Research Insight

The Integration of Genetic Markers in Maize Breeding Programs  

Qiong Chen1 , Qiaohong Ying1 , Kaozu Lei1 , Junmei Zhang2 , Huazhou Liu1
1 Zhejiang Kecheng Seed Industry Co., Ltd, Wenzhou, 325019, Zhejiang, China
2 Agricultural Industry Service Center of Qingyuan County, Lishui, 323899, Zhejiang, China
Author    Correspondence author
Bioscience Methods, 2024, Vol. 15, No. 5   
Received: 22 Jul., 2024    Accepted: 31 Aug., 2024    Published: 20 Sep., 2024
© 2024 BioPublisher Publishing Platform
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.
Abstract

The integration of genetic markers in maize breeding programs has revolutionized the field by enabling precise and efficient selection of desirable traits. This research explores the advancements and applications of molecular breeding techniques, including marker-assisted selection (MAS) and genomic selection (GS), in enhancing maize productivity and resilience. Key developments include the identification and mapping of functional genes related to agronomic traits, the establishment of cost-effective genotyping platforms, and the implementation of innovative breeding schemes. These advancements have facilitated the rapid genetic improvement of maize, particularly in developing regions, by addressing critical challenges such as disease resistance, stress tolerance, and nutritional quality. The research also highlights the importance of genomic tools in understanding complex traits and the potential of integrating these tools with conventional breeding methods to achieve sustainable genetic gains. The collaborative efforts and capacity-building initiatives are crucial for the successful adoption and impact of these technologies in maize breeding programs globally.

Keywords
Marker-Assisted selection (MAS); Genomic selection (GS); Maize breeding; Genetic markers; Molecular breeding
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. Qiong Chen
. Qiaohong Ying
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. Huazhou Liu
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