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Rani, Nantapo, Hugo, and Muchenje: Differences in Health-related Fatty Acids, Intramuscular Fat and the Physico-chemical Quality in Mutton as Affected by Season, Place of Purchase and Meat Portion


The objective of the study was to determine the quality and fatty acid profiles of mutton cuts purchased from rural and urban localities in South Africa. Five hundred and ten samples were collected in four seasons from both rural and urban shops and butcheries. Samples were immediately transported to the laboratory in cooler boxes with ice where the following physico-chemical characteristics of mutton were determined; meat pH, color (L*, a*, and b*), cooking losses and Warner Braztler shear force and replicates stored at −20°C pending fatty acid analysis. Meat L* values were lowest (24.7±0.49) in winter and highest (32.2±0.49) in spring. The loin and sirloin cuts recorded the highest intramuscular fat whilst rib and leg cuts recorded the lowest intramuscular fat. In conclusion intramuscular fat, fatty acid profiles and physico-chemical quality of mutton were significantly affected by season and meat portion and not necessarily by the locality and class of shop.


Throughout the history of mankind people have been raising and eating sheep as it is a dense source of nutrients that are vital for growth and development (Pereira and Vincente, 2013). In South Africa, recent statistics show a decrease in mutton consumption due to health worries related to its fat content (Sainsbury, 2009). The health conscious consumers consider the fat and saturated fatty acid (SFA) composition in mutton to be too high (Woods and Fearon, 2009). Evidence has shown an association between SFA and occurrence of cardiovascular diseases (Simopoulus, 2006). This has seen recent studies focusing on understanding the fatty acid profiles and improving individual fatty acids that convey good health to the consumer through various methods (Nantapo et al., 2014). Approaches used in improving fatty acid profiles include; nutritional strategies (Wiecek et al., 2011), age grouping, portion selection (Schonfeldt and Strydom, 2011) and breed selection (Hoffman et al., 2005). However, the composition of fatty acids is also affected by season and region/place in which mutton is purchased (Muchenje et al., 2008). Few studies have described nutritional composition, including fatty acids profiles, of mutton sold to the public in rural and urban set-ups. Furthermore, most studies aim at analysing only the M. longissimus dorsi tissue yet there are so many retail cuts available in South Africa including chump, leg chop, loin chop, rib chop, shoulder chop, brisket chop and trotters (meat from foot).
In addition to fat and fatty acid indicators in meat there is need for careful consideration of other parameters by consumers. Physico-chemical parameters such as pH, tenderness, colour, cooking loss (CL), flavour and juiciness of the meat should be considered as they are the most important determinants of meat quality which assist in understanding consumer expectations. In a study by Becker et al. (2000), the place of purchase was ranked high in assessing quality in the shop. Grunert (1997) and Vimiso et al. (2012) also found that consumers perceived the place of purchase as a crucial quality cue, with health conscious consumers preferring meat from upmarket cities. Therefore, it is important to determine if the place where consumers purchase meat and season have an effect on colour, CL and tenderness of the mutton cuts. The objective of this study was to determine the physico-chemical attributes, intramuscular fat (IMF), moisture content, fat free dry matter (FFDM) and fatty acid profiles of mutton cuts from different retailer type in South Africa.


Study site

The study was conducted in five different municipalities situated in the Eastern Cape Province of South Africa. Selected areas were categorized based on population concentration and set-up into urban (high population density) and rural (low population density) towns. East London, King Williams Town and Queenstown were classified as urban while Alice, Middledrift, Peddie, Stutterheim, Cathcart, Adelaide, and Fort Beaufort were classified as rural towns. Therefore, place of purchase was either rural or urban.

Experimental design

Five hundred and ten samples were collected in four seasons i.e. summer (126 samples), autumn (132), winter (112) and spring (140), of the whole study period. Each sample is a make-up of the seven cuts/portions; chump, leg, loin, rib, shoulder, brisket chops, trotters. There were 62 urban and 64 rural samples collected in summer whilst 70 samples were collected in urban and 62 samples in rural towns during the autumn season. In winter, 58 samples were collected in urban towns whilst 54 samples were collected in rural towns. In spring, 65 samples were collected in rural towns whilst 75 samples were collected in urban towns. Each sample’s portion/cut was equally divided into two parts. One part was immediately used for point of purchase determination of colour (L*, a*, and b*), pH, CL, and tenderness. The other part was immediately delivered to the laboratory in a cooler box containing ice at ≤4°C and stored at −40°C awaiting IMF, proximate composition and fatty acid profile determination.

