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Factors Influencing Rust (Melampsora apocyni) Intensity on Cultivated and Wild Apocynum venetum in Altay Prefecture, China.

Identifieur interne : 000020 ( Main/Exploration ); précédent : 000019; suivant : 000021

Factors Influencing Rust (Melampsora apocyni) Intensity on Cultivated and Wild Apocynum venetum in Altay Prefecture, China.

Auteurs : P. Gao [République populaire de Chine] ; Z B Nan [République populaire de Chine] ; M J Christensen [République populaire de Chine] ; M J Barbetti ; T Y Duan [République populaire de Chine] ; Q T Liu [République populaire de Chine] ; F J Meng [République populaire de Chine] ; J F Huang [République populaire de Chine]

Source :

RBID : pubmed:30307801

Descripteurs français

English descriptors

Abstract

Rust (Melampsora apocyni) on Apocynum venetum is the major constraint to the commercial development of this medicinal herb. To determine the factors influencing rust intensity (maximum disease index [DImax]), rust was investigated from 2011 to 2015 in both cultivated and wild A. venetum plants. Partial least squares path modeling (PLS-PM) was used to analyze the paths and extent of the factors related to pathogen, environment, and host that affect rust intensity. DImax exhibited considerable variations across years and study sites, with variations linked to various factors fostering disease development. PLS-PM explained 80.0 and 70.1% of variations in DImax in cultivated and wild plants, respectively. Precipitation was the key factor determining DImax in both cultivated and wild plants (path coefficient [PC] = 0.313 and 0.544, respectively). In addition, the topsoil water content in cultivated plants and the total vegetation coverage in wild plants were also critical determinants of DImax via their effects on the microclimatic factor (contribution coefficients [CC] = 0.681 and 0.989, respectively; PC = 0.831 and 0.231, respectively). In both cultivated and wild plants, host factors were mainly dominated by A. venetum density (CC = 0.989 and 0.894, respectively), and their effect on DImax via the microclimatic factor (PC = 0.841 and 0.862, respectively) exceeded that via the inoculum factor (PC = 0.705 and 0.130, respectively). However, the indirect effects led to DImax variation, while the dilution effect on host (CC = 0.154) from weed in wild plants led to the indirect effect size in wild plants of 0.200, which was lower than -0.699 in cultivated plants.

DOI: 10.1094/PHYTO-04-18-0145-R
PubMed: 30307801


Affiliations:


