Abstract: This dataset provides historical phenotypic observations of 12,754 spring and winter wheat accessions (Triticum aestivum L.) gathered during 70 years of seed regeneration on field at the Federal ex situ Genebank of Agricultural and Horticultural Crops hosted by the Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) in Gatersleben (Germany). Characterized by a highly non-orthogonal data structure, the following traits were recorded: (i) flowering time (FT) which corresponds to days after the 1st of January of each year for winter wheat, and days after the sowing date for spring wheat, (ii) plant height (PH) expressed in cm, and (iii) thousand grain weight (TGW) evaluated in g. The dataset also provides information about accession numbers, accession identifiers, sowing date, harvest year and origin country as well as monthly weather records for 63 regeneration years. The dataset and metadata are formatted using the ISA-Tab format (see subfolder /Original_data_ISATab). A previously described quality assessment pipeline has been used to derive outlier corrected data, which serve to compute the Best Linear Unbiased Estimates (BLUEs) allowing for the direct comparison of accessions across regeneration years (see subfolder /Processed_data). Example R-scripts for outlier correction and computation of BLUEs were included (see subfolder /R_scripts).
License: CC BY 4.0 (Creative Commons Attribution)
DOI: 10.5447/ipk/2019/11
| CONTRIBUTOR: | |
| CREATOR: |
Norman Philipp,
Stephan Weise,
Markus Oppermann,
Andreas Börner,
Andreas Graner,
Jens Keilwagen,
Benjamin Kilian,
Daniel Arend,
Yusheng Zhao,
Jochen Reif,
Albert Wilhelm Schulthess
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| PUBLISHER: | e!DAL - Plant Genomics and Phenomics Research Data Repository (PGP), IPK Gatersleben, Seeland OT Gatersleben, Corrensstraße 3, 06466, Germany |
| SIZE: | 0 B |
| SUBJECT: | Wheat, Triticum aestivum, Genebank, Seed regeneration, Historical phenotypic data, Flowering time, Plant height, Thousand grain weight, Weather data, Outlier correction, Best Linear Unbiased Estimators (BLUEs), Bio-digital resource center, ISA-Tab |