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Navarro-Gonzalez N, Fourichon C, Blanquefort P, Delafosse A, Joly A, Ngwa-Mbot D, Biet F, Boichard D, Schibler L, Journaux L, Meens E, Guatteo R. Longitudinal study of Mycobacterium avium ssp. paratuberculosis fecal shedding patterns and concurrent serological patterns in naturally infected dairy cattle. J Dairy Sci 2019; 102:9117-9137. [PMID: 31378491 DOI: 10.3168/jds.2018-15897] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2018] [Accepted: 06/12/2019] [Indexed: 11/19/2022]
Abstract
Mycobacterium avium ssp. paratuberculosis (MAP) is the etiological agent of paratuberculosis, a disease that affects ruminants worldwide. Despite global interest in the control of this disease, gaps exist in our knowledge of fecal shedding patterns and concurrent serological patterns. This longitudinal study in dairy cattle herds with high MAP seroprevalence in France aimed at accurately describing fecal shedding patterns over 1 year; relating those shedding patterns to individual animal characteristics (age, breed, parity); and exploring the association between fecal shedding patterns and serological patterns. To describe temporal fecal shedding patterns and continuity of shedding, along with the standard quantitative PCR (qPCR) threshold cycle we used a cutoff value that related to low or nonculturable fecal shedding. We also defined a threshold cycle indicative of shedding in high quantities to describe infection progression patterns. Twenty-one herds completed the study, and 782 cows were tested 4 times each. We obtained 4 sets of paired fecal qPCR and serum ELISA results from 757 cows. Although we targeted highly likely infectious animals, we found a large diversity of shedding patterns, as well as high variability between herds in the proportion of animals showing a given pattern. The fecal qPCR results of almost 20% of the final study sample were positioned at least once in the range that indicated low or nonculturable fecal shedding (between the adjusted and the standard cutoff value). Although these animals would typically be classified as non-shedders, they could be important to infection dynamics on the farm. Animals that shed at least twice consecutively and animals that shed in high quantities rarely reverted to negativity. Repeated fecal qPCR can be used to detect temporal fecal shedding traits, and the decision to cull an animal could practically be based on temporal, semiquantitative results. Overall, we found a mismatch between fecal shedding and ELISA seropositivity (637 animals were ELISA-negative 4 times, but only 13% of those animals were qPCR-negative 4 times). We found that having more than 2 ELISA-positive samples was strongly related to persistent and continuous shedding. We suggest that although serological testing is much less sensitive than qPCR, it can also be used, particularly over the course of multiple testing events, to identify animals that are most likely to contribute to the contamination of the farm environment.
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Affiliation(s)
| | | | | | | | - Alain Joly
- Groupement de Défense Sanitaire Bretagne, 56000 Vannes, France
| | | | - Franck Biet
- ISP, INRA, Université de Tours, 37380, Nouzilly, France
| | - Didier Boichard
- GABI, INRA, AgroParisTech, Université Paris Saclay, 78350 Jouy-en-Josas, France
| | | | | | - Eric Meens
- Groupement de Défense contre les Maladies des Animaux Seine Maritime, 76230 Bois-Guillaume, France
