Digestibility and metabolizable energy of selected tropical feedstuffs estimated by in vitro and prediction equations
In vivo determination of digestible organic matter (dOM) and metabolisable energy (ME) concentrations of feeds is laborious and expensive, whereas analysis of their nutrient contents is routinely performed. Prediction equations based on the chemical composition of feeds can be a compromise. This study compared dOM and ME estimates of tropical feeds derived from selected equations (Yan and Agnew, 2004; Stergiadis et al., 2015a; Stergiadis et al., 2015b; AFRC, 1993) with those determined by the in vitro gas production method (Menke and Steingass, 1988). Samples of supplement feedstuffs (n = 12) and the herbaceous and ligneous vegetation on native pastures (n = 12) were collected in Lower Nyando, Kenya, over two seasons of one year. Samples were analysed for dry matter (DM; in % of fresh matter), crude ash, crude protein, ether extract, neutral and acid detergent fiber (NDF, ADF) (all in % of DM). Gross energy was determined by calorimetry. Nutrient concentrations varied across all samples with 8.5 – 87.9% DM, 5.2 – 16.8% crude ash, 36.7 – 74.1% NDF, 25.5 – 39.4% ADF, 3.2 – 14.2% crude protein, and 0.6 – 4.5% ether extract. The gross energy, in vitro dOM, and ME concentrations were 14.5 – 18.8 MJ/kg DM, 26.3 – 54.5%, and 3.8 – 8.4 MJ/kg DM, respectively. Compared with the in vitro method, all nutrient-based equations overestimated dOM (P < 0.001), whereas ME estimated from in vitro gas production was similar to that derived from the AFRC equation (P > 0.5). Nutrient-based equations do not sufficiently account for differences in nutrient availability, an aspect better simulated in vitro. Further development and/or validation of nutrient-based equations might be needed to more accurately predict dOM and ME of tropical feeds. AFRC. 1993. Wallingford: CAB International. Stergiadis et al. 2015a. J Dairy Sci, 98(5), 3257–3273 Stergiadis et al 2015b. Brit J Nutr, 113(10), 1571–1584. Yan and Agnew. 2004. J Anim Sci., 82, 1367–1379.
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University of Hohenheim
2016-09-19
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dig-cgspace-10568-770202023-08-03T10:09:05Z Digestibility and metabolizable energy of selected tropical feedstuffs estimated by in vitro and prediction equations Onyango, A. Dickhoefer, Uta Butterbach-Bahl, Klaus Goopy, John P. animal feeding livestock In vivo determination of digestible organic matter (dOM) and metabolisable energy (ME) concentrations of feeds is laborious and expensive, whereas analysis of their nutrient contents is routinely performed. Prediction equations based on the chemical composition of feeds can be a compromise. This study compared dOM and ME estimates of tropical feeds derived from selected equations (Yan and Agnew, 2004; Stergiadis et al., 2015a; Stergiadis et al., 2015b; AFRC, 1993) with those determined by the in vitro gas production method (Menke and Steingass, 1988). Samples of supplement feedstuffs (n = 12) and the herbaceous and ligneous vegetation on native pastures (n = 12) were collected in Lower Nyando, Kenya, over two seasons of one year. Samples were analysed for dry matter (DM; in % of fresh matter), crude ash, crude protein, ether extract, neutral and acid detergent fiber (NDF, ADF) (all in % of DM). Gross energy was determined by calorimetry. Nutrient concentrations varied across all samples with 8.5 – 87.9% DM, 5.2 – 16.8% crude ash, 36.7 – 74.1% NDF, 25.5 – 39.4% ADF, 3.2 – 14.2% crude protein, and 0.6 – 4.5% ether extract. The gross energy, in vitro dOM, and ME concentrations were 14.5 – 18.8 MJ/kg DM, 26.3 – 54.5%, and 3.8 – 8.4 MJ/kg DM, respectively. Compared with the in vitro method, all nutrient-based equations overestimated dOM (P < 0.001), whereas ME estimated from in vitro gas production was similar to that derived from the AFRC equation (P > 0.5). Nutrient-based equations do not sufficiently account for differences in nutrient availability, an aspect better simulated in vitro. Further development and/or validation of nutrient-based equations might be needed to more accurately predict dOM and ME of tropical feeds. AFRC. 1993. Wallingford: CAB International. Stergiadis et al. 2015a. J Dairy Sci, 98(5), 3257–3273 Stergiadis et al 2015b. Brit J Nutr, 113(10), 1571–1584. Yan and Agnew. 2004. J Anim Sci., 82, 1367–1379. 2016-09-19 2016-09-09T13:31:41Z 2016-09-09T13:31:41Z Poster Onyango, A., Dickhoefer, U., Butterbach-Bahl, K. and Goopy, J. 2016. Digestibility and metabolizable energy of selected tropical feedstuffs estimated by in vitro and prediction equations. Poster prepared for the Tropentag 2016 Conference on Solidarity in a Competing World—Fair Use of Resources, Vienna, Austria, 19–21 September 2016. Stuttgart, Germany: University of Hohenheim. https://hdl.handle.net/10568/77020 http://www.tropentag.de/abstract.php?code=WxlXorXs https://www.slideshare.net/ILRI/tropentag2016-onyango en Open Access application/pdf University of Hohenheim |
