Copyright, 2005 © IASRI, Pusa, New Delhi-12, India SPAR 2.0

Copyright, 2005 © IASRI, Pusa, New Delhi-12, India

SPAR 2.0SPAR 2.0


OBJECTIVESOBJECTIVES


• To design and develop the windows version of the SPAR 1.0.

• Development of additional modules which are not available in the SPAR 1.0 and also to build in house capacity for developing similar packages required for other areas of research in agriculture.

SPAR 2.0 Features …SPAR 2.0 Features …

• Statistical Package for Agricultural Research (Statistical Package for Agricultural Research (SPAR 2.0) has been, primarily, developed for the SPAR 2.0) has been, primarily, developed for the statistical analysis of experimental research data in Plant Breeding and Genetics. However statistical analysis of experimental research data in Plant Breeding and Genetics. However many of the programs can be used for the analysis of the data coming from other Disciplines of many of the programs can be used for the analysis of the data coming from other Disciplines of Research, provided the data confirms to the method and design used in the program.Research, provided the data confirms to the method and design used in the program.



The package consists of the following modules …The package consists of the following modules …

• Data Management ModuleData Management Module

i.i. Editing of DataEditing of Data

ii.ii. Transformation of DataTransformation of Data



• compute and modify the data using the operatorscompute and modify the data using the operatorsi.i. RelationalRelationalii.ii. NumericNumericiii.iii. ArithmeticArithmeticiv.iv. Logical Logical

• One can transform the data using variousOne can transform the data using variousi.i. LogarithmicLogarithmic

ii.ii. TrigonometricTrigonometric

iii.iii. InverseInverse

iv.iv. Other Mathematical functions.Other Mathematical functions.



• User can either enter the data through the worksheet User can either enter the data through the worksheet of SPAR 2.0 Editor or can browse the data.of SPAR 2.0 Editor or can browse the data.

• Descriptive Statistics ModuleDescriptive Statistics Module consists of consists of the following sub modulesthe following sub modules

i.i. Measures of central tendencyMeasures of central tendency

ii.ii. Measures of dispersionMeasures of dispersion

iii.iii. Generation of momentsGeneration of momentsiv.iv. Measures and coefficients of skewnessMeasures and coefficients of skewnessv.v. Measures and coefficients of kurtosisMeasures and coefficients of kurtosis

vi.vi. Measures of partition valuesMeasures of partition values Copyright, 2005 © IASRI, Pusa, New Delhi-12, India

SPAR 2.0 Features …SPAR 2.0 Features …• Estimation of Breeding ValuesEstimation of Breeding Values ModuleModule can predict breeding values by can predict breeding values byi.i. Fitting of Generation means (as Three, Five and Six parameter model)Fitting of Generation means (as Three, Five and Six parameter model)

ii.ii. Performing Scaling and Joint Scaling TestsPerforming Scaling and Joint Scaling Tests

• Correlation and Regression AnalysisCorrelation and Regression Analysis ModuleModulei.i. Computes Regression coefficientsComputes Regression coefficients

ii.ii. Analysis of variance of regression modelAnalysis of variance of regression model

iii.iii. Regression Equation (Linear and Multiple)Regression Equation (Linear and Multiple)

iv.iv. Simple correlationSimple correlation

v.v. Partial and Multiple correlationsPartial and Multiple correlations

vi.vi. Validity of test of significance Validity of test of significance

vii.vii.Path analysisPath analysisCopyright, 2005 © IASRI, Pusa, New Delhi-12, India

SPAR 2.0 Features …SPAR 2.0 Features …• Variance and Covariance Components EstimationVariance and Covariance Components Estimation ModuleModule consists of consists of

• Computation of ANOVAComputation of ANOVA

• Components of Variance such asComponents of Variance such asa.a. PhenotypicPhenotypic

b.b. Genotypic components of variationGenotypic components of variation

• Heritability (broad sense)Heritability (broad sense)

• Standard errorStandard error

• Critical differencesCritical differences

• Bivariate analysis of variance and covariance components.Bivariate analysis of variance and covariance components.


SPAR 2.0 Features …SPAR 2.0 Features …• Stability AnalysisStability Analysis ModuleModule can be performed by can be performed by

i.i. Eberhart and Russell’s Eberhart and Russell’s

ii.ii. Perkins and JinksPerkins and Jinks

iii.iii. Freeman and Perkins ModelFreeman and Perkins Model


SPAR 2.0 Features …SPAR 2.0 Features …• Multivariate AnalysisMultivariate Analysis ModuleModule consists of the following sub modules consists of the following sub modules

i.i. Cluster AnalysisCluster Analysis

ii.ii. Discriminant AnalysisDiscriminant Analysis

iii.iii. Principal Component Analysis.Principal Component Analysis.


• Cluster AnalysisCluster Analysis ModuleModule is further is further partitioned intopartitioned into

i.i. Hierarchical Cluster AnalysisHierarchical Cluster Analysis

ii.ii. Non-Hierarchical Cluster Analysis.Non-Hierarchical Cluster Analysis.

SPAR 2.0 Features …SPAR 2.0 Features …• Discriminant AnalysisDiscriminant Analysis can be used for can be used for i.i. Estimation of Variance-Covariance MatrixEstimation of Variance-Covariance Matrix

ii.ii. Discriminant functionDiscriminant function

iii.iii. Optimal Linear combinationOptimal Linear combination

iv.iv. Testing the validity of significance .Testing the validity of significance .


