Complete diallel of eight parents (Griffing's Method 1)

Yield of an eight-parent diallel with parents, \(F_1\) and reciprocal \(F_1\) (all 64 crosses) in a randomized complete block experiment with four replicates. The data for Griffing's Methods 2, 3 and 4 (GriffingData2, GriffingData3, GriffingData4) are subsets of these plots, and HaymanData is the same data set.

Usage

data(GriffingData1)

Format

A data.frame with 256 rows (64 crosses by 4 replicates) and 4 columns:

Cross1: female parent (factor, levels 1 to 8).
Cross2: male parent (factor, levels 1 to 8); Cross1 == Cross2 for the parents.
Rep: replicate (factor, levels 1 to 4).
Yield: yield (numeric).

Source

Example data of the package since its first version.

References

Griffing, B. (1956). Concept of general and specific combining ability in relation to diallel crossing systems. Australian Journal of Biological Sciences, 9(4), 463–493. doi:10.1071/BI9560463

Singh, R. K. and Chaudhary, B. D. (2004). Biometrical Methods in Quantitative Genetic Analysis. Kalyani Publishers, New Delhi.

Author

Muhammad Yaseen (myaseen208@gmail.com)

Examples

data(GriffingData1)
str(GriffingData1)
#> 'data.frame':	256 obs. of  4 variables:
#>  $ Cross1: Factor w/ 8 levels "1","2","3","4",..: 1 1 1 1 1 1 1 1 2 2 ...
#>  $ Cross2: Factor w/ 8 levels "1","2","3","4",..: 1 2 3 4 5 6 7 8 1 2 ...
#>  $ Rep   : Factor w/ 4 levels "1","2","3","4": 1 1 1 1 1 1 1 1 1 1 ...
#>  $ Yield : num  104.9 88.7 109.8 128.1 128.4 ...
with(data = GriffingData1, expr = tapply(X = Yield, INDEX = list(Cross1, Cross2), FUN = mean))
#>         1       2       3       4        5       6        7       8
#> 1  85.645  87.010  90.455 114.945 120.2900  68.550 107.6425  52.640
#> 2  80.690  98.260 111.575  88.170  99.9300  73.265  97.6400  85.650
#> 3 102.230 104.555  74.070 100.645  94.2850 100.885 111.5400 117.735
#> 4 119.115  89.310 102.675  91.640  85.2850 105.795  64.4500  46.855
#> 5 111.290 102.890  88.265  83.390  54.1025  84.150  81.9350  94.820
#> 6  68.835  71.295  99.575 108.665  87.9650 100.390 121.6100  53.740
#> 7 109.265  87.820 108.445  57.650  78.7500 115.670  90.9600 125.270
#> 8  48.720  83.145 115.400  46.740  93.3200  60.240 118.1700  82.000