Effect of castration and slaughter age on performance, carcass, and meat quality traits of Holstein calves fed a high-concentrate diet1

2013 ◽  
Vol 91 (3) ◽  
pp. 1129-1140 ◽  
Author(s):  
S. Marti ◽  
C. E. Realini ◽  
A. Bach ◽  
M. Pérez-Juan ◽  
M. Devant
Keyword(s):  
Meat Quality ◽  
Quality Traits ◽  
Meat Quality Traits ◽  
Slaughter Age ◽  
Holstein Calves

scholarly journals Effects of Slaughter Age on Muscle Characteristics and Meat Quality Traits of Da-Heng Meat Type Birds

Animals ◽  
2019 ◽  
Vol 10 (1) ◽  
pp. 69 ◽  
Author(s):  
Jingjing Li ◽  
Chaowu Yang ◽  
Han Peng ◽  
Huadong Yin ◽  
Yan Wang ◽  
...  
Keyword(s):  
Meat Quality ◽  
Breast Muscle ◽  
Muscle Performance ◽  
Chicken Breast ◽  
Drip Loss ◽  
Quality Traits ◽  
Meat Quality Traits ◽  
Age Related ◽  
Slaughter Age ◽  
Meat Type

Due to the increasing demand for producing chickens with high meat quality, there is a need to determine its mode of action on chicken meat quality traits across a wider age spectrum. In this study, five groups of 200 male Da-Heng meat type birds were reared until slaughter age of 60, 90, 120, 150, 180 days old and breast muscle performance, meat quality traits, and myofiber characteristics were evaluated. The larger body weight and breast weight of chicken are based on larger myofiber diameter and area, less myofiber density for the older birds than younger birds. There was an age effect on all meat quality traits of chicken breast muscle (p < 0.05). Older chickens often presented a higher pH, lower drip loss, higher shear force, darker, and redder breast meat. The correlation coefficients showed that myofiber characteristics played an important role in breast pH values, drip loss, and meat color (p < 0.05). Besides, significant correlations were also found between meat quality traits (p < 0.05). Further studies are needed to explore the biochemical character and potential molecular mechanism of chicken breast muscle to determine the factors that causes these age-related differences in meat quality in the current study.

scholarly journals Carcass and meat quality traits of Saanen goat kids reared under natural and artificial systems and slaughtered at different ages

2018 ◽  
Vol 87 (3) ◽  
pp. 293-300 ◽  
Author(s):  
Hulya Yalcintan ◽  
Pembe Dilara Akin ◽  
Nursen Ozturk ◽  
Bulent Ekiz ◽  
Omur Kocak ◽  
...  
Keyword(s):  
Body Weight ◽  
Meat Quality ◽  
Average Daily Gain ◽  
Carcass Weight ◽  
Quality Traits ◽  
Saanen Goat ◽  
Slaughter Weight ◽  
Meat Quality Traits ◽  
Slaughter Age ◽  
Daily Gain

Production of high-quality carcass and meat from goat kids may contribute to an increase in goat farming profitability. The aim was to compare carcass and meat quality traits of Saanen goat kids raised under natural (NR) and artificial (AR) rearing systems and slaughtered at 80 days and 120 days of age. The AR kids were separated from their dams immediately after birth and were fed with a commercial milk replacer, while the NR kids suckled their mothers. The rearing type did not affect the average daily gain, slaughter weight, hot carcass weight, empty body weight, commercial dressing percentage, subjective conformation and fatness scores. In parallel with the increase in slaughter age, the slaughter weight, hot carcass weight, empty body weight and subjective carcass conformation score increased. The rearing type had no effect on instrumental meat quality traits, except for meat Lightness (L*) and Hue values. Meat from NR kids had higher L* and Hue values 1 h and 24 h after cutting than those of AR kids. Warner-Bratzler shear force value increased with the slaughter age, but the meat lightness decreased. The ultimate pH was generally high in all groups, ranging between 5.94 and 6.10. The panellists evaluated the meat from NR kids to be more tender and juicy and also gave the highest tenderness scores to the meat obtained from the kids slaughtered at 80 days of age. As a conclusion, the slaughter age may be more determinant than the rearing type in the occurrence of carcass and meat quality characteristics.