Meat quality measurements

Colour determination

Colour measurements were taken from the different cuts of mutton samples; chump, leg chop, loin chop, rib chop, shoulder chop, brisket chop and trotters at the point of purchase. The lightness (L*), redness (a*) and yellowness (b*) values (Commission International De I’Eclairage, 1976) were determined using a Minolta colour-guide 45/0 BYK-Gardener GmbH machine, with a 20 mm diameter measurement area and illuminant D65-day light, 10° observation angle. The guide was calibrated before each measurement using the green standard. Three readings were taken from each portion by rotating the instrument at 90° between each measurement, in order to obtain a representative average value of the colour.

pH measurement

The pH of each cut/portion of the sample was determined using the Crison pH 25, pH meter (Crison instruments, S.A., Alella, Spain) in the Meat Science laboratory at the University of Fort Hare. The pH meter was calibrated with pH 4 and pH 7 standard solutions. The pH and colour measurements were recorded on standard forms at 25°C, room temperature.

Warner-Bratzler shear force and cooking loss determination

For determination of CL and Warner-Bratzler shear force (WBSF) values, samples were taken out of the fridge a day before and were left to thaw at 25°C, room temperature. Samples were weighed, labelled and placed in plastic bags before cooking in a water bath. Labelled samples were cooked for 45 minutes at 85°C (Yancey et al., 2010), cooled and weighed again to measure CL. Cooking loss was calculated using the following formula: CL % = ([weight before cooked – weight after cooked]÷weight before cooked)×100.
After measurement of CL, the samples were then used to determine WBSF values. Three sub samples measuring 10 mm in diameter were cored parallel to the grain of the meat from each cut/portion. The samples were sheared perpendicular to the fibre direction using a Warner Bratzler (WB) shear device mounted on an Instron (Model 3344) Universal testing apparatus (cross head speed at 400mm/min, one shear in the centre of each core). The mean maximum load (N) was recorded for the batch.

Intramuscular fat, proximate composition and fatty acid analysis

Intramuscular fat, moisture content and FFDM were measured from the other half of the cut/portion stored. Total lipid fraction was extracted using the Soxhlet method for determination of fatty acids (AOAC, 2003). Total lipids from muscle samples were quantitatively extracted, according to the method of Folch et al. (1957), using chloroform and methanol in a ratio of 2:1. An antioxidant, butylate hydroxytoluene was added at a concentration of 0.001% to the chloroform: methanol mixture. A rotary evaporator was used to dry the fat extracts under vacuum and the extracts were also dried overnight in a vacuum at 50°C, using phosphorus pentoxide as moisture adsorbent (Rani et al., 2011). Total extractable IMF was determined gravimetrically from the extracted fat and expressed as percent fat (w/w) per 100 g meat tissue. Fat free dry matter content was determined by weighing the residue on a pre-weighed filter paper, after drying. The moisture content was determined by subtraction (100% – %IMF – %FFDM). Fatty acid methyl esters (FAMEs) were prepared for gas chromatography by methylation of the extracted fat, using methanol–BF 3 (12) and quantified using a Varian GX3400 GC with flame ionization detector, with a fused silica capillary column, Chrompack CPSIL88 (100 m length, 0.25 mm ID, 0.2 mm film thickness). Column temperature programme was 40 to 230°C (hold 2 min; 4°C/min; hold 10 min). Fatty acid methyl ester samples were identified by comparing the retention times of FAME peaks from samples with those of standards obtained from Supelco (Supelco 37 Component Fame Mix 47885-U, Sigma-Aldrich Aston Manor, Pretoria, South Africa). The peak identified as conjugated linoleic acid (CLA) is for specific isomer C18:2c9t11 (n-6) with the highest proportion over 75%. Fatty acids were expressed as the proportion of each individual fatty acid to the total of all fatty acids present in the sample. The following fatty acid combinations and ratios were calculated by using the fatty acid data: total saturated fatty acids (SFA), total mono-unsaturated fatty acids, total polyunsaturated fatty acids (PUFA), total omega-6 fatty acids, total omega-3 fatty acids, PUFA/SFA and omega-6/omega-3 ratio.

Statistical analysis

The physico-chemical meat quality parameters (pH, L*, a* and b*, CL, WBSF values), IMF, moisture content, FFDM, individual and group fatty acids were analysed. A factorial experiment with three factors (Meat cut/portion, Effect of place where meat was purchased and Effect of season) was laid out in a randomised complete block design and Analysis of variance was calculated by PROC general linear model in SAS (Statistical Analysis Systems, 2011), using the following model:
  • Yijklmnop = Response variable (L*, a*, and b*, pH, CL, tenderness, IMF, moisture content, FFDM, individual and group fatty acids)

  • μ = Overall mean common to all observations

  • Mi = Meat cut/portion (chump, leg chop, loin chop, rib chop, shoulder chop, brisket chop, and trotters)

  • Pj = Effect of place where meat was purchased (urban or rural)

  • Sk = Effect of season (summer, winter, autumn and spring)

  • (M×P)l = Effect of Interaction between meat cut and place of purchase

  • (P×S)m = Effect of interaction between place of purchase and season

  • (M×S)n = Effect of interaction between meat cut and season

  • (M×P×S)o = Effect of interaction between meat cut, place of purchase and season

  • Eijklmnop = Random error

  • Mean separation was conducted using the student T-test.


