Machine-Learning-Based Genome-Wide Association Studies for Uncovering QTL Underlying Soybean Yield and Its Components

A genome-wide association study (GWAS) is currently one of the most recommended approaches for discovering marker-trait associations (MTAs) for complex traits in plant species. Insufficient statistical power is a limiting factor, especially in narrow genetic basis species, that conventional GWAS met...

Descripción completa

Detalles Bibliográficos
Autores principales: Yoosefzadeh-Najafabadi, Mohsen, Eskandari, Milad, Torabi, Sepideh, Torkamaneh, Davoud, Tulpan, Dan, Rajcan, Istvan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9141736/
https://www.ncbi.nlm.nih.gov/pubmed/35628351
http://dx.doi.org/10.3390/ijms23105538

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9141736/
https://www.ncbi.nlm.nih.gov/pubmed/35628351
http://dx.doi.org/10.3390/ijms23105538

Ejemplares similares