Zobrazeno 1 - 10
of 44
pro vyhledávání: '"C. Laithier"'
Publikováno v:
Journal of Dairy Science, Vol 105, Iss 6, Pp 5206-5220 (2022)
ABSTRACT: As part of the From'MIR project, traits related to the composition and cheese-making properties (CMP) of milk were predicted from 6.6 million mid-infrared spectra taken from 410,622 Montbéliarde cows (19,862 with genotypes). Genome-wide as
Externí odkaz:
https://doaj.org/article/254d1821a6f647968d7073f932c94167
Autor:
C. Laithier, Agnès Delacroix-Buchet, E. Notz, Eric Beuvier, O. Belysheva, Valérie Wolf, Stéphane Gavoye, Yves Gauzere, Odile Rolet-Répécaud, Nicolas Gaudilliere, M. El Jabri, P. Trossat, Philippe Grosperrin
Publikováno v:
Journal of Dairy Science
Journal of Dairy Science, American Dairy Science Association, 2020, 103 (7), pp.5992-6002. ⟨10.3168/jds.2019-17491⟩
Journal of Dairy Science, American Dairy Science Association, 2020, 103 (7), pp.5992-6002. ⟨10.3168/jds.2019-17491⟩
Franche-Comte is the primary producing region of Protected Designation of Origin cheeses in France. Normally, mid-infrared (MIR) prediction models for cheese-making property (CMP) traits are developed using individual bovine milks. However, consideri
Publikováno v:
Journal of dairy science. 105(6)
As part of the From'MIR project, traits related to the composition and cheese-making properties (CMP) of milk were predicted from 6.6 million mid-infrared spectra taken from 410,622 Montbéliarde cows (19,862 with genotypes). Genome-wide association
Autor:
Mickael Brochard, Valérie Wolf, Agnès Delacroix-Buchet, Philippe Grosperrin, Didier Boichard, Sébastien Taussat, Odile Rolet-Répécaud, Mekki Boussaha, Marie Pierre Sanchez, C. Laithier, Thierry Tribout, Alexis Michenet, Nicolas Gaudilliere, Eric Beuvier, Mohammed El Jabri, Stephanie Minery, Yuliaxis Ramayo-Caldas, Sébastien Fritz
Publikováno v:
INRA Productions Animales
INRA Productions Animales, Paris: INRA, 2019, 32 (3), pp.379-398. ⟨10.20870/productions-animales.2019.32.3.2950⟩
INRA Productions Animales 3 (32), 379-398. (2019)
INRA Productions Animales, Paris: INRA, 2019, 32 (3), pp.379-398. ⟨10.20870/productions-animales.2019.32.3.2950⟩
INRA Productions Animales 3 (32), 379-398. (2019)
Les aptitudes du lait à la transformation en fromage sont étroitement liées à sa composition. Ces caractères, difficiles à mesurer directement, ont été prédits à partir des spectres dans le moyen infrarouge (MIR) du lait en race Montbéliar
Autor:
Didier Boichard, Marie Pierre Sanchez, Yves Gauzere, Valérie Wolf, P. Trossat, Philippe Grosperrin, Agnès Delacroix-Buchet, O. Belysheva, M. El Jabri, C. Laithier, E. Notz, Eric Beuvier, Stéphane Gavoye, Odile Rolet-Répécaud
Publikováno v:
Journal of Dairy Science
Journal of Dairy Science, American Dairy Science Association, 2019, 102 (8), pp.6943-6958. ⟨10.3168/jds.2019-16320⟩
Journal of Dairy Science, American Dairy Science Association, 2019, 102 (8), pp.6943-6958. ⟨10.3168/jds.2019-16320⟩
Assessing the cheese-making properties (CMP) of milks with a rapid and cost-effective method is of particular interest for the Protected Designation of Origin cheese sector. The aims of this study were to evaluate the potential of mid-infrared (MIR)
Autor:
Valérie Wolf, Didier Boichard, Mohammed El Jabri, Yuliaxis Ramayo-Caldas, Sébastien Taussat, Mickael Brochard, Marie Pierre Sanchez, Sébastien Fritz, Agnès Delacroix-Buchet, C. Laithier, Mekki Boussaha, Alexis Michenet
Publikováno v:
