Efficiency of dairy farms participating and not participating in veterinary herd health management programs

Derks, Marjolein; Hogeveen, H.; Kooistra, S.R.; Werven, T. van; Tauer, Loren W.

doi:10.1016/j.prevetmed.2014.10.008

Cited by 13 publications

(12 citation statements)

References 21 publications

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“…One of the first attempts to work with farm data was carried out by Vagsholm et al (14). Today, econometric analysis techniques are more widely available and were recently applied in studies on gastro-intestinal nematode infections (15,16), lameness and digestive disorders (17), reproductive disorders (18), and herd health and management programmes (19).…”

Section: Failure Costs: the Example Of Mastitismentioning

confidence: 99%

Assessing the economic impact of an endemic disease: the case of mastitis

Hogeveen¹,

Voort²

2017

Rev. Sci. Tech. OIE

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A large part of the world's resources are used to produce animal products. Efficient use of these resources is important to improve social well-being. Endemic animal diseases decrease production efficiency, because they require a higher level of input to produce the same amount of output or result in a lower output with the same amount of input. The optimal level of production with and without disease differs from farm to farm and depends on varying economic circumstances. Given these difficulties, making an accurate theoretical estimation of the economic impact of endemic diseases is challenging. Current approaches towards the economic assessment of endemic diseases are, therefore, quite pragmatic. For on-farm decision-making, the total costs consist of failure costs and preventive costs. Failure costs are associated with production losses (i.e. decreases in milk production, mortality and culling), treatment costs (i.e. veterinary treatment, drugs, and discarded milk) and the use of other resources associated with the occurrence of disease (i.e. increased labour costs). Preventive costs are associated with preventive measures in terms of equipment, consumables (e.g. diagnostics and chemicals) and the use of other resources to prevent diseases (i.e. increased labour). There is a substitution relationship between failure costs and preventive costs. That means that, in order to maximise profit at the farm level, the amount of resources invested in prevention should be chosen in such a way that total costs are minimised. The most studied endemic disease in animal production is mastitis. Most publications on mastitis only assess failure costs, and studies on assessing the total costs and best methods to determine an optimal level of prevention are scarce. Future challenges lie in researching frameworks that can assist decision-makers to establish optimal prevention levels for endemic diseases.

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Section: Failure Costs: the Example Of Mastitismentioning

confidence: 99%

Assessing the economic impact of an endemic disease: the case of mastitis

Hogeveen¹,

Voort²

2017

Rev. Sci. Tech. OIE

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“…Models can be stochastic or deterministic and they are built to analyze and describe the implications of several components such as management, environment, nutrition, genetics, health, reproduction, etc. (Macciotta et al 2005a, Bergman et al 2012, Eastwood et al 2012, Nguyen et al 2013, Derks et al 2014, Hansson et al 2014, Murphy et al 2014). …”

Section: Introductionmentioning

confidence: 99%

The investigation of correlation among selected biochemical parameters and vital signs in dairy herd to design the bio-cybernetic dairy cow model

Twardoń

Zalewski

Nowicki

et al. 2016

Polish Journal of Veterinary Sciences

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The paper presents investigations of the relationship between the biochemical parameters and vital signs in dairy cows. We analyzed the welfare and functioning of a dairy herd using biochemical parameters and vital signs. Life and biochemical parameters were examined. In the model indicators useful for monitoring the herd are: the age of the cows, the number of cows' lactating, daily amount of received milk, length of lactation period for cows in the herd, the length of inter-calving period for cows, the number of days to effective insemination, the amount of protein in the feed, the level of β-oxidation in leucocytes, glucose transport through red blood cells and plasma insulin. Based on the results the mathematical model was designed allowing the presentation of a cybernetic model of cow's organism. There was constructed a multi-equation model which determined the relationships between the selected variables describing the state of dairy cows in the herd and variables that characterize their welfare with its statistical verification.

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“…1,5 Improving reproductive performance also has a positive effect on herd health and increases overall productivity on farms. 6,7,8 Recently, studies analysing extension programs have demonstrated improvements in farm profitability and reduced mastitis prevalence when implementing a herd health program. 7,8,9 Such studies have commonly been conducted on seasonal-calving systems 8,10,11 in New Zealand and southern Australia.…”

mentioning

confidence: 99%

“…Studies that focus on yearround calving dairies are often based in Europe. 6,12 Very few studies have analysed the effect of herd health programs on year-round calving dairy farms in Australia. 10 As such, the rate of improvement in reproductive performance on year-round calving farms in Australia following implementation of a herd health program is unreported.…”

mentioning

confidence: 99%

“…Extension programs such as InCalf have provided farmers and veterinarians with resources that support herd health programs including the development of achievable reproductive performance targets for farmers 1,5 . Improving reproductive performance also has a positive effect on herd health and increases overall productivity on farms 6,7,8 . Recently, studies analysing extension programs have demonstrated improvements in farm profitability and reduced mastitis prevalence when implementing a herd health program 7,8,9 .…”

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The effect of participation in a regular reproductive herd health program on 80‐day submission rate and 100‐day in‐calf rate in year‐round calving dairy farms

2020

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Herd health management programs are commonly implemented on dairy farms to improve farm reproductive performance. In year‐round calving systems, herd health programs can be supported by extension programs such as InCalf, which focus on improving the 100‐day in‐calf rate (100DICR) as a key reproductive performance indicator. The effect of implementing a herd health program was evaluated by analysing the 80‐day submission rate (80DSR) and 100DICR during the initial 18‐month period following commencement of regular herd health visits at 11 year‐round calving dairy farms. The mean 80DSR and 100DICR was calculated for each of six consecutive three‐month intervals following the initial herd health visit at 11 dairy farms distributed across the north and south coasts of New South Wales (NSW). On the 11 study farms 80DSR increased from 36.9% (95% confidence interval [CI] 36.7–37.2) at 0–3 months to 61.9% (95% CI 61.4–62.4) and 100DICR increased from 19.1% (95% CI 18.9–19.3) at 0–3 months to 28.5% (95% CI 28.0–29.0) at 15–18 months. 80DSR increased at similar rates on north coast farms compared to south coast farms; however, north coast farms had a lower 100DICR at 0–3 months which increased at a greater rate compared to south coast farms. 100DICR on north coast farms increased from 12.8% (95% CI 12.5–13.2) at 0–3 months to 27.6% (95% CI 26.8–28.4) at 15–18 months, whereas 100DICR on south coast farms increased from 26.7% (95% CI 26.3–27.0) at 0–3 months to 29.6% (95% CI 28.8–30.5) at 15–18 months. Participation in a regular herd health program resulted in an increased 80DSR and 100DICR.

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Efficiency of dairy farms participating and not participating in veterinary herd health management programs

Cited by 13 publications

References 21 publications

Assessing the economic impact of an endemic disease: the case of mastitis

Assessing the economic impact of an endemic disease: the case of mastitis

The investigation of correlation among selected biochemical parameters and vital signs in dairy herd to design the bio-cybernetic dairy cow model

The effect of participation in a regular reproductive herd health program on 80‐day submission rate and 100‐day in‐calf rate in year‐round calving dairy farms

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