Výsledky vyhledávání - "Mohammed EL JABRI"

Akademický článek

Sequence-based GWAS, network and pathway analyses reveal genes co-associated with milk cheese-making properties and milk composition in Montbéliarde cows

Autor: Marie-Pierre Sanchez, Yuliaxis Ramayo-Caldas, Valérie Wolf, Cécile Laithier, Mohammed El Jabri, Alexis Michenet, Mekki Boussaha, Sébastien Taussat, Sébastien Fritz, Agnès Delacroix-Buchet, Mickaël Brochard, Didier Boichard

Publikováno v: Genetics Selection Evolution, Vol 51, Iss 1, Pp 1-19 (2019)

Abstract 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-through

Externí odkaz: https://doaj.org/article/bd3ba43646fa4eaabfcdfcaab04205b8

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Akademický článek

Measurement Duration but Not Distance, Angle, and Neighbour-Proximity Affects Precision in Enteric Methane Emissions when Using the Laser Methane Detector Technique in Lactating Dairy Cows

Autor: Raphaël Boré, Thiphaine Bruder, Mohammed El Jabri, Margaret March, Paul R. Hargreaves, Benoît Rouillé, Richard J. Dewhurst, Mizeck G. G. Chagunda

Publikováno v: Animals, Vol 12, Iss 10, p 1295 (2022)

The laser methane detector (LMD), is a proprietary hand-held open path laser measuring device. Its measurements are based on infrared absorption spectroscopy using a semiconductor laser as a collimated excitation source. In the current study, LMD mea

Externí odkaz: https://doaj.org/article/7e365a077a024299bb6c05e42f4cb5f6

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Akademický článek

Analyse génétique de la « fromageabilité » du lait de vache prédite par spectrométrie dans le moyen infrarouge en race Montbéliarde

Autor: Marie-Pierre SANCHEZ, Valérie WOLF, Cécile LAITHIER, Mohammed EL JABRI, Éric BEUVIER, Odile ROLET-RÉPÉCAUD, Nicolas GAUDILLIÈRE, Stéphanie MINÉRY, Yuliaxis RAMAYO-CALDAS, Thierry TRIBOUT, Alexis MICHENET, Mekki BOUSSAHA, Sébastien TAUSSAT, Sébastien FRITZ, Agnès DELACROIX-BUCHET, Philippe GROSPERRIN, Mickaël BROCHARD, Didier BOICHARD

Publikováno v: INRAE Productions Animales, Vol 32, Iss 3 (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

Externí odkaz: https://doaj.org/article/bbcac6b0f6b64ae1a6af0b143b210cf3

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Analyse génétique de la « fromageabilité » du lait de vache prédite par spectrométrie dans le moyen infrarouge en race Montbéliarde

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)

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6e0a0fc5d745109489afc7c13538ecaf
https://doi.org/10.20870/productions-animales.2019.32.3.2950

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Towards a genomic evaluation of cheese-making traits including candidate SNP in Montbéliarde cows

Autor: Marie Pierre Sanchez, Thierry Tribout, Wolf, V., Nicolas Gaudilliere, Mohammed El Jabri, Sebastien Fritz, Cécile Laithier, AGNES DELACROIX-BUCHET, Cécile Brochard, Didier Boichard

Publikováno v: International Congress of Quantitative Genetics
International Congress of Quantitative Genetics, Nov 2020, Melbourne, Australia
70. annual meeting of the European Federation of Animal Science (EAAP)
70. annual meeting of the European Federation of Animal Science (EAAP), Aug 2019, Ghent, Belgium
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International audience

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::38d82aa7945f1a97662eb3bf18870a3c
https://hal.inrae.fr/hal-03155478

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An open-access computer image analysis (CIA) method to predict meat and fat content from an android smartphone-derived picture of the bovine 5th-6th rib

Autor: J. Normand, Benjamin Albouy-Kissi, Didier Micol, Bruno Meunier, Mohammed El Jabri, Muriel Bonnet

Publikováno v: Methods
Methods, Elsevier, 2020, ⟨10.1016/j.ymeth.2020.06.023⟩
Methods, Elsevier, 2020, 175, pp.105996. ⟨10.1016/j.ymeth.2020.06.023⟩
Methods, 2021, 186, pp.79-89. ⟨10.1016/j.ymeth.2020.06.023⟩

International audience; Marbling and rib composition are important attributes related to carcass yields and values, beef quality, consumer satisfaction and purchasing decisions. An open-access computer image analysis method based on a fresh beef rib

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7cfe4c269448cd99adbf5e617d4e9dad
https://hal.archives-ouvertes.fr/hal-03107425

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Sequence-based GWAS, network and pathway analyses reveal genes co-associated with milk cheese-making properties and milk composition in Montbéliarde cows

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
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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

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Identification of the significant factors in food quality using global sensitivity analysis and the accept-and-reject algorithm. Part II: Application to the cold chain of cooked ham

Autor: Annemie Geeraerd, Denis Flick, Hong-Minh Hoang, B. Hezard, Laurent Guillier, Adrienne Lintz, Dominique Thuault, Steven Duret, Onrawee Laguerre, Mohammed El Jabri, Sunny George Gwanpua, Valérie Stahl

Publikováno v: Journal of Food Engineering
Journal of Food Engineering, Elsevier, 2015, 148, pp.58-65. ⟨10.1016/j.jfoodeng.2014.09.038⟩
Journal of Food Engineering, 2015, 148, pp.58-65. ⟨10.1016/j.jfoodeng.2014.09.038⟩

[Departement_IRSTEA]Ecotechnologies [TR1_IRSTEA]SPEE; International audience; The aim of this manuscript is to apply the methodology proposed in an accompanying part I describing the different sources of variability in the cold chain of cooked ham al

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::deecf02bcbab61b9ed21118be4dcc7b8
https://hal.archives-ouvertes.fr/hal-01564759

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Dyggve-Melchiore-Clausen dysplasia (DMC): syndrome associated with a micropenis

Autor: Hanane, Latrech, Imane, Skiker, Yassamine, Bentata, Zayneb, Alami, O, Mouhib Lav, Oumnia Mouhib, Lah, Nouredine, Oulali, Nouffissa, Benajiba, S, Benmassoud, Mohammed, El Jabri, Ahmed, Gaouzi, M H, Gharbi, Mohammed El Hassan, Gharbi, Abdelmjid, Chradibi

Publikováno v: Pediatric endocrinology reviews : PER. 11(2)

Dyggve-Melchiore-Clausen (DMC) syndrome is a are autosomal recessive spondyloepimetaphyseal dysplasia associated with mental retardation resulting from mutations in the Dymeclin (DYM) gene mapped in the 18q12-12.1 chromosomal region. We report a case

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::bc286fd587e7132c5305100ff05e6ce7
https://pubmed.ncbi.nlm.nih.gov/24575553

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