Developing Equations for Converting Digestible Energy to Metabolizable Energy for Korean Hanwoo Beef Cattle

This study was performed to update and generate prediction equations for converting digestible energy (DE) to metabolizable energy (ME) for Korean Hanwoo beef cattle, taking into consideration the gender (male and female) and body weights (BW above and below 350 kg) of the animals. The data consisted of 141 measurements from respiratory chambers with a wide range of diets and energy intake levels. A simple linear regression of the overall unadjusted data suggested a strong relationship between the DE and ME (Mcal/kg DM): ME = 0.8722 × DE + 0.0016 (coefficient of determination (R2) = 0.946, root mean square error (RMSE) = 0.107, p < 0.001 for intercept and slope). Mixed-model regression analyses to adjust for the effects of the experiment from which the data were obtained similarly showed a strong linear relationship between the DE and ME (Mcal/kg of DM): ME = 0.9215 × DE − 0.1434 (R2 = 0.999, RMSE = 0.004, p < 0.001 for the intercept and slope). The DE was strongly related to the ME for both genders: ME = 0.8621 × DE + 0.0808 (R2 = 0.9600, RMSE = 0.083, p < 0.001 for the intercept and slope) and ME = 0.7785 × DE + 0.1546 (R2 = 0.971, RMSE = 0.070, p < 0.001 for the intercept and slope) for male and female Hanwoo cattle, respectively. By BW, the simple linear regression similarly showed a strong relationship between the DE and ME for Hanwoo above and below 350 kg BW: ME = 0.9833 × DE − 0.2760 (R2 = 0.991, RMSE = 0.055, p < 0.001 for the intercept and slope) and ME = 0.72975 × DE + 0.38744 (R2 = 0.913, RMSE = 0.100, p < 0.001 for the intercept and slope), respectively. A multiple regression using the DE and dietary factors as independent variables did not improve the accuracy of the ME prediction (ME = 1.149 × DE − 0.045 × crude protein + 0.011 × neutral detergent fibre − 0.027 × acid detergent fibre + 0.683).

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Predicting Metabolizable Energy from Digestible Energy for Growing and Finishing Beef Cattle and Relationships to Prediction of Methane

Journal of Animal Science ◽

10.1093/jas/skac013 ◽

2022 ◽

Author(s):

K E Hales ◽

C A Coppin ◽

Z K Smith ◽

Z S McDaniel ◽

L O Tedeschi ◽

...

Keyword(s):

Beef Cattle ◽

Methane Production ◽

Dry Matter ◽

Metabolizable Energy ◽

Finishing Cattle ◽

Digestible Energy ◽

A Value ◽

Wide Range ◽

Data Points ◽

Finishing Beef Cattle

Abstract Reliable predictions of metabolizable energy (ME) from digestible energy (DE) are necessary to prescribe nutrient requirements of beef cattle accurately. A previously developed database that included 87 treatment means from 23 respiration calorimetry studies has been updated to evaluate the efficiency of converting DE to ME by adding 47 treatment means from 11 additional studies. Diets were fed to growing-finishing cattle under individual feeding conditions. A citation-adjusted linear regression equation was developed where dietary ME concentration (Mcal/kg of dry matter [DM]) was the dependent variable and dietary DE concentration (Mcal/kg) was the independent variable: ME = 1.0001 × DE – 0.3926; r 2 = 0.99, root mean square prediction error [RMSPE] = 0.04, P < 0.01 for the intercept and slope). The slope did not differ from unity (95% CI = 0.936 to 1.065); therefore, the intercept (95% CI = -0.567 to -0.218) defines the value of ME predicted from DE. For practical use, we recommend ME = DE – 0.39. Based on the relationship between DE and ME, we calculated the citation-adjusted loss of methane, which yielded a value of 0.2433 Mcal/kg of DMI (SE = 0.0134). This value was also adjusted for the effects of dry matter intake (DMI) above maintenance, yielding a citation-adjusted relationship: CH4, Mcal/kg = 0.3344 – 0.05639 × multiple of maintenance; r 2 = 0.536, RMSPE = 0.0245, P < 0.01 for the intercept and slope). Both the 0.2433 value and the result of the intake-adjusted equation can be multiplied by DMI to yield an estimate of methane production. These two approaches were evaluated using a second, independent database comprising 129 data points from 29 published studies. Four equations in the literature that used DMI or intake energy to predict methane production also were evaluated with the second database. The mean bias was substantially greater for the two new equations, but slope bias was substantially less than noted for the other DMI-based equations. Our results suggest that ME for growing and finishing cattle can be predicted from DE across a wide range of diets, cattle types, and intake levels by simply subtracting a constant from DE. Mean bias associated with our two new methane emission equations suggests that further research is needed to determine whether coefficients to predict methane from DMI could be developed for specific diet types, levels of DMI relative to body weight, or other variables that affect the emission of methane.

