New! NTSYS Pc 2.2 12



 
 
 
 
 
 
 

New! NTSYS Pc 2.2 12

in this study, allele-specific fragment analysis, as a modified pcr technique, was performed to detect the alleles of six polymorphic ssr loci associated with growth traits in two strains of rainbow trout, and the relationship between the genotypes and traits were analyzed. the alleles of six ssr loci were detected by fragment analysis. the saffman-turner results showed that the six loci were co-dominant, and the positive ratios of different band patterns were 0.5, 0.33, 0.33 and 0.50. the loci explained a total of 66.3% of the variance in the traits.
the results showed that these six loci were successfully amplified, and the variation in the number of bands of the six loci had a positive correlation with most of the growth traits.

the parental species in this study was the cultured species, and the hybrid was obtained via fertilization between them. the main objective of the study was to estimate the genetic divergence between the two parental species and hybrid, using the internal transcribed spacer region (its) data. the its region of the rdna is one of the most commonly used for phylogenetic studies, including intra and inter-species relationships, due to its high variability, and the great amount of information it can provide (simonet and simonet, 2004). previously published its data from 10 strains of german carp(cyprinus carpio) and chinese carp(cyprinus carpio) were also included in this study. this study showed that the genetic distances for the two parent species and the offspring are 0.146, 0.182, 0.208, and 0.217, respectively.

a binary nucleotide genetic similarity matrix among six sections of untreated and thermo-treated seed of black gram, white gram and maize (ph.z. 4 x tzs.22), was generated using rapd data using the dendrogram. among the samples, the number of polymorphic bands for maize and the thermally treated seeds was highest. these results agreed with the genotypes of the mature seeds as analyzed by the rapd technique. genotypic information could be used to make a genetic map of germplasm, and thereby facilitate determination of allelic groups and chromosome markers for genetic analysis and breeding of maize.

NTSYSpc can transform three types of data: categorical, numerical, and mixed. Categorical variables may be transformed by assigning a value to each category. Multivariate data can be transformed by a series of linear and/or non-linear procedures (e.g. principal components analysis) that are based on the properties of the data. NTSYSpc uses the statistical package „SPSS“ to estimate the transformation (linear or non-linear).
NTSYSpc provides a graphical output of clustering (dendrogram) and multidimensional scaling (MDS) approaches. The results may be summarized using summary statistics and labeling. MDS and Principal Components Analysis (PCA) are multivariate techniques that describe and summarize the relationships among a set of multivariate variables. PCA is a non-parametric approach while MDS is a parametric approach. The former is a dimension reduction technique while the latter is a dimension expansion technique. The results from the PCA and MDS approaches may be exported as two- and three-dimensional scatter plots respectively.
The NTSYSpc package comprises 23 different modules. A graphical representation is provided to navigate through the different modules and to visualize each step that is performed. The packages are illustrated using three different types of simulated data (see manual for more details).
An essential requirement for the development of any statistical software package is its ability to examine program objects and their properties. The user can examine object properties using the graphical user interface (GUI). The GUI provides a standard interface to the different objects and their properties for an easy understanding and easy navigation. The user can change objects and their properties using the GUI. By selecting objects, properties of objects and their properties are highlighted and are displayed on the GUI. The user is guided by the highlighted properties on the GUI. At the end of the list of properties, the GUI highlights the required properties to be selected from the list. The user can change the order of objects and their properties using the GUI (Figure-1). The GUI for the NTSYSpc software has been illustrated in Figure-2. The Tree View menu opens the dialog box to determine the customized option of the tree view. The tree view dialog box is illustrated in the figure as illustrated in Figure 3. The populated dialog box provides an option to compare/merge multiple trees (Figure-4). The user can select individual tree from the tree view dialog box. The list of tree view options is illustrated in the figure as shown in Figure-5. The dialog box is illustrated as shown in the Figure 6. From the tree view dialog box, user can get various other functionalities as shown in Figure-7.
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