Strategies for selecting crosses using genomic prediction in two wheat breeding programs.

LADO, B. - BATTENFIELD, S. D. - GUZMÁN, C. - QUINCKE, M. - SINGH, R. P. - DREISIGACKER, S. - PEÑA, R. J. - FRITZ, AL. - SILVA, P. - POLAND, J. - GUTIÉRREZ, L.

Resumen:

ABSTRACT.The single most important decision in plant breeding programs is the selection of appropriate crosses. The ideal cross would provide superior predicted progeny performance and enough diversity to maintain genetic gain. The aim of this study was to compare the best crosses predicted using combinations of mid-parent value and variance prediction accounting for linkage disequilibrium (VLD) or assuming linkage equilibrium (VLE). After predicting the mean and the variance of each cross, we selected crosses based on mid-parent value, the top 10% of the progeny, and weighted mean and variance within progenies for grain yield, grain protein content, mixing time, and loaf volume in two applied wheat (Triticum aestivum L.) breeding programs: Instituto Nacional de Investigación Agropecuaria (INIA) Uruguay and CIMMYT Mexico. Although the variance of the progeny is important to increase the chances of finding superior individuals from transgressive segregation, we observed that the mid-parent values of the crosses drove the genetic gain but the variance of the progeny had a small impact on genetic gain for grain yield. However, the relative importance of the variance of the progeny was larger for quality traits. Overall, the genomic resources and the statistical models are now available to plant breeders to predict both the performance of breeding lines per se as well as the value of progeny from any potential crosses. © Crop Science Society of America


