Literature DB >> 33572868

Proxy Measures and Novel Strategies for Estimating Nitrogen Utilisation Efficiency in Dairy Cattle.

Anna Lavery1, Conrad P Ferris1.   

Abstract

The efficiency with which dairy cows convert dietary nitrogen (N) to milk N is generally low (typically 25%). As a result, much of the N consumed is excreted in manure, from which N can be lost to the environment. Therefore there is increasing pressure to reduce N excretion and improve N use efficiency (NUE) on dairy farms. However, assessing N excretion and NUE on farms is difficult, thus the need to develop proximate measures that can provide accurate estimates of nitrogen utilisation. This review examines a number of these proximate measures. While a strong relationship exists between blood urea N and urinary N excretion, blood sampling is an invasive technique unsuitable for regular herd monitoring. Milk urea N (MUN) can be measured non-invasively, and while strong relationships exist between dietary crude protein and MUN, and MUN and urinary N excretion, the technique has limitations. Direct prediction of NUE using mid-infrared analysis of milk has real potential, while techniques such as near-infrared spectroscopy analysis of faeces and manure have received little attention. Similarly, techniques such as nitrogen isotope analysis, nuclear magnetic resonance spectroscopy of urine, and breath ammonia analysis may all offer potential in the future, but much research is still required.

Entities:  

Keywords:  blood urea; mid-infrared spectroscopy; milk urea; near-infrared spectroscopy; nitrogen excretion

Year:  2021        PMID: 33572868      PMCID: PMC7911641          DOI: 10.3390/ani11020343

Source DB:  PubMed          Journal:  Animals (Basel)        ISSN: 2076-2615            Impact factor:   2.752


  55 in total

1.  Assessment of rumen processes by selected-ion-flow-tube mass spectrometric analysis of rumen gases.

Authors:  R J Dewhurst; R T Evans; T T Mottram; P Spanĕl; D Smith
Journal:  J Dairy Sci       Date:  2001-06       Impact factor: 4.034

2.  The relationship of milk urea nitrogen to urine nitrogen excretion in Holstein and Jersey cows.

Authors:  A J Kauffman; N R St-Pierre
Journal:  J Dairy Sci       Date:  2001-10       Impact factor: 4.034

3.  Effects of dietary crude protein and rumen-degradable protein concentrations on urea recycling, nitrogen balance, omasal nutrient flow, and milk production in dairy cows.

Authors:  T Mutsvangwa; K L Davies; J J McKinnon; D A Christensen
Journal:  J Dairy Sci       Date:  2016-05-26       Impact factor: 4.034

Review 4.  Ammonia and urea transport across the rumen epithelium: a review.

Authors:  Khalid Abdoun; Friederike Stumpff; Holger Martens
Journal:  Anim Health Res Rev       Date:  2006 Jun-Dec       Impact factor: 2.615

5.  Evaluation of between-cow variation in milk urea and rumen ammonia nitrogen concentrations and the association with nitrogen utilization and diet digestibility in lactating cows.

Authors:  P Huhtanen; E H Cabezas-Garcia; S J Krizsan; K J Shingfield
Journal:  J Dairy Sci       Date:  2015-03-12       Impact factor: 4.034

6.  Comparison of analytical methods and the influence of milk components on milk urea nitrogen recovery.

Authors:  A B Peterson; K R French; E Russek-Cohen; R A Kohn
Journal:  J Dairy Sci       Date:  2004-06       Impact factor: 4.034

7.  Evaluation of milk urea nitrogen as a diagnostic of protein feeding.

Authors:  J Nousiainen; K J Shingfield; P Huhtanen
Journal:  J Dairy Sci       Date:  2004-02       Impact factor: 4.034

8.  Technical note: Nitrogen isotopic fractionation can be used to predict nitrogen-use efficiency in dairy cows fed temperate pasture.

Authors:  L Cheng; A J Sheahan; S J Gibbs; A G Rius; J K Kay; S Meier; G R Edwards; R J Dewhurst; J R Roche
Journal:  J Anim Sci       Date:  2013-10-01       Impact factor: 3.159

9.  Metabolic profiling of early-lactation dairy cows using milk mid-infrared spectra.

Authors:  T D W Luke; S Rochfort; W J Wales; V Bonfatti; L Marett; J E Pryce
Journal:  J Dairy Sci       Date:  2018-12-26       Impact factor: 4.034

10.  Soybean Trade: Balancing Environmental and Socio-Economic Impacts of an Intercontinental Market.

Authors:  Annelies Boerema; Alain Peeters; Sanne Swolfs; Floor Vandevenne; Sander Jacobs; Jan Staes; Patrick Meire
Journal:  PLoS One       Date:  2016-05-31       Impact factor: 3.240

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  4 in total

1.  Plasma concentrations of branched-chain amino acids differ with Holstein genetic strain in pasture-based dairy systems.

Authors:  Ezequiel Jorge-Smeding; Mariana Carriquiry; Gonzalo Cantalapiedra-Hijar; Alejandro Mendoza; Ana Laura Astessiano
Journal:  Sci Rep       Date:  2021-11-17       Impact factor: 4.379

2.  Contribution of Ruminal Bacteriome to the Individual Variation of Nitrogen Utilization Efficiency of Dairy Cows.

Authors:  Min Li; Huiyue Zhong; Ming Li; Nan Zheng; Jiaqi Wang; Shengguo Zhao
Journal:  Front Microbiol       Date:  2022-03-18       Impact factor: 5.640

3.  Can machine learning algorithms perform better than multiple linear regression in predicting nitrogen excretion from lactating dairy cows.

Authors:  Xianjiang Chen; Huiru Zheng; Haiying Wang; Tianhai Yan
Journal:  Sci Rep       Date:  2022-07-21       Impact factor: 4.996

4.  Ruminal background of predisposed milk urea (MU) concentration in Holsteins.

Authors:  Hanne Honerlagen; Henry Reyer; Dierck Segelke; Carolin Beatrix Maria Müller; Marie Christin Prahl; Siriluck Ponsuksili; Nares Trakooljul; Norbert Reinsch; Björn Kuhla; Klaus Wimmers
Journal:  Front Microbiol       Date:  2022-09-13       Impact factor: 6.064

  4 in total

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