Modelling affected regions by the Iberian Quercus disease with proximity diagrams.
Identifieur interne : 000122 ( Main/Exploration ); précédent : 000121; suivant : 000123Modelling affected regions by the Iberian Quercus disease with proximity diagrams.
Auteurs : Carmen Calvo-Jurado [Espagne]Source :
- Environmental science and pollution research international [ 1614-7499 ] ; 2020.
Abstract
In this work, we propose a mathematical model to determine the potential propagation areas of the Mediterranean Quercus disease commonly referred to as "seca" (Tuser and Sánchez 2004) in specific areas of Extremadura. Although it is a syndrome of complex etiology caused by the action of the different biotic (insects and fungi) and abiotic factors (temperature, orography, soil, etc.), numerous studies suggest that the soil-borne pathogen cinnamomi represents the main responsible for the decay of the holm and cork oak. However, very little is known about the Phytophthora epidemic distribution patterns and its geographical dependence on other factors that favor its spread. With the aim to clarify this question, in this paper, we will use optimal computational geometry algorithms based on proximity diagrams that allow us to design a pathogen transmission map and to determine its correlation with different causing agents, specially with the presence of standing water or drainage lines water.
DOI: 10.1007/s11356-019-06871-8
PubMed: 31939018
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Modelling affected regions by the Iberian Quercus disease with proximity diagrams.</title><author><name sortKey="Calvo Jurado, Carmen" sort="Calvo Jurado, Carmen" uniqKey="Calvo Jurado C" first="Carmen" last="Calvo-Jurado">Carmen Calvo-Jurado</name><affiliation wicri:level="1"><nlm:affiliation>Department of Mathematics, Escuela Politécnica Avda. de la Universidad, s/n, 10003, Cáceres, Spain. ccalvo@unex.es.</nlm:affiliation><country xml:lang="fr">Espagne</country><wicri:regionArea>Department of Mathematics, Escuela Politécnica Avda. de la Universidad, s/n, 10003, Cáceres</wicri:regionArea><wicri:noRegion>Cáceres</wicri:noRegion></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2020">2020</date><idno type="RBID">pubmed:31939018</idno><idno type="pmid">31939018</idno><idno type="doi">10.1007/s11356-019-06871-8</idno><idno type="wicri:Area/Main/Corpus">000299</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Corpus" wicri:corpus="PubMed">000299</idno><idno type="wicri:Area/Main/Curation">000299</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Curation">000299</idno><idno type="wicri:Area/Main/Exploration">000299</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Modelling affected regions by the Iberian Quercus disease with proximity diagrams.</title><author><name sortKey="Calvo Jurado, Carmen" sort="Calvo Jurado, Carmen" uniqKey="Calvo Jurado C" first="Carmen" last="Calvo-Jurado">Carmen Calvo-Jurado</name><affiliation wicri:level="1"><nlm:affiliation>Department of Mathematics, Escuela Politécnica Avda. de la Universidad, s/n, 10003, Cáceres, Spain. ccalvo@unex.es.</nlm:affiliation><country xml:lang="fr">Espagne</country><wicri:regionArea>Department of Mathematics, Escuela Politécnica Avda. de la Universidad, s/n, 10003, Cáceres</wicri:regionArea><wicri:noRegion>Cáceres</wicri:noRegion></affiliation></author></analytic><series><title level="j">Environmental science and pollution research international</title><idno type="eISSN">1614-7499</idno><imprint><date when="2020" type="published">2020</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">In this work, we propose a mathematical model to determine the potential propagation areas of the Mediterranean Quercus disease commonly referred to as "seca" (Tuser and Sánchez 2004) in specific areas of Extremadura. Although it is a syndrome of complex etiology caused by the action of the different biotic (insects and fungi) and abiotic factors (temperature, orography, soil, etc.), numerous studies suggest that the soil-borne pathogen cinnamomi represents the main responsible for the decay of the holm and cork oak. However, very little is known about the Phytophthora epidemic distribution patterns and its geographical dependence on other factors that favor its spread. With the aim to clarify this question, in this paper, we will use optimal computational geometry algorithms based on proximity diagrams that allow us to design a pathogen transmission map and to determine its correlation with different causing agents, specially with the presence of standing water or drainage lines water.