Effect of place of purchase on physico-chemical attributes of mutton

According to Vimiso and Muchenje (2013), it is imperative for the meat industry to have knowledge on what quality cues consumers use when purchasing meat and how they can use this information to remain competitive. At the point of purchase consumers use intrinsic cues such as colour and extrinsic cues such as quality assurance, place of purchase and price (Becker et al., 2000). In a study by Becker et al. (2000), place of purchase was ranked as the most helpful in assessing meat quality in the shop. Grunert (1997) also indicated that consumers perceived the place of purchase as the most crucial quality cue followed by colour. Table 1 shows the effect of place of purchase on meat quality attributes at the point of purchase. There were no significant differences on L*, a*, b* values, pH, and tenderness of the meat that was bought from urban and rural shops. This can be due to the fact that meat handling may be generally uniform within the industry especially when meat is fresh. However, the differences in CL may be as a result difference in storage environment and shelf time (Levy and Weitz, 1995).

Effect of season on physico-chemical attributes

Results of seasonal effects on physico-chemical attributes are presented in Table 2. There were significant seasonal effects (p<0.05) on the L*, tenderness, pH, and CL of meat. However, b* and a* values of the meat were not affected by season. The pH was high in winter and autumn and low in summer and spring. These results were also reported by Gallo et al. (2009) in light lambs and could be due to high glycogen levels in muscles which is influenced by the fat-content of the feeding regime. The L* values for meat purchased in winter were the lowest, showing a dark colour. Low L* values in winter could be due to pre-slaughter cold stress. The cold stress in animals resulted in meat with a high ultimate pH, low L* values and dark colour in mutton samples purchased in winter. This is in line with results by Chulayo and Muchenje (2013) where mutton samples taken in the cold, wet season were darker than other meat samples from hot, wet season. According to Muchenje et al. (2008), high ultimate pH values are usually associated with dark cuttings. Mutton samples purchased in winter also had the highest values of WBSF values. Meat samples bought in summer and in autumn had the highest percentages of CL because during hot seasons since temperatures are high, there’s higher thawing loss which results in high CL.
The pH of mutton samples purchased in winter and autumn in this study were between 6.2 and 6.4. Muchenje et al. (2008) stated that meat with pH above 6.0 is undesirable as it leads to dark firm dry meat. According to Hoffman et al. (2003), higher pH (>5.8) leads to undesirable meat colour which is unattractive to consumers. The colour of meat is determined by the relative amount of three myoglobin derivatives; i) reduced myoglobin, deoxymyoglobin (Mb), which is the purple pigment of deep muscle and known from meat under vacuum, ii) oxygenated myoglobin, oxymyoglobin (MbO2), which is bright cherry red and considered to signify fresh meat by the consumer, and iii) oxidised myoglobin, metmyoglobin (MetMb), which is grey-brown (Rosenvold and Anderson, 2003). The type of packaging used in a shop affects the amount of oxygen exposure to the meat and will therefore influence the colour of meat and appeal to the customer. Different shops used different types of packaging namely; Vacuum packing, Overwrapping, and Frozen meat. In each packaging the temperature that the meat is stored under affects the quality of meat and this determines its shelf life (Davies, 1995).

Effect of cut/portion on physico-chemical attributes

Differences in the quality attributes of meat across different cuts were observed and depicted in Table 3. There were significant differences between the different meat cuts in terms of colour, pH, tenderness and CL. Higher values of CL and low values of WBSF were observed in the trotter, leg chop, and chump. Trotters had high values of L*, a*, b* values and pH as compared to other meat parts followed by the chump. The loin had the lowest a* and L*values. The rib and sirloin chops had lowest WBSF values, indicating that they were softer as compared to other meat parts with rib being tougher. Rib chops had the lowest percentage values of CL. This is due to the fact that rib is made up of less muscle fibre. The difference in physico- chemical attributes corresponds to differences in muscle type and pigmentation between abdominal, pectoral, pelvic and thoracic mutton cuts. According to Muchenje et al. (2008), meat ultimate pH is widely used as an indicator of meat quality and carcasses are often categorised according to its pH. Briefly, low pHu meat (pHu <5.8) is most ideal with regards to consumer acceptability and palatability and high pHu meat (pHu 6.2) is darker in appearance and more susceptible to microbial spoilage. According to Gregory (2008), pH in mutton is expected to range between 5.75 and 6.00. Therefore, the observed pH in current study ranging from 5.9 to 6.3 could be considered to be on the higher and unacceptable. Cloete et al. (2008) reported that high pH has an effect on the colour and tenderness of the meat hence winter season was observed with high pH (6.4) values and high tenderness values. Meat tenderness has been reported to be related to ultimate (pHu) value and meat colour (Muchenje et al., 2008). Though one cannot predict tenderness of the meat at point of purchase, it is however, very important to acknowledge that a consumer would be willing to pay a higher price in the market place for meat as long as it is of guaranteed tenderness (Yancey et al., 2010).

