Predicting lean meat yield in beef cattle using ultrasonic muscle depth and width measurements

2003 ◽  
Vol 83 (3) ◽  
pp. 429-434 ◽  
Author(s):  
R. Bergen ◽  
D. H. Crews ◽  
Jr., S. P. Miller ◽  
J. J. McKinnon
Keyword(s):  
Beef Cattle ◽  
Carcass Composition ◽  
Ultrasound Measurement ◽  
Independent Data ◽  
Data Set ◽  
Meat Yield ◽  
Lean Meat ◽  
Ultrasound Measurements ◽  
Width Measurements ◽  
Highly Correlated

The value of live ultrasound longissimus dorsi depth and width measurements as predictors of estimated carcass lean meat yield of steers (CARLEAN-S) and bulls (CARLEAN-B) was studied. In trial 1, equations were developed to predict estimated lean meat yield of steers (n = 116) from carcass weight (Eq. 1) or liveweight (Eq. 2), fat depth and l. dorsi area or liveweight, fat depth and l. dorsi depth × width (Eq. 3). Equation 1 was most precise (RSD = 25.6 g kg-1), followed by Eq. 2 (RSD = 27.8g kg-1) and Eq. 3 (RSD = 30.2g kg-1). Equations 2 and 3 predicted CARLEAN-S with similar accuracy (SEP = 23.8 vs. 24.9 g kg-1, respectively) and were highly correlated with each other (r = 0.89) in an independent data set (n = 118). Repeatability and accuracy of pre-slaughter l. dorsi depth and width measurements were studied in yearling bulls (trial 2; n = 191). When ultrasound measurements were expressed as a percentage of the average ultrasound measurement, repeatabilities of l. dorsi depth (SER = 6.2 to 7.8%) and width (SER = 4.2 to 6.1%) measurements were similar to fat depth and l. dorsi area measurements (SER = 17.9 and 4.5%, respectively). When ultrasound measurements were compared to the corresponding carcass measurements, l. dorsi depth (SEP = 10.3 to 13.9%) and width (SEP = 6.7 to 8.5%) measurements were as accurate as fat depth and l. dorsi area measurements (SEP = 32.9 and 8.4%, respectively). Equations were developed to predict CARLEAN-B of yearling bulls (n = 82) from liveweight, 12th rib ultrasound fat depth and either l. dorsi depth × width measurements (Eqs. 4 and 5) or two l. dorsi depth measurements (Eq. 6). All equations had similar precision (RSD = 19.4 to 19.5 g kg-1) and predicted CARLEAN-B similarly (SEP = 25.0, 24.6 and 26.1g kg-1 for Eqs. 4, 5 and 6, respectively) in an independent data set (n = 109). All equations were highly correlated (r ≥0.97) with an equation using ultrasound fat depth and l. dorsi area in the independent data set. Longissimus muscle depth and width measurements were as valuable as l. dorsi area for predicting carcass composition of yearling beef bulls in the present study. Key words: Ultrasound, beef cattle, carcass traits

Estimation of genetic and phenotypic parameters for ultrasound and carcass merit traits in crossbred beef cattle

2014 ◽  
Vol 94 (2) ◽  
pp. 273-280 ◽  
Author(s):  
Y. Miar ◽  
G. S. Plastow ◽  
H. L. Bruce ◽  
S. S. Moore ◽  
O. N. Durunna ◽  
...  
Keyword(s):  
Beef Cattle ◽  
Genetic Correlations ◽  
Backfat Thickness ◽  
Carcass Quality ◽  
Breeding Programs ◽  
Meat Yield ◽  
Lean Meat ◽  
Phenotypic Correlations ◽  
Ribeye Area ◽  
Carcass Merit

