543 Late-Breaking: Development of a Model to Predict Dietary Metabolizable Energy from Digestible Energy in Beef Cattle

2021 ◽  
Vol 99 (Supplement_3) ◽  
pp. 152-153
Author(s):  
Seongwon Seo ◽  
Kyewon Kang ◽  
Seoyoung Jeon ◽  
Luis O Tedeschi
Keyword(s):  
Beef Cattle ◽  
Meta Analysis ◽  
Linear Equations ◽  
Random Variable ◽  
Metabolizable Energy ◽  
Published Data ◽  
Significant Variable ◽  
Finishing Cattle ◽  
Digestible Energy ◽  
Dietary Nutrients

Abstract We aimed to assess whether predicting the metabolizable energy (ME) to digestible energy (DE) ratio (MDR), rather than a prediction of ME with DE, is feasible and to develop a model equation to predict MDR in beef cattle. For this, we constructed a literature database based on published data. A meta-analysis was conducted with 306 means from 69 studies containing both dietary DE and ME concentrations measured by calorimetry to test whether the exclusion of the y-intercept is adequate in the linear relationship between DE and ME. A random coefficient model with study as the random variable was used to develop equations to predict MDR in growing and finishing beef cattle. The developed equations were evaluated with other published equations. The no-intercept linear equation represented the relationship between DE and ME more appropriately than the equation with a y-intercept. Within our growing and finishing cattle data, the animal’s physiological stage was not a significant variable affecting MDR after accounting for the study effect (P = 0.213). The mean (± SE) of MDR was 0.849 (± 0.0063). Two linear equations with the dry matter intake and content of several dietary nutrients were developed to predict MDR. When using these equations, the observed ME was predicted with high precision (R2 = 0.92). The model accuracy was also high, as shown by the high concordance correlation coefficient (> 0.95) and small root mean square error of prediction (RMSEP), less than 5% of the observed mean. Moreover, a significant portion of the RMSEP was due to random bias (> 93%), without mean or slope bias (P > 0.05). We concluded that dietary ME in beef cattle could be accurately estimated from dietary DE and its conversion factor, MDR, using the two equations developed in this study.

Development of a model to predict dietary metabolizable energy from digestible energy in beef cattle

2021 ◽  
Author(s):  
Seongwon Seo ◽  
Kyewon Kang ◽  
Seoyoung Jeon ◽  
Mingyung Lee ◽  
Sinyong Jeong ◽  
...  
Keyword(s):  
Beef Cattle ◽  
Meta Analysis ◽  
Random Variable ◽  
Information Criteria ◽  
Metabolizable Energy ◽  
Published Data ◽  
Significant Variable ◽  
Digestible Energy ◽  
Explanatory Variables ◽  
Dietary Nutrient

Abstract Understanding the utilization of feed energy is essential for precision feeding in beef cattle production. We aimed to assess whether predicting the metabolizable energy (ME) to digestible energy (DE) ratio (MDR), rather than a prediction of ME with DE, is feasible and to develop a model equation to predict MDR in beef cattle. We constructed a literature database based on published data. A meta-analysis was conducted with 306 means from 69 studies containing both dietary DE and ME concentrations measured by calorimetry to test whether exclusion of the y-intercept is adequate in the linear relationship between DE and ME. A random coefficient model with study as the random variable was used to develop equations to predict MDR in growing and finishing beef cattle. Routinely measured or calculated variables in the field (body weight, age, daily gain, intake, and dietary nutrient components) were chosen as explanatory variables. The developed equations were evaluated with other published equations. The no-intercept linear equation was found to represent the relationship between DE and ME more appropriately than the equation with a y-intercept. The y-intercept (-0.025 ± 0.0525) was not different from 0 (P = 0.638), and Akaike and Bayesian information criteria of the no-intercept model were smaller than those with the y-intercept. Within our growing and finishing cattle data, the animal's physiological stage was not a significant variable affecting MDR after accounting for the study effect (P = 0.213). The mean (± SE) of MDR was 0.849 (± 0.0063). The best equation for predicting MDR (n = 106 from 28 studies) was 0.9410 ± 0.02160 + 0.0042 ± 0.00186×DMI (kg)-0.0017 ± 0.00024×NDF(% DM)-0.0022 ± 0.00084×CP(% DM). We also presented a model with a positive coefficient for the ether extract (n = 80 from 22 studies). When using these equations, the observed ME was predicted with high precision (R 2 = 0.92). The model accuracy was also high, as shown by the high concordance correlation coefficient (> 0.95) and small root mean square error of prediction (RMSEP), less than 5% of the observed mean. Moreover, a significant portion of the RMSEP was due to random bias (> 93%), without mean or slope bias (P > 0.05). We concluded that dietary ME in beef cattle could be accurately estimated from dietary DE and its conversion factor, MDR, predicted by the dry matter intake and concentration of several dietary nutrients, using the two equations developed in this study.