</div></front></TEI><pubmed><MedlineCitation Status="Publisher" Owner="NLM"><PMID Version="1">31939018</PMID><DateRevised><Year>2020</Year><Month>01</Month><Day>15</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1614-7499</ISSN><JournalIssue CitedMedium="Internet"><PubDate><Year>2020</Year><Month>Jan</Month><Day>14</Day></PubDate></JournalIssue><Title>Environmental science and pollution research international</Title><ISOAbbreviation>Environ Sci Pollut Res Int</ISOAbbreviation></Journal><ArticleTitle>Modelling affected regions by the Iberian Quercus disease with proximity diagrams.</ArticleTitle><ELocationID EIdType="doi" ValidYN="Y">10.1007/s11356-019-06871-8</ELocationID><Abstract><AbstractText>In this work, we propose a mathematical model to determine the potential propagation areas of the Mediterranean Quercus disease commonly referred to as "seca" (Tuser and Sánchez 2004) in specific areas of Extremadura. Although it is a syndrome of complex etiology caused by the action of the different biotic (insects and fungi) and abiotic factors (temperature, orography, soil, etc.), numerous studies suggest that the soil-borne pathogen cinnamomi represents the main responsible for the decay of the holm and cork oak. However, very little is known about the Phytophthora epidemic distribution patterns and its geographical dependence on other factors that favor its spread. With the aim to clarify this question, in this paper, we will use optimal computational geometry algorithms based on proximity diagrams that allow us to design a pathogen transmission map and to determine its correlation with different causing agents, specially with the presence of standing water or drainage lines water.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Calvo-Jurado</LastName><ForeName>Carmen</ForeName><Initials>C</Initials><Identifier Source="ORCID">http://orcid.org/0000-0001-9842-081X</Identifier><AffiliationInfo><Affiliation>Department of Mathematics, Escuela Politécnica Avda. de la Universidad, s/n, 10003, Cáceres, Spain. ccalvo@unex.es.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><GrantList CompleteYN="Y"><Grant><GrantID>MTM2014-53309-P</GrantID><Agency>Ministerio de Economía y Competitividad</Agency><Country></Country></Grant><Grant><GrantID>Research Group Grants [FQM-022]</GrantID><Agency>Consejería de Educación y Empleo, Junta de Extremadura</Agency><Country></Country></Grant></GrantList><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D016454">Review</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2020</Year><Month>01</Month><Day>14</Day></ArticleDate></Article><MedlineJournalInfo><Country>Germany</Country><MedlineTA>Environ Sci Pollut Res Int</MedlineTA><NlmUniqueID>9441769</NlmUniqueID><ISSNLinking>0944-1344</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">Computational</Keyword><Keyword MajorTopicYN="N">Phytophthora cinnamomi</Keyword><Keyword MajorTopicYN="N">Proximity diagrams</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2019</Year><Month>02</Month><Day>26</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2019</Year><Month>10</Month><Day>23</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2020</Year><Month>1</Month><Day>16</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2020</Year><Month>1</Month><Day>16</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2020</Year><Month>1</Month><Day>16</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>aheadofprint</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">31939018</ArticleId><ArticleId IdType="doi">10.1007/s11356-019-06871-8</ArticleId><ArticleId IdType="pii">10.1007/s11356-019-06871-8</ArticleId></ArticleIdList></PubmedData></pubmed><affiliations><list><country><li>Espagne</li></country></list><tree><country name="Espagne"><noRegion><name sortKey="Calvo Jurado, Carmen" sort="Calvo Jurado, Carmen" uniqKey="Calvo Jurado C" first="Carmen" last="Calvo-Jurado">Carmen Calvo-Jurado</name></noRegion></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Bois/explor/PhytophthoraV1/Data/Main/Exploration
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000122 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd -nk 000122 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Bois
|area= PhytophthoraV1
|flux= Main
|étape= Exploration
|type= RBID
|clé= pubmed:31939018
|texte= Modelling affected regions by the Iberian Quercus disease with proximity diagrams.
}}
Pour générer des pages wiki
HfdIndexSelect -h $EXPLOR_AREA/Data/Main/Exploration/RBID.i -Sk "pubmed:31939018" \
| HfdSelect -Kh $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd \
| NlmPubMed2Wicri -a PhytophthoraV1
| This area was generated with Dilib version V0.6.38. |  |