Invasive Species Compendium

Detailed coverage of invasive species threatening livelihoods and the environment worldwide

Datasheet

Trichoderma harzianum
(hyperparasite of Rhizoctonia solani)

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Datasheet

Trichoderma harzianum (hyperparasite of Rhizoctonia solani)

Summary

  • Last modified
  • 22 November 2019
  • Datasheet Type(s)
  • Pest
  • Natural Enemy
  • Preferred Scientific Name
  • Trichoderma harzianum
  • Preferred Common Name
  • hyperparasite of Rhizoctonia solani
  • Taxonomic Tree
  • Domain: Eukaryota
  •   Kingdom: Fungi
  •     Phylum: Ascomycota
  •       Subphylum: Pezizomycotina
  •         Class: Sordariomycetes
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    Compendia
    CAB International
    Wallingford
    Oxfordshire
    OX10 8DE
    UK
    compend@cabi.org
  • Distribution map More information

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Identity

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Preferred Scientific Name

  • Trichoderma harzianum

Preferred Common Name

  • hyperparasite of Rhizoctonia solani

International Common Names

  • English: storage rot of fruit

Local Common Names

  • Germany: Antagonist of Stereum purpureum; Lagerkrankheit: Früchte

EPPO code

  • TRCDHR (Trichoderma harzianum)

Taxonomic Tree

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  • Domain: Eukaryota
  •     Kingdom: Fungi
  •         Phylum: Ascomycota
  •             Subphylum: Pezizomycotina
  •                 Class: Sordariomycetes
  •                     Subclass: Hypocreomycetidae
  •                         Order: Hypocreales
  •                             Family: Hypocreaceae
  •                                 Genus: Trichoderma
  •                                     Species: Trichoderma harzianum

Distribution Table

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The distribution in this summary table is based on all the information available. When several references are cited, they may give conflicting information on the status. Further details may be available for individual references in the Distribution Table Details section which can be selected by going to Generate Report.

Last updated: 10 Jan 2020
Continent/Country/Region Distribution Last Reported Origin First Reported Invasive Reference Notes

Africa

EgyptPresentCABI (Undated)
KenyaPresentCABI Data Mining (Undated)
South AfricaPresentCABI Data Mining (Undated)

Asia

ChinaPresentCABI (Undated)
-FujianPresentCABI (Undated)
-HunanPresentCABI Data Mining (Undated)
-JilinPresentLu et al. (2016)
-ZhejiangPresentCABI (Undated)
IndiaPresentCABI (Undated)
-KeralaPresentCABI (Undated)
-MaharashtraPresentCABI Data Mining (Undated)
-PunjabPresentCABI Data Mining (Undated)
-Tamil NaduPresentCABI (Undated)
-Uttar PradeshPresentCABI (Undated)
IndonesiaPresentCABI (Undated)
IraqPresentCABI Data Mining (Undated)
IsraelPresentCABI Data Mining (Undated)
JapanPresentCABI (Undated)
NepalPresentIPPC (2005)
PakistanPresentCABI (Undated)
PhilippinesPresentCABI Data Mining (Undated)
South KoreaPresentCABI (Undated)
TaiwanPresentCABI Data Mining (Undated)

Europe

BelgiumPresentCABI Data Mining (Undated)
CzechoslovakiaPresentCABI Data Mining (Undated)
Union of Soviet Socialist RepublicsPresentCABI Data Mining (Undated)
FrancePresentCABI Data Mining (Undated)
GreecePresentGreathead (Undated)
HungaryPresentCABI Data Mining (Undated)
ItalyPresentCABI (Undated)
NetherlandsPresentCABI Data Mining (Undated)
NorwayPresentCABI (Undated)
PolandPresentCABI Data Mining (Undated)
RomaniaPresentCABI Data Mining (Undated)
SlovakiaPresentCABI (Undated)
SloveniaPresentCABI (Undated)
SpainPresentCABI (Undated)
United KingdomPresentCABI (Undated)
-Northern IrelandPresentCABI Data Mining (Undated)

North America

CanadaPresentCABI Data Mining (Undated)
-OntarioPresentCABI (Undated)
United StatesPresentCABI Data Mining (Undated)
-IdahoPresentCABI Data Mining (Undated)
-New HampshirePresentCABI Data Mining (Undated)
-New YorkPresentCABI Data Mining (Undated)
-TennesseePresentCABI Data Mining (Undated)
-TexasPresentCABI Data Mining (Undated)
-WashingtonPresentCABI Data Mining (Undated)

Oceania

AustraliaPresentCABI Data Mining (Undated)
-VictoriaPresentCABI (Undated)
-Western AustraliaPresentCABI Data Mining (Undated)

South America

ArgentinaPresentMunitz et al. (2013)
ColombiaPresentCABI (Undated)

Distribution Maps

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