Weighted genomic prediction for growth and disease resistant traits in a Eucalyptus globulus breeding population. [Poster]

QUEZADA, M. - AGUILAR, I. - BALMELLI, G.

Resumen:

Genomic selection is becoming an efficient and effective tool to increase genetic gain per unit time in forest tree breeding. The single-step genomic best linear unbiased prediction (ssGBLUP) method has been widely used in forest trees because it can use the complete phenotypic and pedigree data, with the genotypic information of a subset of the population.

Detalles Bibliográficos
2023
Genomic selection
WssGBLUP
Inglés
Instituto Nacional de Investigación Agropecuaria
AINFO
https://ainfo.inia.uy/consulta/busca?b=pc&id=64385&biblioteca=vazio&busca=64385&qFacets=64385
Acceso abierto
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author QUEZADA, M.
author2 AGUILAR, I.
BALMELLI, G.
author2_role author
author
author_facet QUEZADA, M.
AGUILAR, I.
BALMELLI, G.
author_role author
bitstream.checksum.fl_str_mv 4faafb057fbf58e68c72721cb60f4394
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bitstream.url.fl_str_mv https://redi.anii.org.uy/jspui/bitstream/20.500.12381/4573/1/sword-2025-06-23T15%3a35%3a05.original.xml
collection AINFO
dc.creator.none.fl_str_mv QUEZADA, M.
AGUILAR, I.
BALMELLI, G.
dc.date.accessioned.none.fl_str_mv 2025-06-23T18:35:05Z
dc.date.available.none.fl_str_mv 2025-06-23T18:35:05Z
dc.date.issued.none.fl_str_mv 2023
dc.date.updated.none.fl_str_mv 2025-06-23T18:35:05Z
dc.description.abstract.none.fl_txt_mv Genomic selection is becoming an efficient and effective tool to increase genetic gain per unit time in forest tree breeding. The single-step genomic best linear unbiased prediction (ssGBLUP) method has been widely used in forest trees because it can use the complete phenotypic and pedigree data, with the genotypic information of a subset of the population.
dc.identifier.none.fl_str_mv https://ainfo.inia.uy/consulta/busca?b=pc&id=64385&biblioteca=vazio&busca=64385&qFacets=64385
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 Genomic selection
WssGBLUP
dc.title.none.fl_str_mv Weighted genomic prediction for growth and disease resistant traits in a Eucalyptus globulus breeding population. [Poster]
dc.type.none.fl_str_mv ConferenceObject
PublishedVersion
info:eu-repo/semantics/conferenceObject
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description Genomic selection is becoming an efficient and effective tool to increase genetic gain per unit time in forest tree breeding. The single-step genomic best linear unbiased prediction (ssGBLUP) method has been widely used in forest trees because it can use the complete phenotypic and pedigree data, with the genotypic information of a subset of the population.
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instname_str Instituto Nacional de Investigación Agropecuaria
language eng
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repository.name.fl_str_mv AINFO - Instituto Nacional de Investigación Agropecuaria
repository_id_str
rights_invalid_str_mv Acceso abierto
spelling 2025-06-23T18:35:05Z2025-06-23T18:35:05Z20232025-06-23T18:35:05Zhttps://ainfo.inia.uy/consulta/busca?b=pc&id=64385&biblioteca=vazio&busca=64385&qFacets=64385Genomic selection is becoming an efficient and effective tool to increase genetic gain per unit time in forest tree breeding. The single-step genomic best linear unbiased prediction (ssGBLUP) method has been widely used in forest trees because it can use the complete phenotypic and pedigree data, with the genotypic information of a subset of the population.https://hdl.handle.net/20.500.12381/4573enenginfo:eu-repo/semantics/openAccessAcceso abiertoGenomic selectionWssGBLUPWeighted genomic prediction for growth and disease resistant traits in a Eucalyptus globulus breeding population. [Poster]ConferenceObjectPublishedVersioninfo:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionreponame:AINFOinstname:Instituto Nacional de Investigación Agropecuariainstacron:Instituto Nacional de Investigación AgropecuariaQUEZADA, M.AGUILAR, I.BALMELLI, G.SWORDsword-2025-06-23T15:35:05.original.xmlOriginal SWORD entry documentapplication/octet-stream1300https://redi.anii.org.uy/jspui/bitstream/20.500.12381/4573/1/sword-2025-06-23T15%3a35%3a05.original.xml4faafb057fbf58e68c72721cb60f4394MD5120.500.12381/45732026-02-10 15:53:59.023oai:redi.anii.org.uy:20.500.12381/4573Institucionalhttps://ainfo.inia.uy/Organismo científico-tecnológicohttp://inia.uyhttps://redi.anii.org.uy/oai/requestlorrego@inia.org.uyUruguayopendoar:2026-02-10T18:53:59AINFO - Instituto Nacional de Investigación Agropecuariafalse
spellingShingle Weighted genomic prediction for growth and disease resistant traits in a Eucalyptus globulus breeding population. [Poster]
QUEZADA, M.
Genomic selection
WssGBLUP
status_str publishedVersion
title Weighted genomic prediction for growth and disease resistant traits in a Eucalyptus globulus breeding population. [Poster]
title_full Weighted genomic prediction for growth and disease resistant traits in a Eucalyptus globulus breeding population. [Poster]
title_fullStr Weighted genomic prediction for growth and disease resistant traits in a Eucalyptus globulus breeding population. [Poster]
title_full_unstemmed Weighted genomic prediction for growth and disease resistant traits in a Eucalyptus globulus breeding population. [Poster]
title_short Weighted genomic prediction for growth and disease resistant traits in a Eucalyptus globulus breeding population. [Poster]
title_sort Weighted genomic prediction for growth and disease resistant traits in a Eucalyptus globulus breeding population. [Poster]
topic Genomic selection
WssGBLUP
url https://ainfo.inia.uy/consulta/busca?b=pc&id=64385&biblioteca=vazio&busca=64385&qFacets=64385