gpbStat (version 0.4.4)

ltcmt: Analysis of Line x Tester data for multiple traits containing only Crosses laid out in RCBD or Alpha Lattice design.

Description

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

Usage

ltcmt(data, replication, line, tester, traits, block)

Value

Mean

Table of means.

ANOVA

ANOVA with all the factors.

GCA.Line

GCA effects of lines.

GCA.Tester

GCA effects of testers.

SCA

SCA effects of crosses.

CV

Coefficent of Variation.

Genetic.Variance.Covariance

Genetic component Variance and covariance.

Std.Error

Standard error for combining ability effects.

C.D.

Critical Difference at 5 pecent for combining ability effects.

Add.Dom.Var

Additive and Dominance component of Variance.

Contribution.of.Line.Tester

Contribution of Lines, Testers and Line x Tester towards total variation.

Arguments

data

dataframe containing following variables

replication

replication

line

line

tester

tester

traits

multiple traits of interest

block

block (for alpha lattice design only)

Author

Nandan Patil

Details

Analyzing the line by tester data of multiple trais only using the data from crosses which are evaluated in RCBD and Alpha lattice design. All the factors are considered as fixed.

References

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.

See Also

ltcchk

Examples

if (FALSE) #Line Tester analysis data with only crosses in RCBD
library(gpbStat)
data(rcbdltcmt)
result1 = ltcmt(rcbdltcmt, replication, line, tester, rcbdltcmt[,4:5])
result1

#Line Tester analysis data with only crosses in Alpha Lattice
library(gpbStat)
data(alphaltcmt)
result2 = ltcmt(alphaltcmt, replication, line, tester, alphaltcmt[,5:7], block)
result2