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Landscape Vegetation Productivity Influences Population Dynamics of Key Pests in Small Avocado Farms in Kenya
- Source :
- Insects, Vol 11, Iss 424, p 424 (2020), Insects, Volume 11, Issue 7
- Publication Year :
- 2020
- Publisher :
- MDPI AG, 2020.
-
Abstract
- Avocado (Persea americana Mill.) production contributes to the economic growth of East Africa. However, poor fruit quality caused by infestations of tephritid fruit flies (Tephritidae) and the false codling moth, Thaumatotibia leucotreta (Meyrick), hampers access to lucrative export markets. Remote sensing and spatial analysis are increasingly applied to crop pest studies to develop sustainable and cost-effective control strategies. In this study, we assessed pest abundance in Muranga, Kenya, across three vegetation productivity classes, viz., low, medium and high, which were estimated using the normalised difference vegetation index at a landscape scale. Population densities of the oriental fruit fly, Bactrocera dorsalis (Hendel) and T. leucotreta in avocado farms were estimated through specific baited traps and fruit rearing. The population density of T. leucotreta varied across the vegetation productivity classes throughout the study period, although not significantly. Meanwhile, B. dorsalis showed a clear trend of decrease over time and was significantly lower in high vegetation productivity class compared to low and medium classes. Ceratitis cosyra (Walker) was the most abundant pest reared from fruit with few associated parasitoids, Pachycrepoideus vindemmiae (Rondani) and Toxeumorpha nigricola (Ferriere).
- Subjects :
- 0106 biological sciences
Integrated pest management
Persea
010504 meteorology & atmospheric sciences
Population
smallholder
Biology
01 natural sciences
Population density
Bactrocera dorsalis
Article
Tephritidae
education
lcsh:Science
0105 earth and related environmental sciences
education.field_of_study
integrated pest management
Vegetation
biology.organism_classification
010602 entomology
Agronomy
Insect Science
lcsh:Q
False codling moth
ecosystem services
vegetation productivity
Subjects
Details
- Language :
- English
- ISSN :
- 20754450
- Volume :
- 11
- Issue :
- 424
- Database :
- OpenAIRE
- Journal :
- Insects
- Accession number :
- edsair.doi.dedup.....c1f8f72a3564d8eccf3550f70eed8c54