Difference and Additivity of Determing Enzymatic Hydrolystae Gross Energy of Feeds in 4 Laboratories for Pigs

ZHAO Jiangtao; GAO Lixiang; ZHANG Hu; DONG Ying; LI Dailin; ZHOU Guilian; WANG Yuming; DU Qingzhi; ZHAO Feng

doi:10.3969/j.issn.1006-267x.2022.05.056

Chinese Journal of Animal Nutrition >

2022 , Vol. 34 >Issue 5: 3307 - 3316

DOI: https://doi.org/10.3969/j.issn.1006-267x.2022.05.056

RESEARCH PAPER

Difference and Additivity of Determing Enzymatic Hydrolystae Gross Energy of Feeds in 4 Laboratories for Pigs

ZHAO Jiangtao ,
GAO Lixiang ,
ZHANG Hu ,
DONG Ying ,
LI Dailin ,
ZHOU Guilian ,
WANG Yuming ,
DU Qingzhi ,
ZHAO Feng

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1. Key Laboratory of Animal Nutrition and Feed Science, Ministry of Agriculture and Rural Affairs, Wens Food Group Co., Ltd., Yunfu 527400, China;
2. State Key Laboratory of Animal Nutrition, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China;
3. Sichuan Province Key Laboratory of Quality and Safety Control of Livestock and Poultry Feed and Livestock Products, New Hope Liuhe Co., Ltd., Chengdu 610023, China;
4. Hunan Zhongben Intelligent Technology Development Limited Company, Changsha 410013, China

Received date: 2021-10-27

Online published: 2022-05-14

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Abstract

This study was conducted to compare the difference and additivity of the enzymatic hydrolysate gross energy (EHGE) of feeds in 4 laboratories for pigs, and provide a reference for the in vitro digestion method to determine the available energy of feeds. The experiment used a single factor completely random design, and the EHGE of 6 feed ingredients and 8 diets prepared from the above ingredients were determined in 4 laboratories using the in vitro digestion method of growing pigs, with 5 replicates per sample in each laboratory and 1 digestion tube for each replicate. The results showed as follows:the|Z|score of feeds were both less than 2, except for the deit 5 determined by laboratory 1, which was between 2 and 3. Additionally, the EHGE of each sample determined by 4 laboratories was distributed on both sides of the h statistic baseline, which indicated that the EHGE of feed ingredients and diets of the 4 laboratories had small deviations from the average values of 4 laboratories. The k statistic of the EHGE determined by the 4 laboratories for each sample was all within 2, indicated that the variability between laboratories was small. The EHGE of barley and soybean meal had no differences between laboratories, while the EHGE of other 4 feed ingredients and diets showed significant differences between laboratories (P<0.05), but the average relative deviation of the determined values between laboratories was between 0.23% and 0.99%. In addition to the larger coefficient of variation (CV) of wheat bran EHGE between laboratories (repeatability CV, interlaboratory CV and reproducibility CV were 1.57%, 1.18% and 1.97%, respectively), the repeatability CV, inter-laboratory CV and reproducibility CV of other 5 feed ingredients and 8 diets were 0.33% to 0.53%, 0.12% to 0.91% and 0.35% to 1.01%, respectively. The paired T test showed that the average value of EHGE calculated in laboratory 1 for the 8 diets was lower than the average values of determined EHGE (P<0.05), but the difference between the two values was only 0.09 MJ/kg DM. There was no difference between the average values of the calculated and determined EHGE of the 8 diets in the inner-laboratories 2, 3, and 4. The correlation coefficients between the calculated and determined EHGE of diets in the 4 laboratories were all greater than 0.99 (P<0.01). In the linear regression model of 8 dietary EHGE determined values versus calculated values, the regression lines of laboratories 1, 3, and 4 overlap with Y=X, while the slope of the regression line of laboratory 2 was different from that of 1 (P<0.05), the intercept was different from 0 (P<0.05). The above results show that the EHGE value of feed determined by 4 laboratories has low variability and satisfactory additivity, which can provide stable technical support for the improvement of the pig feed database.

Key words： feed; enzymatic hydrolysate gross energy; coefficient of variation; additivity; pigs

Cite this article

ZHAO Jiangtao , GAO Lixiang , ZHANG Hu , DONG Ying , LI Dailin , ZHOU Guilian , WANG Yuming , DU Qingzhi , ZHAO Feng . Difference and Additivity of Determing Enzymatic Hydrolystae Gross Energy of Feeds in 4 Laboratories for Pigs[J]. Chinese Journal of Animal Nutrition, 2022 , 34(5) : 3307 -3316 . DOI: 10.3969/j.issn.1006-267x.2022.05.056

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