Open AccessGenetic Diversity Analysis in Chickpea (Cicer arietinum L) Genotypes Grown in Northwestern Algeria using Microsatellite Markers (SSR)
Author(s) -
Bouri Amina,
Mediouni Mohammed Rida,
Abdelkader Ameur Ameur,
Udupa Sripada,
Gaouar Souheil Bechir Semir
Publication year - 2019
Publication title -
indian journal of agricultural research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.241
H-Index - 8
eISSN - 0976-058X
pISSN - 0367-8245
DOI - 10.18805/ijare.a-487
Subject(s) - dendrogram , microsatellite , genetic diversity , biology , locus (genetics) , allele , genotype , forensic science , veterinary medicine , polymorphism (computer science) , horticulture , genetics , gene , medicine , population , environmental health
The present study aimed to characterize a subset of 10 selected chickpea accessions (Cicer arietinum L.) using SSR. The result indicated a presence of a total of 59 alleles. The genetic diversity at the 15 microsatellites loci was varied from 0, 32 for TA22 to 0.78 for TA72 and TA117 with an average of 0.66. Polymorphic information content (PIC) values ranged from 0.27 to 0.74. This study also detected a high significant (P less than 0.01) positive correlation between alleles per locus, gene diversity (H) and polymorphism information content (PIC). In the dendrogram and on the PCoA bi-plots, chickpea genotypes were adjoined according to their geographic origin, type of chickpea (Kabuli/ Desi). Nevertheless, the distribution of the different grouping through the factorial correspondence analysis (AFC) is due to the genetic variability.
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