Review and Progress

Key Bottlenecks and Breakthrough Strategies in Modern Durian Breeding: From Hybridization to Precision Genomic Selection  

Mengting Luo 1,2 , Zhonggang  Li 1
1 Cuixi Academy of Biotechnology, Zhuji, 311800, Zhejiang, China
2 Hainan Institute of Tropical Agricultural Resources, Sanya, 572000, Hainan, China
Author    Correspondence author
Bioscience Methods, 2025, Vol. 16, No. 2   doi: 10.5376/bm.2025.16.0010
Received: 09 Mar., 2025    Accepted: 18 Apr., 2025    Published: 29 Apr., 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.
Preferred citation for this article:

Zhang X.Z., and Lin X.F., 2025, Single-cell multi-omics analysis of epigenetic and transcriptional regulatory mechanisms of goat skeletal muscle development, Bioscience Methods, 16(2): 100-107 (doi: 10.5376/bm.2025.16.0010)

Abstract

The breeding of durian (Durio zibethinus L.) faces many challenges, including limited genetic diversity and sensitivity to environmental changes. This study summarized the key bottlenecks encountered in durian breeding, and discussed the breakthrough strategies to improve the efficiency of durian breeding. In recent years, the development of genome selection, marker-assisted breeding and CRISPR gene editing technology has provided new opportunities to accelerate durian breeding. Agronomic management strategies to optimize durian production, such as soil nutrient regulation, water-saving irrigation techniques and integrated pest control, were also explored. The successful practice of genomic tools in durian breeding was illustrated through case studies in Thailand and Malaysia. In the future, we need to further promote precision breeding technology, improve regulatory policies, strengthen international cooperation, and further promote the sustainable development of the durian industry.

Keywords
Durian breeding; Genomic selection; CRISPR gene editing; Marker-assisted breeding; Agronomic management
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