How ssGBLUP became suitable for national dairy cattle evaluations.

MISZTAL, I. - LOURENCO, D. - TSURUTA, S. - AGUILAR, I. - MASUDA, Y. - BERMANN, M. - CESARANI, A. - LEGARRA, A.

Resumen:

ABSTRACT.- National dairy evaluations use mostly multistep methods, where a nongenomic BLUP evaluation is followed by extraction of pseudo-phenotypes, genomic analyses, and merging nongenomic and genomic evaluations. With genomic preselection and many females genotyped, pseudo-phenotypes are biased, and it is hard to accommodate female genotypes fully. Such problems were successfully solved in other species by ssGBLUP, but large biases and expensive computing were experienced in dairy. This paper documents several improvements that made ssGBLUP feasible for national dairy evaluations.


Detalles Bibliográficos
2022
BLUP (BEST LINEAR UNBIASED PREDICTION)
GENOTYPES
Inglés
Instituto Nacional de Investigación Agropecuaria
AINFO
http://www.ainfo.inia.uy/consulta/busca?b=pc&id=63466&biblioteca=vazio&busca=63466&qFacets=63466
Acceso abierto
_version_ 1805580524907921408
author MISZTAL, I.
author2 LOURENCO, D.
TSURUTA, S.
AGUILAR, I.
MASUDA, Y.
BERMANN, M.
CESARANI, A.
LEGARRA, A.
author2_role author
author
author
author
author
author
author
author_facet MISZTAL, I.
LOURENCO, D.
TSURUTA, S.
AGUILAR, I.
MASUDA, Y.
BERMANN, M.
CESARANI, A.
LEGARRA, A.
author_role author
bitstream.checksum.fl_str_mv b0512bdecb6a9418c788ed41fd5357d0
bitstream.checksumAlgorithm.fl_str_mv MD5
bitstream.url.fl_str_mv https://redi.anii.org.uy/jspui/bitstream/20.500.12381/2288/1/sword-2022-10-20T23%3a06%3a33.original.xml
collection AINFO
dc.creator.none.fl_str_mv MISZTAL, I.
LOURENCO, D.
TSURUTA, S.
AGUILAR, I.
MASUDA, Y.
BERMANN, M.
CESARANI, A.
LEGARRA, A.
dc.date.accessioned.none.fl_str_mv 2022-10-21T02:06:33Z
dc.date.available.none.fl_str_mv 2022-10-21T02:06:33Z
dc.date.issued.none.fl_str_mv 2022
dc.date.updated.none.fl_str_mv 2022-10-21T02:06:33Z
dc.description.abstract.none.fl_txt_mv ABSTRACT.- National dairy evaluations use mostly multistep methods, where a nongenomic BLUP evaluation is followed by extraction of pseudo-phenotypes, genomic analyses, and merging nongenomic and genomic evaluations. With genomic preselection and many females genotyped, pseudo-phenotypes are biased, and it is hard to accommodate female genotypes fully. Such problems were successfully solved in other species by ssGBLUP, but large biases and expensive computing were experienced in dairy. This paper documents several improvements that made ssGBLUP feasible for national dairy evaluations.
dc.identifier.none.fl_str_mv http://www.ainfo.inia.uy/consulta/busca?b=pc&id=63466&biblioteca=vazio&busca=63466&qFacets=63466
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 BLUP (BEST LINEAR UNBIASED PREDICTION)
GENOTYPES
dc.title.none.fl_str_mv How ssGBLUP became suitable for national dairy cattle evaluations.
dc.type.none.fl_str_mv ConferenceObject
PublishedVersion
info:eu-repo/semantics/conferenceObject
dc.type.version.none.fl_str_mv info:eu-repo/semantics/publishedVersion
description ABSTRACT.- National dairy evaluations use mostly multistep methods, where a nongenomic BLUP evaluation is followed by extraction of pseudo-phenotypes, genomic analyses, and merging nongenomic and genomic evaluations. With genomic preselection and many females genotyped, pseudo-phenotypes are biased, and it is hard to accommodate female genotypes fully. Such problems were successfully solved in other species by ssGBLUP, but large biases and expensive computing were experienced in dairy. This paper documents several improvements that made ssGBLUP feasible for national dairy evaluations.
