scholarly journals Correlations between first order echotextural characteristics and chemical composition of pectoralis major muscles in broiler chickens receiving different dietary fat supplements

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Bahareh Ahmadi ◽  
Mark Jamieson ◽  
Behnaz Ahmadi ◽  
Katarzyna Połtowicz ◽  
Joanna Nowak ◽  
...  

Abstract This study examined the quantitative relationships among ultrasonographic image attributes and chemical composition of the pectoralis major muscles in broiler chickens that received four different dietary fat supplements (Group SO: soybean oil; Group FO: flaxseed oil; Group SO+FO: soybean oil+flaxseed oil; and Group BT: beef tallow; n=10 birds/group). Ultrasonograms of birds’ pectoral muscles, in a transverse (T) and longitudinal (L) plane, were obtained just before slaughter at 6 weeks of age and were subjected to digital image analyses to determine mean pixel intensity (MPI) and pixel heterogeneity values (standard deviation of numerical pixel values; MPH; a.k.a first order echotextural characteristics). Thirty-eight chemical characteristics of the muscles were determined post-mortem (crude fat, protein, and dry matter as well as fatty acid profiles) and were analyzed for correlations with the echotextural variables. A total of 12 (L-MPI: 7; L-MPH: 4; and T-MPH: 1 correlation), 5 (L-MPI: 2; L-MPH: 2; and T-MPI: 1 correlation), 15 (L-MPI: 10; T-MPI: 4; and T-MPH: 1 correlation) and 8 (L-MPI: 2; L-MPH: 1; and TMPH: 5 correlations) significant correlations were recorded in Groups SO, FO, SO+FO and BT, respectively. When the data were pooled for all 40 birds studied, significant correlations with echotextural attributes were recorded for eighteen different chemical constituents, with the strongest overall correlation found between crude fat content and T-MPI (r=0.52, P=0.0005). In conclusion, there exists a potential application for ultrasonographic imaging in situ combined with computerized image analysis to estimate certain chemical constituents of pectoralis major muscles in broiler chickens. However, the existence and strength of correlations among ultrasonographic image attributes and muscle composition are affected by the source of dietary fat and relative abundance (“threshold concentrations”) of individual chemical components.

Animals ◽  
2019 ◽  
Vol 9 (6) ◽  
pp. 306 ◽  
Author(s):  
Tomasz Schwarz ◽  
Katarzyna Połtowicz ◽  
Joanna Nowak ◽  
Maciej Murawski ◽  
Martyna M. Małopolska ◽  
...  

This study examined the relationships among physicochemical properties and ultrasonographic image attributes of pectoralis major muscles in broiler chickens. Forty male Ross 308 chicks were randomly assigned to four equinumerous fat-supplementation groups (Group SO: soybean oil; Group FO: flax oil; Group SO + FO: soybean oil + flax oil; and Group BF: beef fat). Ultrasonograms of birds’ pectoral muscles were obtained just before slaughter at 6 weeks of age and were subjected to digital image analyses to determine the mean pixel intensity (MPI) and pixel heterogeneity values (standard deviation of numerical pixel values; MPH). A total of 2, 4, 2, and 6 significant correlations were recorded in Groups SO, FO, SO + FO, and BF, respectively; there were no correlations with the chemical composition of the muscles in Groups SO and SO + FO. The strongest correlations were found between muscle lightness (L*) and MPH in Group BF (physical characteristic; r = −0.82, p = 0.003), and between crude fat/protein content and MPI/MPH of pectoral the major muscles in Groups FO/BF (chemical characteristics; r = 0.72, p = 0.02). There exists a potential application of ultrasonographic imaging and computerized image analysis for predicting certain physicochemical properties of pectoralis major muscles in broiler chickens.


2010 ◽  
Vol 79 (9) ◽  
pp. S21-S28 ◽  
Author(s):  
Tereza Krejčí-Treu ◽  
Eva Straková ◽  
Pavel Suchý ◽  
Ivan Herzig

