Determination and prediction of digestible and metabolizable energy concentrations in byproduct feed ingredients fed to growing pigs

OBJECTIVE: An experiment was conducted to determine digestible energy (DE) and metabolizable energy (ME) of different byproduct feed ingredients fed to growing pigs, and to generate prediction equations for the DE and ME in feed ingredients

Bibliographische Detailangaben
Veröffentlicht in:Asian-Australasian journal of animal sciences. - 1998. - 30(2017), 4 vom: 12. Apr., Seite 546-553
1. Verfasser: Son, Ah Reum (VerfasserIn)
Weitere Verfasser: Park, Chan Sol, Kim, Beob Gyun
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2017
Zugriff auf das übergeordnete Werk:Asian-Australasian journal of animal sciences
Schlagworte:Journal Article Feedstuff Prediction Models Protein Supplements Swine
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245 1 0 |a Determination and prediction of digestible and metabolizable energy concentrations in byproduct feed ingredients fed to growing pigs 
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520 |a OBJECTIVE: An experiment was conducted to determine digestible energy (DE) and metabolizable energy (ME) of different byproduct feed ingredients fed to growing pigs, and to generate prediction equations for the DE and ME in feed ingredients 
520 |a METHODS: Twelve barrows with an initial mean body weight of 31.8 kg were individually housed in metabolism crates that were equipped with a feeder and a nipple drinker. A 12×10 incomplete Latin square design was employed with 12 dietary treatments, 10 periods, and 12 animals. A basal diet was prepared to mainly contain the corn and soybean meal (SBM). Eleven additional diets were formulated to contain 30% of each test ingredient. All diets contained the same proportion of corn:SBM ratio at 4.14:1. The difference procedure was used to calculate the DE and ME in experimental ingredients. The in vitro dry matter disappearance for each test ingredient was determined 
520 |a RESULTS: The DE and ME values in the SBM sources were greater (p<0.05) than those in other ingredients except high-protein distillers dried grains. However, DE and ME values in tapioca distillers dried grains (TDDG) were the lowest (p<0.05). The most suitable regression equations for the DE and ME concentrations (kcal/kg on the dry matter [DM] basis) in the test ingredients were: DE = 5,528-(156×ash)-(32.4×neutral detergent fiber [NDF]) with root mean square error = 232, R2 = 0.958, and p<0.001; ME = 5,243-(153 ash)-(30.7×NDF) with root mean square error = 277, R2 = 0.936, and p<0.001. All independent variables are in % on the DM basis 
520 |a CONCLUSION: The energy concentrations were greater in the SBM sources and were the least in the TDDG. The ash and NDF concentrations can be used to estimate the energy concentrations in the byproducts from oil-extraction and distillation processes 
650 4 |a Journal Article 
650 4 |a Feedstuff 
650 4 |a Prediction Models 
650 4 |a Protein Supplements 
650 4 |a Swine 
700 1 |a Park, Chan Sol  |e verfasserin  |4 aut 
700 1 |a Kim, Beob Gyun  |e verfasserin  |4 aut 
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773 1 8 |g volume:30  |g year:2017  |g number:4  |g day:12  |g month:04  |g pages:546-553 
856 4 0 |u http://dx.doi.org/10.5713/ajas.16.0607  |3 Volltext 
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