Dairy Cattle Herds Management: Methods and Perspectives

A special issue of Animals (ISSN 2076-2615). This special issue belongs to the section "Cattle".

Deadline for manuscript submissions: closed (30 June 2022) | Viewed by 11633

Special Issue Editor


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Guest Editor
Department of Animal Reproduction with Clinic, Faculty of Veterinary Medicine, University of Warmia and Mazury, Oczapowskiego 14, 10-719 Olsztyn, Poland
Interests: cattle; reproduction; endometritis; herd health management

Special Issue Information

Dear Colleagues,

Milk consumption is increasing all over the world, but simultaneously, a trend has been observed in recent decades in a decrease in the number of farms. The consequence of this is an increase in the number of animals in farms that stay on the market, which means that their owners are under pressure to maintain profitability on one side and meet consumer demands concerning animal welfare, use of medicines, and the environmental influence of the modern dairy industry on the other. Thus, the role of herd management and herd health is becoming increasingly important and has to meet the challenges of balancing high yield and reproductive performance, rearing healthy animals during their entire life, decreasing the number of the diseases in cows, and preventing the spread of germs that may influence human health. The next issue is the increased antibiotic resistance both in human and veterinary medicine, mainly caused by the extensive use of these products. forcing farmers, veterinarians, and researchers to develop new strategies to cope with it. 

Original manuscripts that address any aspects of herd management are invited in this Special Issue. Topics of special interest are how the management of the dairy herds will develop to be able to decrease subclinical diseases, limit the use of antibiotics, and implement on-farm methods to analyze health status and production of dairy cows. Additional topics may include effects of proper herd management on the environment or climate.

Dr. Wojciech Barański
Guest Editor

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Keywords

  • Management
  • Herd health
  • Reproductive performance
  • Antibiotics
  • Calves rearing
  • Welfare
  • Environment

Published Papers (3 papers)

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Research

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15 pages, 2004 KiB  
Article
Application of a Bio-Economic Model to Demonstrate the Importance of Health Traits in Herd Management of Lithuanian Dairy Breeds
by Šarūnė Marašinskienė, Rūta Šveistienė, Barbara Kosińska-Selbi, Christin Schmidtmann, Jehan Frans Ettema, Violeta Juškienė and Morten Kargo
Animals 2022, 12(15), 1926; https://0-doi-org.brum.beds.ac.uk/10.3390/ani12151926 - 28 Jul 2022
Cited by 2 | Viewed by 1383
Abstract
Assessing the economic importance of traits is crucial for delivering appropriate breeding goals in dairy cattle breeding. The aim of the present study was to calculate economic values (EV) and assign the importance of health traits for three dairy cattle breeds: Lithuanian Black-and-White [...] Read more.
Assessing the economic importance of traits is crucial for delivering appropriate breeding goals in dairy cattle breeding. The aim of the present study was to calculate economic values (EV) and assign the importance of health traits for three dairy cattle breeds: Lithuanian Black-and-White open population (LBW), Lithuanian Red open population (LR) and Lithuanian Red old genotype (LROG). The EV estimation was carried out using a stochastic bio-economic model SimHerd, which allows the simulation of the expected monetary gain of dairy herds. The simulation model was calibrated for LBW, LR and LROG breeds, taking into account breed-specific phenotypic and economic data. For each trait, two scenarios were simulated with a respective trait at different phenotypic levels. To obtain the EVs, the scenarios were compared with each other in terms of their economic outcomes. In order to avoid the double counting of the effects, the output results were corrected using a multiple regression analysis with mediator variables. The EVs were derived for the traits related to production ECM (energy-corrected milk), fertility, calving traits, calf survival, cow survival and direct health. To demonstrate the importance of health traits in herd management, we provided reliable EVs estimates for functional traits related to herd health. The highest EV for direct health traits, caused by an increase in of 1 percentage point, were those found for mastitis (EUR 1.73 to EUR 1.82 per cow-year) and lameness (EUR 1.07 to EUR 1.27 per cow-year). The total costs per case of ketosis, milk fever and metritis ranged from EUR 1.01 to EUR 1.30, EUR 1.14 to EUR 1.26 and EUR 0.95 to EUR 1.0, respectively. The highest economic values of dystocia were estimated for LROG (EUR −1.32), slightly lower for LBW (EUR −1.31) and LR (EUR −1.23). The results of this study show the importance of health traits to the economic features of cattle herd selection of new breeding goal and this would improve the herd health. The economic evaluation of the functional traits analyzed in this study indicated the significant economic importance of the functional traits in Lithuanian dairy cattle breeds. Full article
(This article belongs to the Special Issue Dairy Cattle Herds Management: Methods and Perspectives)
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14 pages, 799 KiB  
Article
The Effect of Frequency of Fresh Pasture Allocation on the Feeding Behaviour of High Production Dairy Cows
by Jessica G. Pollock, Alan W. Gordon, Kathryn M. Huson and Deborah A. McConnell
Animals 2022, 12(3), 243; https://0-doi-org.brum.beds.ac.uk/10.3390/ani12030243 - 20 Jan 2022
Cited by 13 | Viewed by 2053
Abstract
For ruminants, grazing and ruminating activities are essential in nutrient capture and ultimately animal performance however these activities can demand significant time and energy. This study evaluated the effect of three different pasture allocation frequencies (PAF’s; 12, 24 and 36 h) on the [...] Read more.
For ruminants, grazing and ruminating activities are essential in nutrient capture and ultimately animal performance however these activities can demand significant time and energy. This study evaluated the effect of three different pasture allocation frequencies (PAF’s; 12, 24 and 36 h) on the feeding behaviour of grazing dairy cows. Eighty-seven spring calving dairy cows were divided into three treatments. Animals were rotationally grazed with fixed paddock sizes of 0.14 ha, 0.28 ha and 0.42 ha paddocks for the 12 h, 24 h and 36 h treatments, respectively. Animals (14 per treatment) were fitted with behaviour halters that monitored feeding activity. Diurnal feeding patterns were evident for all animals irrespective of PAF, concentrating the majority of grazing during daytime (90%) and ruminating activity during night (73%). Treatment significantly affected feeding behavior patterns. Peak grazing activity coincided with fresh pasture allocation in the 12 h and 24 h treatments. In the 36 h treatment, grazing was more evenly distributed over each 24 h period with peak grazing activity witnessed daily between 17:00 and 19:00 regardless of fresh pasture allocation, suggesting lack of anticipation of fresh feed delivery. In the 12 h treatment primiparous animals exhibited greater grazing and ruminating activity relative to multiparous animals in the 12 h treatment highlighting the impact of competition for resources within each feed on lower dominance animals. Full article
(This article belongs to the Special Issue Dairy Cattle Herds Management: Methods and Perspectives)
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Review

