MODELING THE ENDOPHYTIC FUNGUS EPICOCCUM NIGRUM ACTION TO FIGHT THE “OLIVE KNOT” DISEASE CAUSED BY PSEUDOMONAS SAVASTANOI PV. SAVASTANOI (PSV) BACTERIA IN OLEA EUROPAEA L. TREES.

Cecilia Berardo, Iulia Martina Bulai, Ezio Venturino, Paula Baptista, Teresa Gomez

Forskningsoutput: Kapitel i bok/rapport/konferenshandlingKapitelVetenskapligPeer review

Sammanfattning

In this paper a four populations nonlinear mathematical model is introduced toanalyze the interactions between two different microorganisms and the olive treeon which they reside. One such microorganism infects and ultimately kills thebranches while the other one has a beneficial effect on the plant. We aim at devis-ing a control strategy of the action of the pathogenic microorganism on the plant.To this end, the equilibrium points of the ecosystem are investigated. Feasibilityand stability conditions of the equilibria are derived analytically. The numericalsimulations show that the infection transmission rate and the disease-related mor-tality can deeply affect the spread of the disease. Some conditions for the diseaseeradication are investigated and suggestions are given for the implementation ofsuitable biological controls, such as pruning of the infected leaves.
Originalspråkengelska
Titel på gästpublikationTrends in Biomathematics: Modeling, Optimization and Computational Problems : Selected works from the BIOMAT Consortium Lectures, Moscow 2017
RedaktörerRubem P. Mondaini
VolymVII
UtgivningsortSwitzerland
FörlagSpringer International Publishing AG
Utgivningsdatum2018
Utgåva1
Sidor189-207
ISBN (tryckt)978-3-319-91091-8
ISBN (elektroniskt)978-3-319-91092-5
DOI
StatusPublicerad - 2018
Externt publiceradJa
MoE-publikationstypA3 Del av bok eller annan forskningsbok

Vetenskapsgrenar

  • 111 Matematik
  • 1183 Växtbiologi, mikrobiologi, virologi

Citera det här

Berardo, C., Bulai, I. M., Venturino, E., Baptista, P., & Gomez, T. (2018). MODELING THE ENDOPHYTIC FUNGUS EPICOCCUM NIGRUM ACTION TO FIGHT THE “OLIVE KNOT” DISEASE CAUSED BY PSEUDOMONAS SAVASTANOI PV. SAVASTANOI (PSV) BACTERIA IN OLEA EUROPAEA L. TREES. I R. P. Mondaini (Red.), Trends in Biomathematics: Modeling, Optimization and Computational Problems: Selected works from the BIOMAT Consortium Lectures, Moscow 2017 (1 red., Vol. VII, s. 189-207). Switzerland: Springer International Publishing AG. https://doi.org/10.1007/978-3-319-91092-5
Berardo, Cecilia ; Bulai, Iulia Martina ; Venturino, Ezio ; Baptista, Paula ; Gomez, Teresa. / MODELING THE ENDOPHYTIC FUNGUS EPICOCCUM NIGRUM ACTION TO FIGHT THE “OLIVE KNOT” DISEASE CAUSED BY PSEUDOMONAS SAVASTANOI PV. SAVASTANOI (PSV) BACTERIA IN OLEA EUROPAEA L. TREES. Trends in Biomathematics: Modeling, Optimization and Computational Problems: Selected works from the BIOMAT Consortium Lectures, Moscow 2017. redaktör / Rubem P. Mondaini. Vol. VII 1. red. Switzerland : Springer International Publishing AG, 2018. s. 189-207
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title = "MODELING THE ENDOPHYTIC FUNGUS EPICOCCUM NIGRUM ACTION TO FIGHT THE “OLIVE KNOT” DISEASE CAUSED BY PSEUDOMONAS SAVASTANOI PV. SAVASTANOI (PSV) BACTERIA IN OLEA EUROPAEA L. TREES.",
abstract = "In this paper a four populations nonlinear mathematical model is introduced toanalyze the interactions between two different microorganisms and the olive treeon which they reside. One such microorganism infects and ultimately kills thebranches while the other one has a beneficial effect on the plant. We aim at devis-ing a control strategy of the action of the pathogenic microorganism on the plant.To this end, the equilibrium points of the ecosystem are investigated. Feasibilityand stability conditions of the equilibria are derived analytically. The numericalsimulations show that the infection transmission rate and the disease-related mor-tality can deeply affect the spread of the disease. Some conditions for the diseaseeradication are investigated and suggestions are given for the implementation ofsuitable biological controls, such as pruning of the infected leaves.",
keywords = "111 Mathematics, Mathematical and computational biology, 1183 Plant biology, microbiology, virology",
author = "Cecilia Berardo and Bulai, {Iulia Martina} and Ezio Venturino and Paula Baptista and Teresa Gomez",
year = "2018",
doi = "10.1007/978-3-319-91092-5",
language = "English",
isbn = "978-3-319-91091-8",
volume = "VII",
pages = "189--207",
editor = "Mondaini, {Rubem P.}",
booktitle = "Trends in Biomathematics: Modeling, Optimization and Computational Problems",
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Berardo, C, Bulai, IM, Venturino, E, Baptista, P & Gomez, T 2018, MODELING THE ENDOPHYTIC FUNGUS EPICOCCUM NIGRUM ACTION TO FIGHT THE “OLIVE KNOT” DISEASE CAUSED BY PSEUDOMONAS SAVASTANOI PV. SAVASTANOI (PSV) BACTERIA IN OLEA EUROPAEA L. TREES. i RP Mondaini (red.), Trends in Biomathematics: Modeling, Optimization and Computational Problems: Selected works from the BIOMAT Consortium Lectures, Moscow 2017. 1 uppl, vol. VII, Springer International Publishing AG, Switzerland, s. 189-207. https://doi.org/10.1007/978-3-319-91092-5