Effect of season, place of purchase and cut/portion on intra-muscular fat and proximate composition of mutton

The results on the effect of season, place of purchase and mutton cut on intra-muscular fat, moisture content and FFDM are shown in Table 4. In the current study, rural and urban purchase points did not significantly influence moisture content, IMF and FFDM of mutton. However, significant differences observed in the moisture content, IMF and FFDM of mutton purchased in different seasons. Information on the proximate composition of raw mutton is important in evaluation of production and also nutrients retained by consumers (Schonfeldt and Strydom, 2011). Mutton purchased in the winter had the lowest moisture content, highest IMF and FFDM whilst mutton purchased in spring and summer recorded the highest moisture content and lowest IMF. Diet seems to be the contributing factor to fat levels in winter as concentrate supplementation helps improve fat content in winter. The inverse relationship between moisture and fat content was also observed by Cloete et al. (2008). Intramuscular fat content of raw meat influences sensory properties such as initial juiciness, sustained juiciness and first bite (Hoffman et al., 2005). Mutton of high IMF has high juiciness and is preferred by most consumers.
Mutton cuts were different in proximate composition. Loin and sirloin cuts recorded the highest IMF whilst rib and leg cuts recorded the lowest IMF. Similar observations were made by Sainsbury et al. (2009). Different muscles have different levels of fat and muscle build up leading to differences in fat marbling. It is due to this fat accumulation that makes loin and sirloin a favourite cut to many consumers as they perceive it to be juicier than other cuts.

Effect of place of purchase season on mutton fatty acid profiles

Place of purchase did not significantly influence fatty acid profiles. However, fatty acid profiles differed according to season. The effect of season is summarized in Table 5. Oleic acid (38.4%), palmitic acid (28.7%) and stearic acid (16.3%) dominated. Saturated fatty acids were highest in spring but lowest in winter. The levels of vaccenic acid, linoleic acid, linolenic acid, arachidonic acid, docosapentaenoic acid, DHA and lignoceric acid were lowest in winter and highest in spring. Monounsaturated and polyunsaturated fatty acids were also lowest in winter and highest in spring. This also corresponded with highest n-3 and n-6 fatty acids in winter and lowest composition in spring. Omega-3 and n-6 fatty acid are essential to human health (Simopoulus, 2002). Fatty acid composition in winter can impart a positive influence to health as SFAs are lower. These results were also reflected in the n-6/n-3 ratio were the ratio was significantly lower in winter and highest in spring. The lowest ratio tends to support better cardiovascular health (Simopoulus, 2002). Results of n-6/n-3 from this study were within a range (1.53 to 7.65) noted by Muchenje et al. (2008) even for grass-fed and grain-fed animals. In all, the fatty acid profiles are affected by the diet regime, which changes from pasture-based in summer to concentrate-supplementation in drier winter months (Nantapo et al., 2014). This in effect affects the supply and fatty acid synthesis pathways.

Effect of cut/portion on mutton fatty acids

The results on the effect of cut/portion on mutton fatty acids are shown in Table 6. Vaccenic, CLA, eicosatrienoic, heneicosanoic acids were not significantly different in meat portions. However, linoleic, linolenic, oleic, arachidonic, DPA, DHA were significantly affected by portion type. Ribs had the highest linoleic acid (5.2±0.68 and 5.1±0.27 respectively), linolenic (1.9±0.09 and 1.9±0.23), arachidonic (1.6±0.09 and 1.4±0.23) and DPA (0.6±0.03 and 0.05±0.08). Generally, loin and sirloin cuts had the lowest DPA, linoleic acids giving an advantage to health as these fatty acids have a cholesterol reducing effect (Simopoulus, 2002; Woods and Fearon, 2009). However, these differences in cut have not been studied much in mutton cuts for us to give a more pronounced comparison.


