Validation of metabolisable energy prediction equation for de-oiled corn distillers dried grains with solubles fed to finishing pigs
This experiment was conducted to determine the accuracy of a prediction equation for metabolisable energy (ME) content generated from the chemical composition of de-oiled corn distillers dried grains with solubles (DDGS) in finishing pigs. A total of 72 pigs (average initial body weight 85.7 kg), wi...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2016-01-01
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| Series: | Italian Journal of Animal Science |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/1828051X.2015.1128690 |
| _version_ | 1817997283292086272 |
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| author | Xiao Xu Hongliang Wang Xiangshu Piao |
| author_facet | Xiao Xu Hongliang Wang Xiangshu Piao |
| author_sort | Xiao Xu |
| collection | DOAJ |
| description | This experiment was conducted to determine the accuracy of a prediction equation for metabolisable energy (ME) content generated from the chemical composition of de-oiled corn distillers dried grains with solubles (DDGS) in finishing pigs. A total of 72 pigs (average initial body weight 85.7 kg), with four pigs per pen and six pens per treatment, were fed one of the three experimental diets. The experimental diets were a corn-soybean meal basal diet or two diets containing 30% de-oiled DDGS diets. The experimental diets were formulated using ME values obtained from a prediction equation or NRC. ME prediction equation for the de-oiled DDGS was ME = 4066 – (46.3×%neutral detergent fibre (NDF)) + (45.8×%CP) – (106.2×%ash). Overall, the pigs fed the diet calculated with an ME from NRC had significantly lower ADG, feed efficiency, hot carcass weight, Longissimus muscle area and leptin concentration in serum compared with pigs fed the diet with an ME calculated by the prediction equation (p < 0.05). Glucose and low-density lipoprotein concentrations in pigs fed the diet calculated by NRC and were significantly reduced compared with pigs fed the control diet (p < 0.05). Lipase concentration in pigs fed the diet calculated by prediction equation was higher compared with pigs fed the diet calculated by NRC (p < 0.05). In conclusion, the prediction equation of ME content in de-oiled DDGS was more accurate than the value and its use resulted in improved pig performance. |
| first_indexed | 2024-04-14T02:34:49Z |
| format | Article |
| id | doaj.art-c6e1f8deb6004a6480550e0bf3541b29 |
| institution | Directory Open Access Journal |
| issn | 1828-051X |
| language | English |
| last_indexed | 2024-04-14T02:34:49Z |
| publishDate | 2016-01-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Italian Journal of Animal Science |
| spelling | doaj.art-c6e1f8deb6004a6480550e0bf3541b292022-12-22T02:17:29ZengTaylor & Francis GroupItalian Journal of Animal Science1828-051X2016-01-01151556110.1080/1828051X.2015.11286901128690Validation of metabolisable energy prediction equation for de-oiled corn distillers dried grains with solubles fed to finishing pigsXiao Xu0Hongliang Wang1Xiangshu Piao2China Agricultural UniversityChina Agricultural UniversityChina Agricultural UniversityThis experiment was conducted to determine the accuracy of a prediction equation for metabolisable energy (ME) content generated from the chemical composition of de-oiled corn distillers dried grains with solubles (DDGS) in finishing pigs. A total of 72 pigs (average initial body weight 85.7 kg), with four pigs per pen and six pens per treatment, were fed one of the three experimental diets. The experimental diets were a corn-soybean meal basal diet or two diets containing 30% de-oiled DDGS diets. The experimental diets were formulated using ME values obtained from a prediction equation or NRC. ME prediction equation for the de-oiled DDGS was ME = 4066 – (46.3×%neutral detergent fibre (NDF)) + (45.8×%CP) – (106.2×%ash). Overall, the pigs fed the diet calculated with an ME from NRC had significantly lower ADG, feed efficiency, hot carcass weight, Longissimus muscle area and leptin concentration in serum compared with pigs fed the diet with an ME calculated by the prediction equation (p < 0.05). Glucose and low-density lipoprotein concentrations in pigs fed the diet calculated by NRC and were significantly reduced compared with pigs fed the control diet (p < 0.05). Lipase concentration in pigs fed the diet calculated by prediction equation was higher compared with pigs fed the diet calculated by NRC (p < 0.05). In conclusion, the prediction equation of ME content in de-oiled DDGS was more accurate than the value and its use resulted in improved pig performance.http://dx.doi.org/10.1080/1828051X.2015.1128690Carcassde-oiled dried distillers grains with solublesgrowthprediction equationswine |
| spellingShingle | Xiao Xu Hongliang Wang Xiangshu Piao Validation of metabolisable energy prediction equation for de-oiled corn distillers dried grains with solubles fed to finishing pigs Italian Journal of Animal Science Carcass de-oiled dried distillers grains with solubles growth prediction equation swine |
| title | Validation of metabolisable energy prediction equation for de-oiled corn distillers dried grains with solubles fed to finishing pigs |
| title_full | Validation of metabolisable energy prediction equation for de-oiled corn distillers dried grains with solubles fed to finishing pigs |
| title_fullStr | Validation of metabolisable energy prediction equation for de-oiled corn distillers dried grains with solubles fed to finishing pigs |
| title_full_unstemmed | Validation of metabolisable energy prediction equation for de-oiled corn distillers dried grains with solubles fed to finishing pigs |
| title_short | Validation of metabolisable energy prediction equation for de-oiled corn distillers dried grains with solubles fed to finishing pigs |
| title_sort | validation of metabolisable energy prediction equation for de oiled corn distillers dried grains with solubles fed to finishing pigs |
| topic | Carcass de-oiled dried distillers grains with solubles growth prediction equation swine |
| url | http://dx.doi.org/10.1080/1828051X.2015.1128690 |
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