肉仔鸡对菜籽粕代谢能的评定及预测模型研究

doi:10.11843/j.issn.0366-6964.2019.12.009

Abstract

Abstract: This study aimed to establish the prediction equation of AME and AMEn of rapeseed meal for broiler chicken in 6 different areas from Hunan Province. Seven hundred 1-day-old AA broilers were divided into two test stages according to their age. The 420 broilers were randomly divided into 7 groups with 10 replicates per group and 6 broilers per replicate in the first stage(7-14 days old), the 280 broilers were randomly divided into 7 groups with 10 replicates per group and 4 broilers per replicate in the second stage(21-28 days old). The 7 treatment groups in two stages were made up of 6 experimental diet groups designed by full substitute for rapeseed meal from 6 different areas and 1 nitrogen-free diet group. The AME and AMEn of rapeseed meal from 6 different areas for broiler chicken on 14 and 28 days old were determined by total feces collection method and the prediction equation were established by stepwise regression method. The results showed as follows, the AME and AMEn of rapeseed meal for broiler on 14 days old were 7.44 and 7.35 MJ·kg^-1 respectively, the prediction equation of AME and AMEn were AME=24.98-0.39NDF and AMEn=25.04-0.39NDF; the AME and AMEn of rapeseed meal for broiler on 28 days old were 8.01 and 7.91 MJ·kg^-1 respectively, the prediction equation of AME and AMEn were AME=23.08-0.34NDF and AMEn=23.06-0.34NDF. The results of the study improved the database of the metabolism energy of rapeseed meal for broiler chickens, and provided support for the application of rapeseed meal in livestock and poultry diet.

Key words: broiler chicken, rapeseed meal, age, metabolic energy, prediction equation

CLC Number:

S831.5

DING Peng, HUANG Xiangxiang, SONG Zehe, FAN Zhiyong, GUO Yuming, HE Xi. Evaluation and Prediction Model of Metabolic Energy of Rapeseed Meal for Broilers[J]. Acta Veterinaria et Zootechnica Sinica, 2019, 50(12): 2449-2457.

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Evaluation and Prediction Model of Metabolic Energy of Rapeseed Meal for Broilers

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