Effects of climate and farm management practices on bovine digital dermatitis in spring-calving pasture-based dairy farms in Taranaki, New Zealand

Yang, D.A.; Laven, Richard; Chesterton, R.N.

doi:10.1016/j.tvjl.2019.03.004

Cited by 5 publications

(8 citation statements)

References 19 publications

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“…However, if farmers can only conduct DD monitoring at a single time point, the model results suggest that late November to end of February would perhaps be the optimal time as the DD prevalence is likely to reach its peak during this period. This suggestion is consistent with the seasonality seen in a previous New Zealand-based longitudinal study [29].…”

Section: Discussionsupporting

confidence: 92%

“…This is consistent with data from non-pasture-based systems where dry cows are at lower risk of having DD than lactating cows [26][27][28]. While in the pasture-based system, climate factors such as monthly rainfall level and soil temperature could also have impact on the prevalence of DD, therefore having lower prevalence during the late lactation and dry period is also likely due to the differences of climate [29]. The model suggests that on New Zealand dairy farms which have DD, the low within-herd prevalence of DD is likely to persist for many years, making it uneconomic for farmers to implement control measures such as routine footbaths which are commonly used to control BDD in housed cattle [30,31].…”

Section: Discussionsupporting

confidence: 87%

“…