ltc | R Documentation |

Analysis of Line x Tester data containing only Crosses laid out in RCBD or Alpha Lattice design.

```
ltc(data, replication, line, tester, y, block)
```

`data` |
dataframe containing following variables |

`replication` |
replication |

`line` |
line |

`tester` |
tester |

`y` |
trait of interest |

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

Analyzing the line by tester data only using the data from crosses which are evaluated in alpha lattice design. All the factors are considered as fixed.

`Overall ANOVA` |
ANOVA with all the factors. |

`Coefficient of Variation` |
ANOVA with all the factors. |

`Genetic Variance` |
Phenotypic and Genotypic variance for the given trait. |

`Genetic Variability` |
Phenotypic coefficient of variability and Genotypic coefficient of variability and Environmental coefficient of Variation. |

`Proportional Contribution` |
Propotional contribution of Lines, Tester and Line x Tester interaction. |

`GCA lines` |
Combining ability effects of lines. |

`GCA testers` |
Combining ability effects of testers. |

`SCA crosses` |
Combining ability effects of crosses |

```
Line x Tester
ANOVA
``` |
ANOVA with all the factors. |

`GV Singh & Chaudhary` |
Genetic component of Variance as per Singh and Chaudhary, 1977. |

`Standard Errors` |
Standard error for combining ability effects. |

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

The block variable is inserted at the last if the experimental design is Alpha Lattice. For RCBD no need to have block factor.

Nandan Patil tryanother609@gmail.com

Kempthorne, O. (1957), Introduction to Genetic Statistics. John Wiley and Sons, New York. , 468-472. Singh, R. K. and Chaudhary, B. D. (1977). Biometrical Methods in Quantitative Genetic Analysis. Kalyani Publishers, New Delhi.

`ltcchk, dm2, ltcmt`

```
## Not run: #Line Tester analysis data with only crosses in RCBD
library(gpbStat)
data(rcbdltc)
result1 = ltc(rcbdltc, replication, line, tester, yield)
result1
#Line Tester analysis data with only crosses in Alpha Lattice
library(gpbStat)
data(alphaltc)
result2 = ltc(alphaltc, replication, line, tester, yield, block)
result2
## End(Not run)
```

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