Suppr超能文献

受营养物消耗影响的犊牛开食料能量估计值。1. 预测犊牛开食料能量变化的消化模型评估。

Estimates of calf starter energy affected by consumption of nutrients. 1. Evaluation of models to predict changing digestion on energy content in calf starters.

机构信息

Nurture Research Center, Provimi North America, Cargill Animal Nutrition, Brookville, OH 45309.

Nurture Research Center, Provimi North America, Cargill Animal Nutrition, Brookville, OH 45309.

出版信息

J Dairy Sci. 2019 Mar;102(3):2232-2241. doi: 10.3168/jds.2018-15353. Epub 2019 Jan 26.

Abstract

Apparent total-tract digestibility data from 3 published studies with calves from 0 to 4 mo of age were used to evaluate National Research Council (2001) estimates of metabolizable energy (ME) in calf starters (CS). Calves (n = 83) or pens of calves (n = 24) were used in model development. In each study, 48 Holstein bull calves (2 to 3 d of age at initiation of each study) were fed varying amounts of milk replacer with CS and water for ad libitum consumption. Calf starters varied in nutrient content and form (pelleted, texturized, or mixed with 5% grass hay and fed as a total mixed ration). Apparent total-tract digestibility was measured at various ages from 3 to 16 wk. Feed and feces were collected from 20 calves per trial during 5-d collection periods during the first 56 d of each trial. In 2 studies, calves were grouped in pens (4 calves/pen) for a second 56-d measurement period. Fecal collections were repeated occasionally during the second period. Total-tract digestibilities (n = 207) of neutral detergent fiber, nonfiber carbohydrates, crude protein, and fat were used to calculate digestible energy (DE) and ME in CS using equations from the 2001 Dairy National Research Council. Three modeling approaches were constructed to evaluate changing digestion of nutrients, DE, and ME in CS, including linear mixed models, broken-line regression, and exponential models. Linear mixed models provided best model fit statistics for digestion of crude protein, ether extract, neutral detergent fiber, and ME. Exponential models were optimal for digestion of dry matter and nonfiber carbohydrates. Linear mixed models were selected for evaluation of effects of intake on changing nutrient digestion from CS and amount of DE and ME available at various ages.

摘要

使用来自 3 项针对 0 至 4 月龄犊牛的已发表研究的表观全肠道消化率数据,评估了美国国家研究委员会(2001 年)对犊牛开食料(CS)代谢能(ME)的估计值。模型开发中使用了犊牛(n = 83)或犊牛围栏(n = 24)。在每项研究中,48 头荷斯坦公牛犊牛(每项研究开始时为 2 至 3 日龄)用不同量的代乳粉和 CS 以及水进行自由采食。犊牛开食料的营养成分和形式(颗粒状、膨化状或与 5%干草混合并作为全混合日粮饲喂)不同。在 3 至 16 周龄时,以不同年龄测量表观全肠道消化率。在每个试验的前 56 天内,在 5 天的采集期内,从每个试验的 20 头犊牛中采集饲料和粪便。在两项研究中,犊牛在围栏中分组(4 头犊牛/围栏)进行第二个 56 天的测量期。在第二个期间偶尔会重复粪便收集。使用 2001 年奶牛美国国家研究委员会的方程,从 207 个中性洗涤剂纤维、非纤维碳水化合物、粗蛋白和脂肪的全肠道消化率数据中计算 CS 中的可消化能(DE)和 ME。构建了三种建模方法来评估 CS 中营养物质、DE 和 ME 的消化变化,包括线性混合模型、折线回归和指数模型。线性混合模型为粗蛋白、乙醚提取物、中性洗涤剂纤维和 ME 的消化提供了最佳模型拟合统计数据。指数模型是干物质和非纤维碳水化合物消化的最佳模型。线性混合模型被选择用于评估 CS 中摄入对改变营养消化以及不同年龄时可用 DE 和 ME 数量的影响。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验