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一项评估那拉菌素对生长育肥猪生产性能影响的meta回归分析。

A meta-regression analysis to evaluate the effects of narasin on grow-finish pig performance.

作者信息

Becker Larissa L, Gebhardt Jordan T, Tokach Mike D, Arentson Roger A, Shields Michael, Woodworth Jason C, Goodband Robert D, DeRouchey Joel M, Seltzer Jenna A, Puls Christopher L

机构信息

Department of Animal Sciences and Industry, College of Agriculture, Kansas State University, Manhattan, KS 66506-0201, USA.

Department of Diagnostic Medicine/Pathobiology, College of Veterinary Medicine, Kansas State University, Manhattan, KS 66506-0201, USA.

出版信息

Transl Anim Sci. 2024 Jun 15;8:txae099. doi: 10.1093/tas/txae099. eCollection 2024.

DOI:10.1093/tas/txae099
PMID:38979115
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11229331/
Abstract

Ionophores are feed additives that decrease gram-positive microbial populations by disrupting the ion transfer across cell membranes resulting in improved growth performance. Narasin (Skycis; Elanco Animal Health, Greenfield, IN) is an FDA-approved ionophore utilized for increased rate of weight gain and improved feed efficiency in growing-finishing pigs. A meta-regression analysis was conducted to evaluate the effects of added narasin in growing-finishing pig diets to predict its influence on average daily gain (), feed efficiency (), and carcass yield. A database was developed containing 21 technical reports, abstracts, and refereed papers from 2012 to 2021 representing 35 observations for growth performance data in studies ranging from 35 to 116 d in length (overall data). In addition, within these 35 observations, individual period data were evaluated (143 observations) using weekly, bi-weekly, or monthly performance intervals (period data). Regression model equations were developed, and predictor variables were assessed with a stepwise manual forward selection procedure. The ADG model using the overall data included ADG, ADFI, and G:F of the control group, added narasin dose, and narasin feeding duration categorized as longer or shorter than 65 d. Predictor variables included in the G:F model using overall data were ADG, ADFI, and G:F of the control group and added narasin dose. For carcass yield, the final model included ADFI and G:F of the control group, added narasin dose, and narasin feeding duration of longer than 65 d. In the period model for ADG, the predictors included ADG, ADFI, and G:F of the control group, added narasin dose, and average BW of the control group categorized into greater than or less than 105 kg. For period data for G:F, the model selected ADG, ADFI, and G:F of the control group and added narasin dose. Based on the results, the overall response to added narasin for ADG and G:F was quadratic and tended to decrease as ADG and G:F increased. A similar quadratic response was observed for the individual period data. In summary, using median values from the database for predictor variables, this meta-analysis demonstrated narasin would be expected to improve ADG between 1.06% and 1.65%, G:F between 0.71% and 1.71%, and carcass yield by 0.31% when fed continuously for longer than 65 d.

摘要

离子载体是一类饲料添加剂,可通过破坏细胞膜上的离子转运来减少革兰氏阳性微生物种群数量,从而提高生长性能。那拉菌素(商品名Skycis;美国礼来公司动物保健部,印第安纳州格林菲尔德)是一种经美国食品药品监督管理局批准的离子载体,用于提高生长育肥猪的增重速度和饲料效率。本研究进行了一项Meta回归分析,以评估在生长育肥猪日粮中添加那拉菌素的效果,预测其对平均日增重(ADG)、饲料效率(G:F)和胴体产量的影响。建立了一个数据库,其中包含2012年至2021年的21份技术报告、摘要和同行评议论文,代表了35项生长性能数据观察值,研究时长从35天到116天不等(总体数据)。此外,在这35项观察值中,使用每周、每两周或每月的性能间隔评估了个体阶段数据(143项观察值)(阶段数据)。建立了回归模型方程,并使用逐步手动向前选择程序评估预测变量。使用总体数据的ADG模型包括对照组的ADG、ADFI和G:F、添加的那拉菌素剂量以及分为长于或短于65天的那拉菌素饲喂持续时间。使用总体数据的G:F模型中包含的预测变量是对照组的ADG、ADFI和G:F以及添加的那拉菌素剂量。对于胴体产量,最终模型包括对照组的ADFI和G:F、添加的那拉菌素剂量以及长于65天的那拉菌素饲喂持续时间。在ADG的阶段模型中,预测变量包括对照组的ADG、ADFI和G:F、添加的那拉菌素剂量以及分为大于或小于105 kg的对照组平均体重。对于G:F的阶段数据,模型选择了对照组ADG、ADFI和G:F以及添加的那拉菌素剂量。根据结果,添加那拉菌素后ADG和G:F的总体反应呈二次曲线,并且随着ADG和G:F的增加而趋于下降。个体阶段数据也观察到类似的二次反应。总之,使用数据库中预测变量的中位数,本Meta分析表明,连续饲喂超过65天时,那拉菌素有望使ADG提高1.06%至1.65%,G:F提高0.71%至1.71%,胴体产量提高0.31%。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3038/11229331/93db80b7115b/txae099_fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3038/11229331/983e8450f408/txae099_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3038/11229331/29a121863e77/txae099_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3038/11229331/24a8e4bb2892/txae099_fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3038/11229331/7e52e46f6414/txae099_fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3038/11229331/93db80b7115b/txae099_fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3038/11229331/983e8450f408/txae099_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3038/11229331/29a121863e77/txae099_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3038/11229331/24a8e4bb2892/txae099_fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3038/11229331/7e52e46f6414/txae099_fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3038/11229331/93db80b7115b/txae099_fig5.jpg

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