In conclusion, place of purchase did not affect meat quality attributes and cannot be used as a good indicator of meat quality. However, season and cut/portion had an effect on fat content. Sirloin and loin cuts selected in winter season had the most favourable intra muscular fat content related to juiciness. In addition customers could also use the colour of mutton in selection of meat for domestic consumption. Differences in meat quality and fatty acid profiles of different mutton cuts were also observed. Promotion of health is complex issues as there is need to balance many nutrients especially fatty acids. Rib cuts are consistent with health promotion as n-3/n-6 ratios are lower than any other mutton portions. Selection of these cuts in winter may influence better cardiovascular health.


The authors would like to thank the Red Meat Research and Development (RMRD-SA) and the SA National Research Foundation (NRF) THRIP for financial support. Appreciation also goes to all the shops and butcher owners who participated in the study.

Table 1
Least square mean values (±SE) for colour, pH, tenderness and cooking loss of mutton from different place of purchase
Parameter Urban Rural Significance level
n 265 245
Lightness (L*) 28.6 ±0.42 28.8 ±0.50 NS
Redness (a*) 16.6 ±0.68 15.1 ±0.81 NS
Yellowness (b*) 11.0 ±0.13 10.8 ±0.16 NS
pH 6.0 ±0.02 6.0 ±0.02 NS
WBSF (N) 19.2 ±0.45 19.6 ±0.54 NS
Cooking loss (%) 35.0a ±0.68 32.0 b ±0.81 **

SE, standard error; NS, not significant; WBSF, Warner-Bratzler shear force.

ab Means in the same row with different superscripts are significantly different (p<0.05).

Table 2
Least square mean values (±SE) for colour (L*, a*, and b*), pH, tenderness and cooking loss of mutton in different seasons

Spring Summer Autumn Winter
n 140 126 132 112
Lightness (L*) 32.2 a ±0.49 26.9 b ±0.49 26.8 b ±0.47 24.7c ±0.49
Redness (a*) 17.8 ±0.85 14.8 ±0.86 15.3 ±0.81 15.9 ±0.86
Yellowness (b*) 10.8 ±0.19 10.9 ±0.19 11.1 ±0.19 10.7 ±0.19
pH 5.9 c ±0.02 5.9 c ±0.02 6.2 b ±0.02 6.4 a ±0.02
WBSF (N) 17.7 c ±0.65 20.7ab ±0.66 19.7 b ±0.63 21.2a ±0.66
Cooking loss (%) 28.8 d ±0.88 35.2b ±0.89 37.5 a ±0.85 30.7c ±0.89

SE, standard error; WBSF, Warner-Bratzler shear force.

abcd Means in the same row without the same superscripts are significantly different (p<0.05).

Table 3
Least square mean values (±SE) for colour, pH, tenderness and cooking loss of mutton from different cut/portion
Parameters Lightness (L*) Redness (a*) Yellowness (b*) Ph WBSF (N) Cooking loss (%)
n 510 510 510 510 510 510
Brisket 25.2 c ±1.26 15.6 c ±0.62 10.8 cd ±0.49 6.1 b ±0.05 22.8 bc ±1.68 31.9 d ±1.98
Chump 28.9 a ±1.35 15.0 c ±0.67 11.4 c ±0.53 6.2 a ±0.06 19.9 d ±1.79 35.1 c ±2.13
Leg 26.1 b ±0.54 15.8 bc ±0.35 10.9 c ±0.21 6.1 b ±0.02 19.2 de ±0.72 36.6 bc ±0.85
Loin 24.9 d ±1.08 14.7 de ±0.53 11.8 bc ±0.42 6.1 b ±0.05 21.5 c ±1.43 34.1 c ±1.69
Rib 25.1 c ±0.71 15.9 b ±0.35 10.4 e ±0.28 6.2 a ±0.03 18.9 e ±0.94 30.9 d ±1.12
Shoulder 26.9 b ±0.59 15.1 c ±0.29 10.9 c ±0.23 6.2 ab ±0.03 21.2 c ±0.79 34.0 cd ±0.93
Sirloin 25.3 c ±1.60 17.4 a ±0.79 10.5 e ±0.63 5.9 c ±0.07 18.9 e ±2.13 34.8 c ±2.53
Trotter 30.4 a ±2.78 30.4 a ±2.78 13.1 a ±1.08 6.3 a ±0.12 24.9 b ±2.15 39.5 ab ±4.38

SE, standard error; WBSF, Warner Braztler Shear Force.

Means in the same column with different superscripts are significantly different (p<0.05).

