274 Comparison of Two Ultrasound Systems for Estimation of Carcass Attributes in Feedlot Steers

2021 ◽  
Vol 99 (Supplement_3) ◽  
pp. 142-143
Author(s):  
Noah P Jesko ◽  
Thomas L Perkins ◽  
Ty E Lawrence ◽  
John Richeson ◽  
Charles Looney
Keyword(s):  
Ultrasound Images ◽  
Marbling Score ◽  
The West ◽  
Live Animal ◽  
West Texas ◽  
Feedlot Steers ◽  
A Value ◽  
Animal Data ◽  
Ribeye Area ◽  
Highly Correlated

Abstract Sixty-eight (68) crossbred steers were evaluated using two real-time, B-mode ultrasound units to estimate final carcass attributes. The cattle were ultrasounded at the West Texas A&M research feedlot (Canyon, Texas) and carcass data was collected at the West Texas A&M Meats Laboratory (Canyon, Texas) or Tyson Fresh Meats (Amarillo, Texas). Objectives of the study were 1) to compare ultrasound live animal data to carcass attributes at harvest 2) to evaluate the performance differences between the ALOKA 500 (ALK) and the EVO ultrasound units All ultrasound images were captured by the same Ultrasound Guidelines Council (UGC) certified technician with images being processed at the UltraInsights Laboratory (Pierce, Colorado). The correlations between 12th rib fat thickness of the carcass (FTC) and ultrasound (FTU) were 0.84 for the ALK and 0.85 for the EVO, with no differences being found between the two units (P = 0.15). Correlations between the 12-13th rib carcass ribeye area (REAC) and ultrasound ribeye area (REAU) were 0.69 for the ALK and 0.66 for the EVO. There was no difference in REAU size between the two units. Carcass marbling score (MS) and ultrasound intramuscular fat (IMFU) correlations were 0.78 for the ALK and 0.84 for the EVO. The IMF data were found to be different between the two units, with the EVO measuring a mean IMFU value of 6.03 and the ALK a value of 5.26 with the change of 0.77 being different (P < 0.01). It is concluded that both ultrasound units performed favorably when predicting FTC and marbling score but were not highly correlated for REAU. It was found that the predictions between the two units on FT and REA were the same, though the EVO was higher on both. The IMFU values between the ALK and EVO were different, with the EVO again predicting higher values.

PSIII-8 Sire breed differences for carcass attributes in feedlot steers using ultrasound technology

2021 ◽  
Vol 99 (Supplement_3) ◽  
pp. 291-291
Author(s):  
Harley Buie ◽  
Noah P Jesko
Keyword(s):  
Pearson Correlation ◽  
Marbling Score ◽  
Live Animal ◽  
Feedlot Steers ◽  
Significant Difference ◽  
Ultrasound Measurements ◽  
Ribeye Area ◽  
Ultrasound Technology ◽  
Fat Thickness ◽  
Sire Breed

Abstract Live animal ultrasound measurements were taken on thirty-two feedlot steers and heifers for estimation of carcass endpoints including 12th rib fat thickness (FTU), ribeye area (REAU) and intramuscular fat (%FatU). Ultrasound measurements were collected by an inexperienced technician using an Aloka 500 ultrasound unit using Beef Image Analysis (BIA) software. The objective of the study was to evaluate carcass differences of four sire breed types including Angus (n = 11), Ultrablack (n = 6), Nelore (n = 6), Braunvieh (n = 1) and Angus X Nelore X Braunvieh hybrid (n = 8). Carcass data collected at harvest included 12th rib fat Thickness (FTC), Ribeye area (REAC), marbling score (MS), Yield Grade (YG), and Quality Grade (QG). The data were analyzed using SAS to determine breed effects. Means for FTU, FTC, REAU, REAC, %FatU and MS were 0.59 cm, 0.57 cm, 90.80 cm2, 83.53 cm2, 4.83%, and 483.75, respectively. There was no significant difference (P > 0.05) in YG and FT due to breed of sire. However, there was a trend for sire breed for ribeye area (P = 0.0728) for Angus X Nelore X Braunvieh cross and MS (P = 0.0786) for Ultrablack. Pearson correlation values between FTU and FTC, REAU and REAC, and %FatU and MS were 0.1217 (P = 0.05068), 0.3545 (P = .0465) and 0.5161 (P = 0.0025), respectively. These data suggest little differences existed in carcass attributes between various sire breeds out of a set of crossbred commercial cows.