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Chriki S, Picard B, Faulconnier Y, Micol D, Brun JP, Reichstadt M, Jurie C, Durand D, Renand G, Journaux L, Hocquette JF. A Data Warehouse of Muscle Characteristics and Beef Quality in France and A Demonstration of Potential Applications. Italian Journal of Animal Science 2016. [DOI: 10.4081/ijas.2013.e41] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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Allais S, Levéziel H, Hocquette JF, Rousset S, Denoyelle C, Journaux L, Renand G. Fine mapping of quantitative trait loci underlying sensory meat quality traits in three French beef cattle breeds. J Anim Sci 2014; 92:4329-41. [PMID: 25149327 DOI: 10.2527/jas.2014-7868] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Improving the traits that underlie meat quality is a major challenge in the beef industry. The objective of this paper was to detect QTL linked to sensory meat quality traits in 3 French beef cattle breeds. We genotyped 1,059, 1,219, and 947 young bulls and their sires belonging to the Charolais, Limousin, and Blonde d'Aquitaine breeds, respectively, using the Illumina BovineSNP50 BeadChip (Illumina Inc., San Diego, CA). After estimating relevant genetic parameters using VCE software, we performed a linkage disequilibrium and linkage analysis on 4 meat traits: intramuscular fat content, muscle lightness, shear force, and tenderness score. Heritability coefficients largely ranged between 0.10 and 0.24; however, they reached a maximum of 0.44 and 0.50 for intramuscular fat content and tenderness score, respectively, in the Charolais breed. The 2 meat texture traits, shear force and tenderness score, were strongly genetically correlated (-0.91 in the Charolais and Limousin breed and -0.86 in the Blonde d'Aquitaine breed), indicating that they are 2 different measures of approximately the same trait. The genetic correlation between tenderness and intramuscular fat content differed across breeds. Using a significance threshold of 5 × 10(-4) for QTL detection, we found more than 200 significant positions across the 29 autosomal chromosomes for the 4 traits in the Charolais and Blonde d'Aquitaine breeds; in contrast, there were only 78 significant positions in the Limousin breed. Few QTL were common across breeds. We detected QTL for intramuscular fat content located near the myostatin gene in the Charolais and Blonde d'Aquitaine breeds. No mutation in this gene has been reported for the Blonde d'Aquitaine breed; therefore, it suggests that an unknown mutation could be segregating in this breed. We confirmed that, in certain breeds, markers in the calpastatin and calpain 1 gene regions affect tenderness. We also found new QTL as several QTL on chromosome 3 that are significantly associated with meat tenderness in the Blonde d'Aquitaine breed. Overall, these results greatly contribute to the goal of building a panel of markers that can be used to select animals of high meat quality.
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Affiliation(s)
- S Allais
- INRA, AgroParisTech, UMR1313 Unité de Génétique Animale et Biologie Intégrative, F-78350 Jouy-en-Josas, France Union Nationale des Coopératives agricoles d'Elevage et d'Insémination Animale, F-75595 Paris Cedex 12, France
| | - H Levéziel
- INRA, Université de Limoges, UMR1061 Unité de Génétique Moléculaire Animale, F-87060 Limoges, France
| | - J F Hocquette
- INRA, VetAgro Sup, UMR1213, Recherches sur les Herbivores, F-63122 Saint Genès Champanelle, France
| | - S Rousset
- INRA, Clermont Université, UMR1019 Unité de Nutrition Humaine, Centre de Recherches en Nutrition Humaine d'Auvergne, F-63001 Clermont-Ferrand, France
| | - C Denoyelle
- Institut de l'Elevage, F-75595 Paris Cedex 12, France
| | - L Journaux
- Institut de l'Elevage, F-75595 Paris Cedex 12, France
| | - G Renand
- INRA, Clermont Université, UMR1019 Unité de Nutrition Humaine, Centre de Recherches en Nutrition Humaine d'Auvergne, F-63001 Clermont-Ferrand, France
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Gobet A, Mayet A, Journaux L, Dia A, Aigle L, Dubrous P, Michel R. Mumps among highly vaccinated people: investigation of an outbreak in a French Military Parachuting Unit, 2013. J Infect 2013; 68:101-2. [PMID: 24035994 DOI: 10.1016/j.jinf.2013.09.004] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2013] [Revised: 09/02/2013] [Accepted: 09/05/2013] [Indexed: 10/26/2022]
Affiliation(s)
- A Gobet
- Centre d'épidémiologie et de santé publique des armées, Marseille, France
