The challenge and limitations of combining data: a case study examining the relationship between intramuscular fat content and flavour intensity based on the BIF-BEEF database
J. F. Hocquette A E , P. Meurice A , J. P. Brun A , C. Jurie A , C. Denoyelle B , D. Bauchart A , G. Renand C , G. R. Nute D and B. Picard A
+ Author Affiliations
- Author Affiliations
A INRA, UR1213, Unité de Recherches sur les Herbivores, Theix, 63122 Saint-Genès-Champanelle, France.
B Institut de l’Elevage, Service Qualité des Viandes, 149 rue de Bercy, 75595 Paris CEDEX 12, France.
C INRA, UMR1313, Génétique Animale et Biologie Intégrative, 78352 Jouy-en-Josas CEDEX, France.
D Division of Farm Animal Science, University of Bristol, Langford BS40 5DU, UK.
E Corresponding author. Email: jfhocquette@clermont.inra.fr
Animal Production Science 51(11) 975-981 https://doi.org/10.1071/AN10044
Submitted: 20 March 2010 Accepted: 29 August 2011 Published: 21 October 2011
Abstract
The BIF-BEEF (Beef Integrated and Functional Biology) data warehouse for muscle biology to predict beef quality gathers data related to bovines, their carcasses and their beef. These data come mainly from three sources: the INRA database named FiLiCol, the European GEMQUAL program and the French QUALVIGENE program databases plus other minor sources. At the beginning of 2011, the BIF-BEEF data warehouse contained 331 745 measurements for 621 variables. Measurements were obtained on eight muscles and/or from 5197 animals (mainly young bulls) belonging to 20 different breeds (mainly Charolais, Limousin, Blonde d’Aquitaine, the three major French beef breeds) from experiments carried out over a 10-year period. A web interface was developed to extract data and to analyse them using basic statistical tools (correlation, variance analysis, etc) with R software. Clearly, since the various experiments were not designed initially to ultimately link together, it appeared very difficult to integrate some data which differ a lot by units, scales or laboratory methods. Ontology will help to address these issues. However, the usefulness of the BIF-BEEF data warehouse is described by studying the relationship in M. longissimus thoracis between intramuscular fat content (IMF) and flavour assessed by sensory panels. When data from different sources or different sensory panels were used, they were corrected for these fixed factors in the regression model. They were also corrected for known sources of variation (sex, breed and age of the animals). On average, the relationship between IMF and flavour was low (partial correlation coefficient r = 0.11) but significant. This relationship was no more significant for breeds with low IMF levels (such as Blonde d’Aquitaine) or for animals with the highest IMF such as steers or females.
References
Albertí P, Panea B, Sañudo C, Olleta JL, Ripoll G, Ertbjerg P, Christensen M, Gigli S, Failla S, Concetti S, Hocquette JF, Jailler R, Rudel S, Renand G, Nute GR, Richardson I, Williams JL (2008) Live weight, body size and carcass characteristics of young bulls of fifteen European breeds. Livestock Science 114, 19–30.| Live weight, body size and carcass characteristics of young bulls of fifteen European breeds.Crossref | GoogleScholarGoogle Scholar |
Allais S, Leveziel H, Payet N, Hocquette JF, Lepetit J, Rousset S, Denoyelle C, Capel C, Journaux L, Bonnot A, Renand G (2010) The two mutations Q204X and nt821 of the myostatin gene affect carcass and meat quality in heterozygous young bulls of three French beef breeds. Journal of Animal Science 88, 446–454.
| The two mutations Q204X and nt821 of the myostatin gene affect carcass and meat quality in heterozygous young bulls of three French beef breeds.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3cXktVOqsbc%3D&md5=bc52a223dce46a9478b9fd1b60f3221dCAS |
Chartrin P, Meteau K, Juin H, Bernadet MD, Guy G, Larzul C, Remignon H, Mourot J, Duclos MJ, Baeza E (2006) Effects of intramuscular fat levels on sensory characteristics of duck breast meat. Poultry Science 85, 914–922.
