CRITERIA OF BELLY BACON DESIRABILITY. I. FAT–LEAN RATIO OF THE PORK BELLY IN RELATION TO BACKFAT, CARCASS WEIGHT AND SPECIFIC GRAVITY

1975 ◽  
Vol 55 (4) ◽  
pp. 641-648 ◽  
Author(s):  
H. T. FREDEEN ◽  
A. H. MARTIN ◽  
J. G. McANDREWS ◽  
D. S. HARBISON

Belly composition in relation to specific gravity of the cured belly and weight and backfat measurements of the carcass was evaluated on a sample of 730 carcasses. Substantial sex differences were observed with boars (n = 109) having 4.5% less fat in the belly than gilts (n = 379) and gilts 2.7% less fat than castrates (n = 242). Percent fat of belly increased in a linear fashion with increasing backfat thickness with the change consistent for each sex across the carcass weight range (56–90 kg). In regression analysis of the total population, backfat explained 46.1% of the total variance in percent fat of the belly, weight after backfat 0.5% and specific gravity after weight 36.1%. Inclusion of sex in the regression equation increased the proportion of variance explained by 0.4% (from 82.7 to 83.1). Carcass weight, backfat thickness, and percent fat in the belly were directly related to belly weight expressed as a proportion of carcass weight and inversely related to percent curing shrink.

2018 ◽  
Vol 1 (1) ◽  
pp. 74
Author(s):  
Idrus Ismail

This study aims to determine the effect of Total Population on Rice Consumption in the District of Asparaga Gorontalo Regency can be fulfilled. The data used in this study Primary data obtained directly from the object of research either through interviews or from the observation (observation) in the community in District Asparaga Gorontalo and secondary data that is sourced from documents in related institutions in District Asparaga Regency Gorontalo. The method of analysis used is simple regression analysis method to see the relation of population to rice consumption with the help of SPSS Program which used in analyzing data.The results obtained from the data that has been collected to obtain the regression equation Y = 601.439 + 0.997 X means the Number of residents in District Asparaga Gorontalo regency in every year very little effectThis study aims to determine the effect of Total Population on Rice Consumption in the District of Asparaga Gorontalo Regency can be fulfilled. The data used in this study Primary data obtained directly from the object of research either through interviews or from the observation (observation) in the community in District Asparaga Gorontalo and secondary data that is sourced from documents in related institutions in District Asparaga Regency Gorontalo. The method of analysis used is simple regression analysis method to see the relation of population to rice consumption with the help of SPSS Program which used in analyzing data.The results obtained from the data that has been collected to obtain the regression equation Y = 601.439 + 0.997 X means the Number of residents in District Asparaga Gorontalo regency in every year very little effect


1965 ◽  
Vol 45 (1) ◽  
pp. 37-42 ◽  
Author(s):  
W. J. Boylan ◽  
M. E. Seale

Data obtained over a 2-year period on 120 lamb carcasses provided estimates of the covariation among the traits of loin eye area (longissimus dorsi), backfat thickness, percent shoulder, percent rack, percent loin, percent leg, and dressing percent.Percent leg, percent shoulder, and loin eye area decreased with an increase in fatness while percent loin, percent rack, and dressing percent increased. Carcass weight accounted for about 46% and 31% respectively of the variation in loin eye area and dressing percent, but less than 10% for any other traits.An examination of the variation among the traits showed that highly significant (P <.01) year differences occurred for loin eye area, percent shoulder, percent rack, percent leg, and dressing percent, but not for backfat thickness and percent loin.Breed differences were found to exist between Suffolk and line M lambs for all traits studied. Sex differences were found for backfat thickness, percent shoulder, percent loin, and dressing percent. However, most of these differences occurred between ewes and wethers or ewes and rams.


1975 ◽  
Vol 55 (4) ◽  
pp. 673-682
Author(s):  
H. T. FREDEEN ◽  
A. H. MARTIN ◽  
J. G. McANDREWS ◽  
D. S. HARBISON

Market index values applied to carcasses weighing 59–77 kg provided a reasonably consistent indication of lean–fat ratio in the belly with lean content increasing as index increased from 92 to 112. However, index values involving carcass weight discounts (i.e. applied to carcasses outside this 18-kg weight range) were not a consistent measure of belly merit or of carcass backfat and, in the total population studied, all belly traits were more reliably predicted by carcass backfat per se than by index. Statistical analyses did not identify any interactions between sex and fat, sex and weight, or weight and fat over the total range of weight (55–94 kg) and fat (40–110 mm) represented in the population. It was concluded that market index, if it is to serve as a consistent predictor of quantitative traits observed in the belly cut, would require revision to extend into the upper weight range (up to 90 kg), the systematic fat–weight–index pattern currently applied to carcasses weighing 59–77 kg.


