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Unbalanced historical phenotypic data from seed regeneration of a barley ex situ collection
by
Graner, Andreas
, Reif, Jochen C
, Norman, Philipp
, Zhao, Yusheng
, Gonzalez, Maria Y
, Schulthess, Albert W
, Börner, Andreas
, Oppermann, Markus
, Arend, Daniel
, Weise, Stephan
in
Barley
/ Cereals
/ Crop improvement
/ Data collection
/ Flowering
/ Genetic diversity
/ Genetic resources
/ Genomics
/ Hordeum vulgare
/ Metadata
2018
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Unbalanced historical phenotypic data from seed regeneration of a barley ex situ collection
by
Graner, Andreas
, Reif, Jochen C
, Norman, Philipp
, Zhao, Yusheng
, Gonzalez, Maria Y
, Schulthess, Albert W
, Börner, Andreas
, Oppermann, Markus
, Arend, Daniel
, Weise, Stephan
in
Barley
/ Cereals
/ Crop improvement
/ Data collection
/ Flowering
/ Genetic diversity
/ Genetic resources
/ Genomics
/ Hordeum vulgare
/ Metadata
2018
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While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Unbalanced historical phenotypic data from seed regeneration of a barley ex situ collection
by
Graner, Andreas
, Reif, Jochen C
, Norman, Philipp
, Zhao, Yusheng
, Gonzalez, Maria Y
, Schulthess, Albert W
, Börner, Andreas
, Oppermann, Markus
, Arend, Daniel
, Weise, Stephan
in
Barley
/ Cereals
/ Crop improvement
/ Data collection
/ Flowering
/ Genetic diversity
/ Genetic resources
/ Genomics
/ Hordeum vulgare
/ Metadata
2018
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Unbalanced historical phenotypic data from seed regeneration of a barley ex situ collection
Journal Article
Unbalanced historical phenotypic data from seed regeneration of a barley ex situ collection
2018
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Overview
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.
Publisher
Nature Publishing Group
Subject
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