scholarly journals Validating prediction equations of metabolizable energy of soybean meal for growing pigs

2015 ◽  
Vol 36 (6Supl2) ◽  
pp. 4541
Author(s):  
Tiago Junior Pasquetti ◽  
Paulo Cesar Pozza ◽  
Newton Tavares Escocard de Oliveira ◽  
Ricardo Vianna Nunes ◽  
Doglas Batista Lazzeri ◽  
...  
Keyword(s):  
Soybean Meal ◽  
Crude Protein ◽  
Prediction Models ◽  
Growing Pigs ◽  
Metabolizable Energy ◽  
Neutral Detergent Fiber ◽  
Linear Regression Models ◽  
Prediction Equations ◽  
Acid Detergent Fiber ◽  
Calcium Phosphorus

The aim of this study was to evaluate equations to predict the metabolizable energy (ME) of soybean meal (SBM) for swine. Seven SBM were used, which were analyzed for dry matter, crude protein, ether extract, neutral detergent fiber (NDF), acid detergent fiber (ADF), ash, calcium, phosphorus, solubility in potassium hydroxide (KOH) and urease index. To determine the ME of SBM, 32 barrows, with an average initial weight of 29.01 ± 3.64 kg, were used and distributed in a randomized blocks design, with seven treatments and four replicates. To validate the prediction equations, linear regression models were adjusted, using observed values of ME (metabolism trial) as a function of the estimated ME (obtained by applying the chemical composition of the SBM in selected equations found in the literature). The existence of regression was evaluated by the “t” test, partially applied to each parameter (?0 and ?1). The validation of the prediction models of first degree was obtained by accepting the joint null hypothesis ?0 = 0 and ?1 = 1. The equations ME = 5.42 - 17.2FDN - 19.4MM + 0.709GE and ME= 1099 + 0.740GE - 5.5MM - 3.7NDF are effective for estimating the ME of SBM for growing pigs.

scholarly journals Validating prediction equations of metabolizable energy of soybean meal for growing pigs

2015 ◽  
Vol 36 (6Supl2) ◽  
pp. 4541
Author(s):  
Tiago Junior Pasquetti ◽  
Paulo Cesar Pozza ◽  
Newton Tavares Escocard de Oliveira ◽  
Ricardo Vianna Nunes ◽  
Doglas Batista Lazzeri ◽  
...  
Keyword(s):  
Soybean Meal ◽  
Crude Protein ◽  
Prediction Models ◽  
Growing Pigs ◽  
Metabolizable Energy ◽  
Neutral Detergent Fiber ◽  
Linear Regression Models ◽  
Prediction Equations ◽  
Acid Detergent Fiber ◽  
Calcium Phosphorus

<p>The aim of this study was to evaluate equations to predict the metabolizable energy (ME) of soybean meal (SBM) for swine. Seven SBM were used, which were analyzed for dry matter, crude protein, ether extract, neutral detergent fiber (NDF), acid detergent fiber (ADF), ash, calcium, phosphorus, solubility in potassium hydroxide (KOH) and urease index. To determine the ME of SBM, 32 barrows, with an average initial weight of 29.01 ± 3.64 kg, were used and distributed in a randomized blocks design, with seven treatments and four replicates. To validate the prediction equations, linear regression models were adjusted, using observed values of ME (metabolism trial) as a function of the estimated ME (obtained by applying the chemical composition of the SBM in selected equations found in the literature). The existence of regression was evaluated by the “t” test, partially applied to each parameter (?0 and ?1). The validation of the prediction models of first degree was obtained by accepting the joint null hypothesis ?0 = 0 and ?1 = 1. The equations ME = 5.42 - 17.2FDN - 19.4MM + 0.709GE and ME= 1099 + 0.740GE - 5.5MM - 3.7NDF are effective for estimating the ME of SBM for growing pigs.</p>

scholarly journals Development and Validation of Equations for Predicting the Metabolizable Energy Value of Double-Low Rapeseed Cake for Growing Pigs

Animals ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 1168
Author(s):  
Lu Wang ◽  
Qile Hu ◽  
Peili Li ◽  
Changhua Lai ◽  
Defa Li ◽  
...  
Keyword(s):  
Body Weight ◽  
Soybean Meal ◽  
Block Design ◽  
Basal Diet ◽  
Prediction Equation ◽  
Growing Pigs ◽  
Metabolizable Energy ◽  
Neutral Detergent Fiber ◽  
Chemical Compositions ◽  
Initial Body Weight