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Pengaruh Strategi Promosi terhadap Keputusan Konsumen dalam Pembelian Kosmetik Sari Ayu di Outlet Mall Palembang Icon

Jurnal Nasional Manajemen Pemasaran & SDM ◽

10.47747/jnmpsdm.v1i2.127 ◽

2020 ◽

Vol 1 (2) ◽

pp. 56-65

Author(s):

Nadya Annisa ◽

Roswaty Roswaty ◽

Budi Setiawan

Keyword(s):

Linear Regression ◽

Linear Regression Analysis ◽

Sampling Technique ◽

Strong Relationship ◽

Total Sample ◽

Coefficient Of Determination ◽

Purchase Decision ◽

Simple Linear Regression ◽

Validity And Reliability ◽

Promotion Strategy

Abstrak Penelitian ini bertujuan untuk melihat pengaruh strategi promosi terhadap keputusan konsumen dalam pembelian kosmetik Sari Ayu di outlet Mall Palembang Icon atau bisa juga disebut dengan PT. Martina Berto Tbk yang bertepatan di jalan POM IX. Penelitian ini merupakan penelitian deskriptif kuantitatif dengan jumlah sampel sebanyak 70 responden, sedangkan teknik pengambilan sampel yang digunakan dalam penelitian ini adalah sampling kebetulan (Accidental). Pada penelitian ini variabel bebasnya terdiri dari Strategi Promosi, sedangkan variabel terikatnya adalah keputusan pembelian. Pengujian instrumen menggunakan uji validitas dan reliabilitas. Sedangkan metode analisis data menggunakan analisis regresi linier sederhana dengan uji t, R, dan R2. Hasil perhitungan uji t sebesar t hitung X (Strategi Promosi) sebesar 10,679 pada tingkat sig 0,000. Hasil uji koefisien Korelasi (R) diperoleh nilai sebesar 0,791 menunjukan bahwa hubungan antara variabel X (Strategi Promosi) mempunyai hubungan yang kuat terhadap variabel Y (keputusan pembelian). Hasil uji koefisien determinasi (R2) menunjukan Adjusted R Square 0,626 atau 62,6%. Hasil perhitungan uji regresi linier sederhana sebesar Y= -0,922-1,007X. Hasil dari penelitian ini mengatakan bahwa Strategi Promosi memiliki pengaruh positif terhadap keputusan pembelian. Abstract This study aims to see the effect of promotional strategies on consumer decisions in purchasing Sari Ayu cosmetics at the Palembang Icon Mall outlet or also known as PT. Martina Berto Tbk which coincides on Jalan POM IX. This research is a quantitative descriptive study with a total sample of 70 respondents, while the sampling technique used in this study is accidental sampling. In this study, the independent variable consists of the Promotion Strategy, while the dependent variable is the purchase decision. Testing instruments using validity and reliability tests. While the data analysis method uses simple linear regression analysis with t, R, and R2 tests. The result of t test calculation is t count X (Promotion Strategy) of 10.679 at the sig 0.000 level. The results of the correlation coefficient test (R) obtained a value of 0.791, indicating that the relationship between variable X (Promotion Strategy) has a strong relationship with variable Y (purchase decision). The test results of the coefficient of determination (R2) show Adjusted R Square 0.626 or 62.6%. The calculation result of simple linear regression test is Y = -0,922-1,007X. The results of this study indicate that the Promotion Strategy has a positive influence on purchasing decisions.

