northcaro2: North Carolina Design II

In plantbreeding: Analysis and visualization of data from plant breeding and genetics experiments

Description

Example data for analysis of North Carolina design II (Comstock and Rosbinson 1952).

Usage

data(northcaro2)

Format

A data frame with 300 observations on the following 9 variables.

Loc

Loc

set

Set

rep

replication

female

femail

male

male

plrv

plrv

yield

yield

tuber

tuber

weight

weight

References

Comstock R.F., Rosbinson F.F (1952). Estimation of average dominance of genes. In Heterosis, Iowa State College Press, Iowa City, Iowa, chapter 30.

Singh R.K., Chaudhary B.D.(1985) Biometrical Methods in Quantitative Genetics Analysis, Kalyani Publishers

Mather K., Jinks J.L. (1971). Biometrical Genetics. Chapman & Hall, London.

Saxton A. (2004) Genetic Analysis of Complex Traits Using SAS. SAS Institute, Inc.

Examples

 data(northcaro2)
 # for trait yield 
myo <- carolina2(dataframe = northcaro2, set = "set", male = "male", female = "female", 
replication = "rep", yvar = "yield")
anova(myo$model) # anova 
myo$var.m
myo$var.f
myo$var.mf
myo$var.Af
myo$var.D

# for trait tuber  
tum <- carolina2(dataframe = northcaro2, set = "set", male = "male", female = "female",
 replication = "rep", yvar = "tuber")
anova(tum$model) 
anova(tum$model) # anova 
tum$var.m
tum$var.f
tum$var.mf
tum$var.Af
tum$var.D

plantbreeding documentation built on May 2, 2019, 4:54 p.m.