Výsledky vyhledávání - "Mathieu Arnal"

Akademický článek

Genetic parameters for first lactation dairy traits in the Alpine and Saanen goat breeds using a random regression test-day model

Autor: Mathieu Arnal, Hélène Larroque, Hélène Leclerc, Vincent Ducrocq, Christèle Robert-Granié

Publikováno v: Genetics Selection Evolution, Vol 51, Iss 1, Pp 1-15 (2019)

Abstract Background Random regression models (RRM) are widely used to analyze longitudinal data in genetic evaluation systems because they can better account for time-course changes in environmental effects and additive genetic values of animals by f

Externí odkaz: https://doaj.org/article/a30eb469fbe64a6f942309312db6903b

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Diversity of dairy goat lactation curves in France

Autor: H. Larroque, Christèle Robert-Granié, Mathieu Arnal

Publikováno v: Journal of Dairy Science
Journal of Dairy Science, American Dairy Science Association, 2018, 101 (12), pp.11040-11051. ⟨10.3168/jds.2018-14980⟩
Journal of Dairy Science 12 (101), 11040-11051. (2018)

International audience; A high level of production at the peak of lactation may be associated with animal health disorders, high feeding costs, and reduced milk supply throughout the year. The objective of this study was to typologize the lactation c

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b45e090ccc6c73d9c4ab44fa81c910c9
https://doi.org/10.3168/jds.2018-14980

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Genetic parameters for first lactation dairy traits in the Alpine and Saanen goat breeds using a random regression test-day model

Autor: H. Larroque, H. Leclerc, Vincent Ducrocq, Mathieu Arnal, Christèle Robert-Granié

Publikováno v: Genetics Selection Evolution
Genetics Selection Evolution, BioMed Central, 2019, 51 (1), pp.43. ⟨10.1186/s12711-019-0485-3⟩
Genetics Selection Evolution 1 (51), Non paginé. (2019)
Genetics Selection Evolution, BioMed Central, 2019, 51 (1), ⟨10.1186/s12711-019-0485-3⟩
Genetics Selection Evolution, Vol 51, Iss 1, Pp 1-15 (2019)
Genetics, Selection, Evolution : GSE

Background Random regression models (RRM) are widely used to analyze longitudinal data in genetic evaluation systems because they can better account for time-course changes in environmental effects and additive genetic values of animals by fitting th

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::839bad2704f9cc4b97ca2a023d6ae81f
https://hal.archives-ouvertes.fr/hal-02267144/file/12711_2019_Article_485.pdf

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Estimation of genetic parameters for dairy traits and somatic cell score in the first 3 parities using a random regression test-day model in French Alpine goats

Autor: Christèle Robert-Granié, H. Leclerc, Vincent Ducrocq, Mathieu Arnal, H. Larroque

Publikováno v: Journal of Dairy Science
Journal of Dairy Science, American Dairy Science Association, 2020, 103 (5), pp.4517-4531. ⟨10.3168/jds.2019-17465⟩

Lactation curve shape can affect an animal's health, feed requirements, and milk production throughout the year. We implemented a random regression model for the genetic evaluation of lactation curve shapes of dairy traits in French Alpine goats for

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4d05c78664f02d21e526c51e19758673
https://pubmed.ncbi.nlm.nih.gov/32171509

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