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Pengaruh Penghargaan Terhadap Kinerja Karyawan pada CV. Dino Manunggal Karsa Bogor

Jurnal Ilmiah Binaniaga ◽

10.33062/jib.v4i2.209 ◽

2019 ◽

Vol 4 (2) ◽

pp. 17

Author(s):

Dedy Mulyadi ◽

Didik Purwanto

Keyword(s):

Linear Regression ◽

Performance Assessment ◽

Correlation Coefficient ◽

Linear Regression Analysis ◽

Strong Relationship ◽

Simple Linear Regression ◽

New Employees ◽

Company Policy ◽

Effective Manner ◽

Relationship Of

The question of compensation in addition to sensitive to be driving someone to worl due to an effect on morale and discipline employees. Therefore , any agency or any organization should be able to provide compensation equal to the workload to create a workforce that efficient and effective manner can be realized. Amaore than that, the company’s goal to improve performance. Performance assessment is a subjective process that involves human judgments. Thus, performance assessment is very likely wrong and very easily influonced by sources that are not actual, so it must be taken into account and considered reasinable. Frformance appraisals are considered to meet the target if it has a good impact on new employees who rated their performance. Simple linear regression analysis using SPSS version 12:00 data processing obtained tegression equation Y = 0,487 X 74 + with an explanation of X = award, 74 = constant, 0.487 = coefficient awards, and Y = performance based on simple linear regression equation in case of increase of one unit of the performance award will be increased 0.487 units. If company policy negates the performance award will remain at a constant rate (74) units . (A) Test results obtained thitung significant constants of (12.574) > t table for (1.960 then reject Ho constanta significant meaning. (B) significant Test award coefficient t count the results obtained by (2.164)> t table foe (1.96) then reject Ho the mean coeffent of appreciation affect the performance . (C) correlation coefficient analysis is done by calculating the product moment corration (pearson) to test whether or not a strong relationship between the variables X dan Y , based on the results of cakculations with SPSS table valuse obtained by calculating the correlation coefficient r (0.3100> r on the table for a = 0,05 (0.291) then reject Ho, which means there is a relationship of respect for performance. When we enter these valuse in the table shows the interpretation of the correlation coefficient between the interval from 0.20 to 0.399 which has a low relationship

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Maintaining Customer Loyalty by Intensifying Service Quality and Customer Satisfaction in Commuter Line Jabodetabek

Journal of Business and Economics ◽

10.15341/jbe(2155-7950)/09.10.2019/010 ◽

2019 ◽

Vol 10 (9) ◽

pp. 902-909

Author(s):

Umbas Krisnanto ◽

◽

Conny Marpaung ◽

Keyword(s):

