2026-10-12T11:56:10Z https://api.figshare.com/v2/oai

oai:figshare.com:article/33772171 2026-09-15T05:41:34Z category_133 portal_316 item_type_3 month_year_09_2026

Supplementary file 2_Genome-wide association study and genomic prediction of root system architecture in a diverse field-grown maize panel.docx Huairen Zhang (4017089) Zhigang Liu (265354) Juan Li (146180) Juan Liu (6492) Jie Zang (728519) Xiaorong Li (66719) Guo Chen (182090) Bo Li (112195) Zhijie Yu (36037) Zumuremu Tursun (24912868) Huabang Chen (277000) Darun Cai (4093729) Xunji Chen (14667662) Plant Biology maize root system architecture genome-wide association study QTN-by-environment interaction genomic selectione candidate gene <p>Root system architecture (RSA) plays a pivotal role in nutrient acquisition, water uptake, lodging resistance, and environmental adaptation in maize (Zea mays L.). However, the genetic basis of RSA at the mature stage under field conditions remains poorly characterized, primarily owing to the challenges of high-throughput phenotyping. In this study, RSA-related traits were evaluated in a diverse maize association panel across four field environments using Shovelomics combined with manual measurements. Genome-wide association analysis (GWAS) was performed using the BLINK and 3VmrMLM models, identifying four main-effect loci consistently detected by both methods and three additional loci exhibiting significant QTN-by-environment interactions (QEIs).Notably, SNP AX-90556586 on chromosome 9 was consistently associated with nodal and crown root number across environments. Its candidate gene encodes a leucine-rich repeat receptor-like serine/threonine-protein kinase with similarity to BRI1/SOBIR1-like proteins, implicating hormone-mediated root development. Genomic prediction revealed that marker subsets enriched for significant loci enhanced within-population prediction, whereas genome-wide markers better captured the polygenic architecture required for robust cross-population prediction. These findings provide insights into the genetic architecture and environmental responsiveness of maize RSA and offer genomic resources for improving root traits in breeding programs.</p> 2026-09-15T05:41:34Z Dataset Dataset 10.3389/fpls.2026.1918922.s002 https://figshare.com/articles/dataset/Supplementary_file_2_Genome-wide_association_study_and_genomic_prediction_of_root_system_architecture_in_a_diverse_field-grown_maize_panel_docx/33772171 CC BY 4.0