Articles
COMPARISON OF PHENOTYPIC AND MOLECULAR ASSESSMENT OF GENETIC DIVERSITY IN GUAVA
Article number
1100_16
Pages
115 – 120
Language
English
Abstract
Phenotypic characterization and molecular evaluation were compared in their
differentiating influence and quantity of information to assess the genetic diversity in
guava.
Forty nine genotypes were analyzed phenotypically using eleven quantitative
traits; out of them ten were selected for the comparison.
Analysis of variance showed
highly significant differences amongst guava genotypes in all traits except total sugar
content.
On the other hand, the sequence related amplified polymorphism (SRAP) was
used for the molecular analysis.
A total of 88 SRAP amplicons were generated by five
primer combinations, of which 58 bands (65.9%) were polymorphic.
Both cluster
analysis of unweighted pair-grouping method with arithmetic averages (UPGMA) and
principal coordinate (PCO) analysis based on phenotypic data and SRAP clearly
separated the genotypes according to their relationships.
However, the clustering
arrangement was different depending on the data used for the analysis.
In addition, the
percentage of polymorphism amongst the tested genotypes varied between the two
marker systems.
SRAP marker was able to generate some unique specific bands for
certain genotypes which could be helpful for further use in guava genetic enhancement.
differentiating influence and quantity of information to assess the genetic diversity in
guava.
Forty nine genotypes were analyzed phenotypically using eleven quantitative
traits; out of them ten were selected for the comparison.
Analysis of variance showed
highly significant differences amongst guava genotypes in all traits except total sugar
content.
On the other hand, the sequence related amplified polymorphism (SRAP) was
used for the molecular analysis.
A total of 88 SRAP amplicons were generated by five
primer combinations, of which 58 bands (65.9%) were polymorphic.
Both cluster
analysis of unweighted pair-grouping method with arithmetic averages (UPGMA) and
principal coordinate (PCO) analysis based on phenotypic data and SRAP clearly
separated the genotypes according to their relationships.
However, the clustering
arrangement was different depending on the data used for the analysis.
In addition, the
percentage of polymorphism amongst the tested genotypes varied between the two
marker systems.
SRAP marker was able to generate some unique specific bands for
certain genotypes which could be helpful for further use in guava genetic enhancement.
Authors
M. Youssef, R.A. Ibrahim, K.A. Amein
Keywords
Psidium guajava, genetic variation, quantitative traits, SRAP
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