2018
DOI: 10.1080/19476337.2018.1448457
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Application of the support sensory system and principal component analysis to compare meat of chickens of two genotypes

Abstract: (2018) Application of the support sensory system and principal component analysis to compare meat of chickens of two genotypes, CyTA -Journal of Food, 16:1, 667-671, DOI: 10.1080/19476337.2018 To link to this article: https://doi.org/10. 1080/19476337.2018 Sensory quality of roasted breast muscles of two genotypes of chickens kept for 9 weeks of life in an outdoor or indoor system was tested by Quantitative Descriptive Analysis (QDA). After roasting in a convective-steam oven, 72 individual pectoral muscles o… Show more

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Cited by 7 publications
(3 citation statements)
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“…The PCA was conducted to provide easy visualization of the relationships among proximate composition (protein, moisture, fat, and ash), meat physical characteristics (pH, color in terms of L*, a*, and b*, drip loss, and shear force), collagen content (total and insoluble collagen), and nucleic acid content (AMP, IMP, and inosine) of Ufipa and commercial chicken meat. The loadings in the PCA loading plot expressed how the same PC explained correlated variables, and less correlated variables were explained by different PC ( Belhaj et al, 2021 ; Chen et al, 2016 ; Michalczuk et al, 2018 ). Results for PCA applied to parameter values are summarized in Fig.…”
Section: Resultsmentioning
confidence: 99%
“…The PCA was conducted to provide easy visualization of the relationships among proximate composition (protein, moisture, fat, and ash), meat physical characteristics (pH, color in terms of L*, a*, and b*, drip loss, and shear force), collagen content (total and insoluble collagen), and nucleic acid content (AMP, IMP, and inosine) of Ufipa and commercial chicken meat. The loadings in the PCA loading plot expressed how the same PC explained correlated variables, and less correlated variables were explained by different PC ( Belhaj et al, 2021 ; Chen et al, 2016 ; Michalczuk et al, 2018 ). Results for PCA applied to parameter values are summarized in Fig.…”
Section: Resultsmentioning
confidence: 99%
“…Sensory evaluation of cooked chicken breast hams was performed according to the procedure and method of quantitative descriptive analysis (QDA) described by Michalczuk et al (2018) with minor modification. The cooked chicken breast hams were cut into strips (approximately 4 × 1 × 1 cm 3 ), and the samples were placed in plastic containers and placed in a 45°C incubator until served to sensory panels.…”
Section: Methodsmentioning
confidence: 99%
“…The principal component (PC) analysis technique can help to elucidate the relationship of various traits in growth characteristics (BW, ADG, and BrC), purine content, uric acid, and SOD in purebred and crossbred Thai native chickens. The PC plot expressed how the same PC explained correlated variables, and less correlated variables were explained by different PCs ( 72 , 73 ). The results found this time, the PC1 was primarily associated with growth traits, with a positive correlation between traits evident from body weight at 2 weeks of age onwards.…”
Section: Discussionmentioning
confidence: 99%