Table 4
Effect of season, place of purchase and meat portion on intramuscular fat, moisture content and fat free dry matter of mutton
Moisture content (%) Intramuscular fat (%) Fat free dry matter (%)
 Spring 73.9b ±0.25 4.0a ±0.21 21.5a ±0.18
 Summer 73.9b ±0.25 4.4ab ±0.21 21.7a ±0.18
 Autumn 73.5b ±0.19 4.5b ±0.16 22.0ab ±0.14
 Winter 72.6a ±0.26 5.3c ±0.21 22.3b ±0.18
 p-value 0.01 0.001 0.01
Place of purchase
 Rural 73.5 ±0.19 4.5 ±0.16 21.8 ±0.18
 Urban 73.4 ±0.16 4.5 ±0.13 21.9 ±0.10
 p-value NS NS NS
 Brisket 74.6b ±0.44 3.7bc ±0.35 21.6 ±0.30
 Chump 74.1b ±0.29 4.1cd ±0.23 21.7 ±0.19
 Cutlets 74.1b ±0.29 3.2ab ±0.52 22.7 ±0.44
 Leg 74.5b ±0.22 3.6b ±0.18 21.8 ±0.15
 Loin 71.3a ±0.30 6.1e ±0.24 21.4 ±0.20
 Rib 74.9b ±0.25 2.9a ±0.20 22.1 ±0.17
 Shoulder 73.9b ±0.21 4.2cd ±0.17 21.9 ±0.39
 Sirloin 69.7a ±0.57 8.6f ±0.46 21.9 ±0.39
 Trotter 74.1b ±0.56 4.5d ±0.45 21.7 ±0.38
 p-value 0.001 0.001 NS

NS, not significant

Least square means in same column for each description (season, place of purchase and meat portion) with different superscripts differ significantly.

Table 5
Effect of season on fatty acid profiles
Spring Summer Autumn Winter
n 140 126 132 112
Vaccenic 1.3b ±0.04 1.2ab ±0.04 1.2ab ±0.03 1.1a ±0.04
Linoleic 5.0d ±0.27 4.1b ±0.27 4.8c ±0.21 3.3a ±0.28
CLA 0.5 ±0.03 0.5 ±0.03 0.5 ±0.02 0.5 ±0.03
α-Linolenic 1.6b ±0.09 1.5b ±0.09 1.6b ±0.07 1.2a ±0.09
Arachidonic 1.3b ±0.09 0.9ab ±0.09 1.2b ±0.07 0.7a ±0.09
Eicosatrienoic 0.1 ±0.01 0.1 ±0.01 0.1 ±0.01 0.1 ±0.01
Heneicosanoic 0.1 ±0.03 0.1 ±0.01 0.1 ±0.01 0.1 ±0.01
Oleic 38.6ab ±0.51 39.4b ±0.52 37.7a ±0.39 38.3ab ±0.52
Docosapentaenoic 0.5b ±0.03 0.3a ±0.03 0.4ab ±0.03 0.3a ±0.03
Docosahexanoic 0.2b ±0.02 0.2b ±0.02 0.2b ±0.01 0.1a ±0.02
Lignoceric 0.5c ±0.04 0.3a ±0.04 0.4b ±0.03 0.3a ±0.04
SFA 48.8a ±0.49 49.6a ±0.49 50.1a ±0.37 52.6b ±0.50
MUFA 42.2b ±0.51 42.9b ±0.51 41.2a ±0.41 41.4a ±0.60
PUF 8.9c ±0.43 7.4b ±0.43 8.7c ±0.33 6.1a ±0.43
n6 6.7c ±0.35 5.6b ±0.35 6.5c ±0.27 4.5a ±0.36
n3 0.2b ±0.01 0.2b ±0.01 0.2b ±0.01 0.1a ±0.01
PS 0.2b ±0.01 0.2b ±0.01 0.2b ±0.01 0.1a ±0.01
n6/n3 3.7b ±0.32 3.6ab ±0.33 3.6ab ±0.25 3.5a ±0.33

CLA, conjugated linoleic acid; SFA, saturated fatty acids; MUFA, monounsaturated fatty acid; PUFA, polyunsaturated fatty acids; PS, polyunsaturated fatty acids/saturated fatty acids; n-6/n-3, omega-6 fatty acids/omega-3 fatty acids; SE, standard error.

Least square means % (±SE) in the same row with different superscripts differ (p<0.05).

