scholarly journals Prediction of lean yield in yearling bulls using real-time ultrasound

1996 ◽  
Vol 76 (3) ◽  
pp. 305-311 ◽  
Author(s):  
R. D. Bergen ◽  
J. J. McKinnon ◽  
D. A. Christensen ◽  
N. Kohle
Keyword(s):  
Key Words ◽  
Real Time ◽  
Multiple Regression ◽  
Carcass Traits ◽  
Performance Testing ◽  
Prediction Equation ◽  
Stepwise Multiple Regression ◽  
Ultrasound Measurements ◽  
Beef Bulls ◽  
Young Breeding

A study was undertaken to determine the repeatability and accuracy of ultrasound measurements taken on yearling bulls and to assess the value of these live measurements to predict lean yield. Ultrasonic fat depth and 1. dorsi area were measured on 616 yearling bulls prior to slaughter. Corresponding carcass measurements were obtained through the Agriculture Canada Blue Tag Program. Carcass side lean (LEANYIELD) was extrapolated from the lean content of the seven-bone rib section from the carcasses of 41 Angus and 41 Charolais bulls. Stepwise multiple regression used live (USFAT and USREA) measurements to predict LEANYIELD. Repeatability (SER) and accuracy (SEP) statistics for USFAT were 0.8 mm and 1.6 mm, respectively. The corresponding results for USREA were SER = 4.3 cm2 and SEP = 7.8 cm2. The ultrasound lean yield (USLEAN) prediction equation was: USLEAN = 599.2 − (9.5 × USFAT) + (1.1 × USREA); R2 = 0.73, RSD = 17.9 g kg−1. Results indicated that LEANYIELD was predicted better by USLEAN (SEP = 18.0 g kg−1) than by BTLEAN (SEP = 22.6 g kg−1). Results from a second group of dissected bulls (n = 110) confirmed that ultrasound can predict LEANYIELD as effectively as carcass measurements (SEP = 22.8 and 22.6 g kg−1 for USLEAN AND BTLEAN) in young breeding bulls in this study. Key words: real-time ultrasound, performance testing, beef bulls, carcass traits

Use of real-time ultrasound to evaluate live animal carcass traits in young performance-tested beef bulls.

1997 ◽  
Vol 75 (9) ◽  
pp. 2300 ◽  
Author(s):  
R D Bergen ◽  
J J McKinnon ◽  
D A Christensen ◽  
N Kohle ◽  
A Belanger
Keyword(s):  
Real Time ◽  
Carcass Traits ◽  
Live Animal ◽  
Beef Bulls

scholarly journals The Accuracy of Real-Time Ultrasound Measurements for Body Composition Traits with Carcass Traits in Feedlot Heifers

2006 ◽  
Author(s):  
Flavio Ribeiro ◽  
Richard G. Tait ◽  
Gene H. Rouse ◽  
Doyle E. Wilson ◽  
W. Darrell Busby
Keyword(s):  
Body Composition ◽  
Real Time ◽  
Carcass Traits ◽  
Ultrasound Measurements

scholarly journals A Study of Developing a Prediction Equation of Electricity Energy Output via Photovoltaic Modules

Energies ◽  
2021 ◽  
Vol 14 (5) ◽  
pp. 1503
Author(s):  
Minsu Kim ◽  
Hongmyeong Kim ◽  
Jae Hak Jung
Keyword(s):  
Experimental Data ◽  
Real Time ◽  
Air Temperature ◽  
Temperature Difference ◽  
Prediction Accuracy ◽  
Prediction Equation ◽  
Energy Output ◽  
Photovoltaic Modules ◽  
Mean Error ◽  
Pv Module

Various equations are being developed and applied to predict photovoltaic (PV) module generation. Currently, quite diverse methods for predicting module generation are available, with most equations showing accuracy with ≤5% error. However, the accuracy can be determined only when the module temperature and the value of irradiation that reaches the module surface are precisely known. The prediction accuracy of outdoor generation is actually extremely low, as the method for predicting outdoor module temperature has extremely low accuracy. The change in module temperature cannot be predicted accurately because of the real-time change of irradiation and air temperature outdoors. Calculations using conventional equations from other studies show a mean error of temperature difference of 4.23 °C. In this study, an equation was developed and verified that can predict the precise module temperature up to 1.64 °C, based on the experimental data obtained after installing an actual outdoor module.

