Review Article

Developing Durable Resistance to Wheat Diseases: Integration of Molecular Breeding Techniques  

Wei Wang
Institute of Life Science, Jiyang College of Zhejiang A&F University, Zhuji, 311800, Zhejiang, China
Author    Correspondence author
Molecular Pathogens, 2024, Vol. 15, No. 3   doi: 10.5376/mp.2024.15.0011
Received: 28 Feb., 2024    Accepted: 15 Apr., 2024    Published: 05 May, 2024
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This is an open access article published under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Preferred citation for this article:

Wang W., 2024, Developing durable resistance to wheat diseases: integration of molecular breeding techniques, Molecular Pathogens, 15(3): 106-118 (doi: 10.5376/mp.2024.15.0011)

Abstract

Wheat production is critically threatened by various diseases, necessitating the development of cultivars with durable resistance. This study explores the integration of molecular breeding techniques to enhance disease resistance in wheat. Advances in genetic breeding methods, including transgenic breeding, molecular marker-assisted selection, gene pyramiding, gene silencing, and gene editing, have significantly contributed to the development of wheat cultivars with multiple resistance traits. The continuous emergence of new pathogen races, particularly rust pathogens, underscores the need for innovative strategies combining genomic selection, genome editing, and phenotypic evaluations to develop high-quality, resistant wheat varieties. Additionally, the impact of climate change on disease prevalence necessitates the breeding of wheat varieties with multi-disease resistance that remains effective under varying environmental conditions. This study highlights the importance of integrating modern genomic tools and traditional breeding approaches to achieve sustainable wheat production with enhanced disease resistance.

Keywords
Molecular breeding; Disease resistance; Wheat cultivars; Genomic selection; Climate resilience
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