northcaro1: North Carolia Design I

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

Description

Data for analysis of north Carolina design I (Comstock and Rosbinson 1952).

Usage

data(northcaro1)

Format

A data frame with 72 observations on the following 6 variables.

set

set

male

male

female

female

progeny

progeny

replication

replication

yield

yield - Y variable

Source

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

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(northcaro1)
# using general linear model
p1 <- carolina1(dataframe = northcaro1, set = "set", male = "male", female = "female", 
progeny = "progeny", replication = "replication", yvar = "yield")
print(p1)
anova(p1[[1]]) # anova 

p1[[1]]$coefficients  ## coefficients  

p1$var.m # male variance 
p1$ var.f # femal variance 
p1$ var.A # variance additive 
p1$ var.D # variance dominance 

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