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加利福尼亚州5个奶牛场配制的营养成分与供应的营养成分的差异。

Variation in nutrients formulated and nutrients supplied on 5 California dairies.

作者信息

Rossow H A, Aly S S

机构信息

Veterinary Medicine Teaching and Research Center, School of Veterinary Medicine, University of California, Davis, 18830 Road 112, Tulare 93274; Department of Population Health and Reproduction, School of Veterinary Medicine, University of California, Davis, One Shields Avenue, CA 95616.

Veterinary Medicine Teaching and Research Center, School of Veterinary Medicine, University of California, Davis, 18830 Road 112, Tulare 93274; Department of Population Health and Reproduction, School of Veterinary Medicine, University of California, Davis, One Shields Avenue, CA 95616.

出版信息

J Dairy Sci. 2013;96(11):7371-7381. doi: 10.3168/jds.2013-7084. Epub 2013 Sep 12.

Abstract

Computer models used in ration formulation assume that nutrients supplied by a ration formulation are the same as the nutrients presented in front of the cow in the final ration. Deviations in nutrients due to feed management effects such as dry matter changes (i.e., rain), loading, mixing, and delivery errors are assumed to not affect delivery of nutrients to the cow and her resulting milk production. To estimate how feed management affects nutrients supplied to the cow and milk production, and determine if nutrients can serve as indexes of feed management practices, weekly total mixed ration samples were collected and analyzed for 4 pens (close-up cows, fresh cows, high-milk-producing, and low-milk-producing cows, if available) for 7 to 12 wk on 5 commercial California dairies. Differences among nutrient analyses from these samples and nutrients from the formulated rations were analyzed by PROC MIXED of SAS (SAS Institute Inc., Cary, NC). Milk fat and milk protein percentages did not vary as much [coefficient of variation (CV) = 18 to 33%] as milk yield (kg; CV = 16 to 47 %) across all dairies and pens. Variability in nutrients delivered were highest for macronutrient fat (CV = 22%), lignin (CV = 15%), and ash (CV = 11%) percentages and micronutrients Fe (mg/kg; CV = 48%), Na (%; CV = 42%), and Zn (mg/kg; CV = 38%) for the milking pens across all dairies. Partitioning of the variability in random effects of nutrients delivered and intraclass correlation coefficients showed that variability in lignin percentage of TMR had the highest correlation with variability in milk yield and milk fat percentage, followed by fat and crude protein percentages. But, variability in ash, fat, and lignin percentages of total mixed ration had the highest correlation with variability in milk protein percentage. Therefore, lignin, fat, and ash may be the best indices of feed management to include effects of variability in nutrients on variability in milk yield, milk fat, and milk protein percentages in ration formulation models.

摘要

日粮配方中使用的计算机模型假定,日粮配方提供的营养素与最终日粮中呈现在奶牛面前的营养素相同。由于饲料管理影响(如干物质变化,即降雨)、装载、混合和输送误差导致的营养素偏差,被假定不会影响向奶牛提供营养素以及由此产生的产奶量。为了估计饲料管理如何影响向奶牛提供的营养素和产奶量,并确定营养素是否可作为饲料管理实践的指标,在加利福尼亚州的5个商业奶牛场,每周采集4组牛舍(围产前期奶牛、产奶牛、高产奶牛和低产奶牛,如有)的全混合日粮样本,持续7至12周,并进行分析。通过SAS(SAS Institute Inc.,卡里,北卡罗来纳州)的PROC MIXED程序分析这些样本的营养成分分析结果与配方日粮营养成分之间的差异。在所有奶牛场和牛舍中,乳脂率和乳蛋白率的变化幅度[变异系数(CV)=18%至33%]不如产奶量(千克;CV=16%至47%)大。所有奶牛场挤奶牛舍的常量营养素脂肪(CV=22%)、木质素(CV=15%)和灰分(CV=11%)百分比以及微量营养素铁(毫克/千克;CV=48%)、钠(%;CV=42%)和锌(毫克/千克;CV=38%)的营养素输送变异性最高。对营养素输送随机效应的变异性进行划分并计算组内相关系数,结果表明,全混合日粮木质素百分比的变异性与产奶量和乳脂率的变异性相关性最高,其次是脂肪和粗蛋白百分比。但是,全混合日粮灰分、脂肪和木质素百分比的变异性与乳蛋白率的变异性相关性最高。因此,在日粮配方模型中,木质素、脂肪和灰分可能是饲料管理的最佳指标,可用于考量营养素变异性对产奶量、乳脂率和乳蛋白率变异性的影响。

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