Cargando…

Simultaneous selection for grain yield and protein content in genomics-assisted wheat breeding

KEY MESSAGE: Large genetic improvement can be achieved by simultaneous genomic selection for grain yield and protein content when combining different breeding strategies in the form of selection indices. ABSTRACT: Genomic selection has been implemented in many national and international breeding pro...

Descripción completa

Detalles Bibliográficos
Autores principales: Michel, Sebastian, Löschenberger, Franziska, Ametz, Christian, Pachler, Bernadette, Sparry, Ellen, Bürstmayr, Hermann
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6531418/
https://www.ncbi.nlm.nih.gov/pubmed/30810763
http://dx.doi.org/10.1007/s00122-019-03312-5
_version_ 1783420826352091136
author Michel, Sebastian
Löschenberger, Franziska
Ametz, Christian
Pachler, Bernadette
Sparry, Ellen
Bürstmayr, Hermann
author_facet Michel, Sebastian
Löschenberger, Franziska
Ametz, Christian
Pachler, Bernadette
Sparry, Ellen
Bürstmayr, Hermann
author_sort Michel, Sebastian
collection PubMed
description KEY MESSAGE: Large genetic improvement can be achieved by simultaneous genomic selection for grain yield and protein content when combining different breeding strategies in the form of selection indices. ABSTRACT: Genomic selection has been implemented in many national and international breeding programmes in recent years. Numerous studies have shown the potential of this new breeding tool; few have, however, taken the simultaneous selection for multiple traits into account that is though common practice in breeding programmes. The simultaneous improvement in grain yield and protein content is thereby a major challenge in wheat breeding due to a severe negative trade-off. Accordingly, the potential and limits of multi-trait selection for this particular trait complex utilizing the vast phenotypic and genomic data collected in an applied wheat breeding programme were investigated in this study. Two breeding strategies based on various genomic-selection indices were compared, which (1) aimed to select high-protein genotypes with acceptable yield potential and (2) develop high-yielding varieties, while maintaining protein content. The prediction accuracy of preliminary yield trials could be strongly improved when combining phenotypic and genomic information in a genomics-assisted selection approach, which surpassed both genomics-based and classical phenotypic selection methods both for single trait predictions and in genomic index selection across years. The employed genomic selection indices mitigated furthermore the negative trade-off between grain yield and protein content leading to a substantial selection response for protein yield, i.e. total seed nitrogen content, which suggested that it is feasible to develop varieties that combine a superior yield potential with comparably high protein content, thus utilizing available nitrogen resources more efficiently. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00122-019-03312-5) contains supplementary material, which is available to authorized users.
format Online
Article
Text
id pubmed-6531418
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher Springer Berlin Heidelberg
record_format MEDLINE/PubMed
spelling pubmed-65314182019-06-07 Simultaneous selection for grain yield and protein content in genomics-assisted wheat breeding Michel, Sebastian Löschenberger, Franziska Ametz, Christian Pachler, Bernadette Sparry, Ellen Bürstmayr, Hermann Theor Appl Genet Original Article KEY MESSAGE: Large genetic improvement can be achieved by simultaneous genomic selection for grain yield and protein content when combining different breeding strategies in the form of selection indices. ABSTRACT: Genomic selection has been implemented in many national and international breeding programmes in recent years. Numerous studies have shown the potential of this new breeding tool; few have, however, taken the simultaneous selection for multiple traits into account that is though common practice in breeding programmes. The simultaneous improvement in grain yield and protein content is thereby a major challenge in wheat breeding due to a severe negative trade-off. Accordingly, the potential and limits of multi-trait selection for this particular trait complex utilizing the vast phenotypic and genomic data collected in an applied wheat breeding programme were investigated in this study. Two breeding strategies based on various genomic-selection indices were compared, which (1) aimed to select high-protein genotypes with acceptable yield potential and (2) develop high-yielding varieties, while maintaining protein content. The prediction accuracy of preliminary yield trials could be strongly improved when combining phenotypic and genomic information in a genomics-assisted selection approach, which surpassed both genomics-based and classical phenotypic selection methods both for single trait predictions and in genomic index selection across years. The employed genomic selection indices mitigated furthermore the negative trade-off between grain yield and protein content leading to a substantial selection response for protein yield, i.e. total seed nitrogen content, which suggested that it is feasible to develop varieties that combine a superior yield potential with comparably high protein content, thus utilizing available nitrogen resources more efficiently. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00122-019-03312-5) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2019-02-27 2019 /pmc/articles/PMC6531418/ /pubmed/30810763 http://dx.doi.org/10.1007/s00122-019-03312-5 Text en © The Author(s) 2019 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.
spellingShingle Original Article
Michel, Sebastian
Löschenberger, Franziska
Ametz, Christian
Pachler, Bernadette
Sparry, Ellen
Bürstmayr, Hermann
Simultaneous selection for grain yield and protein content in genomics-assisted wheat breeding
title Simultaneous selection for grain yield and protein content in genomics-assisted wheat breeding
title_full Simultaneous selection for grain yield and protein content in genomics-assisted wheat breeding
title_fullStr Simultaneous selection for grain yield and protein content in genomics-assisted wheat breeding
title_full_unstemmed Simultaneous selection for grain yield and protein content in genomics-assisted wheat breeding
title_short Simultaneous selection for grain yield and protein content in genomics-assisted wheat breeding
title_sort simultaneous selection for grain yield and protein content in genomics-assisted wheat breeding
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6531418/
https://www.ncbi.nlm.nih.gov/pubmed/30810763
http://dx.doi.org/10.1007/s00122-019-03312-5
work_keys_str_mv AT michelsebastian simultaneousselectionforgrainyieldandproteincontentingenomicsassistedwheatbreeding
AT loschenbergerfranziska simultaneousselectionforgrainyieldandproteincontentingenomicsassistedwheatbreeding
AT ametzchristian simultaneousselectionforgrainyieldandproteincontentingenomicsassistedwheatbreeding
AT pachlerbernadette simultaneousselectionforgrainyieldandproteincontentingenomicsassistedwheatbreeding
AT sparryellen simultaneousselectionforgrainyieldandproteincontentingenomicsassistedwheatbreeding
AT burstmayrhermann simultaneousselectionforgrainyieldandproteincontentingenomicsassistedwheatbreeding