Schwarz Tomasz, Węglarz Andrzej, Andres Krzysztof, Wojtysiak Dorota, Murawski Maciej, Ahmadi Behnaz, Bartlewski Pawel M, Ahmadi Bahareh
Department of Animal Genetics, Breeding and Ethology, University of Agriculture in Kraków, 24/28 Mickiewicza Avenue, 30-059 Cracow, Poland.
Department of Animal Reproduction, Anatomy and Genomics, University of Agriculture in Kraków, 24/28 Mickiewicza Avenue, 30-059 Cracow, Poland.
Animals (Basel). 2021 Dec 21;12(1):5. doi: 10.3390/ani12010005.
This study set out to examine associations among echotextural, physicochemical and sensory attributes of the pectoralis major muscles in 17-week-old organic turkeys (B.U.T. Big-6) varying in the amount of wheat and oat grain in daily feed rations (Group C: complete feed only; Group Exp1: 5-30% of wheat and 0-20% of oat; and Group Exp2: 5-50% of wheat and 0-50% of oat; = 15 turkeys/group). Digital ultrasonograms of the left pectoral muscle in four different planes (longitudinal-L, transverse-T, and two oblique planes-O1 and O2) were obtained with a 5.0-MHz linear-array transducer just before slaughter. Mean numerical pixel intensity (MPI) and pixel heterogeneity (MPH) of the muscle parenchyma were computed using the ImageProPlus analytical software. Ten significant correlations between echotextural attributes and various meat characteristics were recorded in Group C, one in Group Exp1, and eight in Group Exp2. When data were pooled for all birds studied, there were twelve significant correlations ( < 0.05); all but one correlation (between MPH and moisture) were for physical and sensory characteristics of meat samples. Computer-assisted analysis is a potential method to determine moisture as well as physical (e.g., coloration) and sensory (e.g., aroma) characteristics of pectoralis major muscles in organic turkeys.
本研究旨在考察17周龄有机火鸡（B.U.T. Big-6）胸大肌的回声纹理、物理化学和感官属性之间的关联，这些火鸡每日日粮中小麦和燕麦谷物的含量不同（C组：仅全价饲料；Exp1组：5%-30%小麦和0%-20%燕麦；Exp2组：5%-50%小麦和0%-50%燕麦；每组n = 15只火鸡）。在屠宰前，使用5.0兆赫线性阵列换能器在四个不同平面（纵向-L、横向-T以及两个斜平面-O1和O2）获取左侧胸肌的数字超声图像。利用ImagePro软件计算肌肉实质的平均数字像素强度（MPI）和像素异质性（MPH）。C组记录到回声纹理属性与各种肉品特性之间有10个显著相关性，Exp1组有1个，Exp2组有8个。当汇总所有研究鸟类的数据时，有12个显著相关性（P < 0.05）；除一个相关性（MPH与水分之间）外，所有相关性均针对肉品样本的物理和感官特性。计算机辅助分析是一种确定有机火鸡胸大肌水分以及物理特性（如色泽）和感官特性（如香气）的潜在方法。
