Vachellia tortilis leaf meal improves antioxidant activity and colour stability of broiler meat
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Nomalungelo Mthethwa
, Mehluli Moyo
, Mbusiseni Vusumuzi Mkwanazi
, Sithembile Zenith Ndlela
, Mbongeni Khanyile
, Marizvikuru Mwale
und Michael Chimonyo
Abstract
The study assessed the response to antioxidant activity (AA) and chemical stability of meat produced from broilers fed on Vachellia tortilis leaf meal (VTLM). A total of 180 14-day-old chicks were randomly allocated to six diets (0, 30, 60, 90, 120, and 150 g/kg of VTLM) for 21 days. Birds were slaughtered at 35 days of age, and the Pectoralis major and thigh muscles were analyzed for chemical stability and physico-chemical properties. AA of meat was highest at 41%, corresponding to an inclusion level of 115 g/kg dry matter VTLM. Increasing levels of VTLM up to 125 and 117 g/kg DM in broiler diets increased a* redness and b* yellowness to maximum values of 8.7 and 19.7, respectively, for a storage period lasting 28 days. There was a quadratic response in alkaline phosphatase and albumin concentrations with increases in VTLM inclusion levels. Inclusions of 115 g/kg DM VTLM are recommended for improved AA but without improvement of colour stability of broiler meat. The lack of response in pH with increases in VTLM inclusion and AA revealed that high levels of antioxidants are required to cause a change in pH. The lack of chemical reactions suggests that there is a need to allow more time to get a reaction and explore higher levels of inclusion levels. Including VTLM at 115 g/kg DM, therefore, enhances the AA of meat.
1 Introduction
Chicken meat is “healthy” as it contains less fat, predominantly occurring as unsaturated fatty acids, compared to beef and pork [1]. The high content of unsaturated fats, however, makes chicken meat prone to spoilage through lipid oxidation [2], occurring immediately after slaughter. The control of lipid oxidation of chicken meat at slaughter maintains its health value to consumers. Post-slaughter treatment of meat using synthetic and natural antioxidants is used during commercial meat processing to prevent lipid oxidation, increasing chemical stability and shelf-life of meat. Synthetic and natural antioxidants are added directly onto the meat during packaging [3], which might cause a lack of uniformity in the spread of the antioxidants on meat. Synthetic antioxidants increase the risk of prostate cancer, are detrimental to the lungs, kidneys, and liver, suppress humoral immunity, and may induce allergic reactions such as asthma and dermatitis [4,5,6]. These complications have led to consumer demand for chemical-free meat [7]. Visual appraisal of meat colour is used as a reliable indicator of the level of freshness of meat [8,9]. It is worthwhile to explore natural antioxidants that can be incorporated into animal feeds and have the potential to be deposited in meat muscles.
V. tortilis, like many other leguminous tree leaf meals that are widely abundant in Southern Africa, contain a range of compounds that possess antioxidant properties including Vitamin E, flavonoids, phenolics, carotenoids, and ascorbic acid. Vachellia tortilis leaf meal (VTLM) has been incorporated into feeds for chickens [10] and pigs [11], but their antioxidant properties are poorly understood. Broiler farmers, therefore, are increasingly focussing on meat quality to sustain competition with other types of meat and meet consumer demands for healthy meat. The potential benefits of incorporating fibrous leaf meals in enhancing meat quality and health benefits for consumers are likely to outweigh the expected depression in growth performance [10]. Besides the benefits that VTLM could bring to human health, it also improves the welfare of broilers by reducing the prevalence of coccidiosis [12] and nematode burden [13]. Little evidence is available on the optimum concentration of natural antioxidants required to reduce the oxidation of lipids in meat. The objective of the study was to determine the response of antioxidant activity (AA) and chemical stability of meat produced from broilers fed on different VTLM inclusion levels. It was hypothesised that AA and chemical stability of meat improves with an increase in inclusion levels of VTLM.
2 Materials and methods
2.1 Leaf collection, processing, and diet formulation
V. tortilis leaves were hand-harvested during the post-rainy season at an advanced stage of maturity at Makhathini Research Station, Jozini Municipality, South Africa (27°23′42.5″S 32°10′47.7″E). The leaves were air-dried under a shade and sieved to separate leaves from thorns, pods, and twigs. The leaves were ground to pass through a 2 mm sieve using a Retsch GmbH mill (Model ZM200, Haan, Germany) to produce the VTLM. To determine the potency of AA and chemical stability of broiler meat produced from broilers fed on legume leaf meals, six diets were designed and formulated (Table 1) using the WinFeed (2018), feed formulation software (WinFeed Limited, Cambridge, UK). The six dietary treatments contained 0, 30, 60, 90, 120, and 150 g/kg of VTLM and formulated to meet the nutrient requirements for growth, as described earlier (Miya et al., 2019). Vitamins and minerals were added to meet the National Research Council [14] recommended specifications for broilers.
Ingredient composition of finisher diets used in the study
Ingredient | V. tortilis inclusion levels (g/kg DM) | |||||
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0 | 30 | 60 | 90 | 120 | 150 | |
Maize | 545 | 519 | 493 | 469 | 445 | 421 |
Soybean 46 | 392 | 388 | 393 | 376 | 370 | 363 |
V. tortilis | 0 | 30 | 60 | 90 | 120 | 150 |
Sunflower oil | 45 | 46 | 47 | 47.9 | 48.8 | 49.8 |
Limestone | 1.38 | 1.37 | 1.28 | 1.23 | 1.2 | 1.2 |
Monocalcium-phosphate | 1.45 | 1.44 | 1.38 | 1.3 | 1.28 | 1.23 |
Salt | 5 | 5 | 5 | 5 | 5 | 5 |
Vitamin–mineral premix | 5 | 5 | 5 | 5 | 5 | 5 |
Lysine–HCL | 1.2 | 1 | 0.98 | 0.96 | 0.95 | 0.94 |
Threonine | 0.97 | 0.86 | 0.75 | 0.64 | 0.52 | 0.4 |
Methionine | 3 | 2.66 | 2.61 | 2.65 | 2.6 | 2.54 |
Chemical composition (g/kg) | ||||||
DM | 993 | 987 | 988 | 973 | 974 | 963 |
Metabolisable energy (MJ/kg) | 138.9 | 138.7 | 140.2 | 141.8 | 140.9 | 143.7 |
Ash | 41 | 39 | 42 | 43 | 46 | 47 |
Crude protein | 203 | 203 | 204 | 201 | 211 | 201 |
Ether extract | 68.9 | 67.9 | 75.1 | 79.5 | 75.7 | 85.9 |
Acid detergent fibre | 20.1 | 29.2 | 28.4 | 32.6 | 41.1 | 42.0 |
Neutral detergent fibre | 80.9 | 106.7 | 100.4 | 115 | 130 | 129 |
Condensed tannins | 0.1 | 0.6 | 1.7 | 2.2 | 5.9 | 9.2 |
Mineral content (mg/kg) | ||||||
Calcium | 78.1 | 132.6 | 139.8 | 332 | 100.7 | 6.8 |
Potassium | 422.7 | 283.3 | 308 | 476 | 234.3 | 467 |
Magnesium | 26.3 | 37.6 | 40.4 | 25.6 | 33.0 | 15.6 |
Sodium | 47.1 | 57.7 | 61.6 | 46.0 | 17.6 | 21.9 |
Potassium | 96.6 | 78.5 | 81.2 | 105.3 | 67.4 | 195 |
Copper | 0.9 | 0.7 | 0.7 | 0.7 | 1.0 | 1.8 |
Iron | 1.1 | 1.9 | 2.6 | 9.8 | 9.9 | 0.5 |
Manganese | 1.6 | 1.5 | 1.3 | 1.6 | 0.4 | — |
Zinc | 1.4 | 1.6 | 1.5 | 1.8 | 0.2 | 0.3 |
DM, dry matter.
