scholarly journals Development of a Benchmarking Tool for Dairy Herd Management Using Routinely Collected Herd Records

Animals ◽  
2020 ◽  
Vol 10 (9) ◽  
pp. 1689
Author(s):  
Daniel Warner ◽  
Elsa Vasseur ◽  
Marianne Villettaz Robichaud ◽  
Steve Adam ◽  
Doris Pellerin ◽  
...  
Keyword(s):  
Assessment Tool ◽  
Composite Index ◽  
Dairy Herd ◽  
Dairy Herds ◽  
High Status ◽  
Continuous Assessment ◽  
Livestock Farming ◽  
Eastern Canada ◽  
Herd Management ◽  
The Individual

Continuous assessment of the herd status is important in order to monitor and adjust to changes in the welfare and health status but can be time consuming and expensive. In this study, herd status indicators from routinely collected dairy herd improvement (DHI) records were used to develop a remote herd assessment tool with the aim to help producers and advisors benchmark the herd status and identify herd management issues affecting welfare and health. Thirteen DHI indicators were selected from an initial set of 72 potential indicators collected on 4324 dairy herds in Eastern Canada. Data were normalized to percentile ranks and aggregated to a composite herd status index (HSI) with equal weights among indicators. Robustness analyses indicated little fluctuation for herds with a small HSI (low status) or large HSI (high status), suggesting that herds in need of support could be prioritized and effectively monitored over time, limiting the need for time-consuming farm visits. This tool allows evaluating herds relative to their peers through the composite index and highlighting specific areas with opportunities for improvements through the individual indicators. This procedure could be applied to similar multidimensional livestock farming issues, such as environmental and socio-economic studies.

A use of the computer as an aid in diagnosis of metabolic problems of dairy herds

1971 ◽  
Vol 38 (3) ◽  
pp. 353-362 ◽  
Author(s):  
G. J. Rowlands ◽  
Rita M. Pocock
Keyword(s):  
Metabolic Profile ◽  
Dairy Herd ◽  
Blood Chemistry ◽  
Dairy Herds ◽  
Base Line ◽  
The Individual ◽  
Daily Milk Yield ◽  
Made In ◽  
Daily Milk ◽  
Pictorial Form

SummaryThe contribution that the computer has made in the interpretation and analysis of a metabolic profile test, which is designed to monitor the metabolic health of a dairy herd and assess the adequacy of dietary intake for production, is described. The test is based on an assessment of blood chemistry for any number of variates, which constitute the metabolic profile, measured for randomly selected cows from 3 groups of a herd: dry cows, cows giving intermediate quantities of milk and cows giving high daily yields. The computer program is designed to give an objective and comprehensive assessment of the test in an easily interpretable form based on a pictorial form of print-out. The profile is displayed as a ‘histogram’ presented as standard deviations from the normal base-line, and for each variable a scatter diagram is included presenting the individual variates plotted against the particular animal's daily milk yield.

Comparing the performance of Holstein and Friesian dairy cows on British dairy farms

2002 ◽  
Vol 2002 ◽  
pp. 18-18
Author(s):  
G. E. Pollott ◽  
J. D. Leaver
Keyword(s):  
Dairy Cows ◽  
Dairy Herd ◽  
Dairy Farms ◽  
Dairy Herds ◽  
The Uk ◽  
Friesian Cows

In recent years there has been an influx of Holstein genes into the UK dairy herd, largely achieved by a ‘grading up’ process using imported Holstein semen on Friesian cows. The research reported here investigates this process using performance records from UK dairy herds.

Herd Management Practices Associated with Paratuberculosis Seroprevalence in Dutch Dairy Herds

2003 ◽  
Vol 50 (8) ◽  
pp. 372-377 ◽  
Author(s):  
J. Muskens ◽  
A. R. W. Elbers ◽  
H. J. van Weering ◽  
J. P. T. M. Noordhuizen
Keyword(s):  
Management Practices ◽  
Dairy Herds ◽  
Herd Management

Biomonitoring of Fusarium spp. Mycotoxins: Perspectives for an Individual Exposure Assessment Tool

2010 ◽  
Vol 16 (3) ◽  
pp. 266-276 ◽  
Author(s):  
G. Cano-Sancho ◽  
S. Marin ◽  
A.J. Ramos ◽  
V. Sanchis
Keyword(s):  
Exposure Assessment ◽  
Dietary Habits ◽  
Assessment Tool ◽  
Fusarium Species ◽  
Risk Groups ◽  
Probabilistic Methods ◽  
Fusarium Spp ◽  
Individual Exposure ◽  
The Individual ◽  
Current Exposure

Fusarium species are probably the most prevalent toxin-producing fungi of the northern temperate regions and are commonly found on cereals grown in the temperate regions of America, Europe and Asia. Among the toxins formed by Fusarium we find trichothecenes of the A-type or B-type, zearalenone, fumonisins or nivalenol. The current exposure assessment consists of the qualitative and/or quantitative evaluation based on the knowledge of the mycotoxin occurrence in the food and the dietary habits of the population. This process permits quantifying the mycotoxin dietary intake through deterministic or probabilistic methods. Although these methods are suitable to assess the exposure of populations to contaminants and to identify risk groups, they are not recommended to evaluate the individual exposition, due to a low accuracy and sensitivity. On the contrary, the use of biochemical indicators has been proposed as a suitable method to assess individual exposure to contaminants. In this work, several techniques to biomonitor the exposure to fumonisins, deoxynivalenol, zearalenone or T-2 toxin have been reviewed.

