Meta Analysis

Meta-analysis of Design Breeding Approaches in Rice: Lessons and Future Directions  

Ruchun  Chen , Deshan  Huang , Jianquan Li
Institute of Life Sciences, Jiyang College of Zhejiang A&F University, Zhuji, 311800, Zhejiang, China
Author    Correspondence author
Rice Genomics and Genetics, 2025, Vol. 16, No. 1   
Received: 05 Dec., 2024    Accepted: 15 Jan., 2025    Published: 30 Jan., 2025
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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.
Abstract

This study reviews the effectiveness of various rice designed breeding methods, including traditional breeding techniques, marker-assisted selection (MAS), and genome editing (CRISPR-Cas), by collecting data from numerous studies and using statistical tools to evaluate the performance of each breeding method from different indicators, including yield improvement, genetic gain, and cost-effectiveness. Comparative analysis showed that molecular breeding methods, although initially costly, have higher efficiency and better adaptability in different agro-ecological zones compared with traditional methods. Challenges such as limited genetic diversity, technical complexity, and economic constraints were identified as major barriers to the widespread adoption of advanced breeding technologies. A case study highlights the successful implementation of designed breeding in a specific region, providing valuable insights for expanding these strategies. This study highlights the need to integrate multi-omics data and use artificial intelligence to optimize breeding precision and efficiency, and proposes recommendations for policy support and investment in advanced breeding technologies to increase rice yields and ensure global food security.

Keywords
Rice breeding; Meta-analysis; Conventional breeding; Marker-assisted selection; Genome editing
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