Samples from each diet were taken and ground to pass through a 1 mm sieve to determine the proximate chemical composition of the diets. Ash content was analysed using Method 942.05 according to the Association of Official Analytical Chemists [14]. Nitrogen content was determined by a Dumas Method using a LECO TruSpec N (LECO, Pretoria, South Africa) [15]. Crude protein content was calculated by multiplying the nitrogen content by 6.25. Crude fat content was determined using the BÜCHI 810 Soxhlet extractor (BÜCHI, Flawil, Switzerland) [14]. The neutral detergent and acid detergent fibre contents were analysed using the ANKOM Fibre Analyser (Ankom Macedon, NY, USA), as described by Van Soest et al. [16]. The VTLM contained 944 and 218 g/kg dry matter (DM) and crude protein, respectively. The respective contents of ether extracts and ash were 40.1 and 65 g/kg. The acid and neutral detergent fibre contents were 29.8 and 494 g/kg, respectively. The butanol–HCL method was used for the determination of condensed tannins [17]. Mineral contents were determined using a Varian 720 Inductively Coupled Plasma Atomic Emission Spectroscopy (Spettrometro ICP-AES, Vista MXP Rad Varian). The acid hydrolysis method [15] was used to prepare samples for the identification and quantification of amino acids using an amino acid analyzer (SY-KAM, Erising, Germany).
2.2 Experimental design
The study was conducted at Ukulinga Research Farm, University of KwaZulu-Natal, Pietermaritzburg, South Africa. A total of 180 Cobb-500-day-old chicks were fed on a commercial starter diet and water supplied ad libitum for a 14-day brooding period. The sample size used was based on the low levels of variation within the treatment on the variables tested [1]. After the 14-day brooding period, the chickens were randomly allocated to the six experimental diets in a completely randomized design. Chicks were fed on dietary treatments for 21 days. Each treatment was replicated three times, with 10 birds per replicate. The three replicates per treatment were a guideline to reduce sample size. Wood shavings were used as bedding and were changed weekly. At day old, room temperature was set at 30°C and gradually reduced by 1°C until the final temperature was maintained at 21°C (relative humidity = 35%). Birds were subjected to a 12L:12D lighting program throughout the study.
Birds were slaughtered at 35 days old by electrical stunning using 15 V and 50 Hz of pulsed direct current in a prestunner (model SF-7000, Simmons Engineering Co., Dallas, GA) and killed by exsanguination using a sharp knife. After bleeding for 5 min, carcasses were scalded and automatically picked in a 4-bank picker for 30 s (model D-8, Stork-Gamco Inc.). Carcasses were rinsed with water to remove blood and feathers. The Pectoralis major, and the thigh muscles, Peroneus (Fibularis) longus muscle, were cut off from the carcasses, skinned, deboned, vacuum packed, and chilled at a temperature of 4°C for 24 h. Breast and thigh meat samples were analysed for AA, chemical stability, and physico-chemical properties.
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Ethical approval: The experimental procedures using animals were performed according to the ethical guidelines specified under the Certification of Authorization to Experiment on Living Animals provided by the University of KwaZulu-Natal Animal Ethics Committee (Reference No: 004/13/Animal).
2.3 Meat sample extraction
Approximately 5 g of meat sample was obtained from each of the vacuum-sealed samples for meat extraction. The samples were homogenized in 50 mL of 50% aqueous methanol (v/v) and placed in a sonication bath for 1 h. Phenolic compounds in the meat were extracted using methanol and ethanol. The extracts were filtered under vacuum using Whatman filter paper No. 1 and concentrated under vacuum using a BÜCHI Rotavapor (R-114, Flawll, Switzerland) at 35°C. The samples were dried at room temperature. The antioxidant activities in meat were measured using three assays: the radical scavenging (DPPH), ferric-reducing antioxidant power (FRAP), and the β-carotene–linoleic acid assays.
2.3.1 DPPH (2,2-diphenyl-1-picryhydrazyl) radical scavenging activity
Free radical scavenging activity (DPPH) was determined using the method by Karioti et al. [18]. Six concentrations (0.625, 1.25, 2.5, 5, 10, and 20 mg/mL) of stock solutions of each meat extract were used for serial dilutions to create standards. Twenty microlitres of each meat extract (stock solution) were diluted using methanol (130 µL) and then added to a mixture of DPPH solution to give a final volume of 1,500 µL. The reactions were done under dim light and incubated at room temperature. The decrease in purple colouration was measured at 517 nm using an Optizen Pop UV/VIS spectrophotometer (KLAB Keen Innovative Solutions, Techno 2-ro, Yuseong-gu, Daejeon, Republic of Korea) with ascorbic acid used as a standard. The free radical scavenging activity (RSA) was determined by the decolouration of the DPPH solution using the equation:
where AE is the absorbance of the reaction mixture containing the standard antioxidant or extract and AD is the absorbance of the DPPH solution only. RSA (%) was then plotted against the extract concentration. The EC50 values, representing the amount of extract required to reduce the absorbance of DPPH by 50%, were calculated from the logarithmic non-linear regression curve derived from the plotted data.