scholarly journals Effect of Business and Dairy Herd Management Practices on the Variable Cost of Producing Milk

1987 ◽  
Vol 70 (8) ◽  
pp. 1701-1709 ◽  
Author(s):  
C.B. Williams ◽  
P.A. Oltenacu ◽  
C.A. Bratton ◽  
R.A. Milligan
Keyword(s):  
Management Practices ◽  
Dairy Herd ◽  
Variable Cost ◽  
Herd Management

scholarly journals Monitoring Scotland’s transitional water fish communities under the EU Water Framework Directive

2021 ◽  
Vol 27 (3) ◽  
pp. 48-67
Author(s):  
M. O’Reilly ◽  
J. Boyle ◽  
S. Nowacki ◽  
M. Elliott ◽  
R. Foster
Keyword(s):  
Water Framework Directive ◽  
Assessment Tool ◽  
Reference Conditions ◽  
Ecological Status ◽  
Fish Communities ◽  
High Status ◽  
Eu Water Framework Directive ◽  
Transitional Waters ◽  
Water Fish ◽  
The Eu

The history of monitoring transitional water fish in Scotland is briefly outlined. The requirements of the EU Water Framework Directive are explained and how this applies to the monitoring of transitional water fish communities in Scotland is described. The development of a monitoring programme for Scotland is outlined, including sampling methods and strategies. Six transitional waters were selected as representative for Scotland covering three different types of transitional water. A multi-metric tool, the Transitional Water Fish Classification Index was used to assess the ecological status of the fish communities in these waters and the operation of the different metrics and the creation of appropriate reference conditions is explained. The assessment tool was applied to survey data from 2005 to 2018, although only the more recent data fully met the tool requirements. The species composition and abundances in the respective transitional waters were compared. The fully valid surveys were all classed as of Good or High status, indicating the fish communities in all the representative transitional waters appeared to be in good ecological health. The efficacy of the different metrics is considered and some issues with Metric 2, enumerating migratory species, are discussed at length. A new multi-metric tool, the Estuarine Multi-metric Fish Index, is briefly discussed and its introduction for the assessments in Scotland is recommended.

scholarly journals The Evaluation of Real Time Milk Analyse Result Reliability in the Czech Republic

2016 ◽  
Vol 64 (4) ◽  
pp. 1155-1166 ◽  
Author(s):  
Oto Hanuš ◽  
Luděk Stádník ◽  
Marcela Klimešová ◽  
Martin Tomáška ◽  
Lucie Hasoňová ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Real Time ◽  
Near Infrared ◽  
Explanatory Power ◽  
Dairy Herd ◽  
Advanced Technology ◽  
Cell Counting ◽  
Measurement Unit ◽  
Real Time System ◽  
Herd Management

The good result reliability of regular analyzes of milk composition could improve the health monitoring of dairy cows and herd management. The aim of this study was the analysis of measurement of abilities and properties of RT (Real Time) system (AfiLab = AfiMilk (NIR measurement unit (near infrared spectroscopy) and electrical conductivity (C) of milk by conductometry) + AfiFarm (calibration and interpretation software)) for the analysis of individual milk samples (IMSs). There were 2 × 30 IMSs in the experiment. The reference values (RVs) of milk components and properties (fat (F), proteins (P), lactose (L), C and the somatic cell count (SCC)) were determined by conventional (direct and indirect: conductometry (C); infrared spectroscopy 1) with the filter technology and 2) with the Fourier transformations (F, P, L); fluoro-opto-electronic cell counting (SCC) in the film on the rotation disc (1) and by flow cytometry (2)) methods. AfiLab method (alternative) showed less close relationships as compared to the RVs as relationships between reference methods. This was expected. However, these relationships (r) were mostly significant: F from .597 to .738 (P ≤ 0.01 and ≤ 0.001); P from .284 to .787 (P > 0.05 and P ≤ 0.001); C .773 (P ≤ 0.001). Correlations (r) were not significant (P > 0.05): L from −.013 to .194; SCC from −.148 to −.133. Variability of the RVs explained the following percentages of variability in AfiLab results: F to 54.4 %; P to 61.9 %; L only 3.8 %; C to 59.7 %. Explanatory power (reliability) of AfiLab results to the animal is increasing with the regularity of their measurements (principle of real time application). Correlation values r (x minus 1.64 × sd for confidence interval (one-sided) at a level of 95 %) can be used for an alternative method in assessing the calibration quality. These limits are F 0.564, P 0.784 and C 0.715 and can be essential with the further implementation of this advanced technology of dairy herd management.

scholarly journals Use of Herd Solutions from a Random Regression Test-Day Model for Diagnostic Dairy Herd Management

2007 ◽  
Vol 90 (5) ◽  
pp. 2563-2568 ◽  
Author(s):  
M. Koivula ◽  
J.I. Nousiainen ◽  
J. Nousiainen ◽  
E.A. Mäntysaari
Keyword(s):  
Dairy Herd ◽  
Random Regression ◽  
Herd Management ◽  
Regression Test
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