The main objective of this work was to compare the effect of six vegetable oils added to feeding mixtures that were administered to broiler chickens on the content of major fatty acids in chicken meat. The experiment started with 90 one-day-old Ross 308 meat hybrid male chickens that were divided into six groups. Chickens were fed complete feeding mixtures for the prefattening (BR1), fattening (BR2), and post-fattening (BR3) of broiler chickens. The BR1 feeding mixture was administered to chickens aged 1-10 days, the BR2 feeding mixture was given from Day 11 to Day 30, and the BR3 feeding mixture was then administered until Day 42. The BR1 feeding mixture that was administered to all six groups during the first ten days of the experiment was supplemented with soybean oil. BR2 and BR3 feeding mixtures used to feed chickens aged 11-42 days were fortified with soybean oil (SO Group), rapeseed oil (RO Group), sunflower oil (SFO Group), flaxseed oil (FO Group), olive oil (OO Group), and evening primrose oil (EPO Group). The vegetable oils used differed by the composition of fatty acids, particularly by the content of oleic acid, linoleic acid, α-linolenic acid. The use of the above-described experimental diets in young broilers from Day 11 to 42 had a significant effect on the content of fatty acids in the fat from breast and thigh muscles. The content of α-linolenic acid in breast and thigh muscles of broilers that received the feed containing flaxseed oil (21.16 g/100 g of oil and 17.13 g/100 g of oil, respectively) significantly increased (p ⪬ 0.01). The highest content of linoleic acid (p ⪬ 0.01) in breast and thigh muscles was found in chickens that were fed the feed containing primrose oil (59.13 g/100 g and 51.71 g/100 g). A significant increase (p ⪬ 0.01) in the level of oleic acid was detected in both breast and thigh muscles of broilers that received olive oil fortified feed (52.44 g/100 g and 43.70 g/100 g of oil). No significant variation was found in the content of palmitic acid and palmitooleic acid. The levels of oleic acid, linoleic acid and α-linolenic acid in feeding mixtures correlated with those found in breast and thigh muscles (r = 0.88; 0.94 and 0.99; r = 0.99; 0.98 and 0.99).


2000 ◽  
Vol 135 (4) ◽  
pp. 409-417 ◽  
Author(s):  
P. C. GARNSWORTHY ◽  
J. WISEMAN ◽  
K. FEGEROS

Near infrared spectroscopy (NIRS) is widely used in the flour milling industry for rapid determination of moisture and protein in wheat. However, these measurements give little indication of the nutritive value of wheat when fed to poultry or pigs. Accurate estimates of nutritive value require specialist facilities and are time-consuming and costly. Accordingly, prediction from chemical or NIRS measurements would be of some considerable benefit. In the current study 160 samples of wheat, representing 24 different varieties, were used to generate NIRS calibration equations for chemical, nutritive and agronomic characteristics. Predictions of chemical constituents in wheat were very accurate. Coefficients of determination (r2) were 0·94 for dry matter, 0·90 for crude protein, 0·97 for ash, 0·78 for starch and 0·98 for oil. True metabolizable energy in broiler chickens was predicted more accurately (r2 = 0·52 for adult birds, 0·74 for young birds) than apparent metabolizable energy (r2 = 0·45). Digestible energy (r2 = 0·17) and nitrogen digestibility (r = 0·22) in pigs were not predicted very accurately on a smaller subset (n = 33). Agronomic characteristics were predicted very accurately (r2 = 0·98 hardness, 0·80 bushel weight, 0·99 thousand-grain weight). Predictions of nutritive value of wheat from chemical or agronomic characteristics are very inaccurate, since coefficients of determination vary from zero to 0·25. It is concluded that NIRS can accurately estimate the chemical composition of wheat, but accurate prediction of nutritive value is reduced by animal variation. Nevertheless, NIRS is potentially more reliable for assessing nutritive value than chemical composition or agronomic characteristics.


2021 ◽  
Author(s):  
Tomasz Schwarz ◽  
Andrzej Węglarz ◽  
Krzysztof Andres ◽  
Dorota Wojtysiak ◽  
Maciej Murawski ◽  
...  

Abstract Background: One of the challenges of the contemporary meat industry is to obtain reliable information on meat quality throughout the entire production cycle. Previous studies have shown that computerized analysis of muscle ultrasonograms is a promising method to predict certain characteristics of skeletal muscles in live birds. Methods: The present study set out to examine associations among echotextural, physicochemical and sensory attributes of the pectoralis major muscles in 17-week old (B.U.T.) Big-6 turkeys raised in a sustainable farming system, and varying in the amount of wheat and oat grain in daily feed rations (Group C: complete feed only; Group Exp 1: 5 to 30% of wheat and 0 to 20% of oat; and Group Exp2: 5 to 50% of wheat and 0 to 50% of oat; n = 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. First-order echotextural variables (mean numerical pixel intensity-MPI and pixel heterogeneity-MPH) of the muscle parenchyma were computed using the ImageProPlusâ analytical software. Physicochemical and sensory attributes of the pectoral muscles were determined using validated laboratory and analytical methods. Results. Twelve 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 (P < 0.05); all but one correlation (between MPH and moisture) were for physical and sensory characteristics of meat samples. The strongest overall correlation was between O1-MPH and aroma (intensity) (r = -0.41, P = 0.005). Conclusion: Computer-assisted analysis is a potential method to determine certain chemical constituents (mainly moisture) as well as physical (e.g., coloration) and sensory (e.g., aroma) characteristics of pectoralis major muscles in organic turkeys. The occurrence and strength of quantitative correlations among echotextural characteristics in situ and post-mortem traits of turkeys’ muscles are affected by nutrition and scanning plane.