A Health Survey of a Colonia Located on the West Texas, US/Mexico Border

2008 ◽  
Vol 12 (3) ◽  
pp. 361-369 ◽  
Author(s):  
Robert L. Anders ◽  
Thomas Olson ◽  
Kris Robinson ◽  
John Wiebe ◽  
Rena DiGregorio ◽  
...  
Keyword(s):  
Health Survey ◽  
The West ◽  
West Texas ◽  
Mexico Border ◽  
Us Mexico Border

The Old Home Place: Farming on the West Texas Frontier

1982 ◽  
Vol 13 (3) ◽  
pp. 338
Author(s):  
Wayne E. Fuller ◽  
David L. Caffey
Keyword(s):  
The West ◽  
West Texas

scholarly journals Reduction of slaughter age of Hanwoo steers by early genotyping based on meat yield index

2020 ◽  
Vol 33 (5) ◽  
pp. 770-777
Author(s):  
Chang Dae Jeong ◽  
Mahfuzul Islam ◽  
Jong-Joo Kim ◽  
Yong-Il Cho ◽  
Sang-Suk Lee
Keyword(s):  
Snp Array ◽  
Carcass Weight ◽  
Related Gene ◽  
Marbling Score ◽  
Meat Yield ◽  
Growing Period ◽  
Slaughter Age ◽  
Snp Array Analysis ◽  
Fat Thickness ◽  
Highly Correlated

Objective: This study was conducted to determine early hereditary endowment to establish a short-term feeding program.Methods: Hanwoo steers (n = 140) were equally distributed into four groups (35/group) based on genetic meat yield index (MYI) viz. the greatest, great, low, and the lowest at Jukam Hanwoo farm, Goheung. All animals were fed in group pens (5 animals/pen) with similar feed depending on the growth stage. Rice straw was provided ad libitum, whereas concentrate was fed at 5.71 kg during the growing period (6 to 13 mo) and 9.4 kg during the fattening period (13 to 28 mo). Body weight (BW) was measured at two-month intervals, whereas carcass weight was determined at slaughtering at about 31 months of age. The Affymetrix Bovine Axiom Array 640K single nucleotide polymorphism (SNP) chip was used to determine the meat quantity-related gene in the blood.Results: After 6 months, the highest (p<0.05) BW was observed in the greatest MYI group (190.77 kg) and the lowest (p<0.05) in the lowest MYI group (173.51 kg). The great MYI group also showed significantly (p<0.05) higher BW than the lowest MYI group. After 16 and 24 months, the greatest MYI group had the highest BW gain (p<0.05) and were therefore slaughtered the earliest. Carcass weight was significantly (p<0.05) higher in the greatest and the great MYI groups followed by the low and the lowest MYI groups. Back-fat thickness in the greatest MYI group was highly correlated to carcass weight and marbling score. The SNP array analysis identified the carcass-weight related gene BTB-01280026 with an additive effect. The steers with the allele increasing carcass weight had heavier slaughter weight of about 12 kg.Conclusion: Genetic MYI is a potential tool for calf selection, which will reduce the slaughter age while simultaneously increasing carcass weight, back-fat thickness, and marbling score.