Data Analysis ◽

Linear Regression ◽

Customer Satisfaction ◽

Service Quality ◽

Hypothesis Testing ◽

Customer Loyalty ◽

T Test ◽

Coefficient Of Determination ◽

Simple Linear Regression ◽

Significance Level

This study aims to determine and analyze the influence of Service Quality and Customer Satisfaction on Customer Loyalty in Jabodetabek Commuter Line. The sample of this study was 50 people. Methods of collecting data by distributing questionnaires. Data analysis using the analysis used is simple linear regression, t test and coefficient of determination. The results showed 1) Service Quality has a positive and significant effect on Customer Loyalty in Jabodetabek Commuter Line, with a significance level of 0.048; and supported by the results of hypothesis testing with a t-count value of 4.433 > t-table value of 1.95, with a significance of 0.048 or < 0.05; 2) Customer Satisfaction positive and significant effect on Customer Loyalty in Jabodetabek Commuter Line, with a level significance of 0,000; and supported by the results of hypothesis testing with a t-count value of 4,969 > t-table value of 1.95, with a significance of 0,000 or < 0.05, 3) Service quality and Customer Satisfaction have a positive and significant effect on Customer Loyalty in Jabodetabek Commuter Line, with a significance level of 0,000. This means that the hypothesis H0 is rejected and Ha is accepted so that it can be concluded that service quality and customer satisfaction together have a positive and significant effect on customer loyalty in Jabodetabek Commuter Line.

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ANALISIS PENGARUH PENAGIHAN PAJAK DENGAN SURAT PAKSA TERHADAP PENERIMAAN PAJAK DI KANTOR PELAYANAN PAJAK PRATAMA ARGAMAKMUR PROVINSI BENGKULU

EKOMBIS REVIEW: Jurnal Ilmiah Ekonomi dan Bisnis ◽

10.37676/ekombis.v5i2.389 ◽

2017 ◽

Vol 5 (2) ◽

Author(s):

Adhitya Yuspitara ◽

Karona Cahya Susena ◽

Herlin

Keyword(s):

Linear Regression ◽

Income Tax ◽

Linear Regression Analysis ◽

Secondary Data ◽

Coefficient Of Determination ◽

Tax Revenue ◽

Simple Linear Regression ◽

Simple Correlation ◽

Tax Collection ◽

Made In

Adhitya Yuspitara, Karona Cahya Susena, Herlin; The purpose of this study is to provide an overview of tax collection actions with a forced letter made in the tax office Pratama Argamakmur, Knowing the effect of tax collection by a forced letter in the tax service office pramama argamakmur in order to increase tax revenue in KPP Prtama Argamakmur in particular corporate income tax. Data collection method used is secondary data in the form of documentation. The method of analysis used is simple linear regression analysis and hypothesis testing with t test. Based on the results of research and data analysis on the effect of tax collection with a letter of force against tax revenue in the tax office Pratama Argamakmur can draw the conclusion of the results of simple correlation analysis, simple linear regression value Y=7.105.100,391+977.683,917X r value = 0,803 The coefficient of determination = 0.645 and the value of t arithmetic greater than t table is 5,714>1.725 it indicates that Ho is rejected and Ha received which means that there is influence of tax collection with the letter of force against the tax revenue.Key Words: Tax collection and Tax Receipts

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PENGARUH KEPRIBADIAN TERHADAP KINERJA KARYAWAN DI HOTEL ELRESAS LAMONGAN

Adbis: Jurnal Administrasi dan Bisnis ◽

10.33795/j-adbis.v11i2.32 ◽

2017 ◽

Vol 11 (2) ◽

pp. 221

Author(s):

Nilawati Fiernaningsih

Keyword(s):

Linear Regression ◽

Employee Performance ◽

Hypothesis Test ◽

Sampling Technique ◽

Coefficient Of Determination ◽

Simple Linear Regression ◽

Performance Variables ◽

Descriptive Research ◽

Quantitative Descriptive ◽

Entire Amount

The purpose of this study to determine the effect of personality on employee performance. The type of research used is quantitative descriptive research. Sampling technique using non probability sampling method with saturated sampling technique that is taking the entire amount of the population to be sampled that is a number of 30 respondents. Methods of data collection by interview, questionnaire and observation. For data analysis used simple linear regression. Based on the analysis of data processing that has been tested in this study stated valid and reliable. The result of simple linear regression equation is Y = 26,309 + 2,061X. Results of the hypothesis test are known to be> ttable> 5,025> 2.048. Coefficient of determination of 0.474. While the percentage of the magnitude of the influence between the variable personality and employee performance variables of 49.2% and the rest of 50.8% influenced by other variables not examined in this study.

