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Knit directory: Genetic-diversity-and-interaction-between-the-maintainers-of-commercial-Soybean-cultivars-using-self/

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Rmd 2b46fda WevertonGomesCosta 2022-06-20 Start workflowr project.

About this Project

This repository accompanies the article:

Costa, W.G., et al. (2025). Genetic diversity and interaction between the maintainers of commercial Soybean cultivars using selfing. Crop Science.
DOI: 10.1002/csc2.20816

The project provides a fully reproducible workflow implemented in R, combining:

All scripts, data, and outputs are organized to ensure transparency, reproducibility, and open science.

Institutional Context

👉 This project is part of the activities of the LICAE (Laboratory of Computational Intelligence and Statistical Learning) at UFV, in collaboration with EMBRAPA and partner institutions.

The LICAE specializes in computational intelligence, machine learning, and statistical modeling applied to complex problems in agronomy, genetics, and biological sciences.

Author

Weverton Gomes da Costa
- Postdoctoral Researcher, Department of Statistics – Federal University of Viçosa (UFV)
- LinkedIn
- ORCID
- Lattes
- Google Scholar
- GitHub

License

This project is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
See the LICENSE file for details.

Sobre este Projeto (PT-BR)

Este repositório acompanha o artigo:

Costa, W.G., et al. (2025). Diversidade genética e interação entre os mantenedores de cultivares comerciais de soja utilizando autofecundação. Crop Science.
DOI: 10.1002/csc2.20816

O projeto disponibiliza um workflow totalmente reprodutível em R, combinando:

Contexto Institucional

👉 Este projeto integra as atividades do LICAE (Laboratório de Inteligência Computacional e Aprendizado Estatístico) da UFV, em colaboração com a EMBRAPA e instituições parceiras.

O LICAE é especializado em inteligência computacional, aprendizado de máquina e modelagem estatística aplicados a problemas complexos em agronomia, genética e ciências biológicas.

Autor

Weverton Gomes da Costa
- Pós-Doutorando, Departamento de Estatística – Universidade Federal de Viçosa (UFV)
- LinkedIn
- ORCID
- Lattes
- Google Scholar
- GitHub

Licença

Este projeto está licenciado sob a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Consulte o arquivo LICENSE para mais detalhes.


sessionInfo()
R version 4.5.1 (2025-06-13 ucrt)
Platform: x86_64-w64-mingw32/x64
Running under: Windows 11 x64 (build 26100)

Matrix products: default
  LAPACK version 3.12.1

locale:
[1] LC_COLLATE=Portuguese_Brazil.utf8  LC_CTYPE=Portuguese_Brazil.utf8   
[3] LC_MONETARY=Portuguese_Brazil.utf8 LC_NUMERIC=C                      
[5] LC_TIME=Portuguese_Brazil.utf8    

time zone: America/Sao_Paulo
tzcode source: internal

attached base packages:
[1] stats     graphics  grDevices utils     datasets  methods   base     

loaded via a namespace (and not attached):
 [1] vctrs_0.6.5       cli_3.6.5         knitr_1.50        rlang_1.1.6      
 [5] xfun_0.53         stringi_1.8.7     promises_1.3.3    jsonlite_2.0.0   
 [9] workflowr_1.7.2   glue_1.8.0        rprojroot_2.1.1   git2r_0.36.2     
[13] htmltools_0.5.8.1 httpuv_1.6.16     sass_0.4.10       rmarkdown_2.29   
[17] evaluate_1.0.5    jquerylib_0.1.4   tibble_3.3.0      fastmap_1.2.0    
[21] yaml_2.3.10       lifecycle_1.0.4   whisker_0.4.1     stringr_1.5.2    
[25] compiler_4.5.1    fs_1.6.6          Rcpp_1.1.0        pkgconfig_2.0.3  
[29] rstudioapi_0.17.1 later_1.4.4       digest_0.6.37     R6_2.6.1         
[33] pillar_1.11.1     magrittr_2.0.4    bslib_0.9.0       tools_4.5.1      
[37] cachem_1.1.0

  1. Weverton Gomes da Costa, Doutorando, Pós-Graduação em Genética e Melhoramento - Universidade Federal de Viçosa, ↩︎