production diseases
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2021 ◽  
Vol 13 (16) ◽  
pp. 9044
Author(s):  
Susanne Hoischen-Taubner ◽  
Jonas Habel ◽  
Verena Uhlig ◽  
Eva-Marie Schwabenbauer ◽  
Theresa Rumphorst ◽  
...  

The levels of production diseases (PD) and the cow replacement rate are high in dairy farming. They indicate excessive production demands on the cow and a poor state of animal welfare. This is the subject of increasing public debate. The purpose of this study was to assess the effect of production diseases on the economic sustainability of dairy farms. The contributions of individual culled cows to the farm’s economic performance were calculated, based on milk recording and accounting data from 32 farms in Germany. Cows were identified as ‘profit cows’ when they reached their individual ‘break-even point’. Data from milk recordings (yield and indicators for PD) were used to cluster farms by means of a principal component and a cluster analysis. The analysis revealed five clusters of farms. The average proportion of profit cows was 57.5%, 55.6%, 44.1%, 29.4% and 19.5%. Clusters characterized by a high proportion of cows with metabolic problems and high culling and mortality rates had lower proportions of profit cows, somewhat irrespective of the average milk-yield per cow. Changing the perception of PD from considering it as collateral damage to a threat to the farms’ economic viability might foster change processes to reduce production diseases.


Author(s):  
Lorenzo E. Hernández-Castellano ◽  
◽  
Klaus L. Ingvartsen ◽  
Mogens A. Krogh ◽  
◽  
...  

This chapter provides an overview on the different aspects concerning disease surveillance programs. The chapter also describes a specific and conceptual framework related to disease surveillance of production diseases within the individual herd, including both animals and farmers. Regarding farmers, this chapter focus on the justification and purposes for doing disease surveillance as well as the possible decisions and actions they can take to enhance the efficiency of the disease surveillance programs. It also discusses some of the most novel biomarkers that can be potentially used to identify pre-clinical disease states, which will have the potential to minimize the negative effects of production diseases. Finally, the chapter looks into the future perspectives and possible challenges that future automated disease surveillance systems will need to face in order to keep an optimal animal health, performance and welfare within the individual herd.


2021 ◽  
Vol 2 ◽  
Author(s):  
John Webster

The dairy industry is open to criticism on several fronts: obesity and ill health among the affluent, high demand for crops that could be consumed more sustainably and more equitably by ourselves, environmental damage and climate change, and abuse of animal welfare through production diseases and denial of normal patterns of behaviour. All these criticisms are valid. It is necessary therefore to examine in depth the nature and extent of specific problems to see which, if any, are inevitable, which can be mitigated and which can be avoided altogether. Dairy cattle, like all ruminants, can be sustained wholly, or in part on complementary feeds; grasses and crop residues that cannot be fed directly to humans. Fed appropriate diets dairy cows can produce more energy and protein for human consumption than they consume. The greenhouse gas, methane is an inevitable consequence of rumen fermentation. High yielding cows in confinement produce less methane per litre of milk. There is some scope for reducing methane production through manipulation of rumen fermentation but the impact is likely to be small. The most serious welfare abuses can be linked to genetic and management strategies designed to maximise milk yield from individual cows. These manifest in production diseases and metabolic exhaustion, both leading to premature culling. All these problems; too much milk, too much food waste, too much methane, too many stressed cows, are matters of degree. The poison is in the dose. Thus, solutions will not come from radical advances in biological science but public and political exercises in moderation.


Author(s):  
Bernard Rollin

Abstract This chapter describes the different concepts of animal welfare, welfare problems caused by a loss of animal husbandry principles, production diseases and pathologies, the importance of the animal's innate nature and the welfare and ethical issues that animal scientists and veterinarians must address.


2020 ◽  
Vol 98 (Supplement_1) ◽  
pp. S1-S3 ◽  
Author(s):  
Josef J Gross ◽  
Rupert M Bruckmaier

PLoS ONE ◽  
2020 ◽  
Vol 15 (4) ◽  
pp. e0231338 ◽  
Author(s):  
Jarkko Niemi ◽  
Richard Bennett ◽  
Beth Clark ◽  
Lynn Frewer ◽  
Philip Jones ◽  
...  

2019 ◽  
Vol 11 (1) ◽  
pp. 289-312 ◽  
Author(s):  
Henk Hogeveen ◽  
Wilma Steeneveld ◽  
Christopher A. Wolf

Mastitis is the most important production disease in dairy farming, leading to considerable inefficiency in production. In 1992, an important paper describing a simple but very useful economic framework for production diseases in animal farming was published. In a systemic literature search, 77 articles were found on the economics of mastitis. Throughout the years, little progress has been made to improve the economic framework regarding production diseases in animal farming, but methodological progress was made in the biological aspect of bioeconomic models. Research focused on the failure costs of mastitis and cost-benefit analyses of cow-level decisions (treatments). The average failure costs of mastitis were $US131 per cow per year. Future economic research should focus more on the utilization of currentlyavailable large databases. The economic framework should be extended toward mastitis as an externality of dairy production (welfare), the externalities of optimal use of chemical and pharmaceutical compounds (antimicrobials), and explaining farmers’ decisions regarding mastitis.


2019 ◽  
Vol 47 (04) ◽  
pp. 246-255
Author(s):  
Simone Gruber ◽  
Rolf Mansfeld

AbstractThe transition period, 3 weeks before and 3 weeks after calving, is inevitably accompanied by a negative energy balance, which sometimes causes metabolic disturbances, such as ketosis. Subclinical ketosis (SCK) is defined as an increase in the β-hydroxybutyrate (BHB) concentration to ≥ 1.2 mmol/l in the blood. According to a recent study, a value of ≥ 0.7 mmol/l of non-esterified fatty acids (NEFA) in the blood indicates the potential development of the poor metabolic adaption syndrome (PMAS). With a herd prevalence of 21 %, and an incidence of approximately 40 % within the first 2 weeks after calving, SCK is a relevant herd health problem. The milk yield decreases in the first 2 weeks postpartum by 3–5.3 kg/d for each ketotic cow, and the total milk reduction through the whole lactation period of 305 days averages 112 kg (SD 89 kg). Although the cow does not display any clinical signs of ketosis at this stage, the risk of developing associated production diseases like retained placenta, metritis, displaced abomasum, lameness and clinical ketosis increases and the expected performance in terms of milk production will decrease. The herd health status deteriorates and the risk for early culling increases. Another impact factor is the financial aspect, which includes costs for early death, reduced milk production, reproduction losses, and associated production diseases. In the literature, the calculated costs per SCK case vary between $ 78 and $ 289. The gold standard diagnostic test for SCK is the photometric measurement of BHB in blood. This method is accurate, but results are delayed due to the required laboratory analysis. There are also some rapid cow-side tests, i. e. urine or milk strip tests available to identify ketotic cows. The common disadvantage of these methods is that they are not suitable for herd health monitoring because of the need to collect samples from each cow manually and the high rates of false negative results. However, Fourier transform infrared spectroscopy is suitable for herd health monitoring. It is already being used for the analysis of milk composition. This inexpensive, rapid and simple technique has a specificity of 83.8 % and a sensitivity of 82.4 %. Therefore, FTIR is an early and easy method for detecting ketotic cows, that could help reduce financial and performance losses associated with ketosis.


PLoS ONE ◽  
2019 ◽  
Vol 14 (5) ◽  
pp. e0217290 ◽  
Author(s):  
Katharina Loreck ◽  
Sylvia Mitrenga ◽  
Diana Meemken ◽  
Regina Heinze ◽  
Annett Reissig ◽  
...  

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