Miar, Y., Plastow, G. S., Bruce, H. L., Moore, S. S., Durunna, O. N., Nkrumah, J. D. and Wang, Z. 2014. Estimation of genetic and phenotypic parameters for ultrasound and carcass merit traits in crossbred beef cattle. Can. J. Anim. Sci. 94: 273–280. Ultrasound measurements of 852 crossbred steers along with carcass merit measurements on 756 of them were used to examine their genetic and phenotypic parameters. Traits including ultrasound backfat thickness (UBF), ultrasound ribeye area (UREA), ultrasound marbling (UMAR), carcass weight (CWT), carcass grade fat (CGF), carcass average backfat thickness (CABF), carcass ribeye area (CREA), carcass marbling score (CMAR), and carcass lean meat yield (CLMY) were measured on 6 yr of residual feed intake trials from 2003 to 2008. Pairwise bivariate animal models were performed for each combination of traits using ASReml software to estimate heritability, phenotypic and genetic correlations among the traits. Significant fixed effects (contemporary group, and sire breed), covariates (age of dam, slaughter weight, and start test age of animal), and random additive effect were fitted in the models. The heritability estimates for UBF, UREA, UMAR, CWT, CGF, CABF, CREA, CMAR, and CLMY were 0.31, 0.17, 0.37, 0.40, 0.22, 0.25, 0.24, 0.38, and 0.28, respectively. Most of the phenotypic correlations were significant (P<0.05). CWT had low to moderate phenotypic correlations with most of the traits. Results show that heavier CWT tends to have more UREA, CGF, CABF, and CREA. Genetic correlations among these traits varied from weak to strong, but most of them were not significantly different from zero. Greater CREA may lead to decreased UMAR, and UBF due to negative genetic correlations (−0.56±0.32, and −0.45±0.23, respectively). The results support the potential value of ultrasound technology in crossbreed beef cattle breeding programs to generate indicator traits for carcass quality. In addition, carcass lean meat yield correlated favourably with backfat thickness and rib eye area but correlated unfavourably with UMAR. The estimated genetic parameters for ultrasound and carcass merit traits can be incorporated into breeding programs that emphasize carcass quality in Canadian crossbred beef cattle populations.

Use of live ultrasound, weight and linear measurements to predict carcass composition of young beef bulls

2005 ◽  
Vol 85 (1) ◽  
pp. 23-35 ◽  
Author(s):  
R. Bergen ◽  
S. P. Miller ◽  
I. B. Mandell ◽  
W. M. Robertson
Keyword(s):  
Prediction Models ◽  
Carcass Composition ◽  
Muscle Size ◽  
Yield Prediction ◽  
Longissimus Muscle ◽  
Marbling Score ◽  
Meat Yield ◽  
Lean Meat ◽  
Short Probe ◽  
Beef Bulls

Pre-slaughter ultrasound and whole side dissection data from 47 crossbred bulls were used to assess (1) the relative value of six previously published equations based on live animal measurements, (2) the value of alternative pre-slaughter measurements, and (3) the value of alternative ultrasound probes as predictors of whole side lean meat yield. Analysis of absolute bias-corrected residuals indicated that all six previously published equations predicted whole side lean meat yield with similar accuracy (P = 0.62), but analysis of absolute rank residuals indicated that an equation originally based on carcass measurements tended (P = 0.17) to rank bulls less precisely than five ultrasound-based equations. Breed composition, age, liveweight, hip width, heart girth, and round muscle depths did not contribute to new lean meat yield prediction equations (P > 0.10), but height, 12th/13th rib body wall, rump fat, and gluteus medius muscle depths and marbling score did (P < 0.10). However, examination of absolute residuals and absolute rank residuals indicated that accuracy (P = 0.55) and precision (P = 0.64) did not improve significantly compared to equations based only on height, rib fat and longissimus muscle size. Similarly, analysis of absolute residuals and absolute rank residuals indicated that fat and longissimus muscle depth measurements collected with a short probe predicted whole side lean meat yield as accurately and precisely as measurements collected with a long probe. Results indicated that (1) equations based on live measurements may provide more precise predictions of lean meat yield than equations derived from carcass measurements, (2) supplementing ultrasonic rib fat and longissimus muscle measurements with additional ultrasound measurements did not improve the accuracy or precision of lean meat yield prediction, and (3) lean meat yield of yearling bulls can be accurately predicted using fat and longissimus muscle depth measurements collected with a short probe. Key words: Ultrasound, beef bulls, carcass composition, prediction models

scholarly journals Effect of MSTN Mutation on Growth and Carcass Performance in Duroc × Meishan Hybrid Population

Animals ◽  
2020 ◽  
Vol 10 (6) ◽  
pp. 932
Author(s):  
Weijian Li ◽  
Rongyang Li ◽  
Yinghui Wei ◽  
Xueqing Meng ◽  
Binbin Wang ◽  
...  
Keyword(s):  
Average Daily Gain ◽  
Carcass Composition ◽  
Hybrid Population ◽  
Market Demand ◽  
Muscle Area ◽  
Meat Yield ◽  
Female Ratio ◽  
Lean Meat ◽  
Carcass Performance ◽  
Crossbred Pigs

