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Bivariate Copula Mixed Model to Improve the Estimation of Genetic Parameters for Dependent Traits Under Selection

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Bibliographic Details
Published in:Journal of Agricultural, Biological & Environmental Statistics
Format: Online Article RSS Article
Published: 2026
Subjects:
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container_title Journal of Agricultural, Biological & Environmental Statistics
description
discipline_display Agriculture
discipline_facet Agriculture
format Online Article
RSS Article
genre Journal Article
id rss_article:84699
institution FRELIP
journal_source_facet Journal of Agricultural, Biological & Environmental Statistics
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Bivariate Copula Mixed Model to Improve the Estimation of Genetic Parameters for Dependent Traits Under Selection
Agriculture
General
Agriculture
sub_discipline_display General
sub_discipline_facet General
subject_display Agriculture
General
Agriculture
Agriculture
General
Agriculture
subject_facet Agriculture
General
Agriculture
title Bivariate Copula Mixed Model to Improve the Estimation of Genetic Parameters for Dependent Traits Under Selection
title_auth Bivariate Copula Mixed Model to Improve the Estimation of Genetic Parameters for Dependent Traits Under Selection
title_full Bivariate Copula Mixed Model to Improve the Estimation of Genetic Parameters for Dependent Traits Under Selection
title_fullStr Bivariate Copula Mixed Model to Improve the Estimation of Genetic Parameters for Dependent Traits Under Selection
title_full_unstemmed Bivariate Copula Mixed Model to Improve the Estimation of Genetic Parameters for Dependent Traits Under Selection
title_short Bivariate Copula Mixed Model to Improve the Estimation of Genetic Parameters for Dependent Traits Under Selection
title_sort bivariate copula mixed model to improve the estimation of genetic parameters for dependent traits under selection
topic Agriculture
General
Agriculture
url https://link.springer.com/article/10.1007/s13253-026-00740-x