Winter wheat performance data for varieties grown under low input conditions in Switzerland over the period 1990-2023, together with trial site weather data and variety genetic marker data

The dataset contains yield and grain protein content data for varieties of winter wheat (Triticum aestivum L.) grown at different locations in Switzerland in the period 1990-2023. The dataset also includes weather data for the respective locations and years, and SNP (single nucleotide polymorphism) marker data for the respective varieties. The varieties and locations have been anonymized using a code. The dataset has been used to develop yield and protein content prediction models which are published in (doi to be added upon publication). The grain yield and protein content data were collected in the frame of official Swiss winter wheat variety trials that test the varieties for their value for cultivation and use (VCU). The dataset published here is for low input conditions, whereas other conditions such as high input and organic are not included. The multi-environment trials were conducted by AGROSCOPE, the Swiss center of excellence for agricultural research, and took place across the Swiss wheat production zone (from Western to Eastern Switzerland, between 390 and 640 m.a.s.l.) (Herrera et al., 2020). A total of 16 variety trial locations are included in the dataset, with each location being present in 1-34 trial years. The dataset contains yield and protein content data for 98 winter wheat varieties, which are of both Swiss and foreign origin. Each variety was grown in 1-22 years at 8-16 locations. Reference Herrera J.M., Levy Häner L., Mascher F., Hiltbrunner J., Fossati D., Brabant C., Charles R. & Pellet D., 2020. Lessons From 20 Years of Studies of Wheat Genotypes in Multiple Environments and Under Contrasting Production Systems. Frontiers in Plant Science, 10: 1745. doi.org/10.3389/fpls.2019.01745本数据集涵盖1990—2023年间，瑞士不同试验点种植的冬小麦（*Triticum aestivum* L.）品种的籽粒产量与蛋白质含量数据。本数据集同时包含对应试验点与对应年份的气象数据，以及各供试品种的SNP（单核苷酸多态性，single nucleotide polymorphism）标记数据。所有供试品种与试验点均已通过编码完成匿名化处理。本数据集曾用于构建籽粒产量与蛋白质含量预测模型，相关研究成果已发表（出版后将补充DOI编号）。 本数据集的籽粒产量与蛋白质含量数据采集自官方瑞士冬小麦品种栽培与利用价值（VCU）审定试验，该试验旨在评估供试品种的种植与利用价值。本次发布的数据集仅涵盖低投入生产条件下的试验数据，未包含高投入、有机种植等其他生产体系的相关内容。本多环境试验由瑞士农业科研卓越中心AGROSCOPE主导开展，试验覆盖瑞士小麦主产区（从瑞士西部至东部，海拔390—640米）（Herrera等，2020）。本数据集共包含16个品种试验点，每个试验点的参与试验年限为1—34年不等。数据集涵盖98个冬小麦品种的产量与蛋白质含量数据，这些品种既有瑞士本土选育品种，也包含国外引进品种；每个品种在8—16个试验点累计开展试验1—22年。 参考文献 Herrera J.M.、Levy Häner L.、Mascher F.、Hiltbrunner J.、Fossati D.、Brabant C.、Charles R. 与 Pellet D.，2020。多环境与不同生产体系下小麦基因型研究20年的经验总结。Frontiers in Plant Science，10: 1745。doi.org/10.3389/fpls.2019.01745