Meta-QTL analysis for mining of candidate genes and constitutive gene network development for viral disease resistance in maize (Zea mays L.)

Meta-QTL analysis for mining of candidate genes and constitutive gene network development for viral disease resistance in maize (Zea mays L.)

Viral diseases severely impact maize yields, with occurrences of maize viruses reported worldwide. Deployment of genetic resistance in a plant breeding program is a sustainable solution to minimize yield loss to viral diseases. The meta-QTL (MQTL) has demonstrated to be a promising approach to pinpo...

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Bibliographic Details
Main Authors: Mamta Gupta, Mukesh Choudhary, Alla Singh, Seema Sheoran, Harish Kumar, Deepak Singla, Abhishek Bohra, Sujay Rakshit
Format: Article
Language:English
Published: Elsevier 2025-01-01
Series:Heliyon
Subjects:
Virus
Meta-QTL analysis
Candidate gene
Gene network
Metabolic pathways
Constitutive genes
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844024170156
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