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

IF 1.3 Q3 AGRICULTURE, DAIRY & ANIMAL SCIENCE Translational Animal Science Pub Date : 2024-06-15 DOI:10.1093/tas/txae099
Larissa L. Becker, J. Gebhardt, M. Tokach, R. Arentson, Michael Shields, J. Woodworth, R. Goodband, J. DeRouchey, Jenna A Seltzer, Christopher L Puls
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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 (ADG), feed efficiency (G:F), 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 days in length (overall data). In addition, within these 35 observations, individual period data was 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 days. 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 days. 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 to 1.65%, G:F between 0.71 to 1.71%, and carcass yield by 0.31% when fed continuously for longer than 65 days.
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通过元回归分析评估纳拉菌素对生长后期猪生产性能的影响
离子促进剂是一种饲料添加剂,可通过破坏细胞膜上的离子转移来减少革兰氏阳性微生物的数量,从而改善生长性能。Narasin(Skycis;Elanco Animal Health,Greenfield,IN)是一种经美国食品及药物管理局(FDA)批准的离子嗜性物质,用于提高生长育肥猪的增重率和饲料效率。我们进行了元回归分析,以评估生长育成猪日粮中添加 narasin 的效果,从而预测其对平均日增重 (ADG)、饲料效率 (G:F) 和胴体产量的影响。我们开发了一个数据库,其中包含 2012 年至 2021 年期间的 21 篇技术报告、摘要和经审阅的论文,代表了 35 项研究的生长性能数据观测结果,研究天数从 35 天到 116 天不等(总体数据)。此外,在这 35 个观测数据中,还使用每周、每两周或每月的表现间隔(周期数据)对单个周期数据(143 个观测数据)进行了评估。建立了回归模型方程,并采用逐步手动前向选择程序对预测变量进行了评估。使用整体数据建立的 ADG 模型包括对照组的 ADG、ADFI 和 G:F,以及添加的 narasin 剂量和 narasin 饲喂时间(分为长于或短于 65 天)。使用总体数据建立的G:F模型中的预测变量包括对照组的ADG、ADFI和G:F以及添加的narasin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Narasin剂量以及Narasin饲喂时间超过65天。在ADG的期间模型中,预测因子包括对照组的ADG、ADFI和G:F、添加的那拉素剂量以及对照组大于或小于105千克的平均体重。对于 G:F 的期间数据,模型选择了对照组的 ADG、ADFI 和 G:F,以及添加的 narasin 剂量。根据结果,添加甲基水杨酸对 ADG 和 G:F 的总体响应是二次方的,并且随着 ADG 和 G:F 的增加而呈下降趋势。单个时期的数据也观察到类似的二次反应。总之,利用数据库中预测变量的中位值,荟萃分析表明,如果连续饲喂 65 天以上,添加 narasin 预计可提高 ADG 1.06% 至 1.65%,G:F 0.71% 至 1.71%,胴体产量提高 0.31%。
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来源期刊
Translational Animal Science
Translational Animal Science Veterinary-Veterinary (all)
CiteScore
2.80
自引率
15.40%
发文量
149
审稿时长
8 weeks
期刊介绍: Translational Animal Science (TAS) is the first open access-open review animal science journal, encompassing a broad scope of research topics in animal science. TAS focuses on translating basic science to innovation, and validation of these innovations by various segments of the allied animal industry. Readers of TAS will typically represent education, industry, and government, including research, teaching, administration, extension, management, quality assurance, product development, and technical services. Those interested in TAS typically include animal breeders, economists, embryologists, engineers, food scientists, geneticists, microbiologists, nutritionists, veterinarians, physiologists, processors, public health professionals, and others with an interest in animal production and applied aspects of animal sciences.
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