The study was conducted to develop and validate an equation to predict the metabolizable energy (ME) of double-low rapeseed cakes (DLRSC) for growing pigs based on their chemical compositions. In Experiment 1, 66 growing pigs (initial body weight 36.6 ± 4.1 kg) were allotted randomly to a completely randomized design with 11 diets. The diets included a corn–soybean meal basal diet and 10 test diets containing 19.22% DLRSC supplemented at the expense of corn, soybean meal, and lysine. Neutral detergent fiber (NDF), crude fiber (CF), and gross energy (GE) were the best predictors to determine ME. The best-fit prediction equation of ME (MJ/kg) was ME = 9.33 − 0.09 × NDF − 0.25 × CF + 0.59 × GE (R2 = 0.93). In Experiment 2, a total of 144 growing pigs (initial body weight 29.7 ± 2.7 kg), with six pigs per pen and six pens per treatment, were assigned randomly to four treatments in a completely randomized block design for a 28-day feeding trial. A corn–soybean meal basal diet was prepared, and three additional diets were formulated by adding 7%, 14%, and 21% DLRSC to the basal diet at the expense of soybean meal. All diets were formulated to provide equal standardized ileal digestibility (SID) Lys/ME ratio and SID essential amino acids/SID Lys ratio. Increasing dietary levels of DLRSC had no effect on average daily feed intake, average daily gain, and feed-to-gain ratio. The caloric efficiency of ME (31.83, 32.44, 31.95, and 32.69 MJ/kg, respectively) was not changed by increasing the dietary concentration of DLRSC. Increasing dietary levels of DLRSC linearly reduced (p < 0.05) the concentrations of triiodothyronine and tetraiodothyronine in serum, as well as apparent total tract digestibility of DM, GE, crude protein, acid detergent fiber, and organic matter of the diet. In conclusion, the ME prediction equation obtained in Experiment 1 accurately estimates the ME value of DLRSC fed to growing pigs.

scholarly journals Energy values and chemical composition of spirulina (Spirulina platensis) evaluated with broilers

2011 ◽  
Vol 40 (5) ◽  
pp. 992-996 ◽  
Author(s):  
Renata Ribeiro Alvarenga ◽  
Paulo Borges Rodrigues ◽  
Vinícius de Souza Cantarelli ◽  
Márcio Gilberto Zangeronimo ◽  
José Walter da Silva Júnior ◽  
...  
Keyword(s):  
Soybean Meal ◽  
Spirulina Platensis ◽  
Crude Protein ◽  
Metabolizable Energy ◽  
Neutral Detergent Fiber ◽  
Mineral Matter ◽  
Randomized Design ◽  
Apparent Metabolizable Energy ◽  
Gross Energy ◽  
Completely Randomized Design

The objective of this study was to determine the chemical and energy composition of spirulina (Spirulina platensis), the nutrient metabolizability coefficients, and the values of apparent metabolizable energy (AME) and the apparent metabolizable energy corrected for nitrogen balance (AMEn) in broilers. A digestibility trial was carried out by using total excreta collection method, with 90 Cobb 500 lineage chicks, with initial weight of 256 ± 5 g at 11 days of age. Birds were allotted in metabolic cages for 10 days, distributed in a completely randomized design, with three treatments and six repetitions with five birds each. Diets consisted on a reference-ration based on corn and soybean meal and two test diets, one containing spirulina (30%) and the other one with soybean meal (30%). Spiruline was superior to soybean meal for contents of dry matter (DM), gross energy (9.60%), crude protein (26.56%), ether extract (54.45%), mineral matter (42.77%), calcium (100%) and total phosphorus (130.77%) and also for most amino acids, except lysine, glutamate, histidine and proline. Nevertheless, spiruline presented lower values of gross fiber (83.95%), acid detergent fiber (85.12%) and neutral detergent fiber (6.15). The AME and AMEn values (kcal/kg of DM) were, respectively, 2,906 and 2,502 for the spirulina and 2,646 and 2,340 for the soybean meal and AMEn of spirulina was 6.92% higher than soybean meal.

scholarly journals The effect of stage of regrowth on the physical composition and nutritive value of the various vertical strata of kikuyu (Cenchrus clandestinus) pastures

2020 ◽  
Vol 8 (2) ◽  
pp. 141-146
Author(s):  
Marcelo A. Benvenutti ◽  
Craig Findsen ◽  
Jean V. Savian ◽  
David G. Mayer ◽  
David G. Barber
Keyword(s):  
Crude Protein ◽  
Nutritive Value ◽  
Metabolizable Energy ◽  
Neutral Detergent Fiber ◽  
Grazing Management ◽  
Soluble Carbohydrates ◽  
Acid Detergent Fiber ◽  
Herbage Quality ◽  
Physical Composition

