Cargando…
Identification of quantitative trait nucleotides and candidate genes for soybean seed weight by multiple models of genome-wide association study
BACKGROUND: Seed weight is a complex yield-related trait with a lot of quantitative trait loci (QTL) reported through linkage mapping studies. Integration of QTL from linkage mapping into breeding program is challenging due to numerous limitations, therefore, Genome-wide association study (GWAS) pro...
Autores principales: | Karikari, Benjamin, Wang, Zili, Zhou, Yilan, Yan, Wenliang, Feng, Jianying, Zhao, Tuanjie |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7466808/ https://www.ncbi.nlm.nih.gov/pubmed/32873245 http://dx.doi.org/10.1186/s12870-020-02604-z |
Ejemplares similares
-
Utilization of Interspecific High-Density Genetic Map of RIL Population for the QTL Detection and Candidate Gene Mining for 100-Seed Weight in Soybean
por: Karikari, Benjamin, et al.
Publicado: (2019) -
Identification of Major Quantitative Trait Loci for Seed Oil Content in Soybeans by Combining Linkage and Genome-Wide Association Mapping
por: Cao, Yongce, et al.
Publicado: (2017) -
Genome-Wide Association Study to Map Genomic Regions Related to the Initiation Time of Four Growth Stage Traits in Soybean
por: Yan, Wenliang, et al.
Publicado: (2021) -
Identification of major quantitative trait loci and candidate genes for seed weight in soybean
por: Xu, Mengge, et al.
Publicado: (2023) -
Identification and Validation of Major QTLs, Epistatic Interactions, and Candidate Genes for Soybean Seed Shape and Weight Using Two Related RIL Populations
por: Elattar, Mahmoud A., et al.
Publicado: (2021)