Paper
14 September 2010 Cluster analysis application in research on pork quality determinants
W. Przybylski, P. Wasiewicz, P. Zieliński, J. Gromadzka-Ostrowska, E. Olczak, D. Jaworska, S. Niemyjski, V. Santé-Lhoutellier
Author Affiliations +
Proceedings Volume 7745, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2010; 77450Y (2010) https://doi.org/10.1117/12.872255
Event: Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2010, 2010, Wilga, Poland
Abstract
In this paper data mining methods were applied to investigate features determining high quality pork meat. The aim of the study was analysis of conditionality of the pork meat quality defined in coherence with HDL and LDL cholesterol concentration, plasma leptin, triglycerides, plasma glucose and serum. The research was carried out on 54 pigs. originated from crossbreeding of Naima sows with P76-PenArLan boars hybrids line. Meat quality parameters were evaluated in samples derived from the Longissimus (LD) muscle taken behind the last rib on the basis: the pH value, meat colour, drip loss, the RTN, intramuscular fat and glycolytic potential. The results of this study were elaborated by using R environment and show that cluster and regression analysis can be a useful tool for in-depth analysis of the determinants of the quality of pig meat in homogeneous populations of pigs. However, the question of determinants of the level of glycogen and fat in meat requires further research.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
W. Przybylski, P. Wasiewicz, P. Zieliński, J. Gromadzka-Ostrowska, E. Olczak, D. Jaworska, S. Niemyjski, and V. Santé-Lhoutellier "Cluster analysis application in research on pork quality determinants", Proc. SPIE 7745, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2010, 77450Y (14 September 2010); https://doi.org/10.1117/12.872255
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KEYWORDS
Analytical research

Plasma

Astronomy

Current controlled current source

Data mining

Glucose

Photonics

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