Association between nutritional values of hays fed to horses and sensory properties as perceived by human sight, touch and smell

作者: S. Julliand , C. Dacremont , C. Omphalius , C. Villot , V. Julliand

DOI: 10.1017/S1751731118003725

关键词:

摘要: Although hay is the foundation of most equine diets, horse owners rarely ask for biochemical analysis and routine practice to choose based on its 'perceived' nutritional value. The present study aimed at exploring relationship between sensory properties as perceived by sight, touch smell, value measured using a 'free sorting task' method. Fifty-four non-expert participants were asked individually to: (1) observe 21 hays samples, (2) group together that they similar each three modalities (hay appearance, odour or texture) (3) characterize formed with maximum five descriptive terms. For modality, results recorded in contingency matrix (hays × terms) where only terms cited minimum times least one sample, kept data analysis. A correspondence (CA) was performed plot both samples χ2 metric map. Then, Hierarchical Ascending Classification (HAC) coordinates CA space. Clusters identified truncating HAC tree-diagrams. attributes defined best resulting clusters computing their probability characterizing cluster. Correlations computed parameter hand, first two dimensions map other. Finally, correlations values dimension maps (appearance, computed. Hedonic primarily used describing texture modalities. spontaneously visual cues referring colour aspect. Based tree-diagrams from HAC, 3, 5 2 groups clustered, respectively description. Digestible energy correlated maps, whereas CP appearance only. While NDF second only, ADF content maps. Non-fibre carbohydrates similarity-based approach which part standard toolbox food evaluation untrained consumers well adapted animal feeds non-experts.

参考文章(20)
L. Lebart, Marie Piron, A. Morineau, Statistique exploratoire multidimensionnelle ,(1995)
Roland P. Carpenter, David H. Lyon, Terry A. Hasdell, What is sensory analysis used for Springer, Boston, MA. pp. 1- 11 ,(2000) , 10.1007/978-1-4615-4447-0_1
D. Andueza, A. M. Rodrigues, F. Picard, N. Rossignol, R. Baumont, U. Cecato, A. Farruggia, Relationships between botanical composition, yield and forage quality of permanent grasslands over the first growth cycle Grass and Forage Science. ,vol. 71, pp. 366- 378 ,(2016) , 10.1111/GFS.12189
M. H. Bruinenberg, H. Valk, H. Korevaar, P. C. Struik, Factors affecting digestibility of temperate forages from seminatural grasslands: a review Grass and Forage Science. ,vol. 57, pp. 292- 301 ,(2002) , 10.1046/J.1365-2494.2002.00327.X
P.J. Van Soest, J.B. Robertson, B.A. Lewis, Methods for dietary fiber, neutral detergent fiber, and nonstarch polysaccharides in relation to animal nutrition. Journal of Dairy Science. ,vol. 74, pp. 3583- 3597 ,(1991) , 10.3168/JDS.S0022-0302(91)78551-2
Pauline Faye, Damien Brémaud, Eric Teillet, Philippe Courcoux, Agnès Giboreau, Huguette Nicod, An alternative to external preference mapping based on consumer perceptive mapping Food Quality and Preference. ,vol. 17, pp. 604- 614 ,(2006) , 10.1016/J.FOODQUAL.2006.05.006
Carole Sester, Catherine Dacremont, Ophelia Deroy, Dominique Valentin, Investigating consumers’ representations of beers through a free association task: A comparison between packaging and blind conditions Food Quality and Preference. ,vol. 28, pp. 475- 483 ,(2013) , 10.1016/J.FOODQUAL.2012.11.005
Maya U. Shankar, Carmel A. Levitan, Charles Spence, Grape expectations: The role of cognitive influences in color–flavor interactions Consciousness and Cognition. ,vol. 19, pp. 380- 390 ,(2010) , 10.1016/J.CONCOG.2009.08.008
Sylvie Chollet, Maud Lelièvre, Hervé Abdi, Dominique Valentin, None, Sort and beer: Everything you wanted to know about the sorting task but did not dare to ask Food Quality and Preference. ,vol. 22, pp. 507- 520 ,(2011) , 10.1016/J.FOODQUAL.2011.02.004