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

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.

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

Animals ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 1696
Author(s):  
Ridha Ibidhi ◽  
Rajaraman Bharanidharan ◽  
Jong-Geun Kim ◽  
Woo-Hyeong Hong ◽  
In-Sik Nam ◽  
...  
Keyword(s):  
Linear Regression ◽  
Beef Cattle ◽  
Strong Relationship ◽  
Dietary Factors ◽  
Metabolizable Energy ◽  
Coefficient Of Determination ◽  
Simple Linear Regression ◽  
Male And Female ◽  
Digestible Energy ◽  
Wide Range

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).

Relation between metabolizable and digestible energy in sheep and cattle

1969 ◽  
Vol 20 (6) ◽  
pp. 1117 ◽  
Author(s):  
N. McC. Graham
Keyword(s):  
Linear Equation ◽  
Metabolizable Energy ◽  
Published Data ◽  
Digestible Energy ◽  
The Relationship

Published data for a wide variety of foods given to sheep were analysed statistically in order to clarify the relationship between metabolizable and digestible energy. Metabolizable energy was not a constant fraction of digestible energy; values ranged from 70 to 85%, depending on level of feeding and digestibility. A linear equation described the relationship for most diets and all levels of feeding. A possible reason for differences between diets is mentioned. The equation is shown to be valid for cattle.

Energy values of whole lucerne (Medicago sativa) and of its stem and leaf fractions in immature and fully grown sheep

1985 ◽  
Vol 25 (4) ◽  
pp. 783 ◽  
Author(s):  
DE Margan ◽  
NM Graham ◽  
TW Searle
Keyword(s):  
Cell Wall ◽  
Organic Matter ◽  
Medicago Sativa ◽  
Crude Protein ◽  
Dry Matter ◽  
Energy Content ◽  
Metabolizable Energy ◽  
Published Data ◽  
Digestible Energy ◽  
Ad Libitum

Chopped lucerne hay (Medicago sativa) and a stem fraction derived from it were fed to two adult and two immature wethers ad libitum and at a level near maintenance. Energy, nitrogen, and carbon balances were measured during feeding and fasting. The hay contained 17% crude protein and 46% cell wall constituents (dry matter basis) and the stem, which was 53% of the total, contained 10% crude protein and 64% cell wall. Voluntary dry matter consumption rates of the hay (per kg 3/4) were 103 and 145 g/day by the adults and immatures, respectively; the corresponding values for the stem were 73 and 100 g/day. Maximum daily energy balances were 290-3 16 kJ/kg3/4 for the hay and approximately maintenance for the stem. With both ad libitum and restricted feeding, energy digestibility was higher for the hay (56- 63%) than for the stem fraction (45-51%). The metabolizable fraction of digestible energy was 78% at the low and 82% at the high level of feeding and tended to be greater with the stem than with the hay. At the lower feed intake, metabolizable energy was about 10 and 8 MJ/kg organic matter for whole lucerne and stem respectively. Net availability of metabolizable energy was 64 and 49% for maintenance and gain on the hay, compared with 53 and 34% on the stem. As estimated by difference, the energy values of leaf were: digestible energy, 76%; metabolizable energy, 77% of digestible energy or 12.4 MJ/kg organic matter; net availability of metabolizable energy, 78% for maintenance and 60% for gain. All these figures are for the adult sheep; the immature animals gave values that were lower to various degrees. Consideration of the present results together with published data for other samples of lucerne suggests that the use of equations based on study of grasses to predict the energy values of lucerne is likely to introduce significant bias. Equations for this limited set of data on lucerne are given, gross energy being related to crude protein content, metabolizable energy to crude fibre and net availability of metabolizable energy to metabolizable energy content.