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Allais-Bonnet A, Grohs C, Medugorac I, Krebs S, Djari A, Graf A, Fritz S, Seichter D, Baur A, Russ I, Bouet S, Rothammer S, Wahlberg P, Esquerré D, Hoze C, Boussaha M, Weiss B, Thépot D, Fouilloux MN, Rossignol MN, van Marle-Köster E, Hreiðarsdóttir GE, Barbey S, Dozias D, Cobo E, Reversé P, Catros O, Marchand JL, Soulas P, Roy P, Marquant-Leguienne B, Le Bourhis D, Clément L, Salas-Cortes L, Venot E, Pannetier M, Phocas F, Klopp C, Rocha D, Fouchet M, Journaux L, Bernard-Capel C, Ponsart C, Eggen A, Blum H, Gallard Y, Boichard D, Pailhoux E, Capitan A. Novel insights into the bovine polled phenotype and horn ontogenesis in Bovidae. PLoS One 2013; 8:e63512. [PMID: 23717440 PMCID: PMC3661542 DOI: 10.1371/journal.pone.0063512] [Citation(s) in RCA: 67] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2013] [Accepted: 04/02/2013] [Indexed: 11/25/2022] Open
Abstract
Despite massive research efforts, the molecular etiology of bovine polledness and the developmental pathways involved in horn ontogenesis are still poorly understood. In a recent article, we provided evidence for the existence of at least two different alleles at the Polled locus and identified candidate mutations for each of them. None of these mutations was located in known coding or regulatory regions, thus adding to the complexity of understanding the molecular basis of polledness. We confirm previous results here and exhaustively identify the causative mutation for the Celtic allele (PC) and four candidate mutations for the Friesian allele (PF). We describe a previously unreported eyelash-and-eyelid phenotype associated with regular polledness, and present unique histological and gene expression data on bovine horn bud differentiation in fetuses affected by three different horn defect syndromes, as well as in wild-type controls. We propose the ectopic expression of a lincRNA in PC/p horn buds as a probable cause of horn bud agenesis. In addition, we provide evidence for an involvement of OLIG2, FOXL2 and RXFP2 in horn bud differentiation, and draw a first link between bovine, ovine and caprine Polled loci. Our results represent a first and important step in understanding the genetic pathways and key process involved in horn bud differentiation in Bovidae.
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Affiliation(s)
- Aurélie Allais-Bonnet
- Institut National de la Recherche Agronomique, UMR 1198 Biologie du Développement et Reproduction, Jouy-en-Josas, France
| | - Cécile Grohs
- Institut National de la Recherche Agronomique, UMR1313 Génétique Animale et Biologie Intégrative, Jouy-en-Josas, France
| | - Ivica Medugorac
- Chair of Animal Genetics and Husbandry, Ludwig-Maximilians-University Munich, Munich, Germany
| | - Stefan Krebs
- Laboratory for Functional Genome Analysis, Gene Center, Ludwig-Maximilians-University Munich, Munich, Germany
| | - Anis Djari
- Institut National de la Recherche Agronomique, Plateforme bioinformatique Genotoul, UR875 Biométrie et Intelligence Artificielle, Castanet-Tolosan, France
| | - Alexander Graf
- Laboratory for Functional Genome Analysis, Gene Center, Ludwig-Maximilians-University Munich, Munich, Germany
| | - Sébastien Fritz
- Institut National de la Recherche Agronomique, UMR1313 Génétique Animale et Biologie Intégrative, Jouy-en-Josas, France
- National Association of Livestock & Artificial Insemination Cooperatives, Paris, France
| | | | - Aurélia Baur
- Institut National de la Recherche Agronomique, UMR1313 Génétique Animale et Biologie Intégrative, Jouy-en-Josas, France
- National Association of Livestock & Artificial Insemination Cooperatives, Paris, France
| | - Ingolf Russ
- Tierzuchtforschung e.V. München, Grub, Germany
| | - Stéphan Bouet
- Institut National de la Recherche Agronomique, UMR1313 Génétique Animale et Biologie Intégrative, Jouy-en-Josas, France
| | - Sophie Rothammer
- Chair of Animal Genetics and Husbandry, Ludwig-Maximilians-University Munich, Munich, Germany