Quantitative seismicity maps of India

1972 ◽  
Vol 62 (5) ◽  
pp. 1119-1132 ◽  
Author(s):  
K. L. Kaila ◽  
V. K. Gaur ◽  
Hari Narain
Keyword(s):  
Return Period ◽  
West Coast ◽  
Active Zone ◽  
East Coast ◽  
Indian Subcontinent ◽  
B Value ◽  
Tibet Plateau ◽  
The West ◽  
Period Map ◽  
A Value

Abstract Using the Kaila and Narain (1971) method, three quantitative seismicity maps have been prepared for the Indian subcontinent which are compared with regional tectonics. These are the A-value map, the b-value map and the return-period map for earthquakes with magnitude 6 and above where A and b are the constants in the cumulative regression curve represented by log N = A - bM. The A-value seismicity map shows that India can be divided into two broad seismic zones, the northern seismically highly active zone and the southern moderately active zone. In the northern active zone, a number of seismic highs have been delineated such as the Pamir high, the northwest-southeast trending Srinagar-Almora high, the Shillong massif high, the Arakan Yoma high and the West Pakistan highs. These seismic highs are consistent with the Himalayan tectonic trends. Contrary to this, two seismic highs fall in the Tibet plateau region which align transversely to the main Himalayan trend. In the southern moderately active zone, two seismic highs are clearly discernible, the east and the west coast high, the latter being seismically more active than the former. The least active zone encompasses the Vindhyan syncline and the areas of Delhi and Aravalli folding. Between this zone and the east coast high lies another moderately active zone which encloses the Godavari graben, western part of the Mahanadi graben and the Chattisgarh depression. The b-value seismicity map also demarcates the same active zones as are brought out on the A-value map. The return-period map of India for earthquakes with magnitude 6 and above shows a minimum return period of 100 years in the Pamirs, about 130 years in the various seismic highs in the northern active zone, 180 years on the west coast high, 200 years on the east coast high and about 230 years in the least active Vindhyan-Aravalli zone and the Hyderabad-Kurnool area. These quantitative seismicity maps are also compared with the seismic zoning map of Indian Standards Institution and seismicity maps of India prepared by other workers.

scholarly journals Distribution of Available Silicon of Volcanic Ash Soils in Jeju Island

2019 ◽  
Vol 2019 ◽  
pp. 1-10 ◽  
Author(s):  
Won-Pyo Park ◽  
Kwan-Cheol Song ◽  
Bon-Jun Koo ◽  
Hae-Nam Hyun
Keyword(s):  
Volcanic Ash ◽  
Chemical Properties ◽  
Jeju Island ◽  
A Value ◽  
Dissolved Silicon ◽  
Highly Correlated ◽  
Si Content ◽  
Pedogenic Processes ◽  
The Relationship ◽  
And Chemical Properties

In soils, dissolved silicon (Si) is adsorbed onto soil particles or is leached into groundwater through the soil profile. Andisols may play an important role in contributing to high dissolved Si concentrations in groundwater on Jeju Island, Korea. In this study, we evaluated the available Si content that potentially affects groundwater composition and investigated the relationship between the available Si content and chemical properties of volcanic ash soil on Jeju Island. We used the 1 M sodium acetate buffer (pH 4.0) to extract the available Si. Selected chemical properties were determined for 290 topsoil samples collected from different land sites throughout Jeju Island, and we analyzed the available Si content in the typifying pedons of Jeju Island and mainland Korea. The available Si content in Jeju Island topsoils ranged from 75 to 150 mg·kg−1, and the available Si content of Andisols in both orchards and grasslands was significantly higher than that of non-Andisols. The available Si content was highly correlated with the amounts of oxalate extractable Si, Al, and Fe in Andisols and was negatively related to the Alp/Alo ratio. With increasing elevation, we detected a decrease in the available Si and allophane content in Andisols, whereas Al-humus complexes increased with increasing elevation. The ratio of available Si in the lowest subsoil/topsoil increased to a value of 6.0, indicating that large amounts of available Si are present in the subsoil. The available Si content in the lowest subsoil of Andisols on Jeju Island was 10 times higher than that in the typifying pedons of the Korean mainland. In contrast, there were no differences in the available Si content between the topsoil and the subsoil of the typifying pedon series of Jeju and mainland non-Andisols because of differences in pedogenic processes. Collectively, our findings indicate that weathering of Andisols on Jeju Island potentially affects the Si concentration in groundwater.

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