2.3.2 Ferric-reducing power assay
The FRAP assay was used to determine the activity of antioxidants in meat extracts derived from diets with different levels of VTLM according to the method described by Kuda et al. [19]. The assays were performed in a microtitre plate containing 96 wells with each treatment done in triplicates. Thirty microlitres of methanol was mixed with 30 µL of sample and serial-diluted twofold into all the wells. Forty microlitres of potassium phosphate buffer was prepared at pH 7.2 and added to the wells. Forty microlitres of 1% (w/v) potassium ferricyanide was prepared in a dark room and added to the wells, after which the microtitre plate was wrapped with aluminium foil and incubated for 20 min at 50°C.
After 20 min of incubation, 40 µL of 10% (w/v) trichloroacetic acid, 120 µL of distilled water, and 30 µL of 0.1% w/v FeCl3 prepared in a dark room were added into each well. The mixtures were kept at room temperature for 30 min until a blue coloration was observed. The absorbance of the mixtures was measured at 630 nm using an ELISA plate reader using ascorbic acid as a standard Jonfia-Essien et al. [20]. The results of absorbance were plotted against concentrations.
2.3.3 β-Carotene–linoleic acid assay
The β-carotene–linoleic acid assay was done to determine the activity of antioxidants on broiler meat. The procedure was conducted according to methods described by Amarowicz et al. [21]. One milligram of β-carotene was dissolved in 1 mL of chloroform prepared in a brown Schott bottle. Excess chloroform was removed under vacuum in the fume hood. Linoleic acid (20 µL), Tween 20 (200 µL), and distilled water (50 mL) were mixed thoroughly to give an orange emulsion. The tests were done in triplicate, and butylated hydroxyanisole was used as the standard. Twenty microliters of sample extract were added to the wells. Absorbance was measured at 517 nm using an Optizen Pop UV/VIS spectrophotometer (KLAB Keen Innovative Solutions, Techno 2-ro, Yuseong-gu, Daejeon, Republic of Korea). Absorbance values were recorded at 30-min interval for 3 h while samples were incubated in a water bath at 50°C. The rate of β-carotene bleaching was calculated using the following formula:
where A t = 0 is the absorbance of the emulsion at 0 min and A t = t is the absorbance at time, t (30, 60, 90 min). The average rate of β-carotene bleaching was then calculated based on time intervals of 30, 60, and 90 min. The calculated average rates were used to determine the AA of the sample extracts and expressed as percentage inhibition of the rate of β-carotene bleaching using the formula:
where R control and R sample represent the respective average β-carotene bleaching rates for the negative control and plant extracts. AA was further expressed as the oxidation rate ratio (ORR) based on the equation:
AA was calculated based on the inhibition of coupled oxidation of β-carotene–linoleic acid against the negative control at t = 90 min using the following equation:
where A 0 is the initial absorbance of the VTLM (without antioxidant) and At A is the absorbance of the VTLM (with antioxidant) at time t.
2.4 Meat quality characteristics
The methods described by Honikel [22] were used to determine meat pH, colour, water holding capacity, drip loss, and cooking loss (CL). The pH was determined using a pH meter probe at 24 h post-mortem. Three areas of the meat were poked with the probe. A thermometer pointer was pointed into the meat after being cleaned with distilled water and a cotton towel. Temperature was measured at 7 h post-mortem.
The Pectoralis major was cut off from the carcasses, deboned and meat colour (L*, a*, b*), pH, water holding capacity, CL, and drip loss were measured [22]. Fresh breast fillets were evaluated for lightness (L*), redness (a*), and yellowness (b*) colour readings using a portable colorimeter (Konica Minolta Chroma Meters CR-400, New Jersey, USA). Readings were taken on the ventral surface of the breast fillet to prevent any interference of scalding at an angle of 10°, using illuminant D65 with an illumination viewing system as 45°/0° (Commission International de l’Eclairage). The pH was measured in muscle samples in triplicates using a potable Crison pH-meter 25 (Crison, Alella, Barcelona, Spain).
Water holding capacity was determined by measuring water loss in meat when pressure was applied to the breast muscle [22]. Breast fillet cubes weighing 2 g were laid between two circular filter papers, and a 10 kg weight pressure was applied for 5 min. Samples were removed from the filter papers and reweighed. Water loss was calculated as the weight difference between the initial and final weight. Drip loss was measured by weighing steaks of breast meat and initial weights were recorded [22]. A small incision was made on the corner of the steak, suspended in a plastic bag, and placed in a refrigerator at 4°C for 24 h.
Caution was made to ensure that the meat did not touch the sides of the bag at any stage. The meat sample was removed from the bag and gently blotted dry with a paper towel, and final weight was measured. Drip loss was calculated as: % Drip loss = [(initial weight – final weight) ÷ (initial weight)] × 100. To determine CL, 10 g of freshly cut steaks were weighed (initial weight). The steaks were placed in thin-walled plastic bags and boiled at 80°C in a water bath for 60 min. Samples were removed from the water bath and chilled at 4°C until equilibrated. The meat was taken from the bag, gently blotted dry, and weighed (final weight). CL was calculated as: % CL = [(initial weight – final weight) ÷ initial weight] × 100.
Texture of the meat was measured on the raw meat samples. All breasts and thigh muscles were made identical. For breasts, a cylindrical of 14 mm was used to cut similar pieces, and for thighs, a scissor and a ruler were used to make samples of 10 mm in length. The texture of meat samples was determined using the Warner–Bratzler shear force, according to Honikel [22].
2.5 Proximate chemical and mineral composition of broiler meat
After freeze-drying the meat, moisture content was calculated as described by the AOAC Official Method 934.01 [14]. The DM was then calculated from the percentage of moisture content. Ether extract was evaluated using a Soxhlet method on the Soxhlet BÜCHI 810 (BÜCHI, Switzerland). Five grams of meat powdered sample was weighed into a thimble, dried in an oven for an hour, plugged with cotton wool, and placed into a Soxhlet extractor. A Buchi fat beaker with extraction stones was weighed, three-quarter filled with petroleum ether, and placed onto the heating place of the Soxhlet extractor. After 4 h of extraction, a beaker was left overnight on the bench for the residual solvent to evaporate and dried in an oven for an hour.
The weight of the beaker was measured, and the ether extract was calculated as described by the AOAC method 920.39 [14]. Nitrogen was analysed using the LECO TruSpec Nitrogen Analyser. The percentage of nitrogen was multiplied by a conversion factor of 6.25, as described by the AOAC Official Method 990.03 [15]. The weight of a crucible was measured, 1 g of powdered meat sample added and a crucible with a sample was placed in a furnace overnight at 550°C. The weight of a crucible with ash was measured, and the percentage ash was calculated. Organic matter was calculated from the percentage of ash as described by the AOAC Official Method 942.05 [15].
