Leveraging machine learning tools and algorithms for analysis of fruit fly morphometrics
Publication Type
Journal Article
Journal Name
Entomologia Experimentalis et Applicata
Publication Date
3-1-2017
Abstract
Interactions within and between species sharing the same resources are characterised by competition or facilitation, and can be influenced by factors such as larval numbers and phenotypic plasticity of the interactions. The effect of larval density on the survival and relative growth rate of the stemborers Busseola fusca (Fuller) and Sesamia calamistis Hampson (both Lepidoptera: Noctuidae), and Chilo partellus (Swinhoe) (Lepidoptera: Crambidae) were studied, as well as the temporal plasticity of their competitive interactions. These stemborers attack maize crops (Zea mays L.) (Poaceae) in sub-Saharan Africa. Experiments were conducted in the laboratory under controlled conditions at the optimum development temperature (25 °C) for the three species. Surrogate stems filled with artificial diet were intra- and interspecifically infested with larvae of each species. The effect of larval density on competition was studied at low (six larvae) and high (12 larvae) levels of infestation, whereas the temporal plasticity of competition was evaluated at 7, 14, 21, or 28 days after infestation. The two experiments involved single- and multi-species infestation treatments. Larval numbers and wet mass in each artificial stem were recorded in each experiment. Survival and relative growth rate of the three species were significantly higher at low-infestation levels when facing either intra- or interspecific competition. The intensity of competition was also temporally plastic among the species and increased as the duration of competition increased. These results are discussed in terms of general infestations of cereal crops by borers.
Keywords
Busseola fusca, Chilo partellus, Crambidae, ecological factors, Lepidoptera, life-history traits, maize, Noctuidae, population dynamics, Sesamia calamistis, species interactions, stemborer
Recommended Citation
Ntiri, E., Calatayud, P., Van den Berg, J., & Le Ru, B. (2017). Leveraging machine learning tools and algorithms for analysis of fruit fly morphometrics. Entomologia Experimentalis et Applicata, 162 (3), 272-283. https://doi.org/10.1111/eea.12514