ArticleFrontiers in genetics2023
Unravelling the genetic framework associated with grain quality and yield-related traits in maize (
Article in Frontiers in genetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 8 papers, 1 of them a synthesis that pooled it.
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Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Meta-Quantitative Trait Loci Analysis and Candidate Gene Mining for Drought Tolerance-Associated Traits in Maize (International journal of molecular sciences · 2024Pooled it
- From development to yield: genetic and molecular regulation of agronomic traits in maize seeds.Frontiers in plant science · 2026Review
- Harnessing the Agronomic Potential, Nutritional Value, and Food Applications of Creole Maize to Promote Food Sovereignty in Latin America.Plant foods for human nutrition (Dordrecht, Netherlands) · 2025Review
- Genetic Architecture and Meta-QTL Identification of Yield Traits in Maize (Plants (Basel, Switzerland) · 2025Article
- Dissecting the genetic architecture of polygenic nutritional traits in maize through meta-QTL analysis.Food chemistry. Molecular sciences · 2025Article
- Candidate Gene for Kernel-Related Traits in Maize Revealed by a Combination of GWAS and Meta-QTL Analyses.Plants (Basel, Switzerland) · 2025Article
- Biofortification of baby corn: Integrating agronomic and genetic approaches to address zinc micronutrient deficiencies - global perspectives and future challenges.Frontiers in plant science · 2025Review
- Mining candidate genes for maize plant height based on a GWAS, Meta-QTL, and WGCNA.Frontiers in plant science · 2025Article
Corrections and comments
- Erratum issued
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Maize serves as a crucial nutrient reservoir for a significant portion of the global population. However, to effectively address the growing world population's hidden hunger, it is essential to focus on two key aspects: biofortification of maize and improving its yield potential through advanced breeding techniques. Moreover, the coordination of multiple targets within a single breeding program poses a complex challenge. This study compiled mapping studies conducted over the past decade, identifying quantitative trait loci associated with grain quality and yield related traits in maize. Meta-QTL analysis of 2,974 QTLs for 169 component traits (associated with quality and yield related traits) revealed 68 MQTLs across different genetic backgrounds and environments. Most of these MQTLs were further validated using the data from genome-wide association studies (GWAS). Further, ten MQTLs, referred to as breeding-friendly MQTLs (BF-MQTLs), with a significant phenotypic variation explained over 10% and confidence interval less than 2 Mb, were shortlisted. BF-MQTLs were further used to identify potential candidate genes, including 59 genes encoding important proteins/products involved in essential metabolic pathways. Five BF-MQTLs associated with both quality and yield traits were also recommended to be utilized in future breeding programs. Synteny analysis with wheat and rice genomes revealed conserved regions across the genomes, indicating these hotspot regions as validated targets for developing biofortified, high-yielding maize varieties in future breeding programs. After validation, the identified candidate genes can also be utilized to effectively model the plant architecture and enhance desirable quality traits through various approaches such as marker-assisted breeding, genetic engineering, and genome editing.
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