eu_rights_str_mv openAccess
format conferenceObject
id INIAOAI_51664ea04543988a4f7ee67c68159406
instacron_str Instituto Nacional de Investigación Agropecuaria
institution Instituto Nacional de Investigación Agropecuaria
instname_str Instituto Nacional de Investigación Agropecuaria
language eng
language_invalid_str_mv en
network_acronym_str INIAOAI
network_name_str AINFO
oai_identifier_str oai:redi.anii.org.uy:20.500.12381/2288
publishDate 2022
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 2022-10-21T02:06:33Z2022-10-21T02:06:33Z20222022-10-21T02:06:33Zhttp://www.ainfo.inia.uy/consulta/busca?b=pc&id=63466&biblioteca=vazio&busca=63466&qFacets=63466ABSTRACT.- National dairy evaluations use mostly multistep methods, where a nongenomic BLUP evaluation is followed by extraction of pseudo-phenotypes, genomic analyses, and merging nongenomic and genomic evaluations. With genomic preselection and many females genotyped, pseudo-phenotypes are biased, and it is hard to accommodate female genotypes fully. Such problems were successfully solved in other species by ssGBLUP, but large biases and expensive computing were experienced in dairy. This paper documents several improvements that made ssGBLUP feasible for national dairy evaluations.https://hdl.handle.net/20.500.12381/2288enenginfo:eu-repo/semantics/openAccessAcceso abiertoBLUP (BEST LINEAR UNBIASED PREDICTION)GENOTYPESHow ssGBLUP became suitable for national dairy cattle evaluations.ConferenceObjectPublishedVersioninfo:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionreponame:AINFOinstname:Instituto Nacional de Investigación Agropecuariainstacron:Instituto Nacional de Investigación AgropecuariaMISZTAL, I.LOURENCO, D.TSURUTA, S.AGUILAR, I.MASUDA, Y.BERMANN, M.CESARANI, A.LEGARRA, A.SWORDsword-2022-10-20T23:06:33.original.xmlOriginal SWORD entry documentapplication/octet-stream1743https://redi.anii.org.uy/jspui/bitstream/20.500.12381/2288/1/sword-2022-10-20T23%3a06%3a33.original.xmlb0512bdecb6a9418c788ed41fd5357d0MD5120.500.12381/22882022-10-20 23:06:34.198oai:redi.anii.org.uy:20.500.12381/2288Gobiernohttp://inia.uyhttps://redi.anii.org.uy/oai/requestlorrego@inia.org.uyUruguayopendoar:2022-10-21T02:06:34AINFO - Instituto Nacional de Investigación Agropecuariafalse
spellingShingle How ssGBLUP became suitable for national dairy cattle evaluations.
MISZTAL, I.
BLUP (BEST LINEAR UNBIASED PREDICTION)
GENOTYPES
status_str publishedVersion
title How ssGBLUP became suitable for national dairy cattle evaluations.
title_full How ssGBLUP became suitable for national dairy cattle evaluations.
title_fullStr How ssGBLUP became suitable for national dairy cattle evaluations.
title_full_unstemmed How ssGBLUP became suitable for national dairy cattle evaluations.
title_short How ssGBLUP became suitable for national dairy cattle evaluations.
title_sort How ssGBLUP became suitable for national dairy cattle evaluations.
topic BLUP (BEST LINEAR UNBIASED PREDICTION)
GENOTYPES
url http://www.ainfo.inia.uy/consulta/busca?b=pc&id=63466&biblioteca=vazio&busca=63466&qFacets=63466

Resultados similares