Literature DB >> 26857224

Determination of the energy value of corn distillers dried grains with solubles containing different oil levels when fed to growing pigs.

Z-C Li1, P Li1, D-W Liu2, D-F Li1, F-L Wang1, Y-B Su1, Z-P Zhu3, X-S Piao1.   

Abstract

This experiment used indirect calorimetry to determine the net energy (NE) content of five corn distillers dried grains with solubles (corn DDGS) containing different oil levels and to compare the NE obtained using indirect calorimetry with that calculated using previously published prediction equations. There were two samples of high-oil DDGS, one sample of medium-oil DDGS and two samples of low-oil DDGS. Twelve barrows (initial BW of 32.8 ± 2.0 kg) were used in a repeated 3 × 6 Youden square design with three periods and six diets. The diets were comprised of a corn-soybean meal basal diet and five diets containing 29.25% of one of the corn DDGS added at the expense of corn and soybean meal. During each period, the pigs were individually housed in metabolism crates for 16 days which included 7 days for adaption to feed and environmental conditions. On day 8, the pigs were transferred to respiration chambers and fed one of the six diets at 2300 kJ ME/kg BW0.6 /day. Faeces and urine were collected from day 9 to 13 and heat production (HP) was also measured. From day 14 to 15, the pigs were fed 893 kJ ME/kg BW0.6 /day to allow them to adapt from the fed to the fasted state. On the last day of each period (day 16), the pigs were fasted and fasting HP was measured. The digestible energy value was 16.0, 17.1 and 15.3 MJ/kg DM, the metabolizable energy value was 14.6, 15.5 and 13.7 MJ/kg DM and the NE value was 10.7, 11.0 and 9.4 MJ/kg DM, for the high-oil, medium-oil and low-oil corn DDGS, respectively. The NE obtained with indirect calorimetry in the present study did not differ from values calculated using previously published prediction equations. Journal of Animal Physiology and Animal Nutrition
© 2016 Blackwell Verlag GmbH.

Entities:  

Keywords:  corn DDGS; indirect calorimetry; net energy; prediction equations

Mesh:

Substances:

Year:  2016        PMID: 26857224     DOI: 10.1111/jpn.12445

Source DB:  PubMed          Journal:  J Anim Physiol Anim Nutr (Berl)        ISSN: 0931-2439            Impact factor:   2.130


  10 in total

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2.  A new source of high-protein distillers dried grains with solubles (DDGS) has greater digestibility of amino acids and energy, but less digestibility of phosphorus, than de-oiled DDGS when fed to growing pigs.

Authors:  Minoy Cristobal; Jessica P Acosta; Su A Lee; Hans H Stein
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3.  Determination of the available energy, standardized ileal digestibility of amino acids of fermented corn germ meal replacing soybean meal in growing pig diets.

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4.  Net energy of corn, soybean meal and rapeseed meal in growing pigs.

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5.  Integrative analysis of indirect calorimetry and metabolomics profiling reveals alterations in energy metabolism between fed and fasted pigs.

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Review 6.  Methodologies on estimating the energy requirements for maintenance and determining the net energy contents of feed ingredients in swine: a review of recent work.

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7.  Effects of waste stream combinations from brewing industry on performance of Black Soldier Fly, Hermetia illucens (Diptera: Stratiomyidae).

Authors:  Shaphan Y Chia; Chrysantus M Tanga; Isaac M Osuga; Samira A Mohamed; Fathiya M Khamis; Daisy Salifu; Subramanian Sevgan; Komi K M Fiaboe; Saliou Niassy; Joop J A van Loon; Marcel Dicke; Sunday Ekesi
Journal:  PeerJ       Date:  2018-11-28       Impact factor: 2.984

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9.  Effects of Different Crude Protein and Dietary Fiber Levels on the Comparative Energy and Nutrient Utilization in Sows and Growing Pigs.

Authors:  Wenxuan Dong; Gang Zhang; Zhongchao Li; Ling Liu; Shuai Zhang; Defa Li
Journal:  Animals (Basel)       Date:  2020-03-16       Impact factor: 2.752

10.  Xylanase supplementation in corn-based swine diets: a review with emphasis on potential mechanisms of action.

Authors:  Amy L Petry; John F Patience
Journal:  J Anim Sci       Date:  2020-11-01       Impact factor: 3.159

  10 in total

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