AMOVA analysis results showed that there is lowįrom these results it can be concluded that this low level ofĭifferentiation is may be due to the common ancestors of the populations mrigala wereĬollected from ten Riverine sites from the Indus, Ganges, BrahmaputraĪnd Mahanadi basins. mrigala from different Riverine sites in India. (2007) conducted the study to investigate the different populations
They postulated that mean diversity at population level is nearlyġ0% in C. catla placed in the same cluster consisting Population, is highly diverse and is not included in any cluster. catla population from Yamuna River Delhi, which is wild One river populations of Labeo rohita and Catla catla from different (2004) conducted a study with two hatchery and These results question both the homogeneity within theĪtlanto-Iberian sardine stock and the validity of its currentīoundaries. Their results indicated that there wasĪlso some evidence that fish from the western Mediterranean and theĪzores form a separate morphometric group. Sardine (Sardina pilchardus) populations from the northeastern AtlanticĪnd the western Mediterranean. Silva (2003) conducted a study on the morphometric variation among This fish forms one of the topĬandidates species of the sub-continent aquaculture due to itsĪdaptability in the poly-culture, being herbivorous and harvested record This species is indigenous to the Indus River in Pakistan andīrahmaputra and Ganges Rivers, India. Indian regions belongs to the ray finned fishes. Nomenclature and occurrence before the partition amongst the united Morakhi and it is also recognized as Indian major carp due to their mrigala is commonly known as mrigal, mori or Reported body weight have been 12.7kg (Talwar and Jhingran, 1991). It can obtain maximum length upto 100cm (Robert, 1997) and the averageĬommonly found individuals are of 40cm (Pethiyagoda, 1991) and maximum mrigala is grayish silver in colour with plain body, it hasġ2 to 15 dorsal fin rays, and 39 vertebrae in numbers (Kottelat, 2001). Key words: Intraspecific, AHC, Cirrhinus mrigala, Morphometric. The intraspecific variation among the populations of the same species. Impacts of changing environment and other possible factors influencing mrigala was indicated in this study which determined the
A measurable distinction between the classes of the populations The distance between the class/cluster centroids remained as ĥ0.820 for class one and two, 18.063 for class one and three, 14.564 forĬlass one and four, 68.856 for class two and three, 36.708 for two andįour while this distance between class three and four centroids wasģ2.408.
While 72.72% for the between class differences. From the results it isĬlearly indicated that variance decomposition for the optimalĬlassification values remained as, 27.28% for within class variation Mrigala in to four major clusters or classes. The representative samples of each site divided the populations of C. A dendrogram with the data on the morphometrics of Were collected from five different geographical sites of the farmed and The data on morphometrics of the samples of C. Group Method with Arithmetic Mean (UPGMA) as Agglomeration method by Intraspecific variations among the populations of Cirrhinus mrigala wasĭone by using Pearson Correlation Coefficient based Unweighted Pair Ali,ĪBSTRACT The agglomerative clustering analysis to find out the
CLUSTERING ANALYSIS FOR INTRASPECIFIC VARIATION STUDIES AMONGST THE POPULATIONS OF CIRRHINUS MRIGALA." Retrieved from
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