carolina1: Analysis of North Carolina Design I

Description Usage Arguments Value Author(s) References Examples

Description

The function performs analysis of North Carolina I design (Comstock and Rosbinson 1952).

Usage

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carolina1(dataframe, set, male, female, progeny, replication, yvar)

Arguments

dataframe

Dataframe sould consist of variables set, male, female, progeny and replication along with at least one y variable (yvar)

set

name of numeric variable for set

male

name of numeric variable with male

female

name of numeric variable with female

progeny

name of numeric variable with progeny

replication

name of numeric variable with replication

yvar

name of name of y variable to be analyzed

Value

The following values as list are returned -

model

model - use anova (model) to see analysis of variables

'variance male'

Male variance

'BULP estimates'

BLUP estimates

'variance female'

Female variance

'additive variance'

Additive variance

'dominance variance'

Dominance variance

'female:male:set:replication'

female:male:set:replication

'female:male:set'

female:male:set

'male:set'

male:set

'set:replication'

set:replication

Author(s)

Umesh R. Rosyara

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

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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.