maizeYield: Maize Phenotypic Data Set
In allogamous/EnvRtype: Envirotyping Tools for Crop Research and Genetic Improvment
maizeYield R Documentation
Maize Phenotypic Data Set
Description
This data set was included in Souza et al. (2017) and Cuevas et al (2019) is from
the Helix Seeds Company (HEL). It consists of grain yied from 452 maize hybrids
obtained by crossing 111 pure lines (inbreds); the hybrids were evaluated in 2015 at five Brazilian sites (E1-E5). The experimental design
used in each site was a randomized block with two replicates per hybrid. However, to facilitate the demonstration of functions,
only 150 hybrids per environment are being considered, thus counting 750 genotype x environment observations.
Grain yield data are mean-centered and scaled.
Usage
data(maizeYield)
Format
A data frame with 750 rows and 3 variables:
- env
environmental id (factor)
- gid
genotypic id (factor)
- value
grain yield value of genotype plus genotype by location interaction effects in kg ha-1 (numeric)
...
Examples
data(maizeYield); head(maizeYield)
allogamous/EnvRtype documentation built on Nov. 1, 2024, 3:48 a.m.
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| maizeYield | R Documentation |
Maize Phenotypic Data Set
Description
This data set was included in Souza et al. (2017) and Cuevas et al (2019) is from the Helix Seeds Company (HEL). It consists of grain yied from 452 maize hybrids obtained by crossing 111 pure lines (inbreds); the hybrids were evaluated in 2015 at five Brazilian sites (E1-E5). The experimental design used in each site was a randomized block with two replicates per hybrid. However, to facilitate the demonstration of functions, only 150 hybrids per environment are being considered, thus counting 750 genotype x environment observations. Grain yield data are mean-centered and scaled.
Usage
data(maizeYield)
Format
A data frame with 750 rows and 3 variables:
- env
environmental id (factor)
- gid
genotypic id (factor)
- value
grain yield value of genotype plus genotype by location interaction effects in kg ha-1 (numeric)
...
Examples
data(maizeYield); head(maizeYield)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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