Unbalanced historical phenotypic data from seed regeneration of a barley ex situ collection
Autor: | Andreas Börner, Jochen C. Reif, Norman Philipp, Stephan Weise, Yusheng Zhao, Albert W. Schulthess, Daniel Arend, Maria Y. Gonzalez, Markus Oppermann, Andreas Graner |
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Jazyk: | angličtina |
Rok vydání: | 2018 |
Předmět: |
0301 basic medicine
Statistics and Probability Agricultural genetics Data Descriptor Population Genomics Biology Library and Information Sciences Plant breeding Education Crop 03 medical and health sciences Genetic variation Regeneration (ecology) education education.field_of_study Genetic diversity business.industry food and beverages Genetic Variation Hordeum Phenotype Biotechnology Computer Science Applications 030104 developmental biology Biological Variation Population Agriculture Seeds Statistics Probability and Uncertainty business Plant sciences Information Systems |
Zdroj: | Scientific Data |
ISSN: | 2052-4463 |
Popis: | 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. |
Databáze: | OpenAIRE |
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