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Le document en format XML

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<term>Apocynum (growth & development)</term>
<term>Basidiomycota (pathogenicity)</term>
<term>China (MeSH)</term>
<term>Plant Diseases (MeSH)</term>
<term>Rain (microbiology)</term>
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<term>Apocynum (croissance et développement)</term>
<term>Basidiomycota (pathogénicité)</term>
<term>Chine (MeSH)</term>
<term>Maladies des plantes (MeSH)</term>
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<div type="abstract" xml:lang="en">Rust (Melampsora apocyni) on Apocynum venetum is the major constraint to the commercial development of this medicinal herb. To determine the factors influencing rust intensity (maximum disease index [DI
<sub>max</sub>
]), rust was investigated from 2011 to 2015 in both cultivated and wild A. venetum plants. Partial least squares path modeling (PLS-PM) was used to analyze the paths and extent of the factors related to pathogen, environment, and host that affect rust intensity. DI
<sub>max</sub>
exhibited considerable variations across years and study sites, with variations linked to various factors fostering disease development. PLS-PM explained 80.0 and 70.1% of variations in DI
<sub>max</sub>
in cultivated and wild plants, respectively. Precipitation was the key factor determining DI
<sub>max</sub>
in both cultivated and wild plants (path coefficient [PC] = 0.313 and 0.544, respectively). In addition, the topsoil water content in cultivated plants and the total vegetation coverage in wild plants were also critical determinants of DI
<sub>max</sub>
via their effects on the microclimatic factor (contribution coefficients [CC] = 0.681 and 0.989, respectively; PC = 0.831 and 0.231, respectively). In both cultivated and wild plants, host factors were mainly dominated by A. venetum density (CC = 0.989 and 0.894, respectively), and their effect on DI
<sub>max</sub>
via the microclimatic factor (PC = 0.841 and 0.862, respectively) exceeded that via the inoculum factor (PC = 0.705 and 0.130, respectively). However, the indirect effects led to DI
<sub>max</sub>
variation, while the dilution effect on host (CC = 0.154) from weed in wild plants led to the indirect effect size in wild plants of 0.200, which was lower than -0.699 in cultivated plants.</div>
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<AbstractText>Rust (Melampsora apocyni) on Apocynum venetum is the major constraint to the commercial development of this medicinal herb. To determine the factors influencing rust intensity (maximum disease index [DI
<sub>max</sub>
]), rust was investigated from 2011 to 2015 in both cultivated and wild A. venetum plants. Partial least squares path modeling (PLS-PM) was used to analyze the paths and extent of the factors related to pathogen, environment, and host that affect rust intensity. DI
<sub>max</sub>
exhibited considerable variations across years and study sites, with variations linked to various factors fostering disease development. PLS-PM explained 80.0 and 70.1% of variations in DI
<sub>max</sub>
in cultivated and wild plants, respectively. Precipitation was the key factor determining DI
<sub>max</sub>
in both cultivated and wild plants (path coefficient [PC] = 0.313 and 0.544, respectively). In addition, the topsoil water content in cultivated plants and the total vegetation coverage in wild plants were also critical determinants of DI
<sub>max</sub>
via their effects on the microclimatic factor (contribution coefficients [CC] = 0.681 and 0.989, respectively; PC = 0.831 and 0.231, respectively). In both cultivated and wild plants, host factors were mainly dominated by A. venetum density (CC = 0.989 and 0.894, respectively), and their effect on DI
<sub>max</sub>
via the microclimatic factor (PC = 0.841 and 0.862, respectively) exceeded that via the inoculum factor (PC = 0.705 and 0.130, respectively). However, the indirect effects led to DI
<sub>max</sub>
variation, while the dilution effect on host (CC = 0.154) from weed in wild plants led to the indirect effect size in wild plants of 0.200, which was lower than -0.699 in cultivated plants.</AbstractText>
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<LastName>Liu</LastName>
<ForeName>Q T</ForeName>
<Initials>QT</Initials>
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<Affiliation>6 Altay Gaubau Tea Co., Ltd., Altay 836500, P. R. China.</Affiliation>
</AffiliationInfo>
</Author>
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<LastName>Meng</LastName>
<ForeName>F J</ForeName>
<Initials>FJ</Initials>
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<Affiliation>6 Altay Gaubau Tea Co., Ltd., Altay 836500, P. R. China.</Affiliation>
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</Author>
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<LastName>Huang</LastName>
<ForeName>J F</ForeName>
<Initials>JF</Initials>
<AffiliationInfo>
<Affiliation>6 Altay Gaubau Tea Co., Ltd., Altay 836500, P. R. China.</Affiliation>
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<Language>eng</Language>
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<Month>03</Month>
<Day>01</Day>
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<Country>United States</Country>
<MedlineTA>Phytopathology</MedlineTA>
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<DescriptorName UI="D030010" MajorTopicYN="Y">Apocynum</DescriptorName>
<QualifierName UI="Q000254" MajorTopicYN="N">growth & development</QualifierName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D001487" MajorTopicYN="Y">Basidiomycota</DescriptorName>
<QualifierName UI="Q000472" MajorTopicYN="N">pathogenicity</QualifierName>
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<DescriptorName UI="D002681" MajorTopicYN="N" Type="Geographic">China</DescriptorName>
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<DescriptorName UI="D010935" MajorTopicYN="N">Plant Diseases</DescriptorName>
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<MeshHeading>
<DescriptorName UI="D011891" MajorTopicYN="Y">Rain</DescriptorName>
<QualifierName UI="Q000382" MajorTopicYN="N">microbiology</QualifierName>
</MeshHeading>
</MeshHeadingList>
<KeywordList Owner="NOTNLM">
<Keyword MajorTopicYN="N"></Keyword>
<Keyword MajorTopicYN="N">cultivated crop</Keyword>
<Keyword MajorTopicYN="N">disease index</Keyword>
<Keyword MajorTopicYN="N">path modeling</Keyword>
<Keyword MajorTopicYN="N">wild plant</Keyword>
</KeywordList>
</MedlineCitation>
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<Year>2018</Year>
<Month>10</Month>
<Day>12</Day>
<Hour>6</Hour>
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<PubMedPubDate PubStatus="medline">
<Year>2019</Year>
<Month>8</Month>
<Day>23</Day>
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<Year>2018</Year>
<Month>10</Month>
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<PublicationStatus>ppublish</PublicationStatus>
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<ArticleId IdType="pubmed">30307801</ArticleId>
<ArticleId IdType="doi">10.1094/PHYTO-04-18-0145-R</ArticleId>
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<affiliations>
<list>
<country>
<li>République populaire de Chine</li>
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<tree>
<noCountry>
<name sortKey="Barbetti, M J" sort="Barbetti, M J" uniqKey="Barbetti M" first="M J" last="Barbetti">M J Barbetti</name>
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<country name="République populaire de Chine">
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<name sortKey="Gao, P" sort="Gao, P" uniqKey="Gao P" first="P" last="Gao">P. Gao</name>
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<name sortKey="Christensen, M J" sort="Christensen, M J" uniqKey="Christensen M" first="M J" last="Christensen">M J Christensen</name>
<name sortKey="Duan, T Y" sort="Duan, T Y" uniqKey="Duan T" first="T Y" last="Duan">T Y Duan</name>
<name sortKey="Gao, P" sort="Gao, P" uniqKey="Gao P" first="P" last="Gao">P. Gao</name>
<name sortKey="Huang, J F" sort="Huang, J F" uniqKey="Huang J" first="J F" last="Huang">J F Huang</name>
<name sortKey="Liu, Q T" sort="Liu, Q T" uniqKey="Liu Q" first="Q T" last="Liu">Q T Liu</name>
<name sortKey="Meng, F J" sort="Meng, F J" uniqKey="Meng F" first="F J" last="Meng">F J Meng</name>
<name sortKey="Nan, Z B" sort="Nan, Z B" uniqKey="Nan Z" first="Z B" last="Nan">Z B Nan</name>
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