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Regression analysis to predict growth performance from dietary net energy in growing-finishing pigs.

Data from 41 trials with multiple energy levels (285 observations) were used in a meta-analysis to predict growth performance based on dietary NE concentration. Nutrient and energy concentrations in all diets were estimated using the NRC ingredient library. Predictor variables examined for best fit... Full description

Journal Title: Journal of animal science June 2015, Vol.93(6), pp.2826-2839
Main Author: Nitikanchana, S
Other Authors: Dritz, S S , Tokach, M D , Derouchey, J M , Goodband, R D , White, B J
Format: Electronic Article Electronic Article
Language: English
Subjects:
ID: E-ISSN: 1525-3163 ; DOI: 1525-3163 ; DOI: 10.2527/jas.2015-9005
Link: http://search.proquest.com/docview/1691595054/?pq-origsite=primo
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title: Regression analysis to predict growth performance from dietary net energy in growing-finishing pigs.
format: Article
creator:
  • Nitikanchana, S
  • Dritz, S S
  • Tokach, M D
  • Derouchey, J M
  • Goodband, R D
  • White, B J
subjects:
  • Animal Feed–Analysis
  • Animal Nutritional Physiological Phenomena–Physiology
  • Animals–Veterinary
  • Body Composition–Analysis
  • Diet–Analysis
  • Dietary Fats–Physiology
  • Dietary Fiber–Metabolism
  • Energy Metabolism–Chemistry
  • Ileum–Growth & Development
  • Models, Biological–Chemistry
  • Regression Analysis–Chemistry
  • Soybeans–Chemistry
  • Sus Scrofa–Chemistry
  • Swine–Chemistry
  • Zea Mays–Chemistry
  • Dietary Fats
  • Dietary Fiber
ispartof: Journal of animal science, June 2015, Vol.93(6), pp.2826-2839
description: Data from 41 trials with multiple energy levels (285 observations) were used in a meta-analysis to predict growth performance based on dietary NE concentration. Nutrient and energy concentrations in all diets were estimated using the NRC ingredient library. Predictor variables examined for best fit models using Akaike information criteria included linear and quadratic terms of NE, BW, CP, standardized ileal digestible (SID) Lys, crude fiber, NDF, ADF, fat, ash, and their interactions. The initial best fit models included interactions between NE and CP or SID Lys. After removal of the observations that fed SID Lys below the suggested requirement, these terms were no longer significant. Including dietary fat in the model with NE and BW significantly improved the G:F prediction model, indicating that NE may underestimate the influence of fat on G:F. The meta-analysis indicated that, as long as diets are adequate for other nutrients (i.e., Lys), dietary NE is adequate to predict changes in ADG across different dietary ingredients and conditions. The analysis indicates that ADG increases with increasing dietary NE and BW but decreases when BW is above 87 kg. The G:F ratio improves with increasing dietary NE and fat but decreases with increasing BW. The regression equations were then evaluated by comparing the actual and predicted performance of 543 finishing pigs in 2 trials fed 5 dietary treatments, included 3 different levels of NE by adding wheat middlings, soybean hulls, dried distillers grains with solubles (DDGS; 8 to 9% oil), or choice white grease (CWG) to a corn-soybean meal-based diet. Diets were 1) 30% DDGS, 20% wheat middlings, and 4 to 5% soybean hulls (low energy); 2) 20% wheat middlings and 4 to 5% soybean hulls (low energy); 3) a corn-soybean meal diet (medium energy); 4) diet 2 supplemented with 3.7% CWG to equalize the NE level to diet 3 (medium energy); and 5) a corn-soybean meal diet with 3.7% CWG (high energy). Only small differences were observed between predicted and observed values of ADG and G:F except for the low-energy diet containing the greatest fiber content (30% DDGS diet), where ADG and G:F were overpredicted by 3 to 6%. Therefore, the prediction equations provided a good estimation of the growth rate and feed efficiency of growing-finishing pigs fed different levels of dietary NE except for the pigs fed the low-energy diet containing the greatest fiber content.
language: eng
source:
identifier: E-ISSN: 1525-3163 ; DOI: 1525-3163 ; DOI: 10.2527/jas.2015-9005
fulltext: fulltext
issn:
  • 15253163
  • 1525-3163
url: Link


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titleRegression analysis to predict growth performance from dietary net energy in growing-finishing pigs.
creatorNitikanchana, S ; Dritz, S S ; Tokach, M D ; Derouchey, J M ; Goodband, R D ; White, B J
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subjectAnimal Feed–Analysis ; Animal Nutritional Physiological Phenomena–Physiology ; Animals–Veterinary ; Body Composition–Analysis ; Diet–Analysis ; Dietary Fats–Physiology ; Dietary Fiber–Metabolism ; Energy Metabolism–Chemistry ; Ileum–Growth & Development ; Models, Biological–Chemistry ; Regression Analysis–Chemistry ; Soybeans–Chemistry ; Sus Scrofa–Chemistry ; Swine–Chemistry ; Zea Mays–Chemistry ; Dietary Fats ; Dietary Fiber
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descriptionData from 41 trials with multiple energy levels (285 observations) were used in a meta-analysis to predict growth performance based on dietary NE concentration. Nutrient and energy concentrations in all diets were estimated using the NRC ingredient library. Predictor variables examined for best fit models using Akaike information criteria included linear and quadratic terms of NE, BW, CP, standardized ileal digestible (SID) Lys, crude fiber, NDF, ADF, fat, ash, and their interactions. The initial best fit models included interactions between NE and CP or SID Lys. After removal of the observations that fed SID Lys below the suggested requirement, these terms were no longer significant. Including dietary fat in the model with NE and BW significantly improved the G:F prediction model, indicating that NE may underestimate the influence of fat on G:F. The meta-analysis indicated that, as long as diets are adequate for other nutrients (i.e., Lys), dietary NE is adequate to predict changes in ADG across different dietary ingredients and conditions. The analysis indicates that ADG increases with increasing dietary NE and BW but decreases when BW is above 87 kg. The G:F ratio improves with increasing dietary NE and fat but decreases with increasing BW. The regression equations were then evaluated by comparing the actual and predicted performance of 543 finishing pigs in 2 trials fed 5 dietary treatments, included 3 different levels of NE by adding wheat middlings, soybean hulls, dried distillers grains with solubles (DDGS; 8 to 9% oil), or choice white grease (CWG) to a corn-soybean meal-based diet. Diets were 1) 30% DDGS, 20% wheat middlings, and 4 to 5% soybean hulls (low energy); 2) 20% wheat middlings and 4 to 5% soybean hulls (low energy); 3) a corn-soybean meal diet (medium energy); 4) diet 2 supplemented with 3.7% CWG to equalize the NE level to diet 3 (medium energy); and 5) a corn-soybean meal diet with 3.7% CWG (high energy). Only small differences were observed between predicted and observed values of ADG and G:F except for the low-energy diet containing the greatest fiber content (30% DDGS diet), where ADG and G:F were overpredicted by 3 to 6%. Therefore, the prediction equations provided a good estimation of the growth rate and feed efficiency of growing-finishing pigs fed different levels of dietary NE except for the pigs fed the low-energy diet containing the greatest fiber content.
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