Genetics Selection Evolution
Genetics Selection Evolution, BioMed Central, 2019, 51 (1), pp.34. ⟨10.1186/s12711-019-0473-7⟩
International Milk Genomics Consortium IMGC
International Milk Genomics Consortium IMGC, Nov 2019, Aarhus, Denmark
HAL
IRTA Pubpro. Open Digital Archive
Institut de Recerca i Tecnologia Agroalimentàries (IRTA)
Genetics Selection Evolution, BioMed Central, 2019, ⟨10.1186/s12711-019-0473-7⟩
Genetics, Selection, Evolution : GSE
Genetics Selection Evolution, Vol 51, Iss 1, Pp 1-19 (2019)
Genetics Selection Evolution (51), . (2019)
2019; International Milk Genomics Consortium IMGC, Aarhus, DNK, 2019-11-12-2019-11-14
Genetics Selection Evolution, BioMed Central, 2019, 51 (1), pp.34. ⟨10.1186/s12711-019-0473-7⟩
International Milk Genomics Consortium IMGC
International Milk Genomics Consortium IMGC, Nov 2019, Aarhus, Denmark
HAL
IRTA Pubpro. Open Digital Archive
Institut de Recerca i Tecnologia Agroalimentàries (IRTA)
Genetics Selection Evolution, BioMed Central, 2019, ⟨10.1186/s12711-019-0473-7⟩
Genetics, Selection, Evolution : GSE
Genetics Selection Evolution, Vol 51, Iss 1, Pp 1-19 (2019)
Genetics Selection Evolution (51), . (2019)
2019; International Milk Genomics Consortium IMGC, Aarhus, DNK, 2019-11-12-2019-11-14
Background Milk quality in dairy cattle is routinely assessed via analysis of mid-infrared (MIR) spectra; this approach can also be used to predict the milk’s cheese-making properties (CMP) and composition. When this method of high-throughput pheno
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e6044d448d95082943fd4c34afe04e8f
https://hal.archives-ouvertes.fr/hal-02176238
https://hal.archives-ouvertes.fr/hal-02176238
Autor:
Valérie Wolf, Didier Boichard, C. Laithier, Eric Beuvier, Stephanie Minery, Marie Pierre Sanchez, M. El Jabri, A. Delacroix-Buchet, Mickael Brochard
Publikováno v:
Journal of Dairy Science
Journal of Dairy Science, American Dairy Science Association, 2018, 101 (11), pp.10048-10061. ⟨10.3168/jds.2018-14878⟩
Journal of Dairy Science, American Dairy Science Association, 2018, 101 (11), pp.10048-10061. ⟨10.3168/jds.2018-14878⟩
International audience; Cheese-making properties of pressed cooked cheeses (PCC) and soft cheeses (SC) were predicted from mid-infrared (MIR) spectra. The traits that were best predicted by MIR spectra (as determined by comparison with reference meas
Autor:
Valérie Wolf, Sébastien Taussat, Agnès Delacroix-Buchet, Eric Beuvier, Odile Rolet-Répécaud, Yves Gauzere, A. Barbat-Leterrier, Mickael Brochard, C. Laithier, Alexis Michenet, Didier Boichard, Marie Pierre Sanchez, Sébastien Fritz, M. El Jabri, Stephanie Minery
Publikováno v:
Journal of Dairy Science
Journal of Dairy Science, American Dairy Science Association, 2018, 101 (11), pp.10076-10081. ⟨10.3168/jds.2018-14986⟩
Journal of Dairy Science, American Dairy Science Association, 2018, 101 (11), pp.10076-10081. ⟨10.3168/jds.2018-14986⟩
International audience; In a previous study, we identified candidate causative variants located in 24 functional candidate genes for milk protein and fatty acid composition in Montbéliarde, Normande, and Holstein cows. We designed these variants on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8c321c79a455a4201f04e3336c7b2e61
https://hal.inrae.fr/hal-02623400
https://hal.inrae.fr/hal-02623400
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Akademický článek
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