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19 pages, 761 KiB  
Review
How to Predict Parturition in Cattle? A Literature Review of Automatic Devices and Technologies for Remote Monitoring and Calving Prediction
by Martina Crociati, Lakamy Sylla, Arianna De Vincenzi, Giuseppe Stradaioli and Maurizio Monaci
Animals 2022, 12(3), 405; https://0-doi-org.brum.beds.ac.uk/10.3390/ani12030405 - 08 Feb 2022
Cited by 14 | Viewed by 7332
Abstract
Cattle farming is facing an increase in number of animals that farmers must care for, together with decreasing time for observation of the single animal. Remote monitoring systems are needed in order to optimize workload and animal welfare. Where the presence of personnel [...] Read more.
Cattle farming is facing an increase in number of animals that farmers must care for, together with decreasing time for observation of the single animal. Remote monitoring systems are needed in order to optimize workload and animal welfare. Where the presence of personnel is constant, for example in dairy farms with great number of lactating cows or with three milking/day, calving monitoring systems which send alerts during the prodromal stage of labor (stage I) could be beneficial. On the contrary, where the presence of farm personnel is not guaranteed, for example in smaller farms, systems which alert at the beginning of labor (stage II) could be preferred. In this case, time spent observing periparturient animals is reduced. The reliability of each calving alarm should also be considered: automatic sensors for body temperature and activity are characterized by a time interval of 6–12 h between the alarm and calving. Promising results have been shown by devices which could be placed within the vaginal canal, thus identifying the beginning of fetal expulsion and optimizing the timing of calving assistance. However, some cases of non-optimal local tolerability and cow welfare issues are reported. Future research should be aimed to improve Sensitivity (Se), Specificity (Sp) and Positive Predictive Value (PPV) of calving alert devices in order to decrease the number of false positive alarms and focusing on easy-to-apply, re-usable and well tolerated products. Full article
(This article belongs to the Special Issue Dairy Cattle Herds Management: Methods and Perspectives)
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