Association analysis between CMYA5 gene and meat quality traits in Hunan black pig

2013 ◽  
Vol 38 (1) ◽  
pp. 64-68
Author(s):  
Ji ZHU ◽  
Jian LIU ◽  
Jian-bang SUN ◽  
Shi-liu YANG ◽  
Jing-ru LI ◽  
...  
Keyword(s):  
Meat Quality ◽  
Association Analysis ◽  
Quality Traits ◽  
Meat Quality Traits ◽  
I Gene

scholarly journals Prediction of meat quality traits in the abattoir using portable near-infrared spectrometers: heritability of predicted traits and genetic correlations with laboratory-measured traits

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Simone Savoia ◽  
Andrea Albera ◽  
Alberto Brugiapaglia ◽  
Liliana Di Stasio ◽  
Alessio Cecchinato ◽  
...  
Keyword(s):  
Meat Quality ◽  
Near Infrared ◽  
External Validation ◽  
Genetic Correlations ◽  
Genetic Selection ◽  
Quality Traits ◽  
Eye Muscle ◽  
Meat Quality Traits ◽  
Color Traits ◽  
Selection Of

Abstract Background The possibility of assessing meat quality traits over the meat chain is strongly limited, especially in the context of selective breeding which requires a large number of phenotypes. The main objective of this study was to investigate the suitability of portable infrared spectrometers for phenotyping beef cattle aiming to genetically improving the quality of their meat. Meat quality traits (pH, color, water holding capacity, tenderness) were appraised on rib eye muscle samples of 1,327 Piemontese young bulls using traditional (i.e., reference/gold standard) laboratory analyses; the same traits were also predicted from spectra acquired at the abattoir on the intact muscle surface of the same animals 1 d after slaughtering. Genetic parameters were estimated for both laboratory measures of meat quality traits and their spectra-based predictions. Results The prediction performances of the calibration equations, assessed through external validation, were satisfactory for color traits (R2 from 0.52 to 0.80), low for pH and purge losses (R2 around 0.30), and very poor for cooking losses and tenderness (R2 below 0.20). Except for lightness and purge losses, the heritability estimates of most of the predicted traits were lower than those of the measured traits while the genetic correlations between measured and predicted traits were high (average value 0.81). Conclusions Results showed that NIRS predictions of color traits, pH, and purge losses could be used as indicator traits for the indirect genetic selection of the reference quality phenotypes. Results for cooking losses were less effective, while the NIR predictions of tenderness were affected by a relatively high uncertainty of estimate. Overall, genetic selection of some meat quality traits, whose direct phenotyping is difficult, can benefit of the application of infrared spectrometers technology.

scholarly journals Phenotypic and genetic variation of ultraviolet–visible-infrared spectral wavelengths of bovine meat

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Giovanni Bittante ◽  
Simone Savoia ◽  
Alessio Cecchinato ◽  
Sara Pegolo ◽  
Andrea Albera
Keyword(s):  
Meat Quality ◽  
Genetic Improvement ◽  
Near Infrared ◽  
Infrared Region ◽  
Phenotypic Variance ◽  
Quality Traits ◽  
Meat Quality Traits ◽  
Infrared Spectral ◽  
Portable Spectrometers ◽  
Absorbance Spectra

AbstractSpectroscopic predictions can be used for the genetic improvement of meat quality traits in cattle. No information is however available on the genetics of meat absorbance spectra. This research investigated the phenotypic variation and the heritability of meat absorbance spectra at individual wavelengths in the ultraviolet–visible and near-infrared region (UV–Vis-NIR) obtained with portable spectrometers. Five spectra per instrument were taken on the ribeye surface of 1185 Piemontese young bulls from 93 farms (13,182 Herd-Book pedigree relatives). Linear animal model analyses of 1481 single-wavelengths from UV–Vis-NIRS and 125 from Micro-NIRS were carried out separately. In the overlapping regions, the proportions of phenotypic variance explained by batch/date of slaughter (14 ± 6% and 17 ± 7%,), rearing farm (6 ± 2% and 5 ± 3%), and the residual variances (72 ± 10% and 72 ± 5%) were similar for the UV–Vis-NIRS and Micro-NIRS, but additive genetics (7 ± 2% and 4 ± 2%) and heritability (8.3 ± 2.3% vs 5.1 ± 0.6%) were greater with the Micro-NIRS. Heritability was much greater for the visible fraction (25.2 ± 11.4%), especially the violet, blue and green colors, than for the NIR fraction (5.0 ± 8.0%). These results allow a better understanding of the possibility of using the absorbance of visible and infrared wavelengths correlated with meat quality traits for the genetic improvement in beef cattle.

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