MODELING THE ENDOPHYTIC FUNGUS EPICOCCUM NIGRUM ACTION TO FIGHT THE “OLIVE KNOT” DISEASE CAUSED BY PSEUDOMONAS SAVASTANOI PV. SAVASTANOI (PSV) BACTERIA IN OLEA EUROPAEA L. TREES. / Berardo, Cecilia; Bulai, Iulia Martina; Venturino, Ezio; Baptista, Paula; Gomez, Teresa.

Trends in Biomathematics: Modeling, Optimization and Computational Problems: Selected works from the BIOMAT Consortium Lectures, Moscow 2017. red. / Rubem P. Mondaini. Vol. VII 1. red. Switzerland : Springer International Publishing AG, 2018. s. 189-207.

Forskningsoutput: Kapitel i bok/rapport/konferenshandlingKapitelVetenskapligPeer review

TY - CHAP

T1 - MODELING THE ENDOPHYTIC FUNGUS EPICOCCUM NIGRUM ACTION TO FIGHT THE “OLIVE KNOT” DISEASE CAUSED BY PSEUDOMONAS SAVASTANOI PV. SAVASTANOI (PSV) BACTERIA IN OLEA EUROPAEA L. TREES.

AU - Berardo, Cecilia

AU - Bulai, Iulia Martina

AU - Venturino, Ezio

AU - Baptista, Paula

AU - Gomez, Teresa

PY - 2018

Y1 - 2018

N2 - In this paper a four populations nonlinear mathematical model is introduced toanalyze the interactions between two different microorganisms and the olive treeon which they reside. One such microorganism infects and ultimately kills thebranches while the other one has a beneficial effect on the plant. We aim at devis-ing a control strategy of the action of the pathogenic microorganism on the plant.To this end, the equilibrium points of the ecosystem are investigated. Feasibilityand stability conditions of the equilibria are derived analytically. The numericalsimulations show that the infection transmission rate and the disease-related mor-tality can deeply affect the spread of the disease. Some conditions for the diseaseeradication are investigated and suggestions are given for the implementation ofsuitable biological controls, such as pruning of the infected leaves.

AB - In this paper a four populations nonlinear mathematical model is introduced toanalyze the interactions between two different microorganisms and the olive treeon which they reside. One such microorganism infects and ultimately kills thebranches while the other one has a beneficial effect on the plant. We aim at devis-ing a control strategy of the action of the pathogenic microorganism on the plant.To this end, the equilibrium points of the ecosystem are investigated. Feasibilityand stability conditions of the equilibria are derived analytically. The numericalsimulations show that the infection transmission rate and the disease-related mor-tality can deeply affect the spread of the disease. Some conditions for the diseaseeradication are investigated and suggestions are given for the implementation ofsuitable biological controls, such as pruning of the infected leaves.

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KW - Mathematical and computational biology

KW - 1183 Plant biology, microbiology, virology

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SN - 978-3-319-91091-8

VL - VII

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EP - 207

BT - Trends in Biomathematics: Modeling, Optimization and Computational Problems

A2 - Mondaini, Rubem P.

PB - Springer International Publishing AG

CY - Switzerland

ER -

Berardo C, Bulai IM, Venturino E, Baptista P, Gomez T. MODELING THE ENDOPHYTIC FUNGUS EPICOCCUM NIGRUM ACTION TO FIGHT THE “OLIVE KNOT” DISEASE CAUSED BY PSEUDOMONAS SAVASTANOI PV. SAVASTANOI (PSV) BACTERIA IN OLEA EUROPAEA L. TREES. I Mondaini RP, redaktör, Trends in Biomathematics: Modeling, Optimization and Computational Problems: Selected works from the BIOMAT Consortium Lectures, Moscow 2017. 1 red. Vol. VII. Switzerland: Springer International Publishing AG. 2018. s. 189-207 https://doi.org/10.1007/978-3-319-91092-5