Service quality of property managers of shopping complexes in Ibadan, Nigeria

2019 ◽  
Vol 37 (3) ◽  
pp. 310-326 ◽  
Author(s):  
Samson Oluseun Ojekalu ◽  
Olatoye Ojo ◽  
Timothy Tunde Oladokun ◽  
Sumoila Aremu Olabisi ◽  
Sunday Samuel Omoniyi
Keyword(s):  
Service Quality ◽  
Multiple Regression ◽  
Management Practice ◽  
Sampling Technique ◽  
Primary Data ◽  
Stepwise Multiple Regression ◽  
Systematic Sampling ◽  
Content Type ◽  
Five Axes

PurposeThe purpose of this paper is to assess the service quality (SQ) of property managers of shopping complexes in Ibadan with a view to improving management practice.Design/methodology/approachPrimary data were used for the study through questionnaire administration. Ibadan was stratified into five axes using existing major roads where shopping complexes were highly concentrated. From each axis, 33, 65, 48, 64 and 66 shopping complexes were identified (Oyo State Ministry of Land, Housing and Survey, 2017), and the systematic sampling technique (20 percent) was adopted to select 57 out of 276 shopping complexes and 192 (10 percent) out of 1919 occupiers of the shopping complexes in the study area. In total, 157 occupiers responded to the questionnaire, and the data were analyzed using mean ranking and stepwise multiple regression.FindingsThis study found that professionalism, tangible, assurance and empathy dimensions of SQ were rated fair, whereas reliability and responsiveness dimensions were rated poor. Also, stepwise multiple regression analysis predicted 78.5 percent overall SQ of property managers, and assurance, professionalism and empathy dimensions contributed significantly to the overall SQ. Hence, reliability and responsiveness dimensions of SQ need to be improved. It is expected that the findings of this study will help property managers to understand the role of various dimensions of SQ for enhanced property management practice.Originality/valueThe study is one of the few studies that assessed the SQ of property managers of shopping complex with a view to improving its management practice.

Predicting Adolescent Blood Pressure: Implications for Health Education Practice

1988 ◽  
Vol 9 (3) ◽  
pp. 187-208
Author(s):  
Matthew Adeyanju
Keyword(s):  
Blood Pressure ◽  
Socioeconomic Status ◽  
Health Education ◽  
Multiple Regression ◽  
Alcohol Intake ◽  
Ideal Body Weight ◽  
Skinfold Thickness ◽  
Stepwise Multiple Regression ◽  
Baseline Survey ◽  
Education Practice

The study was set up to potentially determine if a stepwise multiple regression model composed of such factors as sociodemographics, attitudes, and behaviors in combination with selected biomedical measures can be used to predict adolescent at risk health conditions such as hypertension and to examine the implications for health education practice. The study population consisted of 650 ninth grade (14–16-year-old) students in the baseline survey (1981) and 606 twelfth grade students in the final survey of 1985. Data collected included clinical measures of height, weight, triceps skinfold thickness, blood pressure, body mass index (BMI), resting pulse, and percent ideal body weight (PIBW). Self-reported health behaviors, attitudes, and sociodemographic variables were also assessed. Principal factor analysis with varimax rotation was employed to determine the grouping of the behavioral/attitudinal test items. Stepwise multiple regression analysis was used to determine the variables' potentials as predictors of blood pressure in adolescents. Significant potential predictors of male diastolic blood pressure included smoking, alcohol intake habits, obesity, pulse, race, age and parents' socioeconomic status; while predictors for the females focused on smoking, alcohol intake habits, stress, obesity, pulse and race. Potential indicators for male systolic blood pressure were smoking, alcohol habits, weight, height, race, parent's socioeconomic status; while smoking, alcohol habits, stress, obesity, pulse and race for the females. Community health promotion, prevention and educational programs directed at these potential predictors need to be implemented to encourage healthful lifestyles in the younger generation.

A preliminary evaluation of growth and carcass traits in Alpine and Boer goat crosses

1998 ◽  
Vol 78 (2) ◽  
pp. 229-232 ◽  
Author(s):  
L. A. Goonewardene ◽  
P. A. Day ◽  
N. Patrick ◽  
H. D. Scheer ◽  
D. Patrick ◽  
...  
Keyword(s):  
Key Words ◽  
Average Daily Gain ◽  
Carcass Traits ◽  
Preliminary Evaluation ◽  
Muscle Area ◽  
Boer Goat ◽  
Dressing Percentage ◽  
Daily Gain

Birth weights of Boer (BO) sired kids were 9% higher than Alpine (AL) sired kids. Weaning, 160 d weight and preweaning average daily gain (ADG) were similar for the AL × AL, AL × SA and BO × AL. Breed of dam was significant (P < 0.02) for birth, weaning, 100-d weight, and preweaning ADG. Similar dressing percentage (DP) and ribeye muscle area (REA) were observed among AL × AL, AL × SP, and BO × SP crosses. Key words: Crossbreeding, Boer, Alpine, growth, carcass, ultrasound

Sign in / Sign up

Export Citation Format

Share Document