Differentiating Breast Myopathies through Color and Texture Analyses in Broiler

Wooden breast (WB), white striping (WS) and spaghetti meat (SM) are breast myopathies of the that greatly affect meat quality in broilers. To differentiate color and texture characteristics with instrumental methods, some of them applied for the first time in this species, 300 carcasses were randoml...

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Veröffentlicht in:Foods 2020-06, Vol.9 (6), p.824
Hauptverfasser: Campo, María Del Mar, Mur, Leticia, Guerrero, Ana, Barahona, Marta, Resconi, Virginia Celia, Magalhaes, Danielle Rodrigues, Lisbinski, Eduardo, Boito, Bruna, Oliveira, Ivanna Moraes de, Olleta, José Luis
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Sprache:eng
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Zusammenfassung:Wooden breast (WB), white striping (WS) and spaghetti meat (SM) are breast myopathies of the that greatly affect meat quality in broilers. To differentiate color and texture characteristics with instrumental methods, some of them applied for the first time in this species, 300 carcasses were randomly chosen from an abattoir from five different flocks from the same farm, at a rate of 60 carcasses from each flock. Twenty-four hours after slaughter, both side breasts were dissected, and yields calculated. Color was measured on the surface of the breast with a spectrocolorimeter and reflectance values obtained. Texture was measured on raw meat with a modified compression test that hinders the fiber from expanding transversally and a texture profile analysis (TPA) and also on cooked meat with a Warner-Bratzler shear and a TPA. Color differs between severity degrees, increasing redness (from -1.77 to -1.32 in WB) and, especially, yellowness (from 5.00 to 6.73 in WS) and chroma (from 5.75 to 7.22 in SM) with the severity of the myopathy. The subtraction R630 minus R580 was found to be a useful index to differentiate breast myopathies degrees. The modified compression test can be considered an effective tool to assess the hardness of different structures in each myopathy. Texture differences in the myopathies are better assessed in raw than in cooked meat.
ISSN:2304-8158
2304-8158
DOI:10.3390/foods9060824