Mathematical probit and logistic mortality models of the Khapra beetle fumigated with plant essential oils

In the current study, probit and logistic models were employed to fit experimental mortality data of the Khapra beetle, Trogoderma granarium (Everts) (Coleoptera: Dermestidae), when fumigated with three plant oils of the gens Achillea. A generalized inverse matrix technique was used to estimate the...

Full description

Saved in:
Bibliographic Details
Main Authors: Alhadi E. Alamir, Gomah E. Nenaah, Mohamed A. Hafiz
Format: Article
Language:English
Published: AIMS Press 2015-03-01
Series:Mathematical Biosciences and Engineering
Subjects:
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2015.12.687
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1832590144056590336
author Alhadi E. Alamir
Gomah E. Nenaah
Mohamed A. Hafiz
author_facet Alhadi E. Alamir
Gomah E. Nenaah
Mohamed A. Hafiz
author_sort Alhadi E. Alamir
collection DOAJ
description In the current study, probit and logistic models were employed to fit experimental mortality data of the Khapra beetle, Trogoderma granarium (Everts) (Coleoptera: Dermestidae), when fumigated with three plant oils of the gens Achillea. A generalized inverse matrix technique was used to estimate the mortality model parameters instead of the usual statistical iterative maximum likelihood estimation. As this technique needs to perturb the observed mortality proportions if the proportions include 0 or 1, the optimal perturbation in terms of minimum least squares ($L_2$) error was also determined. According to our results, it was better to log-transform concentration and time as explanatory variables in modeling mortality of the test insect. Estimated data using the probit model were more accurate in terms of $L_2$ errors, than the logistic one. Results of the predicted mortality revealed also that extending the fumigation period could be an effective control strategy, even, at lower concentrations. Results could help in using a relatively safe and effective strategy for the control of this serious pest using alternative control strategy to reduce the health and environmental drawbacks resulted from the excessive reliance on the broadly toxic chemical pesticides and in order to contribute safeguard world-wide grain supplies.
format Article
id doaj-art-ba5dcc036857489aae795660a8c4cd2d
institution Kabale University
issn 1551-0018
language English
publishDate 2015-03-01
publisher AIMS Press
record_format Article
series Mathematical Biosciences and Engineering
spelling doaj-art-ba5dcc036857489aae795660a8c4cd2d2025-01-24T02:32:12ZengAIMS PressMathematical Biosciences and Engineering1551-00182015-03-0112468769710.3934/mbe.2015.12.687Mathematical probit and logistic mortality models of the Khapra beetle fumigated with plant essential oilsAlhadi E. Alamir0Gomah E. Nenaah1Mohamed A. Hafiz2Department of Mathematics, Najran University, Najran,1988Zoology Department, Faculty of Science, Kafrelsheikh University, Kafr El sheikh3516Zoology Department, Faculty of Science, Kafrelsheikh University, Kafr El sheikh3516In the current study, probit and logistic models were employed to fit experimental mortality data of the Khapra beetle, Trogoderma granarium (Everts) (Coleoptera: Dermestidae), when fumigated with three plant oils of the gens Achillea. A generalized inverse matrix technique was used to estimate the mortality model parameters instead of the usual statistical iterative maximum likelihood estimation. As this technique needs to perturb the observed mortality proportions if the proportions include 0 or 1, the optimal perturbation in terms of minimum least squares ($L_2$) error was also determined. According to our results, it was better to log-transform concentration and time as explanatory variables in modeling mortality of the test insect. Estimated data using the probit model were more accurate in terms of $L_2$ errors, than the logistic one. Results of the predicted mortality revealed also that extending the fumigation period could be an effective control strategy, even, at lower concentrations. Results could help in using a relatively safe and effective strategy for the control of this serious pest using alternative control strategy to reduce the health and environmental drawbacks resulted from the excessive reliance on the broadly toxic chemical pesticides and in order to contribute safeguard world-wide grain supplies.https://www.aimspress.com/article/doi/10.3934/mbe.2015.12.687probit modelmortality.plant oilskhapra beetlelogistic model
spellingShingle Alhadi E. Alamir
Gomah E. Nenaah
Mohamed A. Hafiz
Mathematical probit and logistic mortality models of the Khapra beetle fumigated with plant essential oils
Mathematical Biosciences and Engineering
probit model
mortality.
plant oils
khapra beetle
logistic model
title Mathematical probit and logistic mortality models of the Khapra beetle fumigated with plant essential oils
title_full Mathematical probit and logistic mortality models of the Khapra beetle fumigated with plant essential oils
title_fullStr Mathematical probit and logistic mortality models of the Khapra beetle fumigated with plant essential oils
title_full_unstemmed Mathematical probit and logistic mortality models of the Khapra beetle fumigated with plant essential oils
title_short Mathematical probit and logistic mortality models of the Khapra beetle fumigated with plant essential oils
title_sort mathematical probit and logistic mortality models of the khapra beetle fumigated with plant essential oils
topic probit model
mortality.
plant oils
khapra beetle
logistic model
url https://www.aimspress.com/article/doi/10.3934/mbe.2015.12.687
work_keys_str_mv AT alhadiealamir mathematicalprobitandlogisticmortalitymodelsofthekhaprabeetlefumigatedwithplantessentialoils
AT gomahenenaah mathematicalprobitandlogisticmortalitymodelsofthekhaprabeetlefumigatedwithplantessentialoils
AT mohamedahafiz mathematicalprobitandlogisticmortalitymodelsofthekhaprabeetlefumigatedwithplantessentialoils