Description Usage Arguments Details Value Note Author(s) References See Also Examples
Analysis of Line x Tester data containing only Crosses laid out in RCBD or Alpha Lattice design.
1 
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.

ANOVA with all the factors. 

ANOVA with all the factors. 

Phenotypic and Genotypic variance for the given trait. 

Phenotypic coefficient of variability and Genotypic coefficient of variability and Environmental coefficient of Variation. 

Propotional contribution of Lines, Tester and Line x Tester interaction. 

Combining ability effects of lines. 

Combining ability effects of testers. 

Combining ability effects of crosses 

ANOVA with all the factors. 

Genetic component of Variance as per Singh and Chaudhary, 1977. 

Standard error for combining ability effects. 

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. , 468472. Singh, R. K. and Chaudhary, B. D. (1977). Biometrical Methods in Quantitative Genetic Analysis. Kalyani Publishers, New Delhi.
1 2 3 4 5 6 7 8 9 10 11 12 13  ## 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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