数据产生的年龄阶段,两性生命表是一个重要的技术,改善生物控制方案,通过细化的时间和估计释放的天敌。此外,通过使用多项式定理,我们证明了一个大的rescue(B = 100,000)是必要的,以获得更精确的估计的总体参数的自助技术的应用。
Erankliniella intonsa (Trybom) (Thysanoptera: Thripidae) is an important pest of numerous horticultural and agricultural crops in Taiwan. Orius strigicollis (Poppius) (Hemiptera: Anthocoridae) is a predator with high predation capacity against many pests of legumes and flowers. We used the age-stage, two-sex life table method to integrate the life table data with the predation rate of O. strigicollis fed on F. intonsa. The preadult duration, adult longevity, net reproductive rate, intrinsic rate of increase, and finite rate of increase for O. strigicollis were 13.6 d, 12.5 d, 18.8 offspring/individual, 0.1437 d(-1), and 1.1546 d(-1), respectively. The total predation of O. strigicollis during their preadult and adult stages was 60.4 and 107.3 thrips, respectively. The net predation rate was 101 prey/individual. To demonstrate the effect of releasing predators of different stages on the population growth and predation capacity, we used population projection to evaluate the predation potential of O. strigicollis, and the uncertainty of predation potential was determined by using the life tables from the 0.025th, and 0.975th, bootstrap percentiles of the finite rate of increase. Releasing third instars or adults of O. strigicollis can effectively control the pest sooner than releasing O. strigicollis eggs. In biological control, both predator and prey populations are age-stage-structured and (in most instances) individuals of both sexes are present. It is imperative that the age-stage, two-sex life table be used to precisely incorporate the variability that occurs in the developmental rate, stage differentiation, survival rates, and predation rates among individuals and between sexes. Our results demonstrate that integrating life table and predation rate data generated by using the age-stage, two-sex life table is an important technique for improving biological control programs by refining the timing and estimating the release of natural enemies. Moreover, by using the multinomial theorem, we demonstrated that a large resampling (B =100,000) is necessary to obtain more precise estimates of population parameters in applications of the bootstrap technique.