HMGV: Harmomic Mean of Genotypic Values (HMGV)

In gcostaneto/YieldTrial: Phenotypic analysis and diagnosis over multienvironment trials in plant breeding

Description

Returns a dataframe containing outputs results from two-by-two analysis using mixed model REML/BLUP (assuming random genotypic effects and fixed block). Perform a analysis on the variety connectivity (number of the same genotypes among trials), calculate the Indicates what type of genoytpe x environment interaction are predominant.

Usage

HMGV(df, y, gen)

Arguments

df	dataframe object containing genotypic values or means for each genotype across the environmentsdf object
y	numeric type column associated to evaluated trait within df object
gen	factor type column associated to genotype levels within df object

Author(s)

Germano Martins F. Costa Neto <[e-mail]>

References

1. Colombari Filho JM, de Resende MDV, de Morais OP, de Castro AP, Guimarães ÉP, Pereira JA, et al. Upland rice breeding in Brazil: A simultaneous genotypic evaluation of stability, adaptability and grain yield. Euphytica. 2013;192(1):117–29.

Examples

data(MET_maize)
env.corr<-envcorrelation(y = "YIELD", trials = "ENV",
                         gen = "GEN", rep = "REP", df = MET.maize)
head(env.corr)

gcostaneto/YieldTrial documentation built on June 10, 2019, 5:45 a.m.