Effect of Two Different Stunning Methods on the Quality Traits of Rabbit Meat
Abstract
:Simple Summary
Abstract
1. Introduction
2. Materials and Methods
2.1. Animals
2.2. Blood Stress Biomarkers
2.3. Quality of Rabbit Meat
2.3.1. Acidity Measures
2.3.2. Colour Measurements
2.3.3. Capacity to Hold Residual Water and Water Fractions
2.3.4. Texture Analyses
2.3.5. Chemical Composition
2.4. Statistical Analysis
- µ—the overall mean of the analysed trait,
- δi—the fixed effect of the genotype (i = 1, 2),
- b—the partial linear regression coefficient,
- wik—the body weight at slaughter of animal,
- eik—the random error.
- µ—the overall mean of the analysed trait,
- αj—the fixed effect of the stunning method (j = 1, 2),
- δi—the fixed effect of the genotype (i = 1, 2),
- (αδ)ji—interaction (stunning method × genotype),
- b—the partial linear regression coefficient,
- wijk—the body weight at slaughter,
- eijk—the random error.
- µ—the overall mean of the analysed trait,
- αj—the fixed effect of the stunning method (j = 1, 2),
- δi—the fixed effect of the genotype (i = 1, 2),
- πk—the random effect of the animal
- γk(l)—the random effects of the muscle (l = 1, 2) nested in the animal,
- βk(l)(m)—the effect of the time post-mortem (m = 1, 2, 3) as the repeated measures nested in the lth muscle nested in the animal,
- (δαγβ)jilm—interaction (stunning method × genotype × muscle × time post-mortem),
- b—the partial linear regression coefficient,
- wijkl—the body weight at slaughter,
- eijklm—the random error.
- µ—the overall mean of the analysed trait,
- αj—the fixed effect of the stunning method (j = 1, 2),
- δi—the fixed effect of the genotype (i = 1, 2),
- πk—the random effect of the animal
- γk(l)—the random effects of the muscle nested in the animal,
- (δαγ)jil—interaction (stunning method × genotype × muscle),
- b—the partial linear regression coefficient,
- wijkl—the body weight at slaughter,
- eijkl—the random error.
- µ—the overall mean of the analysed trait,
- αj—the fixed effect of the stunning method (j = 1, 2),
- δi—the fixed effect of the genotype (i = 1, 2),
- εk—the fixed effect of the thermal processing (k = 1, 2),
- (δαε)jik–interaction (stunning method × genotype × thermal processing),
- b—the partial linear regression coefficient,
- wijk—the body weight at slaughter,
- eijkl—the random error.
3. Results
3.1. Meat Performance of the Analysed Rabbit Crossbreds
3.2. Stress Biomarkers—Metabolic Blood Parameters and Hormones
3.3. Meat pH
3.4. Meat Colour
3.5. Water Fraction and the Capacity to Hold Residual Water
3.6. Texture Measurement
3.7. Chemical Composition
4. Discussion
5. Conclusions
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
References
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Mechanical (n = 20) | Electrical (n = 20) | ||
---|---|---|---|
Genotype I (G I) n = 10 | Genotype II (G II) n = 10 | Genotype I (G I) n = 10 | Genotype II (G II) n = 10 |
Hyplus PS19 × Hycole | (Jordan × Hycole) × Hyla | Hyplus PS19 × Hycole | (Jordan × Hycole) × Hyla |