1987 ◽  
Vol 67 (1) ◽  
pp. 209-212 ◽  
Author(s):  
W. R. USBORNE ◽  
D. MENTON ◽  
I. McMILLAN

The Destron PG-100 electronic grading probe was evaluated for prediction of lean yield, comparison with the ruler measurement, and precision on 204 pork carcasses representing equal numbers of barrows and gilts and a warm carcass weight range of 56.8–111.4 kg. A complete cutout was done on the left side from each carcass to determine a regression equation for prediction of lean yield from the probe measurements of thickness of fat and muscle between the 3rd and 4th last rib, 7 cm off the mid-line. The Hennessy probe was used as the standard for this study. Both probes performed equally well when compared with the ruler measurement and in their ability to predict lean yield. Key words: Electronic grading, pork carcasses, pork grading


1985 ◽  
Vol 56 (1) ◽  
pp. 189-190
Author(s):  
Thomas W. Durham

The 1972 table of norms for the Stanford-Binet Intelligence Scale does not include scores for adults who achieve Mental Ages (MA) below 5–3. To standardize assignment of IQ for severely and profoundly retarded adults scoring in this range, a regression analysis of the 1972 tabled values at the Chronological Age (CA) 18–0 level was performed. From the resulting regression equation, a table containing extrapolated IQs for MAs 2–0 through 5–11 was produced which can be used to standardize estimates of IQ for low-functioning adults.


2013 ◽  
Vol 12 (04) ◽  
pp. 1350021 ◽  
Author(s):  
S. KAHRAMAN ◽  
M. S. DELIBALTA ◽  
R. COMAKLI

Compared to the indirect tests, the determination of the Los Angeles abrasion loss is time consuming and expensive, and requires a large amount of samples. For this reason, the prediction of Los Angeles abrasion loss from some indirect tests is useful for preliminary studies. In this study, Los Angeles abrasion, noise level (NL) measurement, density, and porosity tests were carried out on 27 different rock types such as igneous, metamorphic, and sedimentary. The test results were evaluated using the simple and multiple regression analysis. A good relation was found between the Los Angeles abrasion loss and the NL. In order to check the possibility of obtaining more significant relations, multiple regression analysis was performed by including density and porosity values. However, the regression analysis showed that the correlation coefficients of the multiple regression equations were slightly higher than that of the simple regression equation. Since the simple regression equation is practical and statistically significant, it is suggested for estimation purpose. In conclusion, it can be said that Los Angeles abrasion loss of aggregates can be reliably estimated from NL measurement.


2019 ◽  
Vol 3 (2) ◽  
Author(s):  
H. Price ◽  
A. B. Lerner ◽  
E. A. Rice ◽  
J. E. Lowell ◽  
B. N. Harsh ◽  
...  

ObjectivesBetween 1995 and 2018, average hot carcass weight of U.S. pork carcasses increased from 82 kg to 96 kg, which is an increase of approximately 17%. At current rates, pork carcasses in the U.S. will weigh on average, 105 kg by the year 2030 and over 118 kg by 2050. Although this represents an increase in throughput efficiency due to increases in economy of scale, projecting continued increases in the future raises some concerns. Therefore, the objective was to characterize pork quality of carcasses ranging from 78 to 145 kg with a mean weight of 119 kg.Materials and MethodsCarcass composition, such as hot carcass weight (HCW), back fat depth and loin depth were measured on 666 carcasses. Additionally, loin quality measurements, such as pH, loin instrumental and visual color, and iodine value of clear plate fat were measured on approximately 90% of the total population. Ham quality, 14 d aged loin and chop quality measurements, and loin chop slice shear force (SSF) were evaluated on approximately 30% of the total population. Finally, myosin heavy chain fiber type determination was completed on approximately 50 carcasses selected from carcasses ranging from 97 to 133 kg. The slope of regression lines and coefficients of determination between hot carcass weights and quality traits were calculated using the REG procedure in SAS and considered significantly different from 0 at P ≤ 0.05.ResultsAs HCW increased loin depth (b1 = 0.2496, P < 0.0001), back fat depth (b1 = 0.1374, P < 0.0001), loin weight (b1 = 0.0345, P < 0.0001), chop weight (b1 = 1.6626, P < 0.0001), and ham weight (b1 = 0.1044, P < 0.0001) increased. There was a decrease in estimated lean (b1 = –0.0751, P < 0.0001) and iodine value (b1 = –0.0923, P < 0.0001) as carcass weight increased, however, HCW only accounted for ≤ 24% (R2 = 0.24) of the variation in estimated lean and iodine value. Additionally, there were no significant differences in gluteus medius pH (b1 = 0.0009, P = 0.30) or instrumental lightness (b1 = 0.0301, P = 0.15), redness (b1 = –0.0036, P = 0.73) or yellowness (b1 = 0.0058, P = 0.57) of the ham as carcass weight increased. As carcass weight increased, 1 d loin instrumental yellowness (b*) increased (b1 = 0.0092 P < 0.01), however HCW only explained 1% of the variation in b*. Heavier carcasses were more tender (decreased SSF of chops cooked to 71°C, (b1 = –0.0674, P < 0.0001), although HCW only explained 9% of the variation in SSF. Total cook loss of chops used for SSF determination decreased as HCW increased (b1 = –0.0512, P < 0.0001), and HCW explained 15% (R2 = 0.15) of the variation in total cook loss. There were no significant differences in fiber type percentage, type 1 (b1 = –0.0170, P = 0.81), 2a (b1 = –0.0786, P = 0.23), 2x (b1 = –0.0201, P = 0.80), or 2b (b1 = 0.1224, P = 0.37), or fiber type area, type 1 (b1 = –26.6331, P = 0.22), 2a (b1 = –40.7257, P = 0.07), 2x (b1 = –46.9459, P = 0.25), or 2b (b1 = –26.2537, P = 0.38) as HCW increased.ConclusionDue to the lack of variation explained by HCW (≤ 15%), pork quality traits are not expected to be compromised as HCW continues to increase. The results suggest that increasing HCW to 119 kg did not have detrimental effects on pork quality attributes.


