Feature Review

Selection of Grapevine Varieties for Wine Production: Advances in Genomic Approaches  

Jianquan Li
Hainan Provincial Key Laboratory of Crop Molecular Breeding, Sanya, 572025, Hainan, China
Author    Correspondence author
Tree Genetics and Molecular Breeding, 2024, Vol. 14, No. 4   
Received: 21 Jul., 2024    Accepted: 23 Aug., 2024    Published: 31 Aug., 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

Grapevines (Vitis vinifera) are among the most economically significant perennial fruit crops globally, primarily used in wine production. Traditional breeding methods, such as phenotypic selection and hybridization, have achieved success in developing regionally adapted grapevine varieties but often require decades and fail to address rapidly changing environmental challenges. This study focuses on the latest advancements in genomic technologies for selecting grapevine varieties suitable for wine production, including genomic selection, marker-assisted selection, and CRISPR/Cas9 gene-editing techniques. The results demonstrate that these approaches enable precise identification of key trait-associated genes and enhance selection efficiency, significantly accelerating the development of disease-resistant, stress-tolerant, and high-quality grapevine varieties. Furthermore, the integration of multi-omics data (e.g., transcriptomics and metabolomics) has improved the understanding of grapevine genomic functions, offering novel solutions to challenges posed by climate change and market demands. This study summarizes the current applications and challenges of genomic technologies and proposes strengthening interdisciplinary collaboration to advance precision agriculture and sustainable viticulture.

Keywords
Grapevine genomics; Wine grape varieties; Marker-assisted selection; Genomic selection; Gene editing; Precision agriculture
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