Evidence map›Paper›PMID 42865657›Full record

ArticleFrontiers in plant science2026

Spatiotemporal stability of DUS characteristics in maize and evaluation of spatial replication testing models.

Xiongfei Jiao, Jin Yu, Xiaofan Shi, Yufeng Wang, Jiaying Li, Leyong Feng, Zhi Zhang, Ruixi Han, Han Zhang

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Article in Frontiers in plant science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

9 authors.

Xiongfei JiaoMaize Research Institute, Shanxi Agricultural University, Xinzhou, China.
Jin YuMaize Research Institute, Shanxi Agricultural University, Xinzhou, China.
Xiaofan ShiMaize Research Institute, Shanxi Agricultural University, Xinzhou, China.
Yufeng WangMaize Research Institute, Shanxi Agricultural University, Xinzhou, China.
Jiaying LiMaize Research Institute, Shanxi Agricultural University, Xinzhou, China.
Leyong FengMaize Research Institute, Shanxi Agricultural University, Xinzhou, China.
Zhi ZhangShanxi Agricultural University, High Latitude Crops Instituteto Shanxi Academy, Datong, China.
Ruixi HanDivision of New Plant Variety Testing, Development Center of Science and Technology, Beijing, China.
Han ZhangCrop Research Institute, Shandong Academy of Agricultural Sciences, Jinan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Distinctness, uniformity, and stability (DUS) testing is the statutory basis and core element for the protection and registration of new plant varieties. In this study, 116 genetically diverse maize accessions (inbred lines, CS hybrids, CH) were evaluated using phenotypic data from Xinzhou and Datong (2024-2025). The spatiotemporal stability of 39 DUS characteristics was systematically analyzed using coefficient of variation (CV), principal component analysis (PCA), and UPGMA clustering. The results showed the following: (1) characteristics were categorized into three stability groups based on CV quantitative analysis, with 20 characteristics identified as spatiotemporally stable to serve as a routine observation baseline, while C2, C25, and C30.2 were recognized as time-sensitive characteristic. (2) PCA indicated that the spatial environment primarily controlled phenotypic variation (cumulative variance contribution: 74.92%). An optimized evaluation system using seven core characteristics, including plant height and grain type, was established to simplify the DUS testing process. (3) Validation showed that the spatial repetition model achieved a cluster retrieval (CR) rate of 92.31%, with accuracies of 94.36% for distinctness and 96.23% for uniformity. These values significantly exceeded those of the traditional temporal model, effectively reducing the impact of environmental noise and annual climatic variation. This study established an efficient spatial repetition testing paradigm based on characteristic stability and demonstrated the scientific feasibility of reasonably shortening testing cycles, thereby providing a rigorous scientific foundation for optimizing Chinese maize DUS testing standards and enhancing the efficiency of substantive examinations.

Indexed as

core characteristicDUS testingmaizespatial replication modespatio-temporal stability

Identifiers

PMID42865657
PMCPMC13655061

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