Trait | Genotype | Effect (p-Value) | |||
---|---|---|---|---|---|
I | II | SEM | Genotype | Body Weight | |
Body weight at slaughter (kg) | 2.65 | 2.91 | 0.06 | 0.003 | |
Hot carcass dressing percentage (%) | 48.53 | 50.43 | 0.61 | 0.029 | <0.0001 |
Cold carcass dressing percentage (%) | 46.28 | 48.08 | 0.59 | 0.033 | <0.0001 |
Hot carcass weight (kg) | 1.35 | 1.40 | 0.02 | 0.042 | 0.456 |
Cold carcass weight (kg) | 1.29 | 1.34 | 0.02 | 0.048 | 0.412 |
Stress Biomarker | Mechanical | Electrical | Effect (p-Value) | |||||
---|---|---|---|---|---|---|---|---|
G I | G II | G I | G II | SEM | Stunning Methods | Genotype | Body Weight | |
Insulin (µU/mL) | 18.03 | 20.17 | 28.29 | 19.97 | 4.91 | 0.914 | 0.165 | 0.563 |
Cortisol (nmol/L) | 20.71 | 17.15 | 19.48 | 20.55 | 2.25 | 0.642 | 0.626 | 0.430 |
Glucose (mg/dL) | 131.9 | 123.7 | 138.6 | 129.2 | 5.8 | 0.131 | 0.047 | 0.232 |
Cholesterol (mg/dL) | 88.18 | 84.19 | 83.41 | 95.75 | 4.36 | 0.448 | 0.393 | 0.648 |
Triglycerides (mg/dL) | 75.27 | 81.49 | 77.39 | 81.34 | 3.65 | 0.787 | 0.209 | 0.992 |
NEFA (mmol/L) | 0.40 | 0.54 | 0.43 | 0.51 | 0.04 | 0.881 | 0.016 | 0.010 |
Protein (g/dL) | 6.67 | 6.64 | 6.74 | 6.80 | 0.09 | 0.198 | 0.928 | 0.753 |
Trait | Time Post-Mortem | Mechanical | Electrical | Effect (p-Value) | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
G I | G II | G I | G II | SEM | Stunning Methods | Genotype | Time Post-Mortem | Muscle | Body Weight | |||||||
LTL | BF | LTL | BF | LTL | BF | LTL | BF | |||||||||
pH | 45 min | I | 6.67 | 6.65 | 6.64 | 6.63 | 6.85 | 6.72 | 6.86 | 6.79 | 0.05 | 0.735 | 0.797 | 0.001 | 0.183 | 0.159 |
24 h | II | 5.75 | 5.81 | 5.71 | 5.88 | 5.73 | 5.86 | 5.74 | 5.82 | 0.05 | ||||||
48 h | III | 5.78 | 5.82 | 5.70 | 5.81 | 5.71 | 5.84 | 5.76 | 5.81 | 0.05 | ||||||
L* | 45 min | I | 56.5 | 57.2 | 54.1 | 55.2 | 56.3 | 56.9 | 53.8 | 54.9 | 0.7 | 0.035 | 0.970 | 0.049 | 0.504 | 0.405 |
24 h | II | 58.1 | 58.5 | 55.5 | 57.1 | 57.3 | 58.7 | 56.3 | 58.2 | 0.7 | ||||||
48 h | III | 59.9 | 58.9 | 58.8 | 57.8 | 59.9 | 60.2 | 56.9 | 59.1 | 0.7 | ||||||
a* | 45 min | I | 1.38 | 1.13 | 1.69 | 1.32 | 0.59 | 0.78 | 1.65 | 1.14 | 0.31 | 0.527 | 0.539 | 0.312 | 0.492 | 0.332 |
24 h | II | 0.81 | 1.36 | 0.12 | 0.76 | 0.79 | 0.91 | 0.56 | 0.82 | 0.31 | ||||||
48 h | III | 0.74 | 0.84 | 0.98 | 0.85 | 0.65 | 0.96 | 1.05 | 1.15 | 0.31 | ||||||
b* | 45 min | I | 6.87 | 5.01 | 5.71 | 7.42 | 6.71 | 5.17 | 7.31 | 4.74 | 0.73 | 0.196 | 0.399 | 0.014 | 0.831 | 0.189 |
24 h | II | 5.84 | 6.73 | 4.69 | 7.21 | 6.16 | 5.58 | 7.08 | 5.72 | 0.73 | ||||||
48 h | III | 5.35 | 5.28 | 5.75 | 6.24 | 4.02 | 5.46 | 4.06 | 5.50 | 0.73 |
Trait | Mechanical | Electrical | Effect (p-Value) | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
G I | G II | G I | G II | SEM | Stunning Methods | Genotype | Muscle | Body Weight | |||||
LTL | BF | LTL | BF | LTL | BF | LTL | BF | ||||||
Drip loss (%) | 1.77 | 1.95 | 2.15 | 2.32 | 0.07 | <0.0001 | 0.014 | 0.256 | |||||
