Model training across multiple breeding cycles significantly improves genomic prediction accuracy in rye (Secale cereale L.)

Model training across multiple breeding cycles significantly improves genomic prediction accuracy in rye (Secale cereale L.)

Bibliographic Details
Main Authors: Auinger, Hans-Jürgen, Schönleben, Manfred, Lehermeier, Christina, Schmidt, Malthe, Korzun, Viktor, Geiger, Hartwig H., Piepho, Hans-Peter, Gordillo, Andres, Wilde, Peer, Bauer, Eva, Schön, Chris-Carolin
Format: Online
Language:English
Published: Springer Berlin Heidelberg 2016
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5069347/
id pubmed-5069347
recordtype oai_dc
spelling pubmed-50693472016-11-02 Model training across multiple breeding cycles significantly improves genomic prediction accuracy in rye (Secale cereale L.) Auinger, Hans-Jürgen Schönleben, Manfred Lehermeier, Christina Schmidt, Malthe Korzun, Viktor Geiger, Hartwig H. Piepho, Hans-Peter Gordillo, Andres Wilde, Peer Bauer, Eva Schön, Chris-Carolin Original Article Springer Berlin Heidelberg 2016-08-01 2016 /pmc/articles/PMC5069347/ /pubmed/27480157 http://dx.doi.org/10.1007/s00122-016-2756-5 Text en © The Author(s) 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
repository_type Open Access Journal
institution_category Foreign Institution
institution US National Center for Biotechnology Information
building NCBI PubMed
collection Online Access
language English
format Online
author Auinger, Hans-Jürgen
Schönleben, Manfred
Lehermeier, Christina
Schmidt, Malthe
Korzun, Viktor
Geiger, Hartwig H.
Piepho, Hans-Peter
Gordillo, Andres
Wilde, Peer
Bauer, Eva
Schön, Chris-Carolin
spellingShingle Auinger, Hans-Jürgen
Schönleben, Manfred
Lehermeier, Christina
Schmidt, Malthe
Korzun, Viktor
Geiger, Hartwig H.
Piepho, Hans-Peter
Gordillo, Andres
Wilde, Peer
Bauer, Eva
Schön, Chris-Carolin
Model training across multiple breeding cycles significantly improves genomic prediction accuracy in rye (Secale cereale L.)
author_facet Auinger, Hans-Jürgen
Schönleben, Manfred
Lehermeier, Christina
Schmidt, Malthe
Korzun, Viktor
Geiger, Hartwig H.
Piepho, Hans-Peter
Gordillo, Andres
Wilde, Peer
Bauer, Eva
Schön, Chris-Carolin
author_sort Auinger, Hans-Jürgen
title Model training across multiple breeding cycles significantly improves genomic prediction accuracy in rye (Secale cereale L.)
title_short Model training across multiple breeding cycles significantly improves genomic prediction accuracy in rye (Secale cereale L.)
title_full Model training across multiple breeding cycles significantly improves genomic prediction accuracy in rye (Secale cereale L.)
title_fullStr Model training across multiple breeding cycles significantly improves genomic prediction accuracy in rye (Secale cereale L.)
title_full_unstemmed Model training across multiple breeding cycles significantly improves genomic prediction accuracy in rye (Secale cereale L.)
title_sort model training across multiple breeding cycles significantly improves genomic prediction accuracy in rye (secale cereale l.)
description
publisher Springer Berlin Heidelberg
publishDate 2016
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5069347/
_version_ 1613688461775077376

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