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spelling snrd:2018martini2021-10-15T16:56:07Z Martini, Johannes W. R. Schrauf, Matías Florián García Baccino, Carolina Andrea Pimentel, Eduardo C. G. Munilla Leguizamón, Sebastián Rogberg Muñoz, Andrés Cantet, Rodolfo Juan Carlos Reimer, Christian Gao, Ning Wimmer, Valentin Simianer, Henner 2018 Fil: Martini, Johannes W. R. KWS SAAT SE, Einbeck, Germany. Fil: Schrauf, Matías Florián. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Producción Animal. Buenos Aires, Argentina. Fil: García Baccino, Carolina Andrea. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Producción Animal. Buenos Aires, Argentina. Fil: Pimentel, Eduardo C. G. Institute of Animal Breeding, Bavarian State Research Center for Agriculture. Poing‑Grub, Germany. Fil: Munilla Leguizamón, Sebastián. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Producción Animal. Buenos Aires, Argentina. Fil: Rogberg Muñoz, Andrés. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Producción Animal. Buenos Aires, Argentina. Fil: Cantet, Rodolfo Juan Carlos. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Producción Animal. Buenos Aires, Argentina. Fil: Reimer, Christian. University of Goettingen. Animal Breeding and Genetics Group, Center for Integrated Breeding Research. Goettingen, Germany. Fil: Gao, Ning. University of Goettingen. Animal Breeding and Genetics Group, Center for Integrated Breeding Research. Goettingen, Germany. Fil: Wimmer, Valentin. KWS SAAT SE, Einbeck, Germany. Fil: Simianer, Henner. University of Goettingen. Animal Breeding and Genetics Group, Center for Integrated Breeding Research. Goettingen, Germany. Background: The single-step covariance matrix H combines the pedigree-based relationship matrix A with the more accurate information on realized relatedness of genotyped individuals represented by the genomic relationship matrix G. In particular, to improve convergence behavior of iterative approaches and to reduce inflation, two weights t and w have been introduced in the definition of H−1, which blend the inverse of a part of A with the inverse of G. Since the definition of this blending is based on the equation describing H−1, its impact on the structure of H is not obvious. In a joint discussion, we considered the question of the shape of H for non-trivial t and w. Results: Here, we present the general matrix H as a function of these parameters and discuss its structure and properties. Moreover, we screen for optimal values of t and w with respect to predictive ability, inflation and iterations up to convergence on a well investigated, publicly available wheat data set. Conclusion: Our results may help the reader to develop a better understanding for the effects of changes of t and w on the covariance model. In particular, we give theoretical arguments that as a general tendency, inflation will be reduced by increasing t or by decreasing w. grafs. application/pdf doi:10.1186/s12711-018-0386-x issn:0999-193X http://ri.agro.uba.ar/greenstone3/library/collection/arti/document/2018martini eng info:eu-repo/semantics/openAccess openAccess http://ri.agro.uba.ar/greenstone3/library/page/biblioteca#section4 Genetics selection evolution Vol.50, no.16 9 http://www.biomedcentral.com/ CONVERGENCE CONVERGENT EVOLUTION COVARIANCE ANALYSIS DATA SET GENOMICS GENOTYPE PARAMETERIZATION PREDICTION REDUCTION RELATEDNESS WHEAT TRITICUM AESTIVUM The effect of the H−1 scaling factors t and w on the structure of H in the single‑step procedure info:eu-repo/semantics/article info:ar-repo/semantics/artículo publishedVersion info:eu-repo/semantics/publishedVersion
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-140
collection FAUBA Digital - Facultad de Agronomía (UBA)
language Inglés
orig_language_str_mv eng
topic CONVERGENCE
CONVERGENT EVOLUTION
COVARIANCE ANALYSIS
DATA SET
GENOMICS
GENOTYPE
PARAMETERIZATION
PREDICTION
REDUCTION
RELATEDNESS
WHEAT
TRITICUM AESTIVUM
spellingShingle CONVERGENCE
CONVERGENT EVOLUTION
COVARIANCE ANALYSIS
DATA SET
GENOMICS
GENOTYPE
PARAMETERIZATION
PREDICTION
REDUCTION
RELATEDNESS
WHEAT
TRITICUM AESTIVUM
Martini, Johannes W. R.
Schrauf, Matías Florián
García Baccino, Carolina Andrea
Pimentel, Eduardo C. G.
Munilla Leguizamón, Sebastián
Rogberg Muñoz, Andrés
Cantet, Rodolfo Juan Carlos
Reimer, Christian
Gao, Ning
Wimmer, Valentin
Simianer, Henner
The effect of the H−1 scaling factors t and w on the structure of H in the single‑step procedure
topic_facet CONVERGENCE
CONVERGENT EVOLUTION
COVARIANCE ANALYSIS
DATA SET
GENOMICS
GENOTYPE
PARAMETERIZATION
PREDICTION
REDUCTION
RELATEDNESS
WHEAT
TRITICUM AESTIVUM
description Fil: Martini, Johannes W. R. KWS SAAT SE, Einbeck, Germany.
format Artículo
Artículo
publishedVersion
publishedVersion
author Martini, Johannes W. R.
Schrauf, Matías Florián
García Baccino, Carolina Andrea
Pimentel, Eduardo C. G.
Munilla Leguizamón, Sebastián
Rogberg Muñoz, Andrés
Cantet, Rodolfo Juan Carlos
Reimer, Christian
Gao, Ning
Wimmer, Valentin
Simianer, Henner
author_facet Martini, Johannes W. R.
Schrauf, Matías Florián
García Baccino, Carolina Andrea
Pimentel, Eduardo C. G.
Munilla Leguizamón, Sebastián
Rogberg Muñoz, Andrés
Cantet, Rodolfo Juan Carlos
Reimer, Christian
Gao, Ning
Wimmer, Valentin
Simianer, Henner
author_sort Martini, Johannes W. R.
title The effect of the H−1 scaling factors t and w on the structure of H in the single‑step procedure
title_short The effect of the H−1 scaling factors t and w on the structure of H in the single‑step procedure
title_full The effect of the H−1 scaling factors t and w on the structure of H in the single‑step procedure
title_fullStr The effect of the H−1 scaling factors t and w on the structure of H in the single‑step procedure
title_full_unstemmed The effect of the H−1 scaling factors t and w on the structure of H in the single‑step procedure
title_sort effect of the h−1 scaling factors t and w on the structure of h in the single‑step procedure
publishDate 2018
url http://ri.agro.uba.ar/greenstone3/library/collection/arti/document/2018martini
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