Back to search

Article

Multi-Trait Meta-QTL Analysis Reveals Genomic Hotspot Classes for Strategic Maize Improvement

2026-06-10

Abstract excerpt

<h4>Background</h4> Decades of maize (Zea mays L.) QTL mapping have produced fragmented results across hundreds of independent studies, characterized by broad confidence intervals, population-specific effects, and a predominantly single-trait analytical scope. Comprehensive multi-trait integration remains limited, yet it could substantially improve our understanding of trait relationships for strategic breeding....

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
e4c6b62c-f2bf-5ed2-91b2-de008d6d109a
DOI
10.64898/2026.06.06.730627
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Multi-Trait Meta-QTL Analysis Reveals Genomic Hotspot Classes for Strategic Maize ImprovementDOI 10.64898/2026.06.06.730627
Select a neighboring publication to make it the new centre.