The Meishan pig is a traditional Chinese native breed, known for its excellent reproduction performance that is widely used in commercial pig production through two-way or three-way crossbreeding systems. However, the lean meat yield of Meishan crossbred pigs is still very low and cannot meet the market demand. To evaluate the lean meat yield of Meishan crossbred pigs, six wild-type Meishan sows were artificially inseminated by using the MSTN+/− Duroc boar semen in this experiment. Some reproductive performance-related traits of Meishan sows were recorded to ensure that semen from MSTN knockout Duroc boar did not affect offspring production, including total births, live births, sex, and litter weight. In total, 73 piglets were obtained and 63 were alive. Male to female ratio was close to 1: 1. because of factors such as disease, only 43 pigs were utilized, including 28 MSTN mutant pigs (MSTN+/−) and 15 MSTN homozygous pigs (MSTN+/+). We compared the growth performance and carcass performance of these full or half-sib populations and found that there were no differences between MSTN+/− and MSTN+/+ genotypes for live animal measures including average daily gain (ADG), body dimensions, or ultrasonic measurement of fat thickness when pigs were harvested after 120 days of feeding. Conversely, the MSTN+/− pigs had higher dressing percentage and lean meat percentage, lower level of carcass fat, larger longissimus muscle area, less percentage of skin and skeleton, thinner average backfat thickness, and lower intramuscular fat (IMF) content than MSTN+/+ pigs. In conclusion, the production of MSTN+/− mutant progeny from Meishan females resulted in improved carcass composition, providing a feasible solution to improve the lean meat yield of Chinese local fat-type pig breeds.

Understanding the impact of sire lean meat yield breeding value on carcass composition, meat quality, nutrient and mineral content of Australian lamb

Meat Science ◽  
2020 ◽  
Vol 170 ◽  
pp. 108236
Author(s):  
Matthew I. Knight ◽  
Kym L. Butler ◽  
Nick P. Linden ◽  
Viv F. Burnett ◽  
Alex J. Ball ◽  
...  
Keyword(s):  
Meat Quality ◽  
Mineral Content ◽  
Carcass Composition ◽  
Breeding Value ◽  
Meat Yield ◽  
Lean Meat ◽  
The Impact

Using Australian Sheep Breeding Values to increase lean meat yield percentage

2010 ◽  
Vol 50 (12) ◽  
pp. 1098 ◽  
Author(s):  
G. E. Gardner ◽  
A. Williams ◽  
J. Siddell ◽  
A. J. Ball ◽  
S. Mortimer ◽  
...  
Keyword(s):  
Carcass Composition ◽  
Production Traits ◽  
Eye Muscle ◽  
Meat Yield ◽  
Sheep Breeding ◽  
Breeding Values ◽  
Lean Meat ◽  
Target Weight ◽  
Australian Sheep ◽  
The Impact

This study describes the impact of Australian Sheep Breeding Values (ASBV) for post-weaning weight (PWWT), C-site fatness (PFAT) and eye muscle depth (PEMD) on lamb carcasses within the Australian Sheep Industry CRC Information Nucleus Flock. These results are taken from the 2007 drop progeny, consisting of ~2000 lambs slaughtered at a target weight of 21.5 kg. These lambs were the progeny of sires selected to ensure genetic diversity across various production traits. As expected, the PWWT ASBV increased weight at slaughter, and hot standard carcass weight. Dressing percentage was markedly improved by increasing PEMD ASBV, thus prime lamb producers will be maintaining an animal of similar weight on farm, but delivering a markedly larger carcass at slaughter. Lean meat yield % (LMY%) was highest in the progeny of sires with low PFAT ASBV, which decreased whole carcass fatness and increased muscularity. PWWT ASBV affected carcass composition but had little impact on LMY%, as the decreased fatness was largely offset by increased bone, with relatively little change in muscle content. Lastly, PEMD ASBV had little impact on whole carcass LMY%, but did appear to cause some level of muscle redistribution to the higher value loin cuts, in turn increasing the value of the carcass lean.

Prediction of carcass composition, ham and foreleg weights, and lean meat yields of Iberian pigs using ultrasound measurements in live animals1

2013 ◽  
Vol 91 (4) ◽  
pp. 1884-1892 ◽  
Author(s):  
D. Ayuso ◽  
A. González ◽  
F. Hernández ◽  
J. M. Corral ◽  
M. Izquierdo
Keyword(s):  
Carcass Composition ◽  
Lean Meat ◽  
Ultrasound Measurements