| | - Per Wahlberg
- Institut National de la Recherche Agronomique, UMR1313 Génétique Animale et Biologie Intégrative, Jouy-en-Josas, France
| | - Diane Esquerré
- GeT-PlaGe, Genotoul, Castanet-Tolosan, France
- Institut National de la Recherche Agronomique, UMR444 Génétique Cellulaire, Castanet-Tolosan, France
| | - Chris Hoze
- Institut National de la Recherche Agronomique, UMR1313 Génétique Animale et Biologie Intégrative, Jouy-en-Josas, France
- National Association of Livestock & Artificial Insemination Cooperatives, Paris, France
| | - Mekki Boussaha
- Institut National de la Recherche Agronomique, UMR1313 Génétique Animale et Biologie Intégrative, Jouy-en-Josas, France
| | - Bernard Weiss
- Institut National de la Recherche Agronomique, UMR1313 Génétique Animale et Biologie Intégrative, Jouy-en-Josas, France
| | - Dominique Thépot
- Institut National de la Recherche Agronomique, UMR 1198 Biologie du Développement et Reproduction, Jouy-en-Josas, France
| | | | | | - Este van Marle-Köster
- Department of Animal & Wildlife Sciences, University of Pretoria, Pretoria, South Africa
| | | | - Sarah Barbey
- Institut National de la Recherche Agronomique, UE0326 Domaine expérimental du Pin-au-Haras, Exmes, France
| | - Dominique Dozias
- Institut National de la Recherche Agronomique, UE0326 Domaine expérimental du Pin-au-Haras, Exmes, France
| | - Emilie Cobo
- Institut National de la Recherche Agronomique, UE0326 Domaine expérimental du Pin-au-Haras, Exmes, France
| | | | | | | | | | | | | | - Daniel Le Bourhis
- Institut National de la Recherche Agronomique, UMR 1198 Biologie du Développement et Reproduction, Jouy-en-Josas, France
- National Association of Livestock & Artificial Insemination Cooperatives, Paris, France
| | - Laetitia Clément
- National Association of Livestock & Artificial Insemination Cooperatives, Paris, France
| | - Laura Salas-Cortes
- National Association of Livestock & Artificial Insemination Cooperatives, Paris, France
| | - Eric Venot
- Institut National de la Recherche Agronomique, UMR1313 Génétique Animale et Biologie Intégrative, Jouy-en-Josas, France
| | - Maëlle Pannetier
- Institut National de la Recherche Agronomique, UMR 1198 Biologie du Développement et Reproduction, Jouy-en-Josas, France
| | - Florence Phocas
- Institut National de la Recherche Agronomique, UMR1313 Génétique Animale et Biologie Intégrative, Jouy-en-Josas, France
| | - Christophe Klopp
- Institut National de la Recherche Agronomique, Plateforme bioinformatique Genotoul, UR875 Biométrie et Intelligence Artificielle, Castanet-Tolosan, France
| | - Dominique Rocha
- Institut National de la Recherche Agronomique, UMR1313 Génétique Animale et Biologie Intégrative, Jouy-en-Josas, France
| | | | - Laurent Journaux
- National Association of Livestock & Artificial Insemination Cooperatives, Paris, France
| | | | - Claire Ponsart
- National Association of Livestock & Artificial Insemination Cooperatives, Paris, France
| | - André Eggen
- Institut National de la Recherche Agronomique, UMR1313 Génétique Animale et Biologie Intégrative, Jouy-en-Josas, France
| | - Helmut Blum
- Laboratory for Functional Genome Analysis, Gene Center, Ludwig-Maximilians-University Munich, Munich, Germany
| | - Yves Gallard
- Institut National de la Recherche Agronomique, UE0326 Domaine expérimental du Pin-au-Haras, Exmes, France
| | - Didier Boichard
- Institut National de la Recherche Agronomique, UMR1313 Génétique Animale et Biologie Intégrative, Jouy-en-Josas, France
| | - Eric Pailhoux
- Institut National de la Recherche Agronomique, UMR 1198 Biologie du Développement et Reproduction, Jouy-en-Josas, France
| | - Aurélien Capitan
- Institut National de la Recherche Agronomique, UMR1313 Génétique Animale et Biologie Intégrative, Jouy-en-Josas, France
- National Association of Livestock & Artificial Insemination Cooperatives, Paris, France
- * E-mail:
