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Backsolving in combined-merit models for marker-assisted best linear unbiased prediction of total additive genetic merit

Detalles Bibliográficos
Autores principales: Saito, S, Iwaisaki, H
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 1997
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2708207/
http://dx.doi.org/10.1186/1297-9686-29-5-611
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author Saito, S
Iwaisaki, H
author_facet Saito, S
Iwaisaki, H
author_sort Saito, S
collection PubMed
description
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institution National Center for Biotechnology Information
language English
publishDate 1997
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-27082072009-07-09 Backsolving in combined-merit models for marker-assisted best linear unbiased prediction of total additive genetic merit Saito, S Iwaisaki, H Genet Sel Evol Research BioMed Central 1997-11-15 /pmc/articles/PMC2708207/ http://dx.doi.org/10.1186/1297-9686-29-5-611 Text en Copyright © 1997 Elsevier/INRA
spellingShingle Research
Saito, S
Iwaisaki, H
Backsolving in combined-merit models for marker-assisted best linear unbiased prediction of total additive genetic merit
title Backsolving in combined-merit models for marker-assisted best linear unbiased prediction of total additive genetic merit
title_full Backsolving in combined-merit models for marker-assisted best linear unbiased prediction of total additive genetic merit
title_fullStr Backsolving in combined-merit models for marker-assisted best linear unbiased prediction of total additive genetic merit
title_full_unstemmed Backsolving in combined-merit models for marker-assisted best linear unbiased prediction of total additive genetic merit
title_short Backsolving in combined-merit models for marker-assisted best linear unbiased prediction of total additive genetic merit
title_sort backsolving in combined-merit models for marker-assisted best linear unbiased prediction of total additive genetic merit
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2708207/
http://dx.doi.org/10.1186/1297-9686-29-5-611
work_keys_str_mv AT saitos backsolvingincombinedmeritmodelsformarkerassistedbestlinearunbiasedpredictionoftotaladditivegeneticmerit
AT iwaisakih backsolvingincombinedmeritmodelsformarkerassistedbestlinearunbiasedpredictionoftotaladditivegeneticmerit