scholarly journals A Meta-Analysis of the Effects of Slow-Release Urea Supplementation on the Performance of Beef Cattle

Animals ◽  
2020 ◽  
Vol 10 (4) ◽  
pp. 657
Author(s):  
Saheed A. Salami ◽  
Colm A. Moran ◽  
Helen E. Warren ◽  
Jules Taylor-Pickard
Keyword(s):  
Beef Cattle ◽  
Slow Release ◽  
Simulation Analysis ◽  
Meta Analysis ◽  
Live Weight ◽  
Protein Nitrogen ◽  
Finishing Cattle ◽  
Positive Effects ◽  
Slow Release Urea ◽  
Finishing Beef Cattle

Slow-release urea (SRU) is a coated non-protein nitrogen (NPN) source for ruminant nutrition. This study applied a meta-analytic technique to quantify the effect of a commercial SRU (Optigen®, Alltech Inc., Nicholasville, KY, USA) on the performance of beef cattle. Data were extracted from 17 experiments and analysed using the random-effects model to estimate the effect size of SRU on dry matter intake (DMI), crude protein intake (CPI), live weight gain (LWG) and feed efficiency (FE) of growing and finishing beef cattle. There was no effect of feeding SRU on the overall DMI and CPI of beef cattle. Dietary inclusion of SRU improved the overall LWG (+92 g/d/head) and FE (+12 g LWG/kg DMI/head) of beef cattle. Notably, SRU supplementation in growing cattle exhibited a better improvement on LWG (130 vs. 60 g/d/head) and FE (18 vs. 8 g LWG/kg DMI/head) compared with finishing cattle. Moreover, SRU showed consistent improvements on the LWG and FE of beef cattle under several study factors. Simulation analysis indicated that positive effects of SRU on LWG and FE improved profitability through reduction in feed cost and reduced the emission intensity of beef production. These results indicate that SRU is a sustainable NPN solution in beef cattle production.

scholarly journals Risk of venous thromboembolism in patients undergoing gastric cancer surgery: protocol for a systematic review and meta-analysis

BMJ Open ◽  
2020 ◽  
Vol 10 (1) ◽  
pp. e033267
Author(s):  
Dengfeng Wang ◽  
Yang Yu ◽  
Pengxian Tao ◽  
Dan Wang ◽  
Yajing Chen ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Systematic Review ◽  
Venous Thromboembolism ◽  
Evaluation Method ◽  
Clinical Decision Making ◽  
Meta Analysis ◽  
Cancer Surgery ◽  
Published Data ◽  
Gastric Cancer Surgery ◽  
Positive Prevention

IntroductionVenous thromboembolism (VTE) is a serious life-threatening complication in patients with gastric cancer. Abnormal coagulation function and tumour-related treatment may contribute to the occurrence of VTE. Many guidelines considered that surgical treatment would put patients with cancer at high risk of VTE, so positive prevention is needed. However, there are no studies that have systematically reviewed the postoperative risk and distribution of VTE in patients with gastric cancer. We thus conduct this systematic review to determine the risk of VTE in patients with gastric cancer undergoing surgery and provide some evidence for clinical decision-making.Methods and analysisStudies reporting the incidence of VTE after gastric cancer surgery will be included. Primary studies of randomised controlled trials, cohort studies, population-based surveys and cross-sectional studies are eligible for this review and only studies published in Chinese and English will be included. We will search the Medline, Embase, Web of Science, CBM, CNKI and Wanfang data from their inception to November 2019. Two reviewers will independently select studies and extract data. The quality of each included study will be assessed with tools corresponding to their study design. Meta-analysis will be used to pool the incidence data from included studies. Heterogeneity of the estimates across studies will be assessed, if necessary, a subgroup analysis will be performed to explore the source of heterogeneity. The Grades of Recommendation, Assessment, Development and Evaluation method is applied to assess the level of evidence obtained from this systematic review.Ethics and disseminationThis proposed systematic review and meta-analysis is based on published data, and thus ethical approval is not required. The results of this review will be sought for publication.PROSPERO registration numberCRD42019144562

scholarly journals What is the digestibility and caloric value of different botanical parts in corn residue to cattle?1