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Chriki S, Gardner GE, Jurie C, Picard B, Micol D, Brun JP, Journaux L, Hocquette JF. Cluster analysis application identifies muscle characteristics of importance for beef tenderness. BMC Biochem 2012; 13:29. [PMID: 23259756 PMCID: PMC3544649 DOI: 10.1186/1471-2091-13-29] [Citation(s) in RCA: 48] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/26/2012] [Accepted: 12/17/2012] [Indexed: 11/10/2022]
Abstract
BACKGROUND An important controversy in the relationship between beef tenderness and muscle characteristics including biochemical traits exists among meat researchers. The aim of this study is to explain variability in meat tenderness using muscle characteristics and biochemical traits available in the Integrated and Functional Biology of Beef (BIF-Beef) database. The BIF-Beef data warehouse contains characteristic measurements from animal, muscle, carcass, and meat quality derived from numerous experiments. We created three classes for tenderness (high, medium, and low) based on trained taste panel tenderness scores of all meat samples consumed (4,366 observations from 40 different experiments). For each tenderness class, the corresponding means for the mechanical characteristics, muscle fibre type, collagen content, and biochemical traits which may influence tenderness of the muscles were calculated. RESULTS Our results indicated that lower shear force values were associated with more tender meat. In addition, muscles in the highest tenderness cluster had the lowest total and insoluble collagen contents, the highest mitochondrial enzyme activity (isocitrate dehydrogenase), the highest proportion of slow oxidative muscle fibres, the lowest proportion of fast-glycolytic muscle fibres, and the lowest average muscle fibre cross-sectional area. Results were confirmed by correlation analyses, and differences between muscle types in terms of biochemical characteristics and tenderness score were evidenced by Principal Component Analysis (PCA). When the cluster analysis was repeated using only muscle samples from m. Longissimus thoracis (LT), the results were similar; only contrasting previous results by maintaining a relatively constant fibre-type composition between all three tenderness classes. CONCLUSION Our results show that increased meat tenderness is related to lower shear forces, lower insoluble collagen and total collagen content, lower cross-sectional area of fibres, and an overall fibre type composition displaying more oxidative fibres than glycolytic fibres.
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Affiliation(s)
- Sghaier Chriki
- INRA, UMR1213, Recherches sur les Herbivores, Saint Genès Champanelle, F-63122, France
- INRA, VetAgro Sup, UMR1213, Recherches sur les Herbivores, Theix Saint Genès Champanelle, F-63122, France
- UNCEIA, Paris Cedex, 12,75595, France
| | | | - Catherine Jurie
- INRA, UMR1213, Recherches sur les Herbivores, Saint Genès Champanelle, F-63122, France
- INRA, VetAgro Sup, UMR1213, Recherches sur les Herbivores, Theix Saint Genès Champanelle, F-63122, France
| | - Brigitte Picard
- INRA, UMR1213, Recherches sur les Herbivores, Saint Genès Champanelle, F-63122, France
- INRA, VetAgro Sup, UMR1213, Recherches sur les Herbivores, Theix Saint Genès Champanelle, F-63122, France
| | - Didier Micol
- INRA, UMR1213, Recherches sur les Herbivores, Saint Genès Champanelle, F-63122, France
- INRA, VetAgro Sup, UMR1213, Recherches sur les Herbivores, Theix Saint Genès Champanelle, F-63122, France
| | - Jean-Paul Brun
- INRA, UMR1213, Recherches sur les Herbivores, Saint Genès Champanelle, F-63122, France
- INRA, VetAgro Sup, UMR1213, Recherches sur les Herbivores, Theix Saint Genès Champanelle, F-63122, France
| | | | - Jean-Francois Hocquette
- INRA, UMR1213, Recherches sur les Herbivores, Saint Genès Champanelle, F-63122, France
- INRA, VetAgro Sup, UMR1213, Recherches sur les Herbivores, Theix Saint Genès Champanelle, F-63122, France
