Yang Feng, Liu Zhongqiang, Wang Yuxi, Wang Xiaofeng, Zhang Qiusi, Han Yanyun, Zhao Xiangyu, Pan Shouhui, Yang Shuo, Wang Shufeng, Zhang Qi, Qiu Jun, Wang Kaiyi
Information Technology Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China.
National Agro-Tech Extension and Service Center, Beijing, China.
Front Plant Sci. 2023 Jan 24;14:1077196. doi: 10.3389/fpls.2023.1077196. eCollection 2023.
Variety testing is an indispensable and essential step in the process of creating new improved varieties from breeding to adoption. The performance of the varieties can be compared and evaluated based on multi-trait data from multi-location variety tests in multiple years. Although high-throughput phenotypic platforms have been used for observing some specific traits, manual phenotyping is still widely used. The efficient management of large amounts of data is still a significant problem for crop variety testing. This study reports a variety test platform (VTP) that was created to manage the whole workflow for the standardization and data quality improvement of crop variety testing. Through the VTP, the phenotype data of varieties can be integrated and reused based on standardized data elements and datasets. Moreover, the information support and automated functions for the whole testing workflow help users conduct tests efficiently through a series of functions such as test design, data acquisition and processing, and statistical analyses. The VTP has been applied to regional variety tests covering more than seven thousand locations across the whole country, and then a standardized and authoritative phenotypic database covering five crops has been generated. In addition, the VTP can be deployed on either privately or publicly available high-performance computing nodes so that test management and data analysis can be conveniently done using a web-based interface or mobile application. In this way, the system can provide variety test management services to more small and medium-sized breeding organizations, and ensures the mutual independence and security of test data. The application of VTP shows that the platform can make variety testing more efficient and can be used to generate a reliable database suitable for meta-analysis in multi-omics breeding and variety development projects.
品种测试是从育种到推广过程中不可或缺的关键步骤。可以基于多年多点品种测试的多性状数据对品种的表现进行比较和评估。尽管高通量表型平台已用于观察某些特定性状，但人工表型分析仍被广泛使用。对大量数据进行有效管理仍是作物品种测试中的一个重大问题。本研究报告了一个品种测试平台（VTP），其创建目的是管理作物品种测试标准化和数据质量提升的整个工作流程。通过VTP，品种的表型数据可以基于标准化数据元素和数据集进行整合和重复使用。此外，整个测试工作流程的信息支持和自动化功能通过测试设计、数据采集与处理以及统计分析等一系列功能，帮助用户高效地进行测试。VTP已应用于覆盖全国七千多个地点的区域品种测试，进而生成了一个涵盖五种作物的标准化且权威的表型数据库。此外，VTP可以部署在私有或公共可用的高性能计算节点上，以便通过基于网络的界面或移动应用方便地进行测试管理和数据分析。通过这种方式，该系统可以为更多中小型育种组织提供品种测试管理服务，并确保测试数据的相互独立性和安全性。VTP的应用表明，该平台可以提高品种测试效率，并可用于生成适用于多组学育种和品种开发项目荟萃分析的可靠数据库。
