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延长哺乳期母猪泌乳期采食量分析

Analysis of lactation feed intakes for sows with extended lactation lengths.

作者信息

Cabezón F A, Schinckel A P, León Y L, Craig B A

机构信息

Department of Animal Sciences, Purdue University, West Lafayette, IN 47907.

Department of Statistics, Universidad Nacional de Colombia, Bogotá, Colombia.

出版信息

Transl Anim Sci. 2017 Feb 1;1(1):1-25. doi: 10.2527/tas2017-0016. eCollection 2017 Feb.

Abstract

The objectives of this research were to quantify and model daily feed intakes to 28 d of lactation in modern sows. A total of 4,512 daily feed intake (DFI) records were collected for 156 Hypor sows from February 2015 to March 2016. The mean lactation length was 27.9 ± 2.0 d. The data included 9 parity 1, 33 parity 2 and 114 parity 3+ sows. Data were collected using a computerized feeding system (Gestal Solo, JYGA Technologies, Quebec, Canada). The feeding system was used to set an upper limit to DFI for the first 7 d of lactation. Overall, the least-squares means of a model including the random effect of sow indicated that DFI's continued to slowly increase to 28 d of lactation. The DFI data were fitted to Generalized Michaelis-Menten (GMM) and polynomial functions of day of lactation (t). The GMM function [DFI (kg/d) = DFI + (DFI - DFI)(t/K)/[1 + (t/K)]] was fitted with 2 random effects for DFI (dfi) and intercept (dfi) using the NLMIXED procedure in SAS®. The polynomial function DFI (kg/d) = [B + B t + B t + B t + B t] was fitted with three random effects for B, B, and B using the MIXED procedure in SAS®. Fixed effects models of the two functions had similar Akaike's Information Criteria (AIC) values and mean predicted DFI's. The polynomial function with 3 random effects provided a better fit to the data based on R 30 (0.81 versus 0.79), AIC (14,709 versus 15,158) and RSD (1.204 versus 1.321) values than the GMM function with two random effects. The random effect for B in the polynomial function allowed for the fitting of the function to lactation records that had decreased DFI after 15 d of lactation. The random effects for the polynomial function were used to sort the lactation records into three groups based on the derivative of the function at 21 d of lactation. Lactation records of the three groups had similar DFI the first two weeks of lactation (P > 0.40). The three groups of sows had substantially different DFI's after 18 d of lactation (P < 0.028). The differences in both actual and predicted DFI's between the three groups increased with each day of lactation to day 28 (P < 0.001). Mixed model polynomial functions can be used to identify sows with different patterns of DFI after 15 d of lactation.

摘要

本研究的目的是对现代母猪泌乳至28天的每日采食量进行量化并建立模型。2015年2月至2016年3月,共收集了156头海波尔母猪的4512条每日采食量(DFI)记录。平均泌乳期为27.9±2.0天。数据包括9头初产母猪、33头二胎母猪和114头三胎及以上母猪。数据通过计算机化饲喂系统(Gestal Solo,JYGA Technologies,魁北克,加拿大)收集。该饲喂系统用于设定泌乳前7天的DFI上限。总体而言,包含母猪随机效应的模型的最小二乘均值表明,DFI持续缓慢增加至泌乳28天。DFI数据拟合了广义米氏(GMM)函数和泌乳天数(t)的多项式函数。使用SAS®中的NLMIXED过程,对GMM函数[DFI(kg/d)= DFI +(DFI - DFI)(t/K)/[1 +(t/K)]]拟合了DFI(dfi)和截距(dfi)的2个随机效应。多项式函数DFI(kg/d)= [B + B t + B t + B t + B t]使用SAS®中的MIXED过程拟合了B、B和B的3个随机效应。两个函数的固定效应模型具有相似的赤池信息准则(AIC)值和平均预测DFI。基于R 30(0.81对0.79)、AIC(14709对15158)和残差标准差(RSD)(1.204对1.321)值,具有3个随机效应的多项式函数比具有2个随机效应的GMM函数对数据的拟合更好。多项式函数中B的随机效应使得该函数能够拟合泌乳15天后DFI下降的泌乳记录。基于多项式函数在泌乳21天的导数,利用随机效应将泌乳记录分为三组。三组泌乳记录在泌乳的前两周具有相似的DFI(P>0.40)。三组母猪在泌乳18天后的DFI有显著差异(P<0.028)。三组之间实际和预测DFI的差异随着泌乳至28天的每一天而增加(P<0.001)。混合模型多项式函数可用于识别泌乳15天后具有不同DFI模式的母猪。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cfa3/7243918/bf7e374c102c/tas2017.0016fig1.jpg

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