Calcium, sodium, iron, manganese, copper, zinc, and phosphorus were determined from the ash content. Ashed samples were placed into 100 mL conical flasks, and 5 mL of 6 M hydrochloric acid (HCl) was added and boiled to evaporate as described in the AOAC Official Method 984.27 [15]. Five millilitres of 6M nitric acid were added and boiled to dissolve the ash contents. The mixture was then filtered using Whatman’s filter papers no. 1 into 100 mL volumetric flasks and made up to the mark with deionized water. The ICP-AES (Spettrometro ICP-AES, Vista MXP Rad Varian) was used to analyse minerals using respective standards.
2.6 Statistical analyses
The responses of AA, ferric-reducing power, and physicochemical properties of breast meat, growth performance, blood biochemistry, and liver enzymes with VTLM inclusion levels were determined using the response surface regression procedure for Statistical Analysis System (SAS) (2011). Significance levels were considered at P < 0.05. The preliminary general linear models procedure showed that both storage time and VTLM inclusion influenced meat quality characteristics, but no interaction existed between inclusion level and storage period on meat quality characteristics. Water holding capacity, pH, and drip loss did not change over time and across inclusion levels. As such, responses in AA, ferric-reducing power, and physicochemical properties of breast meat to VTLM inclusion and storage time were determined separately using the response surface regression procedure for SAS (2011).
For quadratic relationships, a piecewise regression analysis was done using the non-linear model procedure to determine the threshold time at which the VTLM inclusion, proanthocyanidin content, and storage time caused AA, ferric-reducing power, and physicochemical properties to be constant, increase, or decrease.
The model: Yi = yo + y1 + y2 (Ixc) (xi − xc) + εi, using parameters (yo, y1, y2) and the xc, the two segmented simple regression functions;
where Yj = yo + y1 (xi), for xi ≤ xc and Yk = yo + (y1 + y2) xi, for xi ≥ xc,
where Yi is the response variable when VTLM inclusion, proanthocyanidin content, and storage time are constraining AA, ferric-reducing power, and physicochemical properties;
Yj is the response variable before VTLM inclusion, proanthocyanidin content, and storage time is constraining AA, ferric-reducing power, and physicochemical properties;
Yk is the response variable when VTLM inclusion, proanthocyanidin content, and storage time exceeds the maximal VTLM inclusion, proanthocyanidin content, and storage time;
Yo = yo − y2 xc; when xi = 0; yo is the intercept or minimum Yi when xc < 0; y1 is the rate of change in Yi when xi < xc; y2 is the rate of increase in Yi when xi > xc; xi is the VTLM inclusion, proanthocyanidin content and storage time; xc is the optimum VTLM inclusion, proanthocyanidin content and storage time beyond which AA, ferric-reducing power, and physicochemical properties were increased or reduced by increase in VTLM inclusion, proanthocyanidin content and storage time; and Ixc is a dummy variable with value 0 when xi < xc and 1 when xi ≥ xc. Significance levels were considered at P < 0.05.
3 Results
3.1 AA of feeds and meat samples
The concentration (mg/mL) of meat extracts was plotted against the absorbance in the ferric-reducing power assay for each treatment (Figure 1). A concentration-dependent response of ferric-reducing power of meat extracts with increasing inclusion levels of VTLM was observed. All inclusion levels of VTLM showed similar patterns of increasing strength of reducing power as the concentration of meat extracts increased. Inclusion levels of 120 g/kg VTLM had the highest reducing power, comparable to that of ascorbic acid.

Ferric-reducing AA of different inclusion levels of VTLM.
A range of AA of between 4.3 and 49% based on the average rate of β-carotene–linoleic acid AA was recorded. The response of β-carotene–linoleic acid AA of diets increased with increasing inclusion level VTLM. The highest AA recorded was 39.96% at an inclusion level of 113.3 g/kg VTLM (Table 2 and Figure 2). There was a quadratic response in β-carotene–linoleic acid assay AA of breast meat with increases in VTLM inclusion levels (Table 2 and Suppl. Figure 3). AA of meat was highest at 40.8% corresponding to an inclusion level of 115 g/kg DM VTLM.
Responses of AA, pH, and mineral content (Y) of broiler meat to graded levels of VTLM inclusion and content of condensed tannins in the diets (X)
Response parameter (Y) | VTLM inclusion (g/kg DM) (X) | Regression analysis | Turning point | |||||
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VTLM | Intercept | Linear | Quadratic | RMSE | R 2 value | P value | X | Y |
AA (β-carotene) (%) | 1.48 ± 4.352 | 0.68 ± 0.136 | −0.003 ± 0.0009 | 4.8015 | 0.954 | 0.0500 | 113.3 | 40.0 |
ORR (β-carotene) | 0.98 ± 0.043 | −0.007 ± 0.0013 | 0.00003 ± 0.000009 | 0.0473 | 0.956 | 0.0400 | 116.7 | 0.57 |
Breast meat | ||||||||
DPPH (%) | 30.63 ± 0.2014 | 0.02 ± 0.006 | — | 0.2222 | 0.986 | 0.0007 | — | — |
FRAP | 0.12 ± 0.009 | 0.001 ± 0.0003 | — | 0.0103 | 0.920 | 0.0116 | — | — |
β-carotene (%) | 1.07 ± 4.467 | 0.69 ± 0.140 | −0.003 ± 0.0009 | 4.9288 | 0.951 | 0.0500 | 115 | 40.8 |
VTLM | Condensed tannins (g/kg DM) (X) | |||||||
AA (β-carotene) (%) | 6.00 ± 0.397 | 16.67 ± 2.725 | −1.43 ± 0.286 | 5.166 | 0.946 | 0.0153 | 5.83 | 54.56 |
ORR (β-carotene) | 0.93 ± 0.052 | −0.17 ± 0.036 | 0.01 ± 0.004 | 0.069 | 0.908 | 0.0293 | 8.5 | 0.21 |
Breast meat | ||||||||
DPPH (%) | 30.76 ± 0.175 | 0.89 ± 0.120 | −0.05 ± 0.013 | 0.2277 | 0.985 | 0.0230 | 8.9 | 34.72 |
FRAP | 0.13 ± 0.007 | 0.03 ± 0.005 | −0.002 ± 0.0005 | 0.0096 | 0.930 | 0.0310 | 7.5 | 0.24 |
AA (β-carotene) (%) | 5.66 ± 3.989 | 16.88 ± 2.735 | −1.46 ± 0.287 | 5.1856 | 0.946 | 0.0147 | 5.78 | 54.48 |
AA: antioxidant activity; DPPH: 2,2-diphenyl-1-picryhydrazyl radical scavenging activity; β-carotene–linoleic acid assay AA; FRAP: ferric-reducing power antioxidant assay activity; ORR: oxidative rate ratio; RMSE: root mean square error.

