Capturing systemic interrelationships by an impact analysis to help reduce production diseases in dairy farms

Krieger, Margret; Hoischen-Taubner, Susanne; Emanuelson, Ulf; Blanco‐Penedo, Isabel; Joybert, Manon de; Duval, Julie; Sjöström, Karin; Jones, Philip; Sundrum, Albert

doi:10.1016/j.agsy.2017.01.022

Cited by 11 publications

(5 citation statements)

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“…Further research in the field of social science [34][35][36], veterinary advice [37][38][39] and agricultural extension and knowledge exchange [40][41][42] focused on barriers to the implementation of new knowledge aiming to reduce the prevalence of production diseases and discussed ethical perspectives [7,43,44]. Some studies explicitly addressed the systemic nature of animal health in the farming context [45] and followed a transdisciplinary and participatory research design involving expertise from different disciplines as well as stakeholders' knowledge [46,47].…”

Section: Insufficient Knowledge Transfer Regarding Animal Healthmentioning

confidence: 99%

The Whole and the Parts—A New Perspective on Production Diseases and Economic Sustainability in Dairy Farming

et al. 2021

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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.

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Section: Insufficient Knowledge Transfer Regarding Animal Healthmentioning

confidence: 99%

The Whole and the Parts—A New Perspective on Production Diseases and Economic Sustainability in Dairy Farming

et al. 2021

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“…Thus, health problems require a diagnostic procedure at the farm level. This diagnosis needs to include the most relevant influencing factors involved in the multifactorial processes as well as estimations about the most effective and efficient strategies in the farm-specific context [3,67,68].…”

Section: Dealing With Complexitymentioning

confidence: 99%

Nutrition and Health-Management in Dairy Production

Sundrum¹

2020

Livestock Health and Farming

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The 'barrel model' of an organism's resource allocation pattern represents the basics for feeding regimes in farm practice. Several objections can be raised against the underlying theoretical assumptions, the generalizations derived from them, and the application of the model in practice. The concept particularly neglects the role of glucose and the increased competition for it between lactocytes and immune cells. It also fails to recognize the large variation between and within dairy herds. Lack of success in reducing production diseases calls for a modified approach-one which not only deals appropriately with the large variation between and within the dairy herds but also strives to balance the existing productivity/animal health/financial trade-offs. Instead of following general procedures, nutrient supply and outflow via milk have to be adapted to the individual requirements and health risks. To do so, the percentage of dairy cows affected by production diseases and failing to cope is a key criterion. Benchmarking of production diseases could act as an orientation point for farmers to compare their own position to other farms and thus set realistic target figures. Furthermore, means and measures to achieve goals have to be validated in the context in which they are used.

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“…Increased loss of milk due to nutritional disorders leads to decreased availability and increased purchase costs to consumers threatening nutritional security of the producers (Hogeveen, Steeneveld and Wolf 2019;Jodlowski et al 2016;Nilsson et al 2019). Economic literature provides evidence on the spread and persistence of bacterial and viral dairy animal diseases (Hayer et al 2017;Sok and Fischer 2020), losses associated with it (Gohin and Rault 2013;Govindaraj et al 2017;Govindaraj et al 2021;Boisvert, Kay and Turvey 2012;Barratt et al 2018) and the control/prevention strategies (Chi et al 2002;Rich and Winter-Nelson 2007;Hennessy 2007;Rich, Rolandholst and Otte 2014;Fadiga and Katjiuongua 2014;Wang and Hennessy 2015;Schroeder et al 2015;Krieger et al 2017;Wang and Hennessy 2014).…”

Section: Introductionmentioning

confidence: 99%

“…Although metabolic disorders are a result of complex interactions between risk factors, it can be prevented by the right management decisions (Krieger et al 2017). Blanc et al (2014) discusses various approaches available for preventing the MF; the first is feeding anionic salts (negative dietary cationanion difference) before parturition and second, oral or intravenous Ca supplementation instantly after calving.…”

Section: Introductionmentioning

confidence: 99%

Prevention Is Better Than Cure: Experimental Evidence From Milk Fever Incidence in Dairy Animals of Haryana, India

et al. 2021

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Calcium deficiency in high yielding bovines during calving causes "milk fever" which leads to economic losses of around ₹ 1,000 crores (US $ 137 million) per annum in Haryana, India. With increasing milk production, the risk of milk fever is continuously rising. In the context, we aim to address the most fundamental research question: What is the effect of a preventive health product (anionic mineral mixture (AMM)) on milk fever incidence, milk productivity and farmers" income? In an effort to contribute to the scanty economic literature on effect of preventive measures on nutritional deficiency disorders in dairy animals, specifically, on AMM effects in India, this study uses a randomized controlled design to estimate internally valid estimates. Using data from 200 dairy farms, results indicate that milk fever incidence decreases from 21% at baseline to 2% in treated animals at followup. Further, AMM leads to a 12% and 38% increase in milk yield and farmer"s net income, respectively. Profits earned due to the prevention of milk fever [₹ 16,000 (US$ 218.7)] overweighs the losses from milk fever [₹ 4,000 (US$ 54.7)]; thus, prevention using AMM is better than cure.

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Capturing systemic interrelationships by an impact analysis to help reduce production diseases in dairy farms

Abstract: Capturing systemic interrelationships by an impact analysis to help reduce production diseases in dairy farms. Agricultural Systems, 153. pp. 4352.

Cited by 11 publications

References 35 publications

The Whole and the Parts—A New Perspective on Production Diseases and Economic Sustainability in Dairy Farming

The Whole and the Parts—A New Perspective on Production Diseases and Economic Sustainability in Dairy Farming

Nutrition and Health-Management in Dairy Production

Prevention Is Better Than Cure: Experimental Evidence From Milk Fever Incidence in Dairy Animals of Haryana, India

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