2019 ◽  
Vol 97 (7) ◽  
pp. 3056-3070 ◽  
Author(s):  
Emily A Petzel ◽  
Evan C Titgemeyer ◽  
Alexander J Smart ◽  
Kristin E Hales ◽  
Andrew P Foote ◽  
...  
Keyword(s):  
Organic Matter ◽  
Nutrient Availability ◽  
Heat Production ◽  
Latin Square ◽  
Metabolizable Energy ◽  
Net Energy ◽  
Digestible Energy ◽  
Randomized Design ◽  
Corn Residue ◽  
Completely Randomized Design

AbstractTwo experiments were conducted to measure rates of ruminal disappearance, and energy and nutrient availability and N balance among cows fed corn husks, leaves, or stalks. Ruminal disappearance was estimated after incubation of polyester bags containing husks, leaves or stalks in 2 separate ruminally cannulated cows in a completely randomized design. Organic matter (OM) that initially disappeared was greatest for stalks and least for husks and leaves (P < 0.01), but amounts of NDF that initially disappeared was greatest for husks, intermediate for stalks, and least for leaves (P < 0.01). Amounts of DM and OM that slowly disappeared were greatest in husks, intermediate in leaves, and least in stalks (P < 0.01). However, amounts of NDF that slowly disappeared were greatest in leaves, intermediate in husks, and least in stalks (P < 0.01). Rate of DM and OM disappearance was greater for leaves, intermediate for husks and least for stalks, but rate of NDF disappearance was greatest for stalks, intermediate for leaves, and least for husks (P < 0.01). Energy and nutrient availability in husks, leaves, or stalks were measured by feeding ruminally cannulated cows husk-, leaf-, or stalk-based diets in a replicated Latin square. Digestible energy lost as methane was less (P = 0.02) when cows were fed leaves in comparison to husks or stalks, and metabolizable energy (Mcal/kg DM) was greater (P = 0.03) when cows were fed husks and leaves compared with stalks. Heat production (Mcal/d) was not different (P = 0.74) between husks, leaves, or stalks; however, amounts of heat produced as a proportion of digestible energy intake were less (P = 0.05) among cows fed leaves in comparison to stalks or husks. Subsequently, there was a tendency (P = 0.06) for net energy available for maintenance from leaves (1.42 Mcal/kg DM) to be greater than stalks (0.91 Mcal/kg DM), and husks (1.30 Mcal/kg DM) were intermediate. Nitrogen balance was greater when cows were fed leaves, intermediate for husks, and least for stalks (P = 0.01). Total tract digestion of NDF was greater (P < 0.01) for husks and leaves compared with stalks. Husks had greater (P = 0.04) OM digestibility in comparison to stalks, and leaves were intermediate. Apparently, greater production of methane from husks in comparison to leaves limited amounts of energy available for maintenance from husks even though total-tract nutrient digestion was greatest when cows were fed husks or leaves.

scholarly journals 222 Partitioning of retained energy between protein and fat gain, and heat of product formation and support metabolism in growing beef cattle

2020 ◽  
Vol 98 (Supplement_4) ◽  
pp. 158-158
Author(s):  
Phillip A Lancaster
Keyword(s):  
Linear Regression ◽  
Mixed Models ◽  
Multivariate Regression ◽  
Literature Search ◽  
Energy Use ◽  
Random Variable ◽  
Product Formation ◽  
Metabolizable Energy ◽  
Overall Efficiency ◽  
Metabolizable Energy Intake