Responses in β-carotene–linoleic acid AA of diets containing increasing levels of VTLMs.

Responses in ferric-reducing power, β-carotene–linoleic acid AA, and DPPH radical scavenging activity of breast meat with increasing inclusion levels of VTLM.
The level of inhibition of the DPPH radical increased linearly in breast meat with increasing inclusion level VTLM using the DPPH radical scavenging activity assay (Table 2 and Suppl. Figure 3). The AA increased by 0.02% per 1 g/kg DM increase in V. tortilis in the diet. Ferric-reducing power of breast meat gradually increased by 0.001 per 1 g/kg DM increase in V. tortilis in the diet. The highest AA obtained for diets and meat samples was between 40 and 40.8% at VTLM inclusion levels of 113–115 g/kg DM.
There were significant quadratic relationships between DPPH radical scavenging activity, β-carotene–linoleic acid assay AA, ferric-reducing power AA of the diets and meat samples with increasing condensed tannin concentration in the diets (Table 2).
3.2 Responses of meat colour, physico-chemical properties of meat, blood metabolites, and liver enzymes to VTLM inclusion
There was a quadratic response in a* and b* values of the breast with increasing VTLM inclusion levels in broiler diets (Table 3). Increasing levels of VTLM up to 125 and 117 g/kg DM in broiler diets increased a* and b* to maximum values of 8.7 and 19.7, respectively, for a storage period lasting 28 days. The calcium content of the breast meat increased by 0.02, while the copper content gradually decreased at a rate of 0.01 per 1 g/kg DM increase in VTLM in broiler diets (Table 3). Mineral meat quality parameters such as phosphorus, potassium, zinc, manganese, magnesium, and iron were not significant for all treatments. The pH values ranged between 5.7 and 6.5 for all treatments. No responses in lightness (L*), shear force, drip loss, CL, proximate chemical composition, trace mineral content, and pH of breast meat with increases in levels of VTLM inclusion of breast meat was observed during the 28-day storage period.
Responses in colour, CL, texture, and mineral content of breast meat to graded levels of VTLM inclusion (X) in broiler diets
Colour | VTLM inclusion (g/kg DM) (X) estimates | Regression analysis | Turning point | |||||
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Intercept | Linear | Quadratic | RMSE | R 2 value | P value | X | Y | |
Day 0–7 | ||||||||
a* | 5.31 ± 0.448 | 0.034 ± 0.0140 | — | 1.2109 | 0.379 | 0.0001 | — | — |
b* | 15.54 ± 0.628 | 0.07 ± 0.020 | −0.0003 ± 0.0001 | 1.6977 | 0.406 | 0.0187 | 116.7 | 19.62 |
Day 7–14 | ||||||||
L* | 51.90 ± 2.070 | −0.25 ± 0.065 | 0.001 ± 0.0004 | 5.5949 | 0.329 | 0.0027 | 125 | 36.28 |
a* | 5.27 ± 0.901 | 0.10 ± 0.03 | −0.0006 ± 0.0002 | 2.4361 | 0.277 | 0.0029 | 83.3 | 13.55 |
Texture | 0.47 ± 0.029 | 0.004 ± 0.0009 | — | 0.0445 | 0.927 | 0.0001 | — | — |
Day 14–21 | ||||||||
L* | 45.33 ± 1.550 | 0.03 ± 0.045 | — | 4.1895 | 0.233 | 0.0034 | — | — |
a* | 6.43 ± 0.685 | 0.04 ± 0.021 | −0.0003 ± 0.0001 | 1.8512 | 0.158 | 0.0302 | 66.7 | 7.76 |
b* | 15.13 ± 0.917 | 0.10 ± 0.03 | −0.0006 ± 0.0002 | 2.4792 | 0.314 | 0.0052 | 83.3 | 19.3 |
Day 21–28 | ||||||||
a* | 5.27 ± 0.590 | 0.02 ± 0.017 | — | 1.5953 | 0.366 | 0.0001 | — | — |
b* | 15.67 ± 0.750 | 0.03 ± 0.024 | — | 2.0259 | 0.456 | 0.0001 | — | — |
Day 0–28 | ||||||||
a* | 5.57 ± 0.367 | 0.05 ± 0.011 | −0.0002 ± 0.00007 | 1.9819 | 0.140 | 0.0014 | 125 | 8.7 |
b* | 15.61 ± 0.462 | 0.07 ± 0.015 | −0.0003 ± 0.00009 | 2.5000 | 0.205 | 0.0016 | 116.7 | 19.7 |
Ca (%) | 1.59 ± 0.227 | 0.02 ± 0.007 | — | 0.2508 | 0.997 | 0.0100 | — | — |
Cu (%) | 0.75 ± 0.109 | −0.01 ± 0.003 | — | 0.1198 | 0.899 | 0.0200 | — | — |
L*: lightness, a*: redness, b*: yellowness, RMSE: root mean square error.
There was a quadratic response in a* value of thigh meat with increasing VTLM inclusion levels in broiler diets (Table 4). Increasing levels of VTLM up to 75 g/kg DM in broiler diets increased a* to a maximum value of 7.7 for a storage period lasting 28 days. There was a linear increase in b* value and CL of thigh meat with an increase in VTLM in broiler diets. There were no responses in lightness (L*), shear force, drip loss, CL, proximate chemical composition, trace mineral content, and pH of breast meat, with increases in levels of VTLM inclusion of breast meat were observed during the 28-day storage period.