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Sustainable crossbreeding systems of beef cattle in the era of climate change

South African Journal of Animal Science ◽

10.4314/sajas.v44i5.2 ◽

2015 ◽

Vol 44 (5) ◽

pp. 8-11

Author(s):

MC Mokolobate ◽

A Theunissen ◽

MM Scholtz ◽

FWC Neser

Keyword(s):

Climate Change ◽

Beef Cattle ◽

Carbon Footprint ◽

Production Systems ◽

Metabolizable Energy ◽

Daily Weight Gain ◽

Ghg Mitigation ◽

Mitigation And Adaptation ◽

Wide Range ◽

Mitigation And Adaptation Strategies

Beef cattle are unique, because they not only suffer from climate change, but they also contribute to climate change through the emission of greenhouse gases (GHG). Mitigation and adaptation strategies are therefore needed. An effective way to reduce the carbon footprint from beef cattle would be to reduce the numbers and increase the production per animal, thereby improving their productivity. Sustainable crossbreeding systems can be an effective way to reduce GHG, as it has been shown to increase production. There are a wide range of different cattle breeds in South Africa which can be optimally utilized for effective and sustainable crossbreeding. This paper reports on the effects of crossbreeding on the kilogram calf weaned per Large Stock Unit (kgC/LSU) for 29 genotypes. These genotypes were formed by crossing Afrikaner (A) cows with Brahman (B), Charolais (C), Hereford (H) and Simmentaler (S) bulls and by back-crossing the F1 cows to the sire lines. A LSU is the equivalent of an ox of 450 kg with a daily weight gain of 500 g on grass pastures with a mean digestible energy (DE) content of 55% and a requirement of 75 MJ metabolizable energy (ME). Crossbreeding with A as dam line increased the kgC/LSU on average by 8 kg (+6%) - with the CA cross producing the most kgC/LSU (+8%) above that of the AA. The BA dam in crosses with C, H and S, increased kgC/LSU on average by 26 kg (+18%) above that of the AA dam, with the H x BA cross, producing the most kgC/LSU (+21%). The BA, CA, HA and SA F1 dam lines, back-crossed to the sire line breeds, increased kgC/LSU on average by 30 kg (21%), 21 kg (15%), 19kg (13%) and 26 kg (18%) above the that of the AA, respectively. The big differences between breeds in kgC/LSU provide the opportunity to facilitate effective crossbreeding that can be useful in the era of climate change. From this study it is clear that cow productivity can be increased by up to 21% through properly designed, sustainable crossbreeding systems, thereby reducing the carbon footprint of beef production.Keywords: Carbon footprint, cow productivity, kilogram calf, production systems

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Pengaruh Service Quality terhadap Customer Satisfaction Pada PT. Bank Jateng KCP Cepu

EQUILIBRIUM Jurnal Ilmiah Ekonomi dan Pembelajarannya ◽

10.25273/equilibrium.v6i1.2189 ◽

2018 ◽

Vol 6 (1) ◽

pp. 86

Author(s):

Zariahwati Ajining Pambudi

Keyword(s):

Linear Regression ◽

Customer Satisfaction ◽

Service Quality ◽

Hypothesis Test ◽

Sampling Technique ◽

T Test ◽

Coefficient Of Determination ◽

Simple Linear Regression ◽

Test Of Hypothesis ◽

Study Population

This research has a purpose to know the implementation of Service Quality, to know the Customer Satisfaction at PT. Bank Jateng KCP Cepu. In this study population consists of 1.000 customer satisfaction with a sample of 286 using Incidental sampling technique. Data were taken by questionnaire, observation and documentation. The analysis was processed with SPSS program version 22.0 using simple linear regression with test of hypothesis test of determination and t test. The result of research shows that the result of Simple Linear Regression Test is Y = 9,311 + 0,763 X, constant of 9,311 means if variable of Service Quality is still value then Customer Satisfaction is 0,763 so there is influence between Service Quality to Customer Satisfaction. The result of Coefficient of Determination ( ) is known 0,400 means 40% Service Quality is influenced by Customer Satisfaction, while the rest 60% Service Quality is influenced by other variables not examined in this research. Then, the result of t test obtained value is 13,765 while equal to 1,9683. This means that the value of > (13,765>1,9683) so it can be concluded that Ho is rejected and Ha accepted, meaning there is influence the Service Quality to Customer Satisfaction at PT. Bank Jateng KCP Cepu.

