Genomic selection of parents and crosses beyond the native gene pool of a breeding program

Abstract Genomic selection has become a valuable tool for selecting cultivar candidates in many plant breeding programs. Genomic selection of elite parents and crossing combinations with germplasm developed outside a breeding program has, however, hardly been explored until now. The aim of this stud...

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Autores principales:	Sebastian Michel, Franziska Löschenberger, Christian Ametz, Hermann Bürstmayr
Formato:	article
Lenguaje:	EN
Publicado:	Wiley 2021
Materias:	Plant culture SB1-1110 Genetics QH426-470
Acceso en línea:	https://doaj.org/article/e754d6523e194908ad9015cedae4ff1e
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spelling	oai:doaj.org-article:e754d6523e194908ad9015cedae4ff1e2021-12-05T07:50:12ZGenomic selection of parents and crosses beyond the native gene pool of a breeding program1940-337210.1002/tpg2.20153https://doaj.org/article/e754d6523e194908ad9015cedae4ff1e2021-11-01T00:00:00Zhttps://doi.org/10.1002/tpg2.20153https://doaj.org/toc/1940-3372Abstract Genomic selection has become a valuable tool for selecting cultivar candidates in many plant breeding programs. Genomic selection of elite parents and crossing combinations with germplasm developed outside a breeding program has, however, hardly been explored until now. The aim of this study was to assess the potential of this method for commonly ranking and selecting elite germplasm developed within and beyond a given breeding program. A winter wheat (Triticum aestivum L.) population consisting of 611 in‐house and 87 externally developed lines was used to compare training population compositions and statistical models for genomically predicting baking quality in this framework. Augmenting training populations with lines from other breeding programs had a larger influence on the prediction ability than adding in‐house generated lines when aiming to commonly rank both germplasm sets. Exploiting preexisting information of secondary correlated traits resulted likewise in more accurate predictions both in empirical analyses and simulations. Genotyping germplasm developed beyond a given breeding program is moreover a convenient way to clarify its relationships with a breeder's own germplasm because pedigree information is oftentimes not available for this purpose. Genomic predictions can thus support a more informed diversity management, especially when integrating simply to phenotype correlated traits to partly circumvent resource reallocations for a costly phenotyping of germplasm from other programs.Sebastian MichelFranziska LöschenbergerChristian AmetzHermann BürstmayrWileyarticlePlant cultureSB1-1110GeneticsQH426-470ENThe Plant Genome, Vol 14, Iss 3, Pp n/a-n/a (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Plant culture SB1-1110 Genetics QH426-470
spellingShingle	Plant culture SB1-1110 Genetics QH426-470 Sebastian Michel Franziska Löschenberger Christian Ametz Hermann Bürstmayr Genomic selection of parents and crosses beyond the native gene pool of a breeding program
description	Abstract Genomic selection has become a valuable tool for selecting cultivar candidates in many plant breeding programs. Genomic selection of elite parents and crossing combinations with germplasm developed outside a breeding program has, however, hardly been explored until now. The aim of this study was to assess the potential of this method for commonly ranking and selecting elite germplasm developed within and beyond a given breeding program. A winter wheat (Triticum aestivum L.) population consisting of 611 in‐house and 87 externally developed lines was used to compare training population compositions and statistical models for genomically predicting baking quality in this framework. Augmenting training populations with lines from other breeding programs had a larger influence on the prediction ability than adding in‐house generated lines when aiming to commonly rank both germplasm sets. Exploiting preexisting information of secondary correlated traits resulted likewise in more accurate predictions both in empirical analyses and simulations. Genotyping germplasm developed beyond a given breeding program is moreover a convenient way to clarify its relationships with a breeder's own germplasm because pedigree information is oftentimes not available for this purpose. Genomic predictions can thus support a more informed diversity management, especially when integrating simply to phenotype correlated traits to partly circumvent resource reallocations for a costly phenotyping of germplasm from other programs.
format	article
author	Sebastian Michel Franziska Löschenberger Christian Ametz Hermann Bürstmayr
author_facet	Sebastian Michel Franziska Löschenberger Christian Ametz Hermann Bürstmayr
author_sort	Sebastian Michel
title	Genomic selection of parents and crosses beyond the native gene pool of a breeding program
title_short	Genomic selection of parents and crosses beyond the native gene pool of a breeding program
title_full	Genomic selection of parents and crosses beyond the native gene pool of a breeding program
title_fullStr	Genomic selection of parents and crosses beyond the native gene pool of a breeding program
title_full_unstemmed	Genomic selection of parents and crosses beyond the native gene pool of a breeding program
title_sort	genomic selection of parents and crosses beyond the native gene pool of a breeding program
publisher	Wiley
publishDate	2021
url	https://doaj.org/article/e754d6523e194908ad9015cedae4ff1e
work_keys_str_mv	AT sebastianmichel genomicselectionofparentsandcrossesbeyondthenativegenepoolofabreedingprogram AT franziskaloschenberger genomicselectionofparentsandcrossesbeyondthenativegenepoolofabreedingprogram AT christianametz genomicselectionofparentsandcrossesbeyondthenativegenepoolofabreedingprogram AT hermannburstmayr genomicselectionofparentsandcrossesbeyondthenativegenepoolofabreedingprogram
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Genomic selection of parents and crosses beyond the native gene pool of a breeding program

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