Individual ANOVA for Each Environment
# S3 method for default indiv_anova(.data, .y, .rep, .gen, .env)
| .data | data.frame |
|---|---|
| .y | Response Variable |
| .rep | Replication Factor |
| .gen | Genotypes Factor |
| .env | Environment Factor |
Additive ANOVA
Singh, R. K. and Chaudhary, B. D. (2004) Biometrical Methods in Quantitative Genetic Analysis. New Delhi: Kalyani.
data(ge_data) Yield.indiv_anova <- indiv_anova( .data = ge_data , .y = Yield , .rep = Rep , .gen = Gen , .env = Env ) Yield.indiv_anova#> $`Analysis of Variance for FSD` #> Df Sum Sq Mean Sq F value Pr(>F) #> Gen 59 45524231 771597 32.62 <2e-16 *** #> Residuals 60 1419180 23653 #> --- #> Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 #> #> $`Analysis of Variance for FSDR` #> Df Sum Sq Mean Sq F value Pr(>F) #> Gen 59 14019781 237623 2.724 7.91e-05 *** #> Residuals 60 5234860 87248 #> --- #> Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 #> #> $`Analysis of Variance for Okara` #> Df Sum Sq Mean Sq F value Pr(>F) #> Gen 59 26802597 454281 3.538 1.22e-06 *** #> Residuals 60 7703642 128394 #> --- #> Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 #> #> $`Analysis of Variance for Sargodha` #> Df Sum Sq Mean Sq F value Pr(>F) #> Gen 59 38381469 650533 4.254 4.3e-08 *** #> Residuals 60 9175301 152922 #> --- #> Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 #> #> $`Analysis of Variance for Gujranwala` #> Df Sum Sq Mean Sq F value Pr(>F) #> Gen 59 41863914 709558 4.687 6.55e-09 *** #> Residuals 60 9082956 151383 #> --- #> Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 #> #> $`Analysis of Variance for KotNaina` #> Df Sum Sq Mean Sq F value Pr(>F) #> Gen 59 26692263 452411 4.3 3.51e-08 *** #> Residuals 60 6313095 105218 #> --- #> Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 #> #> $`Analysis of Variance for KSK` #> Df Sum Sq Mean Sq F value Pr(>F) #> Gen 59 17890629 303231 3.472 1.68e-06 *** #> Residuals 60 5239575 87326 #> --- #> Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 #> #> $`Analysis of Variance for Khanewal` #> Df Sum Sq Mean Sq F value Pr(>F) #> Gen 59 15125214 256360 2.451 0.000345 *** #> Residuals 60 6274965 104583 #> --- #> Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 #> #> $`Analysis of Variance for Sahiwal` #> Df Sum Sq Mean Sq F value Pr(>F) #> Gen 59 26109918 442541 4.095 8.82e-08 *** #> Residuals 60 6484679 108078 #> --- #> Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 #> #> $`Analysis of Variance for Bhakkar` #> Df Sum Sq Mean Sq F value Pr(>F) #> Gen 59 10870598 184247 1.862 0.00885 ** #> Residuals 60 5936717 98945 #> --- #> Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 #> #> $`Analysis of Variance for Bahawalnagar` #> Df Sum Sq Mean Sq F value Pr(>F) #> Gen 59 9718292 164717 1.716 0.0196 * #> Residuals 60 5760765 96013 #> --- #> Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 #>