Responses in colour, CL, and texture of thigh meat to graded levels of VTLM inclusion (X) in broiler diets
Parameter (Y) | VTLM inclusion (g/kg DM) (X) estimates | Regression analysis | Turning point | |||||
---|---|---|---|---|---|---|---|---|
Colour | Intercept | Linear | Quadratic | RMSE | R 2 value | P value | X | Y |
Day 0–7 | ||||||||
L* | 49.32 ± 0.958 | 0.60 ± 0.030 | — | 2.5889 | 0.277 | 0.0019 | — | — |
b* | 14.82 ± 0.529 | 0.09 ± 0.017 | −0.0004 ± 0.0001 | 1.4305 | 0.533 | 0.0002 | 112.5 | 19.9 |
Texture | 0.42 ± 0.01 | 0.0006 ± 0.0005 | — | 0.0231 | 0.820 | 0.0001 | — | — |
Day 7–14 | ||||||||
L* | 48.90 ± 2.491 | −0.34 ± 0.078 | 0.002 ± 0.0005 | 6.7326 | 0.362 | 0.0003 | 85 | 34.4 |
a* | 7.57 ± 0.872 | 0.08 ± 0.027 | −0.0006 ± 0.0002 | 2.3577 | 0.264 | 0.0021 | 66.7 | 10.3 |
CL | 16.74 ± 1.283 | 0.06 ± 0.040 | — | 2.0025 | 0.394 | 0.0477 | — | — |
Texture | 0.26 ± 0.052 | 0.0006 ± 0.002 | — | 0.0816 | 0.810 | 0.0002 | — | — |
Day 14–21 | ||||||||
L* | 41.07 ± 0.998 | 0.06 ± 0.031 | — | 2.6981 | 0.391 | 0.0001 | — | — |
b* | 15.12 ± 0.737 | 0.12 ± 0.023 | −0.0007 ± 0.0001 | 1.9918 | 0.484 | 0.0001 | 85.7 | 20.3 |
Day 21–28 | ||||||||
b* | 17.47 ± 1.028 | −0.07 ± 0.032 | 0.0005 ± 0.0002 | 2.7778 | 0.156 | 0.0197 | 70 | 15.02 |
Day 0–28 | ||||||||
a* | 6.90 ± 0.408 | 0.03 ± 0.013 | −0.0002 ± 0.00008 | 2.2061 | 0.061 | 0.0075 | 75 | 7.11 |
b* | 15.71 ± 0.527 | 0.04 ± 0.017 | — | 2.846 | 0.050 | 0.0500 | — | — |
CL | 18.01 ± 0.936 | 0.02 ± 0.029 | — | 2.921 | 0.177 | 0.0033 | — | — |
L*: lightness, a*: redness, b*: yellowness, RMSE: root mean square error.
There was a quadratic response in alkaline phosphatase (ALP) and albumin concentrations with increases in VTLM inclusion levels (Table 5). The concentration of ALP and albumin was highest at 340 U/L and 2.2, respectively, corresponding to inclusion levels of 92 and 75 g/kg DM VTLM. There were linear increases in concentrations of alanine transaminase (ALT), aspartate aminotransferase (AST), and iron, while the concentration of urea decreased with increasing levels of VTLM in broiler diets.
Responses in liver enzymes and blood metabolites to graded levels of VTLM inclusion (X) in broiler diets
Parameter (Y) | VLTM inclusion (g/kg DM) (X) estimates | Regression analysis | Turning point | |||||
---|---|---|---|---|---|---|---|---|
Liver enzymes | Intercept | Linear | Quadratic | RMSE | R 2 value | P value | X | Y |
ALP | 256 ± 11.779 | 1.84 ± 0.369 | −0.01 ± 0.002 | 12.9961 | 0.892 | 0.0169 | 92 | 340.64 |
ALT | 84.50 ± 0.776 | 0.02 ± 0.024 | — | 0.8563 | 0.741 | 0.0610 | — | — |
AST | 140 ± 5.555 | 0.34 ± 0.174 | — | 6.1290 | 0.923 | 0.0092 | — | — |
Blood metabolites | ||||||||
Albumin | 2.31 ± 0.003 | −0.003 ± 0.0001 | 0.00002 ± 0.0000006 | 0.0034 | 0.997 | 0.0001 | 75 | 2.20 |
Urea | 7.12 ± 0.065 | −0.006 ± 0.0020 | — | 0.0716 | 0.932 | 0.0084 | — | — |
Iron | 300 ± 2.327 | 0.02 ± 0.073 | — | 2.5672 | 0.782 | 0.0489 | — | — |
ALP: alkaline phosphatase; ALT: alanine transaminase; AST: aspartate aminotransferase; RMSE: root mean square error.
3.3 Responses of meat colour and physico-chemical properties of meat to storage time
The L* value of breast meat decreased with storage time to a minimum of 45.8, after which an increase in storage time beyond 10.8 days improved lightness (Table 6). The texture of breast meat increased until 20 days of storage after which further storage resulted in breast of lower texture. At the inclusion level of 150 g/kg DM VTLM, L*, a*, and b* values of breast meat decreased and reached minimum values after 9, 10, and 7 days of storage, and further storage beyond these days improved these parameters. Our results show that treatments took 10.8 days to have a positive effect on the lightness of breast meat. The L* value of thigh meat decreased with storage time to a minimum of 40.7, after which an increase in storage time beyond 11.5 days improved lightness (Table 7).