Detalles Bibliográficos
2017
WHEAT
WHEAT BREEDING PROGRAMS
GENOMIC SELECTION
TRIGO
Inglés
Instituto Nacional de Investigación Agropecuaria
AINFO
http://www.ainfo.inia.uy/consulta/busca?b=pc&id=57423&biblioteca=vazio&busca=57423&qFacets=57423
Acceso abierto
_version_ 1805580524853395456
author LADO, B.
author2 BATTENFIELD, S. D.
GUZMÁN, C.
QUINCKE, M.
SINGH, R. P.
DREISIGACKER, S.
PEÑA, R. J.
FRITZ, AL.
SILVA, P.
POLAND, J.
GUTIÉRREZ, L.
author2_role author
author
author
author
author
author
author
author
author
author
author_facet LADO, B.
BATTENFIELD, S. D.
GUZMÁN, C.
QUINCKE, M.
SINGH, R. P.
DREISIGACKER, S.
PEÑA, R. J.
FRITZ, AL.
SILVA, P.
POLAND, J.
GUTIÉRREZ, L.
author_role author
bitstream.checksum.fl_str_mv 204f8f46740e29cac761c2c292abee5d
bitstream.checksumAlgorithm.fl_str_mv MD5
bitstream.url.fl_str_mv https://redi.anii.org.uy/jspui/bitstream/20.500.12381/2792/1/sword-2022-12-16T17%3a54%3a50.original.xml
collection AINFO
dc.creator.none.fl_str_mv LADO, B.
BATTENFIELD, S. D.
GUZMÁN, C.
QUINCKE, M.
SINGH, R. P.
DREISIGACKER, S.
PEÑA, R. J.
FRITZ, AL.
SILVA, P.
POLAND, J.
GUTIÉRREZ, L.
dc.date.accessioned.none.fl_str_mv 2022-12-16T20:54:50Z
dc.date.available.none.fl_str_mv 2022-12-16T20:54:50Z
dc.date.issued.none.fl_str_mv 2017
dc.date.updated.none.fl_str_mv 2022-12-16T20:54:50Z
dc.description.abstract.none.fl_txt_mv ABSTRACT.The single most important decision in plant breeding programs is the selection of appropriate crosses. The ideal cross would provide superior predicted progeny performance and enough diversity to maintain genetic gain. The aim of this study was to compare the best crosses predicted using combinations of mid-parent value and variance prediction accounting for linkage disequilibrium (VLD) or assuming linkage equilibrium (VLE). After predicting the mean and the variance of each cross, we selected crosses based on mid-parent value, the top 10% of the progeny, and weighted mean and variance within progenies for grain yield, grain protein content, mixing time, and loaf volume in two applied wheat (Triticum aestivum L.) breeding programs: Instituto Nacional de Investigación Agropecuaria (INIA) Uruguay and CIMMYT Mexico. Although the variance of the progeny is important to increase the chances of finding superior individuals from transgressive segregation, we observed that the mid-parent values of the crosses drove the genetic gain but the variance of the progeny had a small impact on genetic gain for grain yield. However, the relative importance of the variance of the progeny was larger for quality traits. Overall, the genomic resources and the statistical models are now available to plant breeders to predict both the performance of breeding lines per se as well as the value of progeny from any potential crosses. © Crop Science Society of America
dc.identifier.none.fl_str_mv http://www.ainfo.inia.uy/consulta/busca?b=pc&id=57423&biblioteca=vazio&busca=57423&qFacets=57423
dc.language.iso.none.fl_str_mv en
eng
dc.rights.es.fl_str_mv Acceso abierto
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
dc.source.none.fl_str_mv reponame:AINFO
instname:Instituto Nacional de Investigación Agropecuaria
instacron:Instituto Nacional de Investigación Agropecuaria
dc.subject.none.fl_str_mv WHEAT
WHEAT BREEDING PROGRAMS
GENOMIC SELECTION
TRIGO
dc.title.none.fl_str_mv Strategies for selecting crosses using genomic prediction in two wheat breeding programs.
dc.type.none.fl_str_mv Article
PublishedVersion
info:eu-repo/semantics/article
dc.type.version.none.fl_str_mv info:eu-repo/semantics/publishedVersion
description ABSTRACT.The single most important decision in plant breeding programs is the selection of appropriate crosses. The ideal cross would provide superior predicted progeny performance and enough diversity to maintain genetic gain. The aim of this study was to compare the best crosses predicted using combinations of mid-parent value and variance prediction accounting for linkage disequilibrium (VLD) or assuming linkage equilibrium (VLE). After predicting the mean and the variance of each cross, we selected crosses based on mid-parent value, the top 10% of the progeny, and weighted mean and variance within progenies for grain yield, grain protein content, mixing time, and loaf volume in two applied wheat (Triticum aestivum L.) breeding programs: Instituto Nacional de Investigación Agropecuaria (INIA) Uruguay and CIMMYT Mexico. Although the variance of the progeny is important to increase the chances of finding superior individuals from transgressive segregation, we observed that the mid-parent values of the crosses drove the genetic gain but the variance of the progeny had a small impact on genetic gain for grain yield. However, the relative importance of the variance of the progeny was larger for quality traits. Overall, the genomic resources and the statistical models are now available to plant breeders to predict both the performance of breeding lines per se as well as the value of progeny from any potential crosses. © Crop Science Society of America
eu_rights_str_mv openAccess
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spelling 2022-12-16T20:54:50Z2022-12-16T20:54:50Z20172022-12-16T20:54:50Zhttp://www.ainfo.inia.uy/consulta/busca?b=pc&id=57423&biblioteca=vazio&busca=57423&qFacets=57423ABSTRACT.The single most important decision in plant breeding programs is the selection of appropriate crosses. The ideal cross would provide superior predicted progeny performance and enough diversity to maintain genetic gain. The aim of this study was to compare the best crosses predicted using combinations of mid-parent value and variance prediction accounting for linkage disequilibrium (VLD) or assuming linkage equilibrium (VLE). After predicting the mean and the variance of each cross, we selected crosses based on mid-parent value, the top 10% of the progeny, and weighted mean and variance within progenies for grain yield, grain protein content, mixing time, and loaf volume in two applied wheat (Triticum aestivum L.) breeding programs: Instituto Nacional de Investigación Agropecuaria (INIA) Uruguay and CIMMYT Mexico. Although the variance of the progeny is important to increase the chances of finding superior individuals from transgressive segregation, we observed that the mid-parent values of the crosses drove the genetic gain but the variance of the progeny had a small impact on genetic gain for grain yield. However, the relative importance of the variance of the progeny was larger for quality traits. Overall, the genomic resources and the statistical models are now available to plant breeders to predict both the performance of breeding lines per se as well as the value of progeny from any potential crosses. © Crop Science Society of Americahttps://hdl.handle.net/20.500.12381/2792enenginfo:eu-repo/semantics/openAccessAcceso abiertoWHEATWHEAT BREEDING PROGRAMSGENOMIC SELECTIONTRIGOStrategies for selecting crosses using genomic prediction in two wheat breeding programs.ArticlePublishedVersioninfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionreponame:AINFOinstname:Instituto Nacional de Investigación Agropecuariainstacron:Instituto Nacional de Investigación AgropecuariaLADO, B.BATTENFIELD, S. D.GUZMÁN, C.QUINCKE, M.SINGH, R. P.DREISIGACKER, S.PEÑA, R. J.FRITZ, AL.SILVA, P.POLAND, J.GUTIÉRREZ, L.SWORDsword-2022-12-16T17:54:50.original.xmlOriginal SWORD entry documentapplication/octet-stream2875https://redi.anii.org.uy/jspui/bitstream/20.500.12381/2792/1/sword-2022-12-16T17%3a54%3a50.original.xml204f8f46740e29cac761c2c292abee5dMD5120.500.12381/27922022-12-16 17:54:51.389oai:redi.anii.org.uy:20.500.12381/2792Gobiernohttp://inia.uyhttps://redi.anii.org.uy/oai/requestlorrego@inia.org.uyUruguayopendoar:2022-12-16T20:54:51AINFO - Instituto Nacional de Investigación Agropecuariafalse
spellingShingle Strategies for selecting crosses using genomic prediction in two wheat breeding programs.
LADO, B.
WHEAT
WHEAT BREEDING PROGRAMS
GENOMIC SELECTION
TRIGO
status_str publishedVersion
title Strategies for selecting crosses using genomic prediction in two wheat breeding programs.
title_full Strategies for selecting crosses using genomic prediction in two wheat breeding programs.
title_fullStr Strategies for selecting crosses using genomic prediction in two wheat breeding programs.
title_full_unstemmed Strategies for selecting crosses using genomic prediction in two wheat breeding programs.
title_short Strategies for selecting crosses using genomic prediction in two wheat breeding programs.
title_sort Strategies for selecting crosses using genomic prediction in two wheat breeding programs.
topic WHEAT
WHEAT BREEDING PROGRAMS
GENOMIC SELECTION
TRIGO
url http://www.ainfo.inia.uy/consulta/busca?b=pc&id=57423&biblioteca=vazio&busca=57423&qFacets=57423