Pastures and fodder for feeding equids 3000 years ago. The Can Roqueta site (Barcelona, Spain) as a model of equine herd management

2021 ◽  
Author(s):  
Silvia Albizuri ◽  
Aurora Grandal‐D’Anglade ◽  
F. Javier López‐Cachero
Keyword(s):  
Herd Management

scholarly journals Welfare Health and Productivity in Commercial Pig Herds

Animals ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 1176
Author(s):  
Przemysław Racewicz ◽  
Agnieszka Ludwiczak ◽  
Ewa Skrzypczak ◽  
Joanna Składanowska-Baryza ◽  
Hanna Biesiada ◽  
...  
Keyword(s):  
Radio Frequency Identification ◽  
Vital Signs ◽  
Visual Assessment ◽  
Early Warning Systems ◽  
Warning Systems ◽  
Herd Management ◽  
Pork Production ◽  
Antimicrobial Substances ◽  
Non Invasive ◽  
Frequency Identification

In recent years, there have been very dynamic changes in both pork production and pig breeding technology around the world. The general trend of increasing the efficiency of pig production, with reduced employment, requires optimisation and a comprehensive approach to herd management. One of the most important elements on the way to achieving this goal is to maintain animal welfare and health. The health of the pigs on the farm is also a key aspect in production economics. The need to maintain a high health status of pig herds by eliminating the frequency of different disease units and reducing the need for antimicrobial substances is part of a broadly understood high potential herd management strategy. Thanks to the use of sensors (cameras, microphones, accelerometers, or radio-frequency identification transponders), the images, sounds, movements, and vital signs of animals are combined through algorithms and analysed for non-invasive monitoring of animals, which allows for early detection of diseases, improves their welfare, and increases the productivity of breeding. Automated, innovative early warning systems based on continuous monitoring of specific physiological (e.g., body temperature) and behavioural parameters can provide an alternative to direct diagnosis and visual assessment by the veterinarian or the herd keeper.

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

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

Staphylococci in dairy goats and human milkers, and the relationship with herd management practices

2019 ◽  
Vol 171 ◽  
pp. 13-22 ◽  
Author(s):  
Kevin L. Anderson ◽  
Rachael Kearns ◽  
Roberta Lyman ◽  
Maria T. Correa
Keyword(s):  
Management Practices ◽  
Dairy Goats ◽  
Herd Management ◽  
The Relationship

scholarly journals Unfounded claims about productivity beyond density for reindeer pastoralism systems

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Audun Stien ◽  
Torkild Tveraa ◽  
Rolf Anker Ims ◽  
Jennifer Stien ◽  
Nigel Gilles Yoccoz
Keyword(s):  
Density Dependence ◽  
Animal Welfare ◽  
Body Mass ◽  
Minor Importance ◽  
Weather Variability ◽  
Herd Management ◽  
Substantial Impact ◽  
Mass Growth ◽  
The Relationship ◽  
Significant Bearing

AbstractWe point out problems with the article Productivity beyond density: A critique of management models for reindeer pastoralism in Norway by Marin and co-workers published in Pastoralism in 2020. In our opinion, there are several misleading claims about the governance of the reindeer pastoralist system in Norway, the Røros model for herd management and density dependence in reindeer herds in their article. We point out the errors in their empirical re-evaluation of previous work on the relationship between reindeer densities and the productivity and slaughter weights in herds. These errors have a significant bearing on their conclusions. We agree that weather variability has a substantial impact on reindeer body mass growth, fecundity and survival, but disagree with Marin et al. when they argue that reindeer densities are of minor importance for reindeer productivity and animal welfare.

scholarly journals Results of an inquiry into 106 farms with small sow herds as a supplementary production. 2. — Herd management

1980 ◽  
Vol 29 (2) ◽  
pp. 207-208
Author(s):  
Frédérique BUISSON ◽  
Christine CAMPION ◽  
M. LE DENMAT
Keyword(s):  
Herd Management

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.

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