Christensen M, Ertbjerg P, Failla S, Sañudo C, Richardson I, Nute GR, Olleta JL, Panea B, Albertí P, Juárez M, Hocquette JF, Williams JL (2011) Relationship between collagen characteristics, lipid content and raw and cooked texture of meat from young bulls of fifteen European breeds. Meat Science 87, 61–65.
| Relationship between collagen characteristics, lipid content and raw and cooked texture of meat from young bulls of fifteen European breeds.Crossref | GoogleScholarGoogle Scholar |
Cuvelier C, Cabaraux JF, Dufrasne I, Clinquart A, Hocquette JF, Istasse L, Hornick JL (2006) Comparison of composition and quality traits of meat from young finishing bulls from Belgian Blue, Limousin and Aberdeen Angus breeds. Meat Science 74, 522–531.
| Comparison of composition and quality traits of meat from young finishing bulls from Belgian Blue, Limousin and Aberdeen Angus breeds.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD28XotV2lsLs%3D&md5=806ec69ca091234e492cbb80cae99839CAS |
Denoyelle C (1995) Evolution de la flaveur de la viande bovine en fonction de la teneur en lipides intra-musculaires. Viandes et Produits Carnés 16, 89–92.
Destefanis G, Barge MT, Brugiapaglia A, Tassone S (2000) The use of principal component analysis (PCA) to characterize beef. Meat Science 56, 255–259.
| The use of principal component analysis (PCA) to characterize beef.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD3cXlsVOqs78%3D&md5=046ba2ed39469f5b8c8a64c72242142fCAS |
Dransfield E, Martin JF, Bauchart D, Abouelkaram S, Lepetit J, Culioli J, Jurie C, Picard B (2003) Meat quality and composition of three muscles from French cull cows and young bulls. Animal Science (Penicuik, Scotland) 76, 387–399.
Folch J, Lees M, Sloane-Stanley GHS (1957) A simple method of the isolation and purification of total lipids from animal tissues. The Journal of Biological Chemistry 226, 497–509.
Goutefongea R, Valin C (1978) Study of bovine meat quality. 2. Comparison of the organoleptic properties of cow and young bull meat. Annales de Technologie Agricole 27, 609–627.
Grunert KG, Bredahl L, Brunsø K (2004) Consumer perception of meat quality and implications for product development in the meat sector – a review. Meat Science 66, 259–272.
| Consumer perception of meat quality and implications for product development in the meat sector – a review.Crossref | GoogleScholarGoogle Scholar |
Hocquette JF, Gigli S (2005) The challenge of quality. In ‘Indicators of milk and beef quality’. EAAP publication 112. (Eds JF Hocquette, S Gigli) pp. 13–22. (Wageningen Academic Publishers: Wageningen, The Netherlands)
Hocquette JF, Bas P, Bauchart D, Vermorel M, Geay Y (1999) Fat partitioning and biochemical characteristics of fatty tissues in relation to plasma metabolites and hormones in normal and double-muscled young growing bulls. Comparative Biochemistry and Physiology – Part A: Molecular & Integrative Physiology 122, 127–138. Erratum, 1999. Comparative Biochemistry and Physiology – Part A: Molecular & Integrative Physiology 123, 311–312.
Hocquette JF, Gondret F, Baéza E, Médale F, Jurie C, Pethick W (2010) Intramuscular fat content in meat-producing animals: development, genetic and nutritional control, identification of putative markers. Animal 4, 303–319.
| Intramuscular fat content in meat-producing animals: development, genetic and nutritional control, identification of putative markers.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD1MXhs1Sls7rM&md5=027baec77c58d7adf062f69fbb093e8bCAS |
Hocquette JF, Capel C, Barbezant M, Gastinel PL, Le Bail PY, Monget P, Peyraud JL (2011) Global perspectives on trait ontology and phenotyping of livestock: examples from functional genomics and modeling in beef-producing animals. General assembly and annual workshop of ICAR 2011. In ‘New technologies and new challenges for breeding and herd management’. Bourg-en-Bresse, France, 22–24 June 2011. p. 21. (France Génétique Elevage: Paris)
Hughes LM, Bao J, Hu Z-L, Honavar V, Reecy JM (2008) Animal trait ontology: the importance and usefulness of a unified trait vocabulary for animal species. Journal of Animal Science 86, 1485–1491.
