Poultry Nutrition

Assessment of Metabolizable Energy and Amino Acid Availability of Rapeseed Meal for Lohmann Laying Hens

  • HUI Mingdi ,
  • JIA Gang ,
  • FAN Bin ,
  • ZHANG Keying ,
  • DING Xuemei ,
  • WU Xiuqun ,
  • WU Caimei ,
  • CHEN Xiaoling
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  • Animal Nutrition Institute of Sichuan Agricultural University, Key Laboratory of Animal Anti-Disease of Nutrition and Feed, Ministry of Agriculture, Ya'an 625014, China

Received date: 2013-11-11

  Online published: 2014-04-01

Abstract

This study was conducted to determine the metabolizable energy (ME) and amino acid availability (AAA) of rapeseed meal (RSM) from different sources for Lohmann laying hens, and to explore the possibilities of using near infrared reflectance spectroscopy (NIRS) to predict the biological potency of RSM. A total of two hundred and forty-eight forty-week-old Lohmann laying hens with an average body weight of (1.71±0.12) kg were placed in metabolic cages and randomly divided into 31 treatments, and each treatment was allotted to 8 replicates, with 1 hen in each replicate. The 31 treatments were fed a basal diet and 30 experiment diets that were composed of 30 kinds of RSM from different sources of China, respectively. The ME and AAA of 30 kinds of RSM were measured by the method of substitution, and the predictive models of bioavailability potency were established by NIRS. The results showed as follows: 1) the results of the method of substitution for metabolic experiments determined that when the laying rate was maintained at (89.30±0.06)%, egg quality remained normal; 2) The ME of RSM from different sources was (13.93±1.98) MJ/kg, ranging from 9.51 MJ/kg to 17.22 MJ/kg; 3) The AAA of RSM from different sources about essential amino acids such as Thr, Ile, Leu, Phe, His, Arg, Lys were (79.07±4.73)%, (90.11±2.51)%, (87.22±3.36)%, (89.40±3.63)%, (93.59±1.92)%, (93.19±2.23)% and (87.59±3.39)%, respectively; 4) When NIRS was used to establishing ME and AAA prediction model, the R2 of the best prediction model of ME was 98.37%,and the R2 of the best prediction model of AAA, such as Thr, Ile, Leu, Phe, His, Arg, and Lys corresponding prediction model were 99.61%, 99.00%, 99.12%, 97.49%, 99.21%, 99.44% and 98.47%, respectively. In conclusion, using the methods of 'substitution+ total feces collection’ to assess the bioavailability of RSM from different sources in Lohmann laying hens during laying period does not significantly affect laying rate and egg quality,and the ME and AAA among RSM from different sources have varying degrees of difference, meanwhile, NIRS can more accurately establish predictive models of ME and AAA.

Cite this article

HUI Mingdi , JIA Gang , FAN Bin , ZHANG Keying , DING Xuemei , WU Xiuqun , WU Caimei , CHEN Xiaoling . Assessment of Metabolizable Energy and Amino Acid Availability of Rapeseed Meal for Lohmann Laying Hens[J]. Chinese Journal of Animal Nutrition, 2014 , 26(4) : 893 -907 . DOI: 10.3969/j.issn.1006-267x.2014.04.009

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