A plot study was conducted at the Gatton Research Dairy, Queensland, Australia, to quantify the effects of 5 regrowth periods (9, 11, 14, 16 and 18 days) and 4 vertical strata on the composition and nutritive value of kikuyu (Cenchrus clandestinus) pastures using a block factorial design with 4 replicates. Pasture samples were analyzed for crude protein (CP), ethanol-soluble carbohydrates (ESC), acid detergent fiber (ADF), neutral detergent fiber (aNDFom), in vitro indigestible neutral detergent fibre (iNDF240) and minerals. Metabolizable energy (ME) was then calculated from the concentrations of other nutrients. Regardless of the stage of regrowth, stems were located mainly in the bottom 1 or 2 strata, while leaves were present mainly in the top 2 or 3 strata. CP, ESC and ME declined, but aNDFom, ADF and iNDF240 increased with stage of regrowth and from top to bottom of the swards (P<0.05). While herbage quality variables were affected by both factors, vertical stratum had a much larger impact on quality than stage of regrowth. These results indicate that grazing management of kikuyu pastures should be based not only on stage of regrowth but also on level of defoliation, as both have strong impacts on the nutritive value of the consumed forage.

scholarly journals Evaluation of thermo-mechanical and microbial-facilitated processing on the chemical composition of soybean meal

2021 ◽  
Vol 902 (1) ◽  
pp. 012026
Author(s):  
W P S Suprayogi ◽  
A Ratriyanto ◽  
N Akhirini ◽  
R F Hadi ◽  
W Setyono ◽  
...  
Keyword(s):  
Chemical Composition ◽  
Soybean Meal ◽  
Crude Protein ◽  
Neutral Detergent Fiber ◽  
Acid Detergent Fiber ◽  
Conditioning Treatment ◽  
Significant Difference ◽  
Fiber Fractions ◽  
Heating Treatment ◽  
Fungal Inoculation

Abstract A laboratory experiment was conducted to examine the effects of microbial fermentation using Bacillus subtilis and Aspergillus oryzae on the chemical composition of a commercial soybean meal (SBM). Five quadruplicate samples of SBM were subjected to four treatments with one batch serves as a control. The treatments were steam conditioning treatment (P1) where the other three groups were further fermented with B. subtilis (P2), A. oryzae (P3), and the combination of B. subtilis + A. oryzae (P4). The results showed that bacterial and fungal inoculation increased crude protein (CP) content when compared to control (p<0.05). In addition, fiber fractions including neutral detergent fiber (NDF) and acid detergent fiber (ADF) were concomitantly decreased with fermentation (p<0.05). In this study, no significant difference was observed on CP and NDF content with heating treatment (P1, p>0.05). However, this treatment decreased ADF content (p<0.05). Ether extract (EE), ash, non-fibrous carbohydrates (NFC), and total phosphorus contents were not affected by the treatments. To conclude, fermentation either with bacterial or fungal inoculants was effective to improve the chemical composition of SBM as indicated by increasing CP and decreasing fiber contents of SBM.

scholarly journals Predicting the metabolizable energy of first and second corn harvests for piglets

2017 ◽  
Vol 41 (6) ◽  
pp. 683-691 ◽  
Author(s):  
Lucas Antonio Costa Esteves ◽  
Newton Tavares Escocard de Oliveira ◽  
Laura Marcela Diaz Huepa ◽  
Silvia Letícia Ferreira ◽  
Leandro Dalcin Castilha ◽  
...  
Keyword(s):  
Crude Protein ◽  
Dry Matter ◽  
Block Design ◽  
Metabolizable Energy ◽  
Neutral Detergent Fiber ◽  
Acid Detergent Fiber ◽  
Randomized Block Design ◽  
Gross Energy ◽  
Swine Diets ◽  
Best Fit