• Principal Component Analysis Principal Component Analysis can be can be employed foremployed for

i.i. Computation of Variance-Covariance MatrixComputation of Variance-Covariance Matrix

ii.ii. Correlation MatrixCorrelation Matrix

iii.iii. Eigen ValuesEigen Values

iv.iv. Eigen VectorsEigen Vectors

v.v. Principal ComponentsPrincipal Components

vi.vi. Variance of Principal ComponentsVariance of Principal Components

vii.vii. Total variation by original variablesTotal variation by original variables

viii.viii. Total variation by Principal Components and proportion of total variation Total variation by Principal Components and proportion of total variation accounted for by each of the Principal Components.accounted for by each of the Principal Components.

SPAR 2.0 Features …SPAR 2.0 Features …• Mating Design Analysis ModuleMating Design Analysis Module consists of the following sub modules consists of the following sub modules

i.i. Complete DiallelComplete Diallel

ii.ii. Partial DiallelPartial Diallel

iii.iii. Line X Tester (with parents)Line X Tester (with parents)

iv.iv. Line X Tester (without parents)Line X Tester (without parents)

v.v. Three-Way CrossThree-Way Cross

vi.vi. Double Cross Double Cross

vii.vii. North Carolina Designs North Carolina Designs AnalysisAnalysis..



• It is user-friendly, interactive and password protected It is user-friendly, interactive and password protected package. It is completely menu-driven and can also be package. It is completely menu-driven and can also be operated using the ToolBars of SPAR 2.0 .operated using the ToolBars of SPAR 2.0 .

• Complete Web Help with Index, Contents, Complete Web Help with Index, Contents, Search and Favorites facility is available. Search and Favorites facility is available. The package can be run without the aid of The package can be run without the aid of a manual.a manual.



• This package consists all the necessary details to use the software and also the This package consists all the necessary details to use the software and also the basic definitions including mathematical formulas related to the methods used in basic definitions including mathematical formulas related to the methods used in the package . Moreover it includes samples inputs and outputs of all the modules. the package . Moreover it includes samples inputs and outputs of all the modules. This is a helpful tool for quick understanding of this statistical software. This is a helpful tool for quick understanding of this statistical software.



• This package is also useful for teaching the subject of genetical statistics This package is also useful for teaching the subject of genetical statistics to the post graduate students and helpful for the researchers in statistics to the post graduate students and helpful for the researchers in statistics with special interest in plant and animal sciences. with special interest in plant and animal sciences.



• The package is completely Standalone and is compatible The package is completely Standalone and is compatible with the Latest Technologies. It runs on WINDOWS with the Latest Technologies. It runs on WINDOWS Platform.Platform.

• Besides the features listed above, the Besides the features listed above, the package also works as an Editor with package also works as an Editor with limited facilities viz. Open, save and print limited facilities viz. Open, save and print files, cut, copy, paste the text; undo the files, cut, copy, paste the text; undo the last action, etc.last action, etc.


Why SPAR 2.0 …Why SPAR 2.0 …• SPAR 1.0 was developed at IASRI, for statistical analysis of SPAR 1.0 was developed at IASRI, for statistical analysis of

experimental research data in Plant Breeding and Genetics experimental research data in Plant Breeding and Genetics using Fortran Language, which was DOS based and had some using Fortran Language, which was DOS based and had some limitation like Dynamic Memory Allocation, Graphic User limitation like Dynamic Memory Allocation, Graphic User Interface. Interface.


Why SPAR 2.0 …Why SPAR 2.0 …

• The package was not able to handle The package was not able to handle large data sets. large data sets.

• So there was a need to develop the So there was a need to develop the Windows Version of SPAR 1.0. Windows Version of SPAR 1.0.


Why SPAR 2.0 …Why SPAR 2.0 …

• SPAR 2.0 is a Windows Version of SPAR 1.0 SPAR 2.0 is a Windows Version of SPAR 1.0 with some additional modules.with some additional modules.



Modules & Sub - modules

Modules Sub- modules

Data Management

Transformation of data Additional Methods To Be Added

Editing of data New

Descriptive Statistics

Mean Median

Measures of Central Tendency

Mode Range Quartiles Percen tiles Standard Deviation

Measures & Coefficients of dispersion

Mean Deviation Generation of Moments

Karl Pearsons’s Bowley’s

Measures & Coefficients of Skewness

Based upon moments Measures of Kurtosis General Mean & Scaling Tests

Multiple Correlation Linear

Regression Chi- Square test

Test of independence of attributes

Multivariate Analysis

Variance & Covariance Analysis

Cluster Analysis Additional Method To Be Added Discriminant Analysis Principal Components

Mating Design

Complete Diallel Partial Diallel

Path Ana lysis Line X Tester with parent Line X Tester without parent

Three way cross New Double cross New North Carolina New

Stability Analysis

Main Features of this Indigenous Main Features of this Indigenous Software Package …Software Package …


SPAR 2.0SPAR 2.0

Main Screen of Software Main Screen of Software PackagePackage

SPAR 2.0SPAR 2.0


Stability Analysis Stability Analysis






Results Generated by SPAR Results Generated by SPAR 2.02.0














Hierarchical Cluster Analysis Hierarchical Cluster Analysis ……


For Entering The Paramters



Results of Clicking Statistics Command Button



Results of Clicking Plot Button



For Selection of Cluster Method





Complete Diallel AnalysisComplete Diallel Analysis


For Entering The Paramters



SPAR 2.0 Editor !!!



SPAR 2.0 Help !!!


Results Obtained By SPAR 2.0


SPAR 2.0

64 MB RAM2 GB HDStandalone Application No External Dependencies


SPAR 2.0 Cost …SPAR 2.0 Cost …

• It is indigenous Software and is not very It is indigenous Software and is not very expensive.expensive.

• Rs. 1000 for NARSRs. 1000 for NARS

• Rs. 2500 for OthersRs. 2500 for Others

PlusPlus

Postal Charges …Postal Charges …


Documents

Copyright, 2005 © IASRI, Pusa, New Delhi-12, India SPAR 2.0