Modelling the Control of the Impact of Fall Armyworm (Spodoptera frugiperda) Infestations on Maize Production

In this paper, we propose and analyze a stage-structured mathematical model for modelling the control of the impact of Fall Armyworm infestations on maize production. Preliminary analysis of the model in the vegetative and reproductive stages revealed that the two systems had a unique and positively...

Full description

Saved in:
Bibliographic Details
Main Authors: Salamida Daudi, Livingstone Luboobi, Moatlhodi Kgosimore, Dmitry Kuznetsov
Format: Article
Language:English
Published: Wiley 2021-01-01
Series:International Journal of Differential Equations
Online Access:http://dx.doi.org/10.1155/2021/8838089
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1832565983935463424
author Salamida Daudi
Livingstone Luboobi
Moatlhodi Kgosimore
Dmitry Kuznetsov
author_facet Salamida Daudi
Livingstone Luboobi
Moatlhodi Kgosimore
Dmitry Kuznetsov
author_sort Salamida Daudi
collection DOAJ
description In this paper, we propose and analyze a stage-structured mathematical model for modelling the control of the impact of Fall Armyworm infestations on maize production. Preliminary analysis of the model in the vegetative and reproductive stages revealed that the two systems had a unique and positively bounded solution for all time t≥0. Numerical analysis of the model in both stages under two different cases was also considered: Case 1: different number of the adult moths in the field assumed at t=0 and Case 2: the existence of exogenous factors that lead to the immigration of adult moths in the field at time t>0. The results indicate that the destruction of maize biomass which is accompanied by a decrease in maize plants to an average of 160 and 142 in the vegetative and reproductive stages, respectively, was observed to be higher in Case 2 than in Case 1 due to subsequent increase in egg production and density of the caterpillars in first few (10) days after immigration. This severe effect on maize plants caused by the unprecedented number of the pests influenced the extension of the model in both stages to include controls such as pesticides and harvesting. The results further show that the pest was significantly suppressed, resulting in an increase in maize plants to an average of 467 and 443 in vegetative and reproductive stages, respectively.
format Article
id doaj-art-3381f18340c145cf9ccd7ba8c97b450d
institution Kabale University
issn 1687-9643
1687-9651
language English
publishDate 2021-01-01
publisher Wiley
record_format Article
series International Journal of Differential Equations
spelling doaj-art-3381f18340c145cf9ccd7ba8c97b450d2025-02-03T01:05:20ZengWileyInternational Journal of Differential Equations1687-96431687-96512021-01-01202110.1155/2021/88380898838089Modelling the Control of the Impact of Fall Armyworm (Spodoptera frugiperda) Infestations on Maize ProductionSalamida Daudi0Livingstone Luboobi1Moatlhodi Kgosimore2Dmitry Kuznetsov3School of Computational and Communication Science and Engineering, The Nelson Mandela African Institution of Science and Technology (NM-AIST), P.O. Box 447, Arusha, TanzaniaInstitute of Mathematical Science, Strathmore University, Nairobi, KenyaDepartment of Biometry and Mathematics, Botswana University of Agriculture and Natural Resources, Private Bag 0027, Gaborone, BotswanaSchool of Computational and Communication Science and Engineering, The Nelson Mandela African Institution of Science and Technology (NM-AIST), P.O. Box 447, Arusha, TanzaniaIn this paper, we propose and analyze a stage-structured mathematical model for modelling the control of the impact of Fall Armyworm infestations on maize production. Preliminary analysis of the model in the vegetative and reproductive stages revealed that the two systems had a unique and positively bounded solution for all time t≥0. Numerical analysis of the model in both stages under two different cases was also considered: Case 1: different number of the adult moths in the field assumed at t=0 and Case 2: the existence of exogenous factors that lead to the immigration of adult moths in the field at time t>0. The results indicate that the destruction of maize biomass which is accompanied by a decrease in maize plants to an average of 160 and 142 in the vegetative and reproductive stages, respectively, was observed to be higher in Case 2 than in Case 1 due to subsequent increase in egg production and density of the caterpillars in first few (10) days after immigration. This severe effect on maize plants caused by the unprecedented number of the pests influenced the extension of the model in both stages to include controls such as pesticides and harvesting. The results further show that the pest was significantly suppressed, resulting in an increase in maize plants to an average of 467 and 443 in vegetative and reproductive stages, respectively.http://dx.doi.org/10.1155/2021/8838089
spellingShingle Salamida Daudi
Livingstone Luboobi
Moatlhodi Kgosimore
Dmitry Kuznetsov
Modelling the Control of the Impact of Fall Armyworm (Spodoptera frugiperda) Infestations on Maize Production
International Journal of Differential Equations
title Modelling the Control of the Impact of Fall Armyworm (Spodoptera frugiperda) Infestations on Maize Production
title_full Modelling the Control of the Impact of Fall Armyworm (Spodoptera frugiperda) Infestations on Maize Production
title_fullStr Modelling the Control of the Impact of Fall Armyworm (Spodoptera frugiperda) Infestations on Maize Production
title_full_unstemmed Modelling the Control of the Impact of Fall Armyworm (Spodoptera frugiperda) Infestations on Maize Production
title_short Modelling the Control of the Impact of Fall Armyworm (Spodoptera frugiperda) Infestations on Maize Production
title_sort modelling the control of the impact of fall armyworm spodoptera frugiperda infestations on maize production
url http://dx.doi.org/10.1155/2021/8838089
work_keys_str_mv AT salamidadaudi modellingthecontroloftheimpactoffallarmywormspodopterafrugiperdainfestationsonmaizeproduction
AT livingstoneluboobi modellingthecontroloftheimpactoffallarmywormspodopterafrugiperdainfestationsonmaizeproduction
AT moatlhodikgosimore modellingthecontroloftheimpactoffallarmywormspodopterafrugiperdainfestationsonmaizeproduction
AT dmitrykuznetsov modellingthecontroloftheimpactoffallarmywormspodopterafrugiperdainfestationsonmaizeproduction