ONT: Optimal number of trials

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

Description

Identify the optimal number of trials.

Usage

ONT(Nenv, rgg)

Arguments

Nenv	dataframe object
rgg	numeric, a single value (from 0 to 1) indicating the expected threshold accuracy (we recommend the use of 0.7)

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.

2. Resende MDV, Duarte JB. Precisão e controle de qualidade em experimentos de avaliação de cultivares. Pesquisa Agropecuária Tropical. 2007;37(3):182–94.

Examples

data(MET_maize)
trial.evalut-trialEvalut(y = "YIELD", trials = "ENV", accuracy=0.7,
                         gen = "GEN", rep = "REP", df = MET.maize)
head(trial.evalut)

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