Improving estimates of Fried's Index from mating competitiveness experiments

Pagendam, Dan, Snoad, Nigel, Yang, Wen-Hsi, Segoli, Michal, Ritchie, Scott, Trewin, Brendan, and Beebe, Nigel (2018) Improving estimates of Fried's Index from mating competitiveness experiments. Journal of Agricultural, Biological, and Environmental Statistics, 23 (4). pp. 446-462.

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Sterile insect technique (SIT) and incompatible insect technique (IIT) are current methods for biological control of insect populations. Critical to the successful implementation of these biocontrol programs is quantifying the competitiveness of sterile/incompatible male insects for female mates relative to wildtype males. Traditionally, entomologists measure this mating competitiveness through a quantity known as Fried's Index. We establish that Fried's Index is mathematically equivalent to the mating competitiveness coefficient that features in many population models used in SIT/IIT programs. Using this insight, we propose a new approach for estimating Fried's Index from mating competitiveness experiments. We show that this approach offers greater precision and accuracy than the traditional approach that is currently used in many studies. This is demonstrated using both simulation experiments and by analysing real experimental data. To facilitate uptake of the proposed method, we also provide an R package that can be used to easily analyse data from mating competitiveness experiments.

Item ID: 56266
Item Type: Article (Research - C1)
ISSN: 1537-2693
Keywords: SIT, IIT, Competition, Aedes, Aegypti, Bayesian
Copyright Information: This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (, which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Date Deposited: 28 Nov 2018 07:55
FoR Codes: 31 BIOLOGICAL SCIENCES > 3109 Zoology > 310913 Invertebrate biology @ 100%
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