Responses in colour and texture of breast meat to storage length (X)
Parameter (Y) | Storage length (days) (X) estimates | Regression analysis | Turning point | |||||
---|---|---|---|---|---|---|---|---|
Colour | Intercept | Linear | Quadratic | RMSE | R 2 value | P value | X | Y |
0 g/kg VTLM | ||||||||
L* | 50.20 ± 0.726 | −0.47 ± 0.166 | 0.02 ± 0.008 | 1.8234 | 0.300 | 0.0230 | 11.8 | 47.4 |
a* | 5.11 ± 0.568 | 0.36 ± 0.130 | −0.02 ± 0.006 | 1.4276 | 0.325 | 0.0054 | 9.0 | 6.7 |
Texture | 0.35 ± 0.181 | 0.07 ± 0.041 | — | 0.2623 | 0.667 | 0.0279 | — | — |
30 g/kg VTLM | ||||||||
a* | 6.88 ± 0.429 | −0.25 ± 0.098 | 0.01 ± 0.004 | 1.0783 | 0.387 | 0.0046 | 12.5 | 5.3 |
b* | 16.85 ± 0.709 | 0.02 ± 0.163 | — | 1.7812 | 0.304 | 0.0079 | — | — |
Texture | 0.50 ± 0.073 | 0.02 ± 0.017 | — | 0.1059 | 0.833 | 0.0042 | — | — |
60 g/kg VTLM | ||||||||
L* | 53.64 ± 1.609 | −2.44 ± 0.369 | 0.11 ± 0.017 | 4.0434 | 0.682 | 0.0001 | 11.1 | 40.1 |
a* | 5.66 ± 0.887 | 0.65 ± 0.204 | −0.03 ± 0.009 | 2.2301 | 0.390 | 0.0018 | 10.8 | 9.2 |
b* | 19.13 ± 0.524 | −0.47 ± 0.120 | 0.01 ± 0.005 | 1.3159 | 0.575 | 0.0127 | 23.5 | 13.6 |
Texture | 0.39 ± 0.073 | 0.08 ± 0.017 | −0.003 ± 0.0008 | 0.1061 | 0.863 | 0.0123 | 13.3 | 0.92 |
90 g/kg VTLM | ||||||||
a* | 8.76 ± 0.920 | 0.32 ± 0.211 | −0.02 ± 0.010 | 2.3129 | 0.236 | 0.05 | 8.0 | 10.0 |
b* | 17.22 ± 1.364 | 0.89 ± 0.313 | −0.04 ± 0.014 | 3.4282 | 0.277 | 0.0117 | 11.3 | 22.2 |
Texture | 0.19 ± 0.088 | 0.11 ± 0.020 | −0.004 ± 0.0009 | 0.1284 | 0.914 | 0.0103 | 13.8 | 0.95 |
120 g/kg VTLM | ||||||||
b* | 21.16 ± 0.564 | −0.37 ± 0.129 | 0.02 ± 0.006 | 1.4180 | 0.284 | 0.0121 | 9.3 | 19.4 |
Texture | 0.40 ± 0.08 | 0.09 ± 0.018 | −0.003 ± 0.0008 | 0.1169 | 0.886 | 0.0189 | 15 | 1.1 |
150 g/kg VTLM | ||||||||
L* | 50.37 ± 0.919 | −0.70 ± 0.211 | 0.04 ± 0.010 | 2.3102 | 0.446 | 0.0009 | 8.75 | 47.3 |
a* | 7.92 ± 0.427 | −0.43 ± 0.09 | 0.02 ± 0.004 | 1.0724 | 0.548 | 0.0001 | 10.8 | 5.6 |
b* | 18.09 ± 0.469 | −0.44 ± 0.108 | 0.03 ± 0.005 | 1.1784 | 0.708 | 0.0001 | 7.3 | 16.5 |
Texture | 0.40 ± 0.07 | 0.10 ± 0.016 | −0.003 ± 0.0007 | 0.1017 | 0.923 | 0.0055 | 16.7 | 1.2 |
Combined | ||||||||
L* | 50.33 ± 0.743 | −0.86 ± 0.171 | 0.04 ± 0.008 | 4.5758 | 0.1738 | 0.0001 | 10.8 | 45.8 |
Texture | 0.37 ± 0.044 | 0.08 ± 0.010 | −0.002 ± 0.0005 | 0.1560 | 0.7344 | 0.0001 | 20.0 | 1.2 |
L*: lightness, a*: redness, b*: yellowness, RMSE: root mean square error, VTLM: V. tortilis leaf meal.
Responses in colour, CL, texture, and pH of thigh meat to storage length (X)
Parameter (Y) | Storage length (h) (X) Estimates | Regression analysis | Turning point | |||||
---|---|---|---|---|---|---|---|---|
Thigh meat | Intercept | Linear | Quadratic | RMSE | R 2 value | P value | X | Y |
0 g/kg VTLM | ||||||||
a* | 5.57 ± 0.750 | 0.14 ± 0.172 | — | 1.8858 | 0.193 | 0.0368 | — | — |
b* | 14.69 ± 0.924 | 0.06 ± 0.212 | — | 2.3222 | 0.168 | 0.0500 | — | — |
CL | 18.16 ± 0.96 | −0.58 ± 0.220 | 0.04 ± 0.010 | 1.3923 | 0.785 | 0.0176 | 7.3 | 16.1 |
Texture | 0.39 ± 0.127 | −0.01 ± 0.029 | — | 0.1848 | 0.740 | 0.0174 | — | — |
30 g/kg% VTLM | ||||||||
L* | 52.39 ± 1.388 | −2.73 ± 0.318 | 0.12 ± 0.015 | 3.4870 | 0.780 | 0.0001 | 11.4 | 36.9 |
pH | 6.19 ± 0.007 | −0.009 ± 0.0015 | — | 0.0067 | 0.995 | 0.0465 | — | — |
60 g/kg VTLM | ||||||||
b* | 49.48 ± 2.170 | −2.10 ± 0.498 | 0.11 ± 0.022 | 5.4535 | 0.530 | 0.0001 | 9.6 | 39.5 |
90 g/kg VTLM | ||||||||
L* | 49.73 ± 2.139 | −2.03 ± 0.491 | 0.10 ± 0.02 | 5.3764 | 0.475 | 0.0003 | 10.2 | 39.4 |
a* | 5.45 ± 0.810 | 0.63 ± 0.186 | −0.02 ± 0.008 | 2.0356 | 0.381 | 0.0082 | 15.8 | 10.4 |
b* | 17.60 ± 1.257 | 0.68 ± 0.288 | −0.04 ± 0.013 | 3.1589 | 0.278 | 0.0129 | 8.5 | 20.5 |
120 g/kg VTLM | ||||||||
L* | 54.37 ± 2.401 | −2.00 ± 0.552 | 0.09 ± 0.025 | 6.0459 | 0.387 | 0.0028 | 11.1 | 43.3 |
pH | 6.21 ± 0.004 | −0.01 ± 0.001 | — | 0.0045 | 0.999 | 0.0152 | — | — |
150 g/kg VTLM | ||||||||
L* | 52.00 ± 1.444 | −1.60 ± 0.331 | 0.07 ± 0.015 | 3.6291 | 0.533 | 0.0001 | 11.4 | 42.9 |
Texture | 0.48 ± 0.100 | 0.05 ± 0.023 | — | 0.1455 | 0.684 | 0.0338 | — | — |
Combined | ||||||||
L* | 51.31 ± 0.833 | −1.84 ± 0.191 | 0.08 ± 0.009 | 5.1278 | 0.405 | 0.0001 | 11.5 | 40.7 |
a* | 6.15 ± 0.354 | 0.27 ± 0.081 | −0.01 ± 0.004 | 2.1788 | 0.084 | 0.0062 | 13.5 | 63.3 |
CL | 19.07 ± 0.811 | −0.19 ± 0.186 | — | 2.8848 | 0.197 | 0.0090 | — | — |
Texture | 0.39 ± 0.068 | 0.05 ± 0.015 | — | 0.2431 | 0.395 | 0.0001 | — | — |
L*: lightness, a*: redness, b*: yellowness, RMSE: root mean square error, VTLM: Vachellia tortilis leaf meal.
The a* value, however, increased until 14 days of storage after which further storage resulted in deterioration in redness. The pH of thigh meat decreased gradually by 0.009 (30 g/kg VTLM) and 0.01 (120 g/kg VTLM) per day of storage and was lowest at pH 6.07 and 5.96 on day 21 of storage.