Abstract Multiple linear regression inaccurately computes the efficiency of energy use for protein and fat gain. The objective was to quantify efficiency of metabolizable energy use for protein and fat gain along with heats of product formation and support metabolism. A literature search was performed to compile data (31 studies, 214 treatment means) on metabolizable energy intake (MEI) and composition of empty body gain in growing steers and heifers. Data analyses were performed using R statistical package for mixed models with study as random variable. Linear regression of MEI on energy gain (EG; P &lt; 0.001; R2 = 0.627) resulted in an estimate of metabolizable energy for maintenance (MEm) of 156 kcal/kg.75 and efficiency of ME use for gain of 0.518. Linear regression of MEI on EG as protein and fat (P &lt; 0.001; R2 = 0.623) resulted in an estimate of MEm of 149 kcal/kg.75, and efficiency of protein (kp) and fat (kf) gain of 0.274 and 0.585, respectively, resulting in an overall efficiency of EG of 0.520. Nonlinear regression model (EG = kg*(MEI-MEm)) resulted in an estimate of MEm of 103 kcal/kg.75 and efficiency of EG of 0.342. The heat of product formation was assumed to be 0.48 (1 – 0.52) and the heat of support metabolism (HiEv) 0.18 (0.52 – 0.34). Multivariate regression was used to fit simultaneous models for EG as protein (EGp = (kp+HiEvp)*k*MEA) and fat (EGf = (kf+(0.18-HiEvp))*(1-k)*MEA). Estimates (P &lt; 0.001) of kp and kf were 0.12 ± 0.01 and 0.63 ± 0.02, and HiEvp and proportion of ME available for protein gain (k) were 0.11 ± 0.01 and 0.75 ± 0.01, respectively. The heat of product formation and support metabolism for protein were 0.77 and 0.11, and fat were 0.30 and 0.07, respectively. In conclusion, efficiency of ME use for protein was lesser than for fat gain, and heat of support metabolism was greater for protein than fat gain.

A systematic review and meta-analysis on endovascular treatment as an attractive alternative for acute superior mesenteric venous thrombosis

Vascular ◽  
2021 ◽  
pp. 170853812199127
Author(s):  
Lixin Wang ◽  
Enci Wang ◽  
Fei Liu ◽  
Wei Zhang ◽  
Xiaolong Shu ◽  
...  
Keyword(s):  
Systematic Review ◽  
Treatment Group ◽  
Conservative Treatment ◽  
Venous Thrombosis ◽  
Endovascular Treatment ◽  
Meta Analysis ◽  
Statistical Significance ◽  
Published Data ◽  
Mesenteric Venous Thrombosis ◽  
Surgery Group

Objective This systematic review and meta-analysis evaluated the published data on the efficacy and safety of therapies for superior mesenteric venous thrombosis (SMVT), aiming to provide a reference and set of recommendations for clinical treatment. Methods Relevant databases were searched for studies published from 2000 to June 2020 on SMVT treated with conservative treatment, surgical treatment, or endovascular approach. Different treatment types were grouped for analysis and comparison, and odds ratios with corresponding 95% confidence intervals were calculated. The outcomes were pooled using meta-analytic methods and presented by forest plots. Results Eighteen articles, including eight on SMVT patients treated with endovascular therapies, were enrolled. The treatment effectiveness was compared between different groups according to the change of symptoms, the occurrence of complications, and mortality as well. The conservative treatment group had better efficacy compared to the surgery group (89.0% vs. 78.6%, P <0.05), and the one-year survival rate was also higher (94.4% vs. 80.0%, P >0.05), but without statistical significance. As for endovascular treatment, the effectiveness was significantly higher than the surgery group (94.8% vs. 75.2%, P <0.05), and the conservative treatment group as well (93.3% vs. 86.3%, P >0.05), which still requires further research for the lack of statistical significance. Conclusions Present findings indicate that anticoagulation, as conservative treatment should be the preferred clinical option in the clinic for SMVT, due to its better curative effect compared to other treatment options, including lower mortality, fewer complications, and better prognosis. Moreover, endovascular treatment is a feasible and promising approach that is worth in-depth research, for it is less invasive than surgery and has relatively better effectiveness, thus can provide an alternative option for SMVT treatment and may be considered as a reliable method in clinical.

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