Table 6
Effect of cut/portion on fatty acid profile of mutton
Brisket Chump Shoulder Leg Loin Rib Sirloin Trotter
n 510 510 510 510 510 510 510 510
Vaccenic 1.1 ab ±0.07 1.3 b ±0.05 1.2 ab ±0.03 1.3 b ±0.04 1.2 ab ±0.05 1.2 ab ±0.04 1.0 a ±0.09 1.2 ab ±0.10
Linoleic 4.4 b ±0.47 4.3 b ±0.31 4.6 bc ±0.22 4.8 bc ±0.24 3.3 ab ±0.32 5.1 c ±0.27 2.7 a ±0.61 4.3 b ±0.59
CLA 0.5 ab ±0.05 0.6 b ±0.03 0.5 a ±0.02 0.5 a ±0.02 0.5 a ±0.03 0.5 a ±0.03 0.5 ab ±0.06 0.5 ab ±0.06
α-Linolenic 1.5 b ±0.16 1.2 a ±0.10 1.3 ab ±0.07 1.4 b ±0.08 1.3 ab ±0.11 1.9 c ±0.09 1.3 ab ±0.20 1.3 ab ±0.20
Arachidic 0.1 ±0.01 0.1 ±0.01 0.1 ±0.01 0.1 ±0.01 0.1 ±0.01 0.1 ±0.01 0.1 ±0.02 0.1 ±0.02
Eicosatrienoic 0.1 ±0.09 0.1 ±0.10 0.1 ±0.12 0.1 ±0.12 0.1 ±0.07 0.1 ±0.13 0.1 ±0.10 0.1 ±0.09
Heneicosanoic 0.1 ±0.01 0.1 ±0.01 0.1 ±0.01 0.1 ±0.01 0.1 ±0.01 0.1 ±0.01 0.1 ±0.01 0.1 ±0.01
Oleic 37.9 a ±0.88 39.4 b ±0.58 38.6 ab ±0.42 39.1 ±0.45 39.3 b ±0.60 37.3 a ±0.51 38.8 ab ±1.15 38.8 ab ±1.12
Docosapentaenoic 0.4 b ±0.06 0.3 ab ±0.04 0.4 b ±0.03 0.4 b ±0.03 0.3 ab ±0.04 0.6 c ±0.03 0.2 a ±0.08 0.3 ab ±0.07
Docosahexanoic 0.1 a ±0.03 0.1 a ±0.02 0.1 a ±0.01 0.2 b ±0.02 0.1 a ±0.02 0.2 b ±0.02 0.2 ±0.07b 0.1 a ±0.04
Lignoceric 0.4 b ±0.06 0.3 ab ±0.04 0.4 b ±0.03 0.4 b ±0.03 0.3 ab ±0.04 0.6 c ±0.04 02 a ±0.09 0.3 ab ±0.09
SFA 50.1 b ±0.84 49.3 ab ±0.55 49.9 b ±0.40 48.6 a ±042 51.2 c ±0.57 49.8 ab ±0.48 52.8 c ±1.09 50.5 b ±1.07
MUFA 41.2 ab ±0.92 43.1 b ±0.61 42.2 ab ±0.44 42.8 ab ±0.47 42.8 ab ±0.62 40.5 a ±0.53 42.2 ab ±0.20 42.1 ab ±1.17
PUFA 8.0 b ±0.73 7.6 b ±0.48 8.0 b ±0.35 8.6 c ±0.37 6.1 ab ±0.50 9.7 d ±0.42 5.0 a ±0.96 7.5 b ±0.93
n-6 5.9 b ±0.60 5.9 b ±0.39 6.2 b ±0.29 6.6 bc ±0.30 4.4 a ±0.40 7.0 c ±0.54 3.5 a ±0.78 5.7 b ±0.76
n-3 2.1 b ±0.22 1.7 a ±0.15 1.8 b ±0.11 2.0 b ±0.11 1.6 a ±0.15 2.7 c ±0.13 1.5 a ±0.29 1.7 a ±0.28
PS 0.2 b ±0.02 0.2 b ±0.01 0.2 b ±0.01 0.2 b ±0.01 0.1 a ±0.01 0.2 b ±0.01 0.1 a ±0.02 0.2 b ±0.02
n-6/n-3 3.5 ab ±0.56 4.5 c ±0.37 3.7 b ±0.27 4.4 c ±0.28 3.2 ab ±0.38 2.9 a ±0.32 2.9 a ±0.73 4.1 bc ±0.71

CLA, conjugated linoleic acid; SFA, saturated fatty acids; MUFA, monounsaturated fatty acid; PUFA, polyunsaturated fatty acids; PS, polyunsaturated fatty acids/saturated fatty acids; n-6/n-3, omega-6 fatty acids/omega-3 fatty acids.

Least square mean values in the same row with different superscripts differ (p<0.05).


AOAC. 2003. Association of Official Analytical Chemists. 3rd EdQuality Assurance Principles for Analytical Laboratorys; Washington, DC, USA:

Becker T, Benner E, Glitsch K. 2000. Consumer perception of fresh meat quality in Germany. Br Food J 102:246–266.
Chulayo AY, Muchenje V. 2013. The effects of pre-slaughter stress and season on the activity of plasma creatine kinase and mutton quality from different sheep breeds slaughtered at a smallholder abattoir. Asian Austral J Anim Sci 26:1762–1772.
crossref pmid pmc pdf
Cloete JJE, Hoffman LC, Cloete SWP. 2008. Carcass characteristics and meat quality of progeny of five Merino dam lines crossed with Dormer and Suffolk sires. S Afr J Anim Sci 38:355–366.
Commission International De I’Eclairage (CIE). 1976. Colorimetry. 2nd editionVienna, Switzerland:

