Genome-Wide Association Analysis of Effective Tillers in Rice under Different Nitrogen Gradients.

ABSTRACT: Nitrogen is a crucial element that impacts rice yields, and effective tillering is a significant agronomic characteristic that can influence rice yields. The way that reduced nitrogen affects effective tillering is a complex quantitative trait that is controlled by multiple genes, and its genetic basis requires further exploration. In this study, 469 germplasm varieties were used for a genome-wide association analysis aiming to detect quantitative trait loci (QTL) associated with effective tillering at low (60 kg/hm²) and high (180 kg/hm²) nitrogen levels. QTLs detected over multiple years or under different treatments were scrutinized in this study, and candidate genes were identified through haplotype analysis and spatio-temporal expression patterns. A total of seve

SUBMITTER: Liu Y 

PROVIDER: S-EPMC10932320 | biostudies-literature | 2024 Mar

REPOSITORIES: biostudies-literature