ABSTRACT Corn is one of the primary ingredients in swine diets, but there is a variation in its chemical composition and metabolizable energy (ME) content. Therefore, faster methods are required that can determine more accurate ME values to improve piglet diets. This study determined and predicted the ME of corn from first and second harvests for piglets. Two experiments were conducted to determine the ME values for 18 corn batches, evaluating corn from first and second harvests. The corn batches were analysed to determine the concentration of dry matter (DM), starch (ST), neutral detergent fiber (NDF), acid detergent fiber (ADF), crude protein (CP), ether extract (EE), ash, calcium (Ca), phosphorus (P) and gross energy (GE). To determine the ME values, 40 piglets were used in each experiment, grouped into a randomized block design with four replicates. The ME of the corn from the first and second crops ranged from 3281 to 3509 and from 3143 to 3652 kcal/kg on an as-fed basis, respectively, and the fitted equations to predict the ME presented a low R2. The best fit equation for predicting the ME of corn for piglets was determined to be ME= - 6306.15 + 400.652ADF + 117.286ST + 24924.7Ca + 2489.66P - 148.41CP (R2=0.44) for the first harvest; ME= -7560.08 + 2.66895GE - 120.69ADF (R2=0.48) for the second harvest; and ME= 2848.95 + 68.5714NDF + 161.938EE - 5563.5Ca - 1454.2P (R2=0.41) for the joint harvest.

scholarly journals PSIV-21 Pellet processing reduces variability of corn soybean meal-based diet digestibility in growing pigs

2020 ◽  
Vol 98 (Supplement_3) ◽  
pp. 175-175
Author(s):  
Élisabeth Chassé ◽  
Frédéric Guay ◽  
Marie-Pierre Létourneau-Montminy
Keyword(s):  
Amino Acids ◽  
Soybean Meal ◽  
Crude Protein ◽  
Dry Matter ◽  
Crossover Design ◽  
Growing Pigs ◽  
Distal Ileum ◽  
Ileal Digestibility ◽  
Pelleted Diet ◽  
The One

Abstract This study was conducted to determine the effect of pelleting on the digestibility of corn-soybean meal-based diet in growing pigs. Two trials with 6 pigs cannulated at the distal ileum were conducted. In each trial, pigs were assigned to each treatment following a crossover design. In each experiment, the same diet, composed of corn and soybean meal with 10% wheat from two different feed mills, was served in pellet or mash form. Pelleting allowed an increase in digestibility in one of the trials. Apparent ileal digestibility (AID) of dry matter (DM), crude protein (CP) and digestible energy (DE) were improved with pelleting by 8, 12 and 9% (P&lt; 0.01). The AID of amino acids (AA) was also improved (P&lt; 0.05). Apparent total tract digestibility (ATTD) was increased by pelleting in DM, CP and DE by 5, 7 and 6% respectively (P&lt; 0.01). The digestibility of the mash diet in experiment 1 was lower than in the pelleted diet in the experiment 1 and both diets in experiment 2 as shown by the interaction Pelleting X Trial which was significant for the AID and ATTD of DM, CP and DE (P&lt; 0.01). Therefore, in experiment 1, pelleting allows to improve the digestibility of diet to the same level as in experiment 2. The AID of CP was higher by 37% in the mash diet from the second experiment compared to the one in the first experiment. Even though the same ingredients were chosen in the two experiments, this shows the variability in digestibility existing between different feed mills and ingredient sources. This difference was not observed in pelleted diets. The results obtained in these two trials show that pelleting can reduce the variability of digestibility and then give a good digestibility of diets even if the ingredients are of different quality or sources.

scholarly journals Collaborative study to evaluate the indigestible neutral detergent fiber and indigestible acid detergent fiber contents in feeds by in situ procedure

2016 ◽  
Vol 37 (4Supl1) ◽  
pp. 2589
Author(s):  
Marjorrie Augusto de Souza ◽  
Edenio Detmann ◽  
Gabriel Cipriano Rocha ◽  
Marcia De Oliveira Franco ◽  
Erick Darlisson Batista ◽  
...  
Keyword(s):  
Soybean Meal ◽  
Collaborative Study ◽  
Neutral Detergent Fiber ◽  
Acid Detergent Fiber ◽  
Animal Science ◽  
Percentage Points ◽  
Individual Evaluation ◽  
The Individual ◽  
Standardization Of Procedures

The objective of this collaborative study was to evaluate the indigestible neutral detergent fiber (iNDF) and indigestible acid detergent fiber (iADF) content in feeds in six laboratories from institutions linked to the National Institute of Science and Technology in Animal Science (INCT-CA). Six feeds were evaluated: signal grass hay, sugarcane, corn silage, soybean meal, corn and citrus pulp. Estimated levels of iNDF and iADF proved to be dependent on the laboratory in which the analysis was performed. It was found that differences between laboratories ranged from 2.40 percentage points for soybean meal to 8.05 percentage points for sugarcane for iNDF analysis and from 1.79 percentage points for corn to 10.06 percentage points for hay for iADF analysis. It was observed that the individual evaluation of each material, the total random variation of the results between laboratories ranged from 88.75 to 96.77% and 88.75 to 98.40% for iNDF and iADF analysis, respectively. The iNDF and iADF levels are dependent on the interaction effect between the evaluated material and laboratory and have low reproducibility; this may be a consequence of the differences between the methods practiced by each laboratory, demonstrating lack of standardization of procedures used by the laboratories.