2016 ◽  
Vol 10 (4s) ◽  
pp. 595-600 ◽  
Author(s):  
Witold Brostow ◽  
◽  
Haley E. Hagg Lobland ◽  

The property of brittleness for polymers and polymer-based materials (PBMs) is an important factor in determining the potential uses of a material. Brittleness of polymers may also impact the ease and modes of polymer processing, thereby affecting economy of production. Brittleness of PBMs can be correlated with certain other properties and features of polymers; to name a few, connections to free volume, impact strength, and scratch recovery have been explored. A common thread among all such properties is their relationship to chemical composition and morphology. Through a survey of existing literature on polymer brittleness specifically combined with relevant reports that connect additional materials and properties to that of brittleness, it is possible to identify chemical features of PBMs that are connected with observable brittle behavior. Relations so identified between chemical composition and structure of PBMs and brittleness are described herein, advancing knowledge and improving the capacity to design new and to choose among existing polymers in order to obtain materials with particular property profiles.


2010 ◽  
Vol 39 (10) ◽  
pp. 2237-2245 ◽  
Author(s):  
Edney Pereira da Silva ◽  
Carlos Bôa-Viagem Rabello ◽  
Luiz Fernando Teixeira Albino ◽  
Jorge Victor Ludke ◽  
Michele Bernardino de Lima ◽  
...  

This research aimed at generating and evaluating prediction equations to estimate metabolizable energy values in poultry offal meal. The used information refers to values of apparent and true metabolizable energy corrected for nitrogen balance (AMEn and TMEn) and for chemical composition of poultry offal meal. The literature review only included published papers on poultry offal meal developed in Brazil, and that had AMEn and TMEn values obtained by the total excreta collection method from growing broiler chickens and the chemical composition in crude protein (CP), ether extract (EE), mineral matter (MM), gross energy (GE), calcium (Ca) and phosphorus (P). The general equation obtained to estimate AMEn values of poultry offal meal was: AMEn = -2315.69 + 31.4439(CP) + 29.7697(MM) + 0.7689(GE) - 49.3611(Ca), R² = 72%. For meals with high fat contents (higher than 15%) and low mineral matter contents (lower than 10%), it is suggest the use of the equation AMEn = + 3245.07 + 46.8428(EE), R² = 76%, and for meals with high mineral matter content (higher than 10%), it is suggest the equations AMEn = 4059.15 - 440.397(P), R² = 82%. To estimate values of TMEn, it is suggested for meals with high mineral matter content the equation: TMEn = 5092.57 - 115.647(MM), R² = 78%, and for those with low contents of this component, the option is the equation: TMEn = 3617.83 - 15.7988(CP) - 18.2323(EE) - 96.3884(MM) + 0.4874(GE), R² = 76%.


2020 ◽  
Vol 15 (12) ◽  
pp. 1934578X2098123
Author(s):  
Peng-fei Yang ◽  
Hui Lu ◽  
Qiong-bo Wang ◽  
Zhi-wei Zhao ◽  
Qiang Liu ◽  
...  

Detailed chemical constituents of essential oil from the Pterocephalus hookeri leaves and its antimicrobial activities were investigated in this study. The essential oil, obtained by hydrodistillation, was characterized by gas chromatography-flame ionization detection and gas chromatography-mass spectrometry analyses. Among the 90 identified compounds, hexadecanoic acid (21.27%), phytol (8.03%), furfural (7.08%), oleic acid (5.25%), and phytone (4.56%) were the major components. In the antimicrobial assay, the essential oil showed strong inhibitory activities against Escherichia coli, Candida albicans, and Staphylococcus aureus with minimum inhibitory concentration values of 31.3, 62.5, and 125 µg/mL, respectively. To our knowledge, this is the first report concerning chemical composition and antimicrobial activities of the essential oil from Pterocephalus hookeri.


2007 ◽  
Vol 0 (0) ◽  
pp. 070630083601001-??? ◽  
Author(s):  
S. Wongsuthavas ◽  
S. Terapuntuwat ◽  
W. Wongsrikeaw ◽  
S. Katawatin ◽  
C. Yuangklang ◽  
...  

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