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Table · dataset · 2026

Supplementary file 2_Genome-wide association study and genomic prediction of root system architecture in a diverse field-grown maize panel.docx

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<p>Root system architecture (RSA) plays a pivotal role in nutrient acquisition, water uptake, lodging resistance, and environmental adaptation in maize (Zea mays L.).

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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.

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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>

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