dm2 | R Documentation |

Analysis of Diallel Method 2 data containing only Crosses laid out in RCBD or Alpha Lattice design.

```
dm2(data, rep, parent1, parent2, var, block)
```

`data` |
dataframe containing following variables |

`rep` |
replication |

`parent1` |
parent 1 |

`parent2` |
parent 2 |

`var` |
trait of interest |

`block` |
block (for alpha lattice only) |

Analyzing the Diallel Method 2 data containing only crosses which are evaluated in RCBD & Alpha lattice design. All the factors are considered as fixed.

`Means` |
Two way mean table. |

`ANOVA` |
ANOVA for the given variable. |

`Coefficient of Variation` |
Coefficient of Variation of the variable. |

`Diallel ANOVA` |
Diallel ANVOA for the given trait. |

`Genetic Variance` |
GCA & SCA varaince. |

`Combining ability effects` |
Two way table containing Combining ability effects of parents and crosses |

`Standard Error` |
Standard Errror for comining ability effects. |

`Critical Difference` |
Critical Difference at 5 pecent for combining ability effects. |

The blocks are mentioned at end of the function if the experimental design is Alpha Lattice. For RCBD no need mention the blocks.

Nandan Patil tryanother609@gmail.com

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.

Dabholkar, A. R. (1999). Elements of Bio Metrical Genetics. Concept Publishing Company, New Delhi.

Singh, R. K. and Chaudhary, B. D. (1977). Biometrical Methods in Quantitative Genetic Analysis. Kalyani Publishers, New Delhi.

`ltcchk, ltc`

```
## Not run: #Diallel Method 2 analysis containing only crosses in RCBD.
library(gpbStat)
data(dm2rcbd)
result1 = dm2(dm2rcbd, rep, parent1, parent2, DTP)
result1
#Diallel Method 2 analysis containing only crosses in Alpha Lattice
library(gpbStat)
data(dm2alpha)
result2 = dm2(dm2alpha, replication, parent1, parent2, TW, block)
result2
# Save results to csv file
lapply(result2, function(x) write.table(data.frame(x), 'result2.csv' , append= T, sep=','))
## End(Not run)
```

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