New insights into QTNs and potential candidate genes governing rice yield via a multi-model genome-wide association study

New insights into QTNs and potential candidate genes governing rice yield via a multi-model genome-wide association study

Abstract Background Rice (Oryza sativa L.) is one of the globally important staple food crops, and yield-related traits are prerequisites for improved breeding efficiency in rice. Here, we used six different genome-wide association study (GWAS) models for 198 accessions, with 553,229 single nucleoti...

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Bibliographic Details
Main Authors: Supriya Sachdeva, Rakesh Singh, Avantika Maurya, Vikas K Singh, Uma Maheshwar Singh, Arvind Kumar, Gyanendra Pratap Singh
Format: Article
Language:English
Published: BMC 2024-02-01
Series:BMC Plant Biology
Subjects:
Multi-model GWAS
Quantitative trait nucleotides
Superior alleles
Yield
Ontology
Enrichment analysis
Online Access:https://doi.org/10.1186/s12870-024-04810-5

Internet

https://doi.org/10.1186/s12870-024-04810-5

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