Kaiwen Liang

Comprehensive Utilization Center, Hainan Institute of Tropical Agricultural Resouces, Sanya, 572025, Hainan, China
Author    Correspondence author
Cotton Genomics and Genetics, 2025, Vol. 16, No. 4   
Received: 18 Jun., 2025    Accepted: 29 Jul., 2025    Published: 21 Aug., 2025

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.

The rapid advancement of cotton genomics and breeding technologies has heightened the need for an integrated, scalable, and efficient digital platform. In this study, we constructed a cloud-based genome database and developed a comprehensive cotton breeding information platform to address data integration, standardization, and secure management of large-scale breeding and genomic datasets. Leveraging cloud computing infrastructure, we designed a modular architecture comprising data acquisition pipelines, core functional modules, and user-friendly interfaces to support breeding decision-making. A case study on the implementation of a national cotton genomics platform demonstrated the system’s effectiveness in enhancing data accessibility, real-time analysis, and collaborative breeding efforts. This research highlights the benefits of cloud platforms in supporting open science, accelerating breeding efficiency, and enabling data-driven decision-making. Future development will focus on integrating artificial intelligence, enhancing global interoperability, and strengthening policy and capacity-building frameworks to ensure sustainable use of the platform.

Cotton breeding; Cloud genome database; Data integration; Digital platform; Genomic information system