Acta Veterinaria et Zootechnica Sinica ›› 2024, Vol. 55 ›› Issue (9): 3988-4000.doi: 10.11843/j.issn.0366-6964.2024.09.023

• Animal Nutrition and Feeds • Previous Articles     Next Articles

Study on the Accuracy and Additivity of Effective Energy in Feed for Growing Pigs Predicted by Simulated Digestion Method

Cong REN(), Hu ZHANG, Yuming WANG, Jingjing XIE, Renna SA, Feng ZHAO*()   

  1. State Key Laboratory of Animal Nutrition and Feeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China
  • Received:2023-11-04 Online:2024-09-23 Published:2024-09-27
  • Contact: Feng ZHAO E-mail:1765669692@qq.com;zhaofeng@caas.cn

Abstract:

The objective of this study was to investigate the accuracy and additivity of digestible energy (DE), metabolizable energy (ME) and net energy (NE) predicted from simulated digestion method in feed for growing pig, which will provide a reference for quickly determining effective energy in feed. A single factorial completely randomized design was adopted for the determination of enzymatic hydrolysate gross energy (EHGE) of 12 energy feed ingredients, 9 protein feed ingredients and 17 diets formulated by the above 21 feed ingredients.Each treatment contained 5 replicates with 1 digestive tube per replicate. The DE, ME and NE were predicted by EHGE combined with crude protein (CP) and acid detergent fiber (ADF). The difference and correlation between the predicted effective energy (DE, ME and NE) values and the in vivo values estimated by gross energy (GE) multiplied by energy utilization coefficients in the GB/T 939235—2020 of 17 feed ingredients with the same name as this study were calculated to verify the accuracy of effective energy predicted from simulated digestion method. The difference between the weighted values of effective energy calculated by individual value of feed ingredients and the values predicted by the mathematical model of effective energy from EHGE in the diets were compared to validate the additivity of effective energy predicted from simulated digestion method. The results showed that the coefficients of determination (R2) of the linear regression model of in vivo DE, ME and NE calculated from GB/T 939235—2020 against effective energy predicted from EHGE combined with CP and ADF of 17 feed ingredients were 0.774, 0.778 and 0.870, respectively. Regression diagnostic analysis indicated that rice bran, wheat bran and corn germ meal deviated from other 14 feed ingredients in the linear relationship between the in vivo and predicted values (DFFITS>$ 2 \sqrt{\frac{p}{n}} $). Excluding the above 3 samples, the R2 of the linear regression of in vivo effective energy calculated from GB/T 939235—2020 on predicted values were greater than 0.93. The linear regression of determined EHGE on weighted calculation values and the predicted DE, ME and NE on weighted calculation values were consistent to the line of Y=X (R2>0.95, P < 0.01). These results indicate that the simulated digestion method can accurately predict the effective energy of 14 feed ingredients, but underestimate the effective energy of rice bran and wheat bran, whereas overestimate the DE and ME of corn germ meal. The EHGE determined by simulated digestion method and the DE, ME, NE which predicted from EHGE all have good additivity.

Key words: growing pig, feed ingredients, simulated digestion method, effective energy

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