Determination and Prediction of Available Energy in 13 Cereal Feed Ingredients for Growing Pigs

This study was conducted to develop equations to predict the digestible (DE) and metabolizable energy (ME) for growing pigs by using the chemical compositions of five corn, two wheat and six rice samples. A total of 13 castrated boars were chosen and fed 13 diets formulated with different cereal feed ingredients according to a 13 × 6 Youden square design. The DE and ME contents, the ratio of ME to DE, and the nutrient digestibility among the 13 cereal feed ingredients were different (<i>p</i> < 0.05), and the DE and ME ranged from 13.77 MJ/kg to 17.05 MJ/kg and 13.40 MJ/kg to 16.73 MJ/kg, respectively. The DE and ME were negatively correlated to the NDF (<i>p</i> < 0.10) and ADF (<i>p</i> < 0.05) contents among the test cereals; however, the DE and ME contents were positively correlated with the starch content. Based on the chemical analysis, the models for predicting the DE and ME in the cereal feed ingredients were DE (MJ/kg) = 0.1364 × Starch (%) - 0.2352 × ADF (%) + 11.4467 and ME (MJ/kg) = 0.9838 × DE (MJ/kg) - 0.0165 × CP (%) + 0.0538. In conclusion, the different chemical compositions of different cereal feed ingredients led to large variations in the energy concentration and digestibility of nutrients for growing pigs. The number of cereal samples needs to be further increased to improve the accuracy of the equations for predicting energy contents.

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Publication Details

Journal
Veterinary Sciences
Published
2024-12-13
DOI
https://doi.org/10.3390/vetsci11120648
Citations
1
Primary Topic
Animal Nutrition and Physiology
Type
article
Field-Weighted Citation Impact
0.34

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article

Determination and Prediction of Available Energy in 13 Cereal Feed Ingredients for Growing Pigs

Ge Zhang, Xiaoming Song, Jinbiao Zhao, Ling Liu et al.
1 citations
Veterinary Sciences
Animal Nutrition and Physiology
0.34
article

Determination and Prediction of Available Energy in 13 Cereal Feed Ingredients for Growing Pigs

Ge Zhang, Xiaoming Song, Jinbiao Zhao, Ling Liu, Meiyu Yang
article en
1 citations

Abstract

This study was conducted to develop equations to predict the digestible (DE) and metabolizable energy (ME) for growing pigs by using the chemical compositions of five corn, two wheat and six rice samples. A total of 13 castrated boars were chosen and fed 13 diets formulated with different cereal feed ingredients according to a 13 × 6 Youden square design. The DE and ME contents, the ratio of ME to DE, and the nutrient digestibility among the 13 cereal feed ingredients were different (<i>p</i> < 0.05), and the DE and ME ranged from 13.77 MJ/kg to 17.05 MJ/kg and 13.40 MJ/kg to 16.73 MJ/kg, respectively. The DE and ME were negatively correlated to the NDF (<i>p</i> < 0.10) and ADF (<i>p</i> < 0.05) contents among the test cereals; however, the DE and ME contents were positively correlated with the starch content. Based on the chemical analysis, the models for predicting the DE and ME in the cereal feed ingredients were DE (MJ/kg) = 0.1364 × Starch (%) - 0.2352 × ADF (%) + 11.4467 and ME (MJ/kg) = 0.9838 × DE (MJ/kg) - 0.0165 × CP (%) + 0.0538. In conclusion, the different chemical compositions of different cereal feed ingredients led to large variations in the energy concentration and digestibility of nutrients for growing pigs. The number of cereal samples needs to be further increased to improve the accuracy of the equations for predicting energy contents.

Veterinary SciencesVol. 11(12)
China Agricultural University (CN)
China Agricultural University
Affordable and clean energy
Openalex Percentile: Top 39%
Animal Nutrition and Physiology
0.34
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