Use of ultrasound in prediction of carcass characteristics in lambs

1995 ◽  
Vol 75 (2) ◽  
pp. 185-189 ◽  
Author(s):  
K. Stanford ◽  
I. Clark ◽  
S. D. M. Jones
Keyword(s):  
Stepwise Regression ◽  
Subcutaneous Fat ◽  
Lumbar Vertebra ◽  
Stepwise Discriminant Analysis ◽  
Regression Equations ◽  
Muscle Area ◽  
Maximum Width ◽  
Meat Yield ◽  
Lean Meat ◽  
Ultrasound Measurements

Longissimus muscle area, maximum depth and maximum width and subcutaneous fat thickness were measured ultrasonically at the first lumbar vertebra on 1162 lambs. Lambs were rams, ewes and wethers, ranging in age from 3 to 15 mo, with liveweights ranging from 32.5 to 70.2 kg. Subjective conformation scores of the leg, loin and shoulder and body-wall thickness at the GR site (11 cm from the carcass midline between the 12th and 13th ribs) were measured on warm carcasses and were used to determine lean-meat yield. Saleable-meat yield and percentage of saleable-meat yield in each of the primal cuts were also determined by carcass dissection of 57 of the lambs. Stepwise regression equations predicting GR and lean-meat yield from ultrasound measurements, age, (age)2, liveweight and (liveweight)2 had an R2 of 0.49 and 0.47, respectively (P < 0.15). Stepwise regression predicting saleable-meat yield by carcass dissection from ultrasound measurements, age, (age)2, liveweight and (liveweight)2 had an R2 of 0.64, with subcutaneous fat as the only significant regressor (P < 0.001). Stepwise discriminant analysis used to predict leg, loin and shoulder conformation scores from ultrasound measures, liveweight, (liveweight)2, (age)2 and age had R2 values of 0.27, 0.18 and 0.24, respectively (P < 0.15). From these data, ultrasound measurements of subcutaneous fat and longissimus depth in combination with liveweight and age appear to be valuable predictors of saleable-meat yield as determined by carcass dissection, GR and lean-meat yield but appear to be less useful in prediction of subjective muscling scores, except in the case of small-frame lambs. Key words: Ultrasound, lamb, carcass, meat yield

Endocannabinoid concentrations in plasma during the finishing period are associated with feed efficiency and carcass composition of beef cattle

2017 ◽  
Vol 0 (0) ◽  
pp. 0
Author(s):  
V. M. Artegoitia ◽  
A. P. Foote ◽  
R. G. Tait ◽  
L. A. Kuehn ◽  
R. M. Lewis ◽  
...  
Keyword(s):  
Beef Cattle ◽  
Feed Efficiency ◽  
Carcass Composition

Exploring fake news identification using word and sentence embeddings

2021 ◽  
pp. 1-8
Author(s):  
V.T Priyanga ◽  
J.P Sanjanasri ◽  
Vijay Krishna Menon ◽  
E.A Gopalakrishnan ◽  
K.P Soman
Keyword(s):  
Machine Learning ◽  
Social Media ◽  
Network Analysis ◽  
Supervised Machine Learning ◽  
Breeding Ground ◽  
Fake News ◽  
Data Set ◽  
Highly Correlated ◽  
Use Of Social Media ◽  
The Liar

The widespread use of social media like Facebook, Twitter, Whatsapp, etc. has changed the way News is created and published; accessing news has become easy and inexpensive. However, the scale of usage and inability to moderate the content has made social media, a breeding ground for the circulation of fake news. Fake news is deliberately created either to increase the readership or disrupt the order in the society for political and commercial benefits. It is of paramount importance to identify and filter out fake news especially in democratic societies. Most existing methods for detecting fake news involve traditional supervised machine learning which has been quite ineffective. In this paper, we are analyzing word embedding features that can tell apart fake news from true news. We use the LIAR and ISOT data set. We churn out highly correlated news data from the entire data set by using cosine similarity and other such metrices, in order to distinguish their domains based on central topics. We then employ auto-encoders to detect and differentiate between true and fake news while also exploring their separability through network analysis.

scholarly journals Validation of risk adjustment models for in-hospital percutaneous transluminal coronary angioplasty mortality on an independent data set

1999 ◽  
Vol 34 (3) ◽  
pp. 692-697 ◽  
Author(s):  
Mauro Moscucci ◽  
Gerald T O’Connor ◽  
Stephen G Ellis ◽  
David J Malenka ◽  
Jennifer Sievers ◽  
...  
Keyword(s):  
Risk Adjustment ◽  
Coronary Angioplasty ◽  
Percutaneous Transluminal Coronary Angioplasty ◽  
Independent Data ◽  
Data Set ◽  
Transluminal Coronary Angioplasty ◽  
Percutaneous Transluminal
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