Davies AR. 1995. Advances in modified atmosphere packaging. New Methods of Food Preservation. Gould GW, editorGlasgow; Blackie, UK: p. 304–320.
Folch J, Lees M, Sloane-Stanley GH. 1957. A simple method for the isolation and purification of total lipids from animal tissue. J Biol Chem 226:497–509.
Gallo SB, de Siqueira ER, Delgado EF, Silva MDP, Rosa GT. 2009. Influence of feeding regime and finishing system on lamb muscle fiber and meat quality. R Bras Zootec 38:2204–2210.
Gregory NG. 2008. Animal welfare at markets and during transport and slaughter. Meat Sci 80:2–11.
crossref pmid
Grunert KG. 1997. What is steak? A cross-cultural study on the quality perception of beef. Food Qual Pref 8:157–174.
Hoffman LC, Kritzinger B, Ferreira AV. 2005. The effects of region and geneder on the fatty acid, amino acid, mineral, myoglobin and collagen contents of impala (Aepyceros melampus) meat. Meat Sci 69:551–558.
crossref pmid
Hoffman LC, Muller M, Cloete SWP, Schmidt D. 2003. Comparison of six crossbred lamb types: sensory, physical and nutritional meat quality characteristics. Meat Sci 65:1265–1274.
crossref pmid
Levy M, Weitz BA. 1995. Retailing Management. Richard D. Irwin, Inc; Chicago, IL, USA:

Muchenje V, Dzama K, Chimonyo M, Raats JG, Strydom PE. 2008. Meat quality of Nguni, Bonsmara and Aberdeen Angus steers raised on natural pasture in the Eastern Cape, South Africa. Meat Sci 79:20–28.
crossref pmid
Nantapo CTW, Muchenje V, Hugo A. 2014. Atherogenicity index and health related fatty acids in different stages of lactation from Friesian, Jersey and Friesian×Jersey cross cow milk under pasture-based dairy system. Food Chem 146:127–133.
crossref pmid
Pereira PMCC, Vincente AFRB. 2013. Meat nutritional composition and nutritive role in the human diet. Meat Sci 93:586–592.
crossref pmid
Rani ZT, Chimonyo M, Hugo A, Marume U, Muchenje V. 2011. Effect of parity on the proximate composition and fatty acid profile of milk from Nguni cattle grazing on natural pastures. Afr J Biotechnol 10:8647–8653.
Rosenvold K, Andersen HJ. 2003. Factors of significance for pork quality. A review. Meat Sci 64:219–237.
crossref pmid
Sainsbury J. 2009. Nutrient Content and Carcass Composition of South African Mutton with a Focus on Bio-availability of Selected Nutrients. PhD. Thesis. University of Pretoria South Africa.

SAS. 2011. Users Guide, Version 9. Statistical Analysis System Institute Inc; Cary, NC, USA:

Schönfeldt HC, Strydom PE. 2011. Effect of age and cut on cooking loss, juiciness and flavour of South African beef. Meat Sci 87:180–190.
crossref pmid
Simopoulus AP. 2002. The importance of the ratio of omega-6/omega-3 essential fatty acids. Biomed Pharmacother 56:365–379.
crossref pmid
Simopoulus AP. 2006. Evolutionary aspects of diet, the omega-6/omega-3 ratio and genetic variation: Nutritional implications for chronic diseases. Biomed Pharmacother 60:502–507.
crossref pmid
Vimiso P, Muchenje V. 2013. A survey on the effect of transport method on bruises, pH and colour of meat from cattle slaughtered at a South African commercial abattoir. S Afr J Anim Sci 43:105–111.
Vimiso P, Muchenje V, Marume U, Chiruka R. 2012. Preliminary study on consumers and meat traders perceptions of beef quality and how the beef quality is affected by animal welfare practices. Sci. Res Essays 7:2037–2048.
Wiecek J, Rekiel A, Batorska M, Skomial J. 2011. Effects of restricted feeding and realimentation periods on pork quality and fatty acid profile of M. longissimus thoracis. Meat Sci 87:244–249.
crossref pmid
Woods VB, Fearon AM. 2009. Dietary sources of unsaturated fatty acids for animals and their transfer into meat, milk and eggs: A review. Livest Sci 126:1–20.
Yancey JWS, Apple JK, Meullenet JF, Sawyer JT. 2010. Consumer responses for tenderness and overall impression can be predicted by visible and near-infrared spectroscopy, Meullenet-Owens razor shear, and Warner-Bratzler shear force. Meat Sci 85:487–492.
crossref pmid
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