scholarly journals Glycerol inclusion levels in corn and sunflower silages

2014 ◽  
Vol 38 (5) ◽  
pp. 497-505 ◽  
Author(s):  
Adriana de Souza Martins ◽  
Juliane Ribeiro de Oliveira ◽  
Marili Lopes Lederer ◽  
José Luís Moletta ◽  
Shivelly Los Galetto ◽  
...  
Keyword(s):  
Seasonal Cycle ◽  
Crude Protein ◽  
Dry Matter ◽  
Nutritional Value ◽  
High Efficiency ◽  
Corn Silage ◽  
Neutral Detergent Fiber ◽  
Acid Detergent Fiber ◽  
Ph Values ◽  
Four Levels

Due to the seasonal cycle of forage, the use of silage to feed animals provides nutrients throughout the year. However, its quality can be improved with the inclusion of additives and other products. Glycerol is a rich source of energy and present a high efficiency of utilization by animals. The purpose of this work was to evaluate the effect of glycerol inclusion on the chemical and fermentation characteristics of corn and sunflower silages. Two silage sources (maize and sunflower) were used and four levels of glycerol inclusion (0, 15, 30 and 45%) based on dry matter were carried out. The experimental design was completely randomized in a 2 x 4 factorial arrangement with five replications. The pH values and chemical composition of corn and sunflower silages were determined. In both silages there was increment of dry matter, non-fiber carbohydrates and total digestible nutrients (TDN) added to a reduction of crude protein, neutral detergent fiber and acid detergent fiber due to the glycerol inclusion. The corn silage required 45% glycerol to achieve the TDN level of the sunflower silage. The glycerol addition contributed to the increase in the nutritional value, offsetting loss of quality in the ensiling process.

scholarly journals Accuracy of predicting chemical body composition of growing pigs using dual-energy X-ray absorptiometry

2020 ◽  
Author(s):  
Claudia Kasper ◽  
Patrick Schlegel ◽  
Isabel Ruiz-Ascacibar ◽  
Peter Stoll ◽  
Giuseppe Bee
Keyword(s):  
Body Composition ◽  
Crude Protein ◽  
Imaging Techniques ◽  
Dual Energy ◽  
Growing Pigs ◽  
Regression Equations ◽  
Chemical Analyses ◽  
Prediction Equations ◽  
Animal Science ◽  
X Ray

AbstractStudies in animal science assessing nutrient and energy efficiency or determining nutrient requirements necessitate gathering exact measurements of body composition or body nutrient contents. Wet chemical analysis methods or standardized dissection are commonly applied, but both are destructive. Harnessing human medical imaging techniques for animal science can enable repeated measurements of individuals over time and reduce the number of individuals required for research. Among imaging techniques, dual-energy X-ray absorptiometry (DXA) is particularly promising. However, the measurements obtained with DXA do not perfectly match dissections or chemical analyses, requiring the adjustment of the DXA via calibration equations. Several calibration regressions have been published, but comparative studies are pending. Thus, it is currently not clear whether existing regression equations can be directly used to convert DXA measurements into chemical values or whether each individual DXA device will require its own calibration. Our study builds prediction equations that relate body composition to the content of single nutrients in growing entire male pigs (body weight range 20-100 kg) as determined by both DXA and chemical analyses, with R2 ranging between 0.89 for ash and 0.99 for water and crude protein. Moreover, we show that the chemical composition of the empty body can be satisfactorily determined by DXA scans of carcasses, with the prediction error rCV ranging between 4.3% for crude protein and 12.6% for ash. Finally, we compare existing prediction equations for pigs of a similar range of body weights with the equations derived from our DXA measurements and evaluate their fit with our chemical analyses data. We found that existing equations for absolute contents that were built using the same DXA beam technology predicted our data more precisely than equations based on different technologies and percentages of fat and lean mass. This indicates that the creation of generic regression equations that yield reliable estimates of body composition in pigs of different growth stages, sexes and genetic breeds could be achievable in the near future. DXA may be a promising tool for high-throughput phenotyping for genetic studies, because it efficiently measures body composition in a large number and wide array of animals.

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