Total water (%) | 75.9 | 76.4 | 75.9 | 76.5 | 75.9 | 76.4 | 75.9 | 76.5 | 0.2 | 0.986 | 0.791 | <0.0001 | 0.186 |
Free water (%) | 28.6 | 31.1 | 29.2 | 31.6 | 29.9 | 32.4 | 30.3 | 32.3 | 1.2 | 0.199 | 0.724 | 0.004 | 0.889 |
Free water share in total water (%) | 37.7 | 40.7 | 38.4 | 41.4 | 39.5 | 42.4 | 39.8 | 42.2 | 1.5 | 0.188 | 0.734 | 0.007 | 0.916 |
Cooking loss (%) | 22.1 | 24.2 | 22.3 | 22.9 | 0.6 | 0.366 | 0.061 | 0.348 | |||||
Plasticity (cm2) | 4.03 | 4.43 | 4.28 | 4.35 | 3.74 | 3.65 | 3.78 | 3.70 | 0.3 | 0.043 | 0.816 | 0.652 | 0.695 |
Trait | Mechanical | Electrical | Effect (p-Value) | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
G I | G II | G I | G II | SEM | Stunning Methods | Genotype | Thermal Processing | Body Weight | |||||
Raw | Cooked | Raw | Cooked | Raw | Cooked | Raw | Cooked | ||||||
WB-O (N) | 6.8 | 13.5 | 8.0 | 13.9 | 7.7 | 12.2 | 7.5 | 16.5 | 1.1 | 0.638 | 0.103 | <0.0001 | 0.126 |
WB-P (N) | 8.5 | 15.8 | 9.5 | 15.9 | 10.3 | 13.6 | 9.2 | 16.5 | 0.9 | 0.947 | 0.318 | <0.0001 | 0.206 |
WB-E (N*mm) | 3024 | 4891 | 3413 | 4940 | 3866 | 4813 | 3351 | 5489 | 282 | 0.163 | 0.517 | <0.0001 | 0.183 |
V-O (N) | 21.4 | 19.7 | 21.3 | 24.1 | 1.8 | 0.332 | 0.810 | 0.679 | |||||
V-P (N) | 21.6 | 19.9 | 21.5 | 24.4 | 1.9 | 0.324 | 0.795 | 0.656 |
Trait | Mechanical | Electrical | Effect (p-Value) | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
G I | G II | G I | G II | SEM | Stunning Methods | Genotype | Muscle | Body Weight | |||||
LTL | BF | LTL | BF | LTL | BF | LTL | BF | ||||||
DM (%) | 24.10 | 23.56 | 24.08 | 23.53 | 24.13 | 23.55 | 24.06 | 23.53 | 0.18 | 0.988 | 0.824 | <0.0001 | 0.128 |
CP (%) | 22.48 | 21.59 | 22.29 | 21.86 | 22.44 | 21.58 | 22.30 | 21.86 | 0.19 | 0.918 | 0.678 | <0.0001 | 0.104 |
EF (%) | 0.56 | 0.99 | 0.72 | 1.15 | 0.56 | 1.00 | 0.72 | 1.16 | 0.09 | 0.999 | 0.044 | <0.0001 | 0.445 |
W/CP | 3.38 | 3.54 | 3.41 | 3.50 | 3.38 | 3.54 | 3.41 | 3.50 | 0.04 | 0.987 | 0.735 | 0.269 |
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Składanowska-Baryza, J.; Ludwiczak, A.; Pruszyńska-Oszmałek, E.; Kołodziejski, P.; Stanisz, M. Effect of Two Different Stunning Methods on the Quality Traits of Rabbit Meat. Animals 2020, 10, 700. https://doi.org/10.3390/ani10040700
Składanowska-Baryza J, Ludwiczak A, Pruszyńska-Oszmałek E, Kołodziejski P, Stanisz M. Effect of Two Different Stunning Methods on the Quality Traits of Rabbit Meat. Animals. 2020; 10(4):700. https://doi.org/10.3390/ani10040700
Chicago/Turabian StyleSkładanowska-Baryza, Joanna, Agnieszka Ludwiczak, Ewa Pruszyńska-Oszmałek, Paweł Kołodziejski, and Marek Stanisz. 2020. "Effect of Two Different Stunning Methods on the Quality Traits of Rabbit Meat" Animals 10, no. 4: 700. https://doi.org/10.3390/ani10040700
APA StyleSkładanowska-Baryza, J., Ludwiczak, A., Pruszyńska-Oszmałek, E., Kołodziejski, P., & Stanisz, M. (2020). Effect of Two Different Stunning Methods on the Quality Traits of Rabbit Meat. Animals, 10(4), 700. https://doi.org/10.3390/ani10040700