| Animal trait ontology: the importance and usefulness of a unified trait vocabulary for animal species.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD1cXmslOhtL4%3D&md5=1916586e19e4b64bc9ba7760d67aae01CAS |
Hurtaud C, Bugeon J, Dameron O, Fatet A, Hue I, Meunier-Salaün MC, Reichstadt M, Valancogne A, Vernet J, Reecy J, Park C, Le Bail PY (2011) ATOL: a new ontology for livestock. General assembly and annual workshop of ICAR 2011. In ‘New technologies and new challenges for breeding and herd management’. Bourg-en-Bresse, France, 22–24 June 2011. p. 23. (France Génétique Elevage: Paris)
INAO (2009) Notice technique définissant les critères minimaux à remplir pour l’obtention d’un label rouge en ‘Gros bovins de boucherie’. Available at http://www.inao.gouv.fr/public/home.php?pageFromIndex=textesPages/Label_rouge_(Guides_et_NT)410.php~mnu=410 [Verified November 2010]
Jurie C, Cassar-Malek I, Bonnet M, Leroux C, Bauchart D, Boulesteix P, Pethick DW, Hocquette JF (2007) Adipocyte fatty acid-binding protein and mitochondrial enzyme activities in muscles as relevant indicators of marbling in cattle. Journal of Animal Science 85, 2660–2669.
| Adipocyte fatty acid-binding protein and mitochondrial enzyme activities in muscles as relevant indicators of marbling in cattle.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD2sXhtFSjtrnO&md5=d661dc86e4b7a97da73c7815d2343b41CAS |
Leplaix-Charlat L, Durand D, Bauchart D (1996) Effects of diets containing tallow and soybean oil with and without cholesterol on hepatic metabolism of lipids and lipoproteins in the preruminant calf. Journal of Dairy Science 79, 1826–1835.
| Effects of diets containing tallow and soybean oil with and without cholesterol on hepatic metabolism of lipids and lipoproteins in the preruminant calf.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DyaK28XmslGntr4%3D&md5=cbc0470fbdd2fb58c0cbc7291e993168CAS |
Polkinghorne R, Watson R, Porter M, Gee A, Scott A, Thompson JM (1999) Meat Standards Australia, a ‘PACCP’ based beef grading scheme for consumers. 1. The use of consumer scores to set grade standards. Proceedings of the International Congress of Meat Science and Technology 45, 14–15.
Polkinghorne R, Thompson JM, Watson R, Gee A, Porter M (2008a) Evolution of the Meat Standards System (MSA) beef grading system. Australian Journal of Experimental Agriculture 48, 1351–1359.
| Evolution of the Meat Standards System (MSA) beef grading system.Crossref | GoogleScholarGoogle Scholar |
Polkinghorne R, Watson R, Thompson JM, Pethick DW (2008b) Current usage and future development of the Meat Standards Australia (MSA) grading system. Australian Journal of Experimental Agriculture 48, 1459–1464.
| Current usage and future development of the Meat Standards Australia (MSA) grading system.Crossref | GoogleScholarGoogle Scholar |
Reecy JM, Park CA, Hu Z-L, Hulsegge I, Van Der Steen H, Hocquette JF (2009) Global perspectives on animal trait ontology. In ‘Book of Abstracts of the 60th Annual Meeting of the European Association for Animal Production’, Barcelona 2009, p. 319. (Wageningen Academic Publishers, Wageningen, The Netherlands)
Schreurs NM, Garcia F, Jurie C, Agabriel J, Micol D, Bauchart D, Listrat A, Picard B (2008) Meta-analysis of the effect of animal maturity on muscle characteristics in different muscles, breeds, and sexes of cattle. Journal of Animal Science 86, 2872–2887.
