multloc: Multi-location data

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

Description

The multi-location data from SAS for mixed model package

Usage

data(multloc)

Format

A data frame with 108 observations on the following 7 variables.

obs

observations

Location

Locations: A B C D E F G H I

Block

Blocks: a factor with levels 1 2 3

Trt

Treatments: a factor with levels 1 2 3 4

Adj

Adj: a numeric vector

Fe

Fe: a numeric vector

Grp

Groups

Source

Littel, R. C., Milliken, G. A., Stroup, W. W., and Wolfinger, R. D. (1996), SAS System for Mixed Models, SAS Institute (Data Set 2.8.1).

References

Gauch H.G.(1992). Statistical analysis of regional yield trials - AMMI analysis of factorial designs. Elsevier, Amsterdam.

Gauch H.G. (2006). Statistical analysis of yield trials by AMMI and GGE. Crop Sci. 46:1488-1500.

Gauch, H.G., Zobel.R.W. (1996). AMMI analysis of yield trials. p.85-122. In M.S. Kang and H.G. Gauch, Jr. (ed.) Genotype-byenvironment interaction. CRC Press, Boca Raton, FL.

Eberhart S.A., Russell W.A. (1966) Stability parameters for comparing varieties. Crop Sci. 6: 36-40.

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

Kang M.S., Aggarwal V.D., Chirwa R.M.(2006) Adaptability and stability of bean cultivars as determined via yield-stability statistic and GGE biplot analysis. J. Crop Improv. 15:97-120

Examples

# stability analysis 
data(multloc)
out <- stability (dataframe = multloc , yvar = "Adj", genotypes = "Trt",
 environments = "Location", replication =  "Block")
print(out)
# AMMI analysis 
results <- ammi.full(dataframe = multloc , environment = "Location", genotype = "Trt",
 replication = "Block", yvar = "Adj")
print(results)

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