Improving Estimates of Fried’s Index from Mating Competitiveness Experiments
Dan Pagendam (),
Nigel Snoad,
Wen-Hsi Yang,
Michal Segoli,
Scott Ritchie,
Brendan Trewin and
Nigel Beebe
Additional contact information
Dan Pagendam: CSIRO Data61, EcoSciences Precinct
Nigel Snoad: Verily Life Sciences
Wen-Hsi Yang: University of Queensland
Michal Segoli: Ben-Gurion University of the Negev
Scott Ritchie: James Cook University
Brendan Trewin: CSIRO Health and Biosecurity, EcoSciences Precinct
Nigel Beebe: CSIRO Health and Biosecurity, EcoSciences Precinct
Journal of Agricultural, Biological and Environmental Statistics, 2018, vol. 23, issue 4, No 2, 446-462
Abstract:
Abstract 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.
Keywords: SIT; IIT; Competition; Aedes; Aegypti; Bayesian (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s13253-018-0333-x Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:jagbes:v:23:y:2018:i:4:d:10.1007_s13253-018-0333-x
Ordering information: This journal article can be ordered from
http://www.springer.com/journal/13253
DOI: 10.1007/s13253-018-0333-x
Access Statistics for this article
Journal of Agricultural, Biological and Environmental Statistics is currently edited by Stephen Buckland
More articles in Journal of Agricultural, Biological and Environmental Statistics from Springer, The International Biometric Society, American Statistical Association
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().