4 Discussion
The current study explored the possibilities of producing broiler meat with high chemical stability and long shelf life using the natural antioxidant properties of VTLM. Using the β-carotene–linoleic acid assay, the AA of the VTLM increased, but did not go beyond 50% on all the inclusion levels. The levels of VTLM AA represent half the potency of extracts from Acacia nilotica seed (93%) and fruit flesh (90%) extracts [23]. The similar magnitudes in AA of the diets and meat extracts indicate that most of the AA of VTLM was transferred to the breast meat, suggesting that AA of meat is improved by feeding chickens on VTLM.
A linear and quadratic increase in radical scavenging activities of breast meat with increasing levels of feed has been reported [24]. The observed AA was comparable to Moringa diets [25]. Meat samples from goats supplemented with Moringa leaf meal exhibited between 38 and 59% antioxidant capacity. The observed linear relationship suggests that the antioxidant potency present in broiler meat samples of VTLM can reduce lipid oxidation in meat, as reported earlier [26,27].
The DPPH scavenging potential of the breast meat samples from broilers fed on VTLM diets can be attributed to its high hydrogen donating ability, increasing the stability of broiler meat to lipid oxidation and spoilage [28]. The current findings suggest that VTLM improved the antioxidant properties of broiler breast meat. Response of lightness, redness, and yellowness depends on polyphenol concentration and species of plant extract [26,29]. Lightness decreased as the storage period increased [27]. The observed linear increases in the redness of meat with increases in VTLM inclusion agree with Flores et al. [30]. The presence of polyphenolic compounds increases the redness of mutton [31,32]. Lower lightness values in pâté samples with increasing amounts of natural antioxidant [8]. Pork patties treated with vine tea extract had stable a* and b* values [22]. The lack of response in lightness to increases in VTLM inclusion suggests that lightness may not be a suitable indicator of colour stability of broiler meat.
The presence of antioxidants in broiler meat reduces the amounts of metmyoglobin that develop during storage, which helps maintain the meat’s colour. A decrease in the redness of meat with storage time is expected due to an increase in metmyoglobin content [33]. For example, pork produced from pigs supplemented with antioxidant extracts from Hyssop (Hyssopus officinalis L.) and Rosemary (Rosmarinus officinalis L.) showed stable yellowness during storage. Similarly, the lightness, redness, and yellowness of raw beef burgers treated with Moringa seeds [9] and A. nilotica fruit flesh extract decreased with storage time, indicating a loss of colour stability. In poultry, pomegranate and A. nilotica seed extracts have been found to improve the redness of chicken burgers during storage, suggesting that these antioxidants are effective in maintaining colour stability in chicken meat as well. This comparison highlights that while antioxidants generally help maintain meat colour across different species, their effectiveness can vary depending on the type and concentration of the antioxidant used.
Treatment of chicken patties using Acacia seed water extract prolonged shelf-life to 15 days in refrigerated storage at a maximum concentration of 150 mg/100 mL [27]. The observed increase in b* values during storage could be related to the increase in metmyoglobin [33,34]. The observed lack of response in pH, lightness, and redness of meat with storage time could suggest that more storage time was required to induce a response of colour. Lightness could, therefore, be the best indicator of colour stability and shelf life of broiler meat. These findings suggest that using meat colour as an indicator of meat quality is not always appropriate when assessing the influence of AA on meat spoilage. There is a need to explore the response of meat colour to VTLM inclusion above 150 g/kg DM, although it severely reduces the growth rate of broilers [10].
There was no response in the activity of enzymes that prevent damage to tissues including catalase activity glutathione and superoxide dismutase enzyme concentrations with increases in leaf meal inclusion level, but there was a linear increase in glutathione peroxidase in meat samples [35]. These findings may suggest the protective effect of condensed tannins on cell damage, which may be attributed to antioxidant activities of the VTLM. The reduction in ash content in meat with VTLM inclusion concurs with reports that proanthocyanidins prohibit the absorption of minerals [36,37,38]. An increase in calcium was, however, expected owing to the high content of minerals in VTLM. Moringa leaf meal improves the Ca:P ratio in meat [37]. Hassan et al. [39] reported that polyphenolic compounds reduce magnesium and sodium content in meat. Such findings suggest that VTLM inclusion reduces the chances of hypertension in humans. Polyphenols that bind phytate and iron may reduce iron availability.
The pH of both breast and thigh meat was within a range of 5.5–6.5 during storage [40]. Acacia seed water extract, however, improved the pH stability of beef patties, showing its protective role against spoilage [41]. It is possible that VTLM was not as effective in preventing lipid oxidation in broiler meat. The lack of a relationship between drip and CL with increasing levels of VTLM concurs with earlier reports [41]. Increasing the number of replications may need to be considered to increase the accuracy and reliability of the findings.
5 Conclusions
Increasing levels of VTLM up to 125 and 117 g/kg DM in broiler diets increased a* and b* to maximum values of 8.7 and 19.7, respectively, for a storage period lasting 28 days. There was a quadratic response in ALP and albumin concentrations with increases in VTLM inclusion levels. Inclusions of 115 g/kg DM VTLM are recommended for improved AA but without improvement of colour stability of broiler meat.
Acknowledgments
The authors are grateful to the staff at Ukulinga Research Farm for caring for the birds during the trial.
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Funding information: This research was funded by the University of KwaZulu-Natal, Productivity Research grant number P530.
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Author contributions: All authors have accepted responsibility for the entire content of this manuscript and consented to its submission to the journal, reviewed all the results and approved the final version of the manuscript. Conceptualisation, M.C.; methodology, N.M., M.C., M.M. (2nd co-author) and S.Z.N.; software, N.M.; validation, N.M., M.C., M.K., M.M. (6th co-author), and B.N.; statistical analysis, N.M., B.N., M.V.M. and M.M. (2nd co-author); investigation, N.M., and M.K.; resources, M.C., M.K. data curation, N.M., M.M. (2nd co-author) and writing – original draft preparation, N.M., M.M. (6th co-author), M.V.M., M.M (2nd co-author) and S.Z.N.; writing – review and editing, M.K., M.M. (6th co-author), M.V.M., M.M. (2nd co-author), S.Z.N. and M.C.; visualization, M.M. (2nd co-author), M.V.M. and S.Z.N.; supervision, M.C.; project administration, M.M. (2nd co-author).
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Conflict of interest: Authors state no conflict of interest.
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Data availability statement: The datasets generated during and/or analysed during the current study are available from the corresponding author on reasonable request.
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