| Meta-analysis of the effect of animal maturity on muscle characteristics in different muscles, breeds, and sexes of cattle.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD1cXhtlCnsLfE&md5=ba550088d67c5c1a422651c6c7a1d0f3CAS |
Smith GC, Tatum JD, Belk KE (2008) International perspective: characterisation of United States Department of Agriculture and Meat Standards Australia systems for assessing beef quality. Australian Journal of Experimental Agriculture 48, 1465–1480.
| International perspective: characterisation of United States Department of Agriculture and Meat Standards Australia systems for assessing beef quality.Crossref | GoogleScholarGoogle Scholar |
Thompson JM (2004) The effects of marbling on flavour and juiciness scores of cooked beef, after adjusting to a constant tenderness. Australian Journal of Experimental Agriculture 44, 645–652.
| The effects of marbling on flavour and juiciness scores of cooked beef, after adjusting to a constant tenderness.Crossref | GoogleScholarGoogle Scholar |
United States Department of Agriculture (USDA) (1996) ‘Standards for grades of slaughter cattle and standards for grades of carcass beef.’ Agricultural Marketing Services, USDA. (Government Printing Office: Washington, DC)
Valsta LM, Tapanainen H, Mannisto S (2005) Meat fats in nutrition. Meat Science 70, 525–530.
| Meat fats in nutrition.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD2MXktVKgt70%3D&md5=72c7aa14822d0904ac2ba07cfbc3e44eCAS |
Verbeke W, Wezemael LV, de Barcellos MD, Kügler JO, Hocquette JF, Ueland O, Grunert KG (2010) European beef consumers’ interest in a beef eating-quality guarantee: insights from a qualitative study in four EU countries. Appetite 54, 289–296.
| European beef consumers’ interest in a beef eating-quality guarantee: insights from a qualitative study in four EU countries.Crossref | GoogleScholarGoogle Scholar |
Von Seggern DD, Calkins CR, Johnson DD, Brickler JE, Gwartney BL (2005) Muscle profiling: characterizing the muscles of the beef chuck and round. Meat Science 71, 39–51.
| Muscle profiling: characterizing the muscles of the beef chuck and round.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD2MXmt1Wiu78%3D&md5=d16afce7d17dc1a031c632e899f72836CAS |
Watson R, Gee A, Polkinghorne R, Porter M (2008a) Consumer assessment of eating quality – development of protocols for Meat Standards Australia (MSA) testing. Australian Journal of Experimental Agriculture 48, 1360–1367.
| Consumer assessment of eating quality – development of protocols for Meat Standards Australia (MSA) testing.Crossref | GoogleScholarGoogle Scholar |
Watson R, Polkinghorne R, Thompson JM (2008b) Development of the Meat Standards Australia (MSA) prediction model for beef palatability. Australian Journal of Experimental Agriculture 48, 1368–1379.
| Development of the Meat Standards Australia (MSA) prediction model for beef palatability.Crossref | GoogleScholarGoogle Scholar |
Wheeler TL, Cundiff LV, Koch RM (1994) Effect of marbling degree on beef palatability in Bos taurus and Bos indicus cattle. Journal of Animal Science 72, 3145–3151.
Wood JD, Enser M, Fisher AV, Nute GR, Sheard PR, Richardson RI, Hughes SI, Whittington FM (2008) Fat deposition, fatty acid composition and meat quality: a review. Meat Science 78, 343–358.
| Fat deposition, fatty acid composition and meat quality: a review.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD1cXhsVCls7s%3D&md5=9b7545ba8e59a9c8efdb9df333c4e198CAS |
Wulf DM, Tatum JD, Green RD, Morgan JB, Golden BL, Smith GC (1996) Genetic influences on beef Longissimus palatability in Charolais- and Limousin-sired steers and heifers. Journal of Animal Science 74, 2394–2405.
