Indexé dans
  • Base de données des revues académiques
  • Genamics JournalSeek
  • Clés académiques
  • JournalTOCs
  • Infrastructure nationale des connaissances en Chine (CNKI)
  • Scimago
  • Accès à la recherche mondiale en ligne sur l'agriculture (AGORA)
  • Bibliothèque des revues électroniques
  • RechercheRef
  • Répertoire d'indexation des revues de recherche (DRJI)
  • Université Hamdard
  • EBSCO AZ
  • OCLC - WorldCat
  • Catalogue en ligne SWB
  • Bibliothèque virtuelle de biologie (vifabio)
  • Publions
  • MIAR
  • Commission des bourses universitaires
  • Fondation genevoise pour la formation et la recherche médicales
  • Pub européen
  • Google Scholar
Partager cette page
Dépliant de journal
Flyer image

Abstrait

Genetic Determination of Potential Trichoderma Species Using ISSR (Microsatellite) Marker in Uttar Pradesh, India

Mohammad Shahid, Mukesh Srivastava, Vipul Kumar, Anuradha Singh and Sonika Pandey

Seven Trichoderma sp. were collected from different locations of Uttar Pradesh, India for evaluating their bioefficiency by determining their genetic variations. PCR-based Inter Simple Sequence Regions (ISSR) Marker employing 6 primers produced 30 scorable bands out of which 27 bands were polymorphic. The Unweighted Pair Group Method of Arithmetic Means (UPGMA) dendrogram constructed from Nei’s [14] genetic distance produced 2 main clusters (1 isolates in cluster 1 and 6 isolates in cluster 2). The result indicating their genetic diversity has opened new possibility of using the most efficient and more isolates of Trichoderma in the preparation of effective biopesticide.