Scripts used for outlier detection and estimating BLUEs are included together with the dataset in the public repository described below (Data Citation 1).
Open resource ↗pdf-page:4 lines:1-60Unverified paper record
Unbalanced historical phenotypic data from seed regeneration of a barley ex situ collection.
Scientific data · 4 Dec 2018 · 10.1038/sdata.2018.278
Abstract
The scarce knowledge on phenotypic characterization restricts the usage of genetic diversity of plant genetic resources in research and breeding. We describe original and ready-to-use processed data for approximately 60% of ~22,000 barley accessions hosted at the Federal ex situ Genebank for Agricultural and Horticultural Plant Species. The dataset gathers records for three traits with agronomic relevance: flowering time, plant height and thousand grain weight. This information was collected for seven decades for winter and spring barley during the seed regeneration routine. The curated data represent a source for research on genetics and genomics of adaptive and yield related traits in cereals due to the importance of barley as model organism. This data could be used to predict the performance of non-phenotyped individuals in other collections through genomic prediction. Moreover, the dataset empowers the utilization of phenotypic diversity of genetic resources for crop improvement.
Plant phenotyping relevance
大規模な植物表現型データセットの構築・整理と再利用を主題としており、形質測定自体は再生時の routine だが、データセット提供が中心的な貢献である。
abstractWe describe original and ready-to-use processed data for approximately 60% of ~22,000 barley accessions
abstractThe dataset gathers records for three traits with agronomic relevance: flowering time, plant height and thousand grain weight.
Code and data availability
The paper is a data descriptor publishing its own barley phenotypic dataset (FT, PH, TGW; original, outlier-corrected, and BLUEs) in ISA-Tab format at the IPK PGP repository, together with the authors' R/ASReml-R scripts for outlier detection and BLUE estimation, deposited under DOI 10.5447/IPK/2018/10.
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