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bwgs's Introduction

BWGS (BreedWheat Genomic Selection pipeline)

R-CMD-check

The R package BWGS is developed by Dr. Van Giang Tran (L.G.) and Dr. Gilles Charmet. This repository is forked from original repository and modified as a R package. The BWGS is part of The European BreedWheat project (2011-2019) funded with 34M€. The publishing to Cran is maintained by Dr. Van Giang Tran & Dr. Gilles Charmet.

Installation

Install from CRAN

install.packages("BWGS")

Install dev version from github Github

devtools::install_github('vangiangtran/BWGS')

Documentation

See full documentation from original repository and publication

Reference

G. Charmet, L.G. Tran, J. Auzanneau and R. Rincent, S. Bouchet (2020) BWGS: A R package for genomic selection and its application to a wheat breeding programme. PLOS ONE 15(4): e0222733. https://doi.org/10.1371/journal.pone.0222733

V.G. Tran, D. Ly, G. Charmet. A Breed Wheat Genomic Selection pipeline. EUCARPIA Cereal Section & ITMI, 2014, Wernigerode, Germany. 359 p., 2014, Cereals for Food, Feed and Fuel – Challenge for Global Improvement. ⟨hal-02739684⟩

G. Charmet, V.G. Tran, D. Ly and J. Auzanneau. Breeding value estimation for yield and quality traits in wheat using BWGS pipeline. 9. Intern. Wheat conference, Sep 2015, Sydney, Australia. ⟨hal-02340476)

G. Charmet, V.G. Tran, D. Ly, J. Auzanneau. A R-based integrated pipeline for genomic and application to a wheat breeding programme. 20. Eucarpia General Congress, The European Plant Science Organisation (EPSO). BEL., Aug 2016, Zurich, Switzerland. ⟨hal-02743844⟩

J. Charmet, V.G. Tran, J. Auzanneau. Breeding value estimation for Yield and Quality traits using BWGS pipeline. JOBIM : Journées Ouvertes Biologie Informatique Mathématiques, Jul 2015, Clermont-Ferrand, France. ⟨hal-02299627⟩

S. Babi, R. Rincent, V.G. Tran, D. Alvarez, J. Bordes, et al.. Peut-on prédire la composition de la farine du blé?. 5. Colloque du Réseau Français de Biologie des Graines, Oct 2015, Clermont-Ferrand, France. ⟨hal-02299641⟩

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bwgs's Issues

bwgs.cv - output issue

First of all, I have to say that I find the BWGS package for R really useful and user friendly. Especially for people like me that are new to genomic selection.

But, I'm facing a problem when using one of the functions and I hope there is a solution to it.

Namely, when using the „bwgs.cv“ function together with „pop.reduct.method“ set to „OPTI“ (CDmean optimisation) I'm not getting mean CV correlation for any of nTimes.

So, the code runs properly, CV correlation for each of the nFolds is calculated, but for each of nTimes CV correlation I'm getting NA. And then of course, at the end of the process mean correlation and standard deviation CVs are NA.

This is a part of the output I'm getting:

cv correlation for fold 48 is: 0.585

cv correlation for fold 49 is: 0.592

cv correlation for fold 50 is: 0.711

                          |****************************************| 100%

Mean CV correlation for time 1 and 50 folds is: NA

This happens only when I use CDmean optimization. When I don't use optimization at all or when I use random optimization, this problem doesn't occur. Also, it occurs whether I use my data set or INRA47 example dataset.

Do you know why this is happening and, perhaps, how to avoid it and get mean correlation and standard deviation CVs in the final output?

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