Cross-correlation analysis of invasive mango mealybug and its associated natural enemies in relation to meteorological factors : implications for biological control

Show simple item record Tanga, Mbi Chrysantus Mohamed, Samira Abuelgasim Prem, Govender Salifu, Daisy Ekesi, Sunday 2019-01-16T11:13:07Z 2019
dc.description.abstract Damage caused by invasive downey snow line mealybug, Rastrococcus iceryoides Green (Hemiptera: Pseudococcidae) has been reported to vary between 30% to complete crop loss where no control measure is applied. The current studies seek to determine factors influencing R. iceryoides population outbreaks, parasitoid – host and predator–prey relationships as well as predict optimal management strategies through weather modelling over a period of 28 months from 2008 to 2010 in Tanzania. The highest incidence of R. iceryoides was recorded during the dry season coinciding with the major mango fruiting season. The relationship between R. iceryoides and the parasitoid was positive but not significant, which implies the influence on outbreaks was negligible probably due to low percent parasitism (<12%). However, the predator abundance was directly and significantly related to that of R. iceryoides. Average temperature, average relative humidity, rainfall, and R. iceryoides abundance were autocorrelated to each other. Cross-correlation coefficients vary significantly from −0.286 to 0.589 for the pair-variable between R. iceryoides, temperature, relative humidity, rainfall, parasitism and predators. Our findings showed that temperature was the key climatic variable that significantly influenced R. iceryoides outbreaks while rainfall was significantly negatively associated with the pest. Time series analyses show R. iceryoides population increased 4 months after an increase in average temperature in all the sites, 11 months after rainfall and 11 months after relative humidity in Kibaha and Dar es Salaam, respectively. Our findings revealed that R. iceryoides is an excellent target for classical biological control. Thus, the importation of promising co-evolved parasitoid specific to R. iceryoides from the aboriginal home is crucial in formulating an efficient and sustainable management approaches against the invasive mealybug pest in mango agro-ecosystems. en_ZA
dc.description.department Zoology and Entomology en_ZA
dc.description.embargo 2019-12-27
dc.description.librarian hj2019 en_ZA
dc.description.sponsorship International Atomic Energy Agency (IAEA); Swedish International Development Cooperation Agency (Sida); the Swiss Agency for Develop-ment and Cooperation (SDC); UK Aid from the UK Government; Federal Ministry for Economic Cooperation and Development (BMZ), Germany and the Kenyan Governments. en_ZA
dc.description.uri en_ZA
dc.identifier.citation Chrysantus Mbi Tanga, Samira Abuelgasim Mohamed, Govender Prem, DaisySalifu & Sunday Ekesi (2019) Cross-correlation analysis of invasive mango mealybug and itsassociated natural enemies in relation to meteorological factors: implications for biological control,Biocontrol Science and Technology, 29:4, 325-349, DOI: 10.1080/09583157.2018.1562037. en_ZA
dc.identifier.issn 0958-3157 (print)
dc.identifier.issn 1360-0478 (online)
dc.identifier.other 10.1080/09583157.2018.1562037
dc.language.iso en en_ZA
dc.publisher Taylor and Francis en_ZA
dc.rights © 2018 Informa UK Limited, trading as Taylor & Francis Group. This is an electronic version of an article published in Biocontrol Science and Technology, vol. 29, no. 4, pp. 325-349, 2019. doi : 10.1080/09583157.2018.1562037. Biocontrol Science and Technology is available online at : http://www.tandfonline.comloi/cbst20. en_ZA
dc.subject Insect–environment relationships en_ZA
dc.subject Mango mealybug pest en_ZA
dc.subject Pest management strategies en_ZA
dc.subject Rastrococcus iceryoides Green en_ZA
dc.subject Time series analysis en_ZA
dc.title Cross-correlation analysis of invasive mango mealybug and its associated natural enemies in relation to meteorological factors : implications for biological control en_ZA
dc.type Plan or blueprint en_ZA

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