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animal feeding livestock animal feeding livestock Onyango, A. Dickhoefer, Uta Butterbach-Bahl, Klaus Goopy, John P. Digestibility and metabolizable energy of selected tropical feedstuffs estimated by in vitro and prediction equations |
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In vivo determination of digestible organic matter (dOM) and metabolisable energy (ME) concentrations of feeds is laborious and expensive, whereas analysis of their nutrient contents is routinely performed. Prediction equations based on the chemical composition of feeds can be a compromise. This study compared dOM and ME estimates of tropical feeds derived from selected equations (Yan and Agnew, 2004; Stergiadis et al., 2015a; Stergiadis et al., 2015b; AFRC, 1993) with those determined by the in vitro gas production method (Menke and Steingass, 1988). Samples of supplement feedstuffs (n = 12) and the herbaceous and ligneous vegetation on native pastures (n = 12) were collected in Lower Nyando, Kenya, over two seasons of one year. Samples were analysed for dry matter (DM; in % of fresh matter), crude ash, crude protein, ether extract, neutral and acid detergent fiber (NDF, ADF) (all in % of DM). Gross energy was determined by calorimetry.
Nutrient concentrations varied across all samples with 8.5 – 87.9% DM, 5.2 – 16.8% crude ash, 36.7 – 74.1% NDF, 25.5 – 39.4% ADF, 3.2 – 14.2% crude protein, and 0.6 – 4.5% ether extract. The gross energy, in vitro dOM, and ME concentrations were 14.5 – 18.8 MJ/kg DM, 26.3 – 54.5%, and 3.8 – 8.4 MJ/kg DM, respectively. Compared with the in vitro method, all nutrient-based equations overestimated dOM (P < 0.001), whereas ME estimated from in vitro gas production was similar to that derived from the AFRC equation (P > 0.5). Nutrient-based equations do not sufficiently account for differences in nutrient availability, an aspect better simulated in vitro. Further development and/or validation of nutrient-based equations might be needed to more accurately predict dOM and ME of tropical feeds.
AFRC. 1993. Wallingford: CAB International.
Stergiadis et al. 2015a. J Dairy Sci, 98(5), 3257–3273
Stergiadis et al 2015b. Brit J Nutr, 113(10), 1571–1584.
Yan and Agnew. 2004. J Anim Sci., 82, 1367–1379. |
format |
Poster |
topic_facet |
animal feeding livestock |
author |
Onyango, A. Dickhoefer, Uta Butterbach-Bahl, Klaus Goopy, John P. |
author_facet |
Onyango, A. Dickhoefer, Uta Butterbach-Bahl, Klaus Goopy, John P. |
author_sort |
Onyango, A. |
title |
Digestibility and metabolizable energy of selected tropical feedstuffs estimated by in vitro and prediction equations |
title_short |
Digestibility and metabolizable energy of selected tropical feedstuffs estimated by in vitro and prediction equations |
title_full |
Digestibility and metabolizable energy of selected tropical feedstuffs estimated by in vitro and prediction equations |
title_fullStr |
Digestibility and metabolizable energy of selected tropical feedstuffs estimated by in vitro and prediction equations |
title_full_unstemmed |
Digestibility and metabolizable energy of selected tropical feedstuffs estimated by in vitro and prediction equations |
title_sort |
digestibility and metabolizable energy of selected tropical feedstuffs estimated by in vitro and prediction equations |
publisher |
University of Hohenheim |
publishDate |
2016-09-19 |
url |
https://hdl.handle.net/10568/77020 http://www.tropentag.de/abstract.php?code=WxlXorXs https://www.slideshare.net/ILRI/tropentag2016-onyango |
work_keys_str_mv |
AT onyangoa digestibilityandmetabolizableenergyofselectedtropicalfeedstuffsestimatedbyinvitroandpredictionequations AT dickhoeferuta digestibilityandmetabolizableenergyofselectedtropicalfeedstuffsestimatedbyinvitroandpredictionequations AT butterbachbahlklaus digestibilityandmetabolizableenergyofselectedtropicalfeedstuffsestimatedbyinvitroandpredictionequations AT goopyjohnp digestibilityandmetabolizableenergyofselectedtropicalfeedstuffsestimatedbyinvitroandpredictionequations |
_version_ |
1779055794556239872 |