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Chriki S, Picard B, Jurie C, Reichstadt M, Micol D, Brun JP, Journaux L, Hocquette JF. Meta-analysis of the comparison of the metabolic and contractile characteristics of two bovine muscles: Longissimus thoracis and semitendinosus. Meat Sci 2012; 91:423-9. [DOI: 10.1016/j.meatsci.2012.02.026] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2010] [Revised: 02/16/2012] [Accepted: 02/23/2012] [Indexed: 11/16/2022]
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Boichard D, Guillaume F, Baur A, Croiseau P, Rossignol MN, Boscher MY, Druet T, Genestout L, Colleau JJ, Journaux L, Ducrocq V, Fritz S. Genomic selection in French dairy cattle. Anim Prod Sci 2012. [DOI: 10.1071/an11119] [Citation(s) in RCA: 69] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Genomic selection is implemented in French Holstein, Montbéliarde, and Normande breeds (70%, 16% and 12% of French dairy cows). A characteristic of the model for genomic evaluation is the use of haplotypes instead of single-nucleotide polymorphisms (SNPs), so as to maximise linkage disequilibrium between markers and quantitative trait loci (QTLs). For each trait, a QTL-BLUP model (i.e. a best linear unbiased prediction model including QTL random effects) includes 300–700 trait-dependent chromosomal regions selected either by linkage disequilibrium and linkage analysis or by elastic net. This model requires an important effort to phase genotypes, detect QTLs, select SNPs, but was found to be the most efficient one among all tested ones. QTLs are defined within breed and many of them were found to be breed specific. Reference populations include 1800 and 1400 bulls in Montbéliarde and Normande breeds. In Holstein, the very large reference population of 18 300 bulls originates from the EuroGenomics consortium. Since 2008, ~65 000 animals have been genotyped for selection by Labogena with the 50k chip. Bulls genomic estimated breeding values (GEBVs) were made official in June 2009. In 2010, the market share of the young bulls reached 30% and is expected to increase rapidly. Advertising actions have been undertaken to recommend a time-restricted use of young bulls with a limited number of doses. In January 2011, genomic selection was opened to all farmers for females. Current developments focus on the extension of the method to a multi-breed context, to use all reference populations simultaneously in genomic evaluation.
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Allais S, Journaux L, Levéziel H, Payet-Duprat N, Raynaud P, Hocquette JF, Lepetit J, Rousset S, Denoyelle C, Bernard-Capel C, Renand G. Effects of polymorphisms in the calpastatin and µ-calpain genes on meat tenderness in 3 French beef breeds1. J Anim Sci 2011; 89:1-11. [DOI: 10.2527/jas.2010-3063] [Citation(s) in RCA: 69] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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Yavari-Sartakhti O, Gaubert J, Fournier A, Journaux L. [Ethmoid fracture]. Rev Prat 2011; 61:10. [PMID: 21452533] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 05/30/2023]
Affiliation(s)
- Olivier Yavari-Sartakhti
- Service médical d'unité du 1er régiment de parachutistes d'infanterie de marine, 64109 Bayonne Cedex.
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Allais S, Levéziel H, Payet-Duprat N, Hocquette JF, Lepetit J, Rousset S, Denoyelle C, Bernard-Capel C, Journaux L, Bonnot A, Renand G. The two mutations, Q204X and nt821, of the myostatin gene affect carcass and meat quality in young heterozygous bulls of French beef breeds1. J Anim Sci 2010; 88:446-54. [DOI: 10.2527/jas.2009-2385] [Citation(s) in RCA: 49] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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Martin F, Cayot N, Marin A, Journaux L, Cayot P, Gervais P, Cachon R. Effect of oxidoreduction potential and of gas bubbling on rheological properties and microstructure of acid skim milk gels acidified with glucono-δ-lactone. J Dairy Sci 2009; 92:5898-906. [DOI: 10.3168/jds.2009-2491] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
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