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Unraveling the genetic framework associated with grain quality and yield-related traits in maize (Zea mays L.)

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Title Unraveling the genetic framework associated with grain quality and yield-related traits in maize (Zea mays L.)
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Creator Mehak Sethi, Dinesh Kumar Saini, Veena Devi, Charanjeet Kaur, Mohini Prabha Singh, Jasneet Singh, Gomsie Pruthi, Amanpreet Kaur, Alla Singh & Dharam Paul Chaudhary
 
Subject maize, yield, quality, meta-QTLs, breeder-friendly, candidate genes
 
Description Not Available
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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Date 2024-03-30T21:05:56Z
2024-03-30T21:05:56Z
2023-08-07
 
Type Research Paper
 
Identifier Sethi M, Saini DK, Devi V, Kaur C, Singh MP, Singh J, Pruthi G, Kaur A, Singh A and Chaudhary DP (2023), Unravelling the genetic framework associated with grain quality and yield related traits in maize (Zea mays L.). Front. Genet. 14:1248697. doi: 10.3389/fgene.2023.1248697
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http://krishi.icar.gov.in/jspui/handle/123456789/81701
 
Language English
 
Relation Not Available;
 
Publisher Frontiers in Genetics