Abstract:
Guava is cultivated in Bangladesh, India, Thailand, Brazil, Florida, West Indies, California
and many other countries of the world. Worldwide Pakistan is the 2 nd largest producer after
India. In Pakistan it ranks fifth. It is cultivated under the area of 72 thousand ha and
production is 546 thousand tons. It is an allogamous crop (25-40% cross pollination) which
causes the genetic divergence, on one hand it causes clonal degradation and on other hand it
add new cultivars. There are different types of breeding methods to improve the crop but our
focus on selection. We used 132 promising guava (Psidium guajava L.) genotypes collected
from 12 areas in Pakistan. A total of 33 traits (18 qualitative and 15 quantitative) were
applied to assess the genetic variability and structure of these guava germplasm. Characters
including fruit acidity, fruit diameter, seed weight, non-reducing sugar, thickness of outer
flesh, number of seed, fruit sweetness, longitudinal grooves, leaf twisting, fruit color of skin,
fruit shape at stalk, longitudinal ridges and color of flesh were highly variable. Many of these
traits in this study are of high economic importance and can be used as breeding targets on
fruit yield and quality. Strong positive correlations were detected among 15 quantitative traits
related to fruit yield and quality including fruit length and fruit diameter, fruit weight and
fruit diameter, length of leaf blade and width of leaf blade, number of seeds and seed weight,
fruit weight and diameter of cavity on fruit, seed weight and fruit weight. But there were
more negative correlations among 18 qualitative traits studied. These 132 accessions
involving 33 traits were categorized by principle components analysis (PCA). Results on
correlation relationship among these traits were also projected in 2D plot. The morphological
dendrogram generated from agglomeration hierarchical clustering (AHC) can distinguish all
the 132 accessions into 3 major clusters. Images of genetic diversity and structure on these
guava accessions were also presented in 2D plot. In this paper we report, for the first time,
genetic variability and structure of Pakistan guava germplasm and its implications on
conservation and breeding. Our results showed that morphological traits (using XLSTAT
software) were very appropriate for studying genetic relationships among guava accessions
and can be used for other open pollinated fruit plant germplasm management and breeding
strategies as well.Retrotransposon-based DNA marker system (iPBS) and micro-satellite (SSR) markers were
used to assess molecular variation and genetic structure in 51 promising Pakistani guava
genotypes Psidium guajava L. together with 19 international accessions. The main objective
of this research was to compare results derived from data sets for varietal identification and
diversity estimation in Guava germplasm by iPBS and SSR marker systems. PCR from 5
iPBS primers (dominant markers) produced a total of 90 bands (100% polymorphic ) ranging
from 100 bp to 2600 bp, and the mean PIC value for each primer ranging from 0.2339 to
0.3698. The 18 pairs of SSR primers (co-dominant markers) produced a total of 71 bands
(100% polymorphic) ranging from 150 bp to 900 bp, and the mean PIC value for each primer
ranging from 0.0848 to 0.9891. Molecular information generated from both iPBS and SSR
methods were separately scored in a matrix for phylogenetic dendrogram construction as well
as principle components analysis (PCA). Both iPBS and SSR markers can discriminate all
the accessions evaluated into diversity groups. The phylogenetic dendrogram based on iPBS
markers reflected not only the botanical morphologic classifications of the plants studied, but
also the geographic distribution of some major international guava cultivars (Pakistan,
Mexican, Hawaiian and Indian). In SplitTree results from iPBS method, 51 Pakistan
accessions of Psidium guajava from 6 districts were distinguished into 6 groups according to
their original locality. Results from the molecular analysis correspond strongly to that of
PCA. Comparing to the SSR marker system, the iPBS PCR-based genome fingerprinting
technology in this study is low-cost and provides another effective alternative in
differentiation accessions in guava (Psidium guajava Linn.) and related species or genera.
These results showed that iPBS marker system was very appropriate for study of genetic
relationships among guava accessions and can be used for study of the genetic structure of
Myrtaceae germplasm as well as other plants.