Experimental Methods

Assessment of Metabolizable Energy and Amino Acid Availability of Soybean Meals in Laying Hens

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  • Key Laboratory of Animal Disease-Resistant Nutrition and Feed Science of Ministry of Agriculture, Institute of Animal Nutrition, Sichuan Agriculture University, Ya'an 625014, China

Received date: 2014-10-11

  Online published: 2015-03-18

Abstract

The study was conducted to investigate apparent metabolizable energy (AME) and amino acids availability (AAA) of different soybean meal samples, and explore feasibility of establishing prediction for the AME and AAA using Fourier near infrared spectroscopy (NIRS). A completely randomized design was used with a total of two hundred and forty six 36-week-old Lohmann laying hens with initial body weight of (1.60±0.10) kg and laying rate of 85%. Hens were divided into 31 groups with 8 replicates per group and 1 hen per replicate. The experiment was conducted to use the method of trained feeding and total excreta collection. Additionally, the near infrared spectroscopy (NIRS) calibrations were established to predict AME and AAA of soybean meal for laying hens feeds. The results showed as follows: 1) the average AME of 30 soybean meals was (13.24±0.67) MJ/kg, ranging from 11.95 to 14.87 MJ/kg. The range of 30 soybean total AAA (TAAA) of laying hens were 89.99%~94.96%, with average value of (93.73±1.23)%. 2) Adjusted determination coefficient (Rcal2), cross validation factor (Rcv2), coefficient of external verification (Rval2) and external validation standard deviation (RMSEP) of NIRS model for AME of soybean meals were83.79%, 99.24%, 80.73%, 0.22 MJ/kg. Rcal2, Rcv2, Rval2 and RMSEP of NIRS models for AAA of soybean meals were 76.38%~97.32%, 94.20%~99.97%, 61.80%~99.42%, 0.06%~1.00%. These results indicate as follows: 1) There are significant differences among the different soybean meal sources in their AME and AAA in Lohmann laying hens. 2) NIRS can be used to establish equations model to predict the AME and AAA of soybean meals in Lohmann laying hens, and the predicative models have relatively higher Rcal2 and minor RMSEP.

Cite this article

WANG Chaosheng, JIA Gang, ZHANG Keying, DING Xuemei, WU Xiuqun, ZHAO Hua, CHEN Xiaoling, WU Caimei, LIU Guangmang . Assessment of Metabolizable Energy and Amino Acid Availability of Soybean Meals in Laying Hens[J]. Chinese Journal of Animal Nutrition, 2015 , 27(3) : 820 -828 . DOI: 10.3969/j.issn.1006-267x.2015.03.020

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