PhenoData: Data about all phenotype

In JunhuiLi1017/JM4QTN: Joint Mapping for QTN

Description

A data frame with 647 observations on the following 10 variables, the phenotype value is calculated by best linear unbias estimates.

Usage

data("PhenoData")

Format

A data frame with 647 observations on the following 13 variables.

Indi

The ID of individuals, which is a factor with levels of Pop1 with 131 individuals, Pop2 with 120 individuals, Pop3 with 200 individuals and Pop4 with 200 individuals

Popu

a factor with levels Pop1 Pop2 Pop3 Pop4 for multiple-line cross population

Ma

a factor with levels A D for parent 1

Pa

a factor with levels B C E F for parent 2

newEC1

a numeric vector for trait newEC1

newEC2

a numeric vector for trait newEC2

newEC3

a numeric vector for trait newEC3

BM1

a numeric vector for trait BM1

BM2

a numeric vector for trait BM2

BM3

a numeric vector for trait BM3

predPH1

a numeric vector for trait predPH1

predPH2

a numeric vector for trait predPH2

predPH3

a numeric vector for trait predPH3

Details

Popu is the levels of multiple cross populations with different parent crosses, if it is filled with several levels, then linkage mapping or association mapping analysis is done for multiple cross populations, otherwise just for only one population

References

Hu, H., Meng, Y., Wang, H., Liu, H., and Chen, S. (2012). Identifying quantitative trait loci and determining closely related, stalk traits for rind penetrometer resistance in a high-oil maize, population. Theoretical and Applied Genetics, 124(8), 1439-1447.

Hu, H., Liu, W., Fu, Z., Homann, L., Technow, F., and Wang, H., et al. (2013). Qtl mapping of stalk bending strength in a recombinant inbred line maize population. Theoretical and Applied Genetics, 126(9), 2257-66.

Examples

data(PhenoData)

JunhuiLi1017/JM4QTN documentation built on June 4, 2019, 4:10 a.m.