geno.corr: Genotypic Correlation Analysis

In variability: Genetic Variability Analysis for Plant Breeding Research

Description

Genotypic Correlation Analysis

Usage

geno.corr(data, genotypes, replication)

Arguments

data	traits to be analyzed
genotypes	vector containing genotypes
replication	vector containing replications

Value

Genotypic correlation matrix

Examples

data(vardata)
geno.corr(vardata[3:11],vardata$Genotypes,vardata$Replication)

Example output

$GenotypicCorrelation
     DFF       PH         PL         PW         HI         TW        
DFF  1 **      0.7392 **  0.1762 NS  0.2853 NS  -0.3155 *  0.4779 ** 
PH   0.7392 ** 1 **       0.2326 NS  0.1194 NS  -0.3049 NS 0.4156 ** 
PL   0.1762 NS 0.2326 NS  1 **       0.1312 NS  -0.0599 NS -0.1113 NS
PW   0.2853 NS 0.1194 NS  0.1312 NS  1 **       0.2707 NS  -0.1507 NS
HI   -0.3155 * -0.3049 NS -0.0599 NS 0.2707 NS  1 **       -0.3539 * 
TW   0.4779 ** 0.4156 **  -0.1113 NS -0.1507 NS -0.3539 *  1 **      
MILL -0.112 NS -0.0849 NS -0.2625 NS 0.021 NS   0.3145 *   0.0103 NS 
HRR  0.1246 NS 0.0631 NS  -0.0078 NS 0.0288 NS  0.1014 NS  0.0443 NS 
GY   0.03 NS   0.1817 NS  0.1681 NS  0.3595 *   0.4467 **  -0.3574 * 
     MILL       HRR        GY        
DFF  -0.112 NS  0.1246 NS  0.03 NS   
PH   -0.0849 NS 0.0631 NS  0.1817 NS 
PL   -0.2625 NS -0.0078 NS 0.1681 NS 
PW   0.021 NS   0.0288 NS  0.3595 *  
HI   0.3145 *   0.1014 NS  0.4467 ** 
TW   0.0103 NS  0.0443 NS  -0.3574 * 
MILL 1 **       0.2539 NS  0.231 NS  
HRR  0.2539 NS  1 **       -0.1061 NS
GY   0.231 NS   -0.1061 NS 1 **      

$Note1
[1] "The sig of genotypic correlation was tested using t test (two-tail). The degree of freedom used is number of genotypes - 2"

$Note2
[1] "If NaNs are produced checkout for negative genotypic variance for one or more traits"

variability documentation built on Oct. 24, 2020, 9:10 a.m.