Strategies for selecting crosses using genomic prediction in two wheat breeding programs.
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
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 |
format | article |
id | INIAOAI_e09af3f25bb67e59740234c5451ea55f |
instacron_str | Instituto Nacional de Investigación Agropecuaria |
institution | Instituto Nacional de Investigación Agropecuaria |
instname_str | Instituto Nacional de Investigación Agropecuaria |
language | eng |
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oai_identifier_str | oai:redi.anii.org.uy:20.500.12381/2792 |
publishDate | 2017 |
reponame_str | AINFO |
repository.mail.fl_str_mv | lorrego@inia.org.uy |
repository.name.fl_str_mv | AINFO - Instituto Nacional de Investigación Agropecuaria |
repository_id_str | |
rights_invalid_str_mv | Acceso abierto |
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 |