title: Prediction of digestible and metabolisable energy in soybean meals produced from soybeans of different origins fed to growing pigs.
abstract: The objective of this experiment was to determine the digestible energy (DE) and metabolisable energy (ME) in 22 sources of soybean meal (SBM) produced from soybeans from different countries and subsequently to establish equations for predicting the DE and ME in SBM based on their chemical composition. The 22 sources of SBM were all processed in Chinese crushing plants, but the soybeans used originated from China (n=6), the US (n=6), Brazil (n=7) or Argentina (n=3). The basal diet was a corn-based diet and 22 additional diets were formulated by mixing corn and 24.3% of each source of SBM. The average DE and ME in SBM from China, the US, Brazil and Argentina were 15.73, 15.93, 15.64 and 15.90 MJ/kg and 15.10, 15.31, 14.97 and 15.42 MJ/kg, respectively, and no differences among countries were observed. From a stepwise regression analysis, a series of DE and ME prediction equations were generated. The best-fit equations for SBM were DE=38.44-0.43 crude fibre -0.98 gross energy +0.11 acid detergent fibre (R2=0.67, p<0.01) and ME=2.74+0.97 DE -0.06 crude protein (R2=0.79, p<0.01). In conclusion, there were no differences in the DE and ME of SBM among the different soybean sources used in this experiment. The DE and ME of SBM of different origin can be predicted based on their chemical composition when fed to growing pigs.
authors.affiliation: a State Key Laboratory of Animal Nutrition, Ministry of Agriculture Feed Industry Centre , China Agricultural University , Beijing , China.
authors.forename: Zhongchao
authors.initials: Z
authors.lastname: Li
authors.affiliation: a State Key Laboratory of Animal Nutrition, Ministry of Agriculture Feed Industry Centre , China Agricultural University , Beijing , China.
authors.forename: Xiaoxiao
authors.initials: X
authors.lastname: Wang
authors.affiliation: a State Key Laboratory of Animal Nutrition, Ministry of Agriculture Feed Industry Centre , China Agricultural University , Beijing , China.
authors.forename: Panpan
authors.initials: P
authors.lastname: Guo
authors.affiliation: a State Key Laboratory of Animal Nutrition, Ministry of Agriculture Feed Industry Centre , China Agricultural University , Beijing , China.
authors.forename: Ling
authors.initials: L
authors.lastname: Liu
authors.affiliation: a State Key Laboratory of Animal Nutrition, Ministry of Agriculture Feed Industry Centre , China Agricultural University , Beijing , China.
authors.forename: Xiangshu
authors.initials: X
authors.lastname: Piao
authors.affiliation: b Department of Animal Sciences , University of Illinois , Urbana , IL , USA.
authors.forename: Hans H
authors.initials: HH
authors.lastname: Stein
authors.affiliation: a State Key Laboratory of Animal Nutrition, Ministry of Agriculture Feed Industry Centre , China Agricultural University , Beijing , China.
authors.forename: Defa
authors.initials: D
authors.lastname: Li
authors.affiliation: a State Key Laboratory of Animal Nutrition, Ministry of Agriculture Feed Industry Centre , China Agricultural University , Beijing , China.
authors.forename: Changhua
authors.initials: C
authors.lastname: Lai
mesh_terms: D000821:Animal Feed / Q000032:analysis*; D000824:Animal Nutritional Physiological Phenomena; D000818:Animals; D004032:Diet / Q000662:veterinary; D004063:Digestion; D004734:Energy Metabolism; D005511:Food Handling; D008962:Models, Theoretical; D013025:Glycine max / Q000737:chemistry*; D034421:Sus scrofa / Q000378:metabolism*
keywords: energy content; nutrient content; pigs; prediction; production location; soyabean oilmeal