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Forecasting the Harvest Date and Yield of Sweet Corn by Complex Regression Models

Journal of the American Society for Horticultural Science ◽

10.21273/jashs.118.4.450 ◽

1993 ◽

Vol 118 (4) ◽

pp. 450-455 ◽

Cited By ~ 5

Author(s):

L.W. Lass ◽

R.H. Callihan ◽

D.O. Everson

Keyword(s):

Linear Regression ◽

Sweet Corn ◽

Forecast Accuracy ◽

Planting Date ◽

Harvest Date ◽

Coefficient Of Determination ◽

Growing Degree Days ◽

Simple Linear Regression ◽

Degree Days ◽

Independent Variables

Predicting sweet corn (Zea mays var. rugosa Bonaf.) harvest dates based on simple linear regression has failed to provide planting schedules that result in the uniform delivery of raw product to processing plants. Adjusting for the date that the field was at 80% silk in one model improved the forecast accuracy if year, field location, cultivar, soil albedo, herbicide family used, kernel moisture, and planting date were used as independent variables. Among predictive models, forecasting the Julian harvest date had the highest correlation with independent variables (R2 = 0.943) and the lowest coefficient of variation (cv = 1.31%). In a model predicting growing-degree days between planting date and harvest, R2 (coefficient of determination) = 0.85 and cv = 2.79%. In the model predicting sunlight hours between planting and harvest, R2 = 0.88 and cv = 6.41%. Predicting the Julian harvest date using several independent variables was more accurate than other models using a simple linear regression based on growing-degree days when compared to actual harvest time.

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Pengaruh Citra Bank dan Promosi Undian Ghendis Manis Terhadap Keputusan Petani Tebu Menabung di Bank

Jurnal Ilmu Manajemen Advantage ◽

10.30741/adv.v1i1.23 ◽

2017 ◽

Vol 1 (1) ◽

pp. 76-87

Author(s):

Umar Makruf ◽

Hesti Budiwati

Keyword(s):

Linear Regression ◽

Quantitative Research ◽

Linear Regression Analysis ◽

Regression Function ◽

Multiple Linear Regression Analysis ◽

Coefficient Of Determination ◽

Simple Linear Regression ◽

Effect Relation ◽

Saving Decisions ◽

Branch Office

The study aims to knowed influence of bank image and promotion on gamling gendis manis to farming dicision to saving in Lumajang Branch office of BRI. Either partially of simultaneously. This research is quantitative research to find the associative relationship that are causal or the research to ask the question the relations between two or more variable and cause effect relation. The study aims to find evidence of the influence of bank image and promotion on saving decisions of Lumajang Barnch Office of Bank Rakyat Indonesia either partially or simultaneously. This study tested the hypothesis that there is a bank image effect on the saving decisions, there is promotion on saing decisions, and there is the influence of bank image and promotion to work simultaneously on the performance of employees at the National Narcotics Agency office Lumajang. The study, of 45 respondents using multiple linear regression analysis is the bank image there is an influence on saving decisions, there is work promotion on saving decisions, and there is the influence of bank image and promotion to work simultaneously on the decisions of saving at the Lumajang Barnch Office of Bank Rakyat Indonesia. Simple linear regression function generated is Y= 4,096 + 0,345X1 + 0,183X2. The coefficient of determination showed that 53,5 of saving decisions can be explained by the bank image and promotion t, while the remaining 46,5% of saving decisions is influenced by other variables not examined in this study.

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