2014 ◽  
Vol 2 (1) ◽  
Author(s):  
AYU SURYANI ◽  
Harya Kuncara ◽  
Siti Nurjanah

The purpose of this research is to gain proper knowledge (legal, valid and true), trustworthy, dependable (reliable) concerning the influence of intense job satisfaction on turnover of teachers in East Jakarta Cipayung PGRI Foundation. This study used a survey, which studied data from samples taken from a populace. Collecting data using a Likert scale questionnaire to variable job satisfaction and turnover intention teacher in East Jakarta Cipayung PGRI Foundation. The sample in this study are all teachers in East Jakarta Cipayung PGRI Foundation (Saturation Sampling). This study uses linear regression analysis. The result is the satisfaction worked intense negative affect turnover. That is, the higher the job satisfaction obtained, the lower turnover intense. In addition, using the f test to determine the significance of the variable to Y produces f of 4.623 with p <0.05, which means there are significant effect all dimensions of job satisfaction on turnover intense. 0.47 shows the determination is meant the proportion of variance explained by the intense turnover entire dimension job satisfaction. The conclusion of this study is that there is significant relationship between the variables of job satisfaction on turnover intention variable. The higher satisfaction received by the teacher, the lower the intention Turnover. So are suggested every teacher should work in a professional manner in order to increase job satisfaction and ultimately reduce intense turnover Keywords: Job Satisfaction, Turnover Intention


2016 ◽  
Vol 7 (2) ◽  
Author(s):  
Teguh Iman Sayekti ◽  
Euis Soliha

<p><em>This study is to determine what factors influencingthe performance of SMEs. The population in this study is SMEs in the Central Java. Sample collection was conducted with a purposive sampling method. Criteriaused to take into accountis the SMEs that are already running at leastfortwo years. The sample in this study is intended as the representative of total population,67 (sixty seven). The data were processed and analyzed by computer program of SPSS 20 for Windows. Based on the results of regression analysis, it can be concluded that competitiveness has positive and significant impact on marketing performance marketing access has positive and significant impact on marketing performance. It means that the higher competitiveness and marketing access, the higher its performance. Competitiveness and marketing access have influence on SMEs’ performance through network capability.   </em></p>


2020 ◽  
Vol 2 (2) ◽  
pp. 107-116
Author(s):  
Rizcky Ardiansyah ◽  
Rosida P Adam ◽  
Bakri Hasanuddin

The objective of the research is to find out and analyze the influence of product quality on decision-making, both simultaneously and partially. The research is verificative. The sample involves consumers of Agya car at PT. Hadji Kalla. The analysis tool used is multiple linear regression analysis. The result of regression equation from the study is -2.887 + 0,237 X1+ 0,220X2 + 0,217X3 + 0,319X4 + 0,166X5 + 0,418X6 + 0,140X7. Product Quality partially has significant to decision-making.                                 Tujuan dari penelitian ini adalah untuk mengetahui dan menganalisis pengaruh Kualitas Produk keputusan menandai baik secara simultan maupun parsial. Penelitian ini merupakan penelitian verifikatif. sampel adalah konsumen Of Agya di PT. Hadji Kalla. Alat analisis yang digunakan adalah beberapa analisis regresi linear. Hasil persamaan regresi dari penelitian ini adalah -2,887 + 0.237 X1 + 0,220X2 + 0,217X3 + 0,319X4 + 0,166X5 + 0,418X6 + 0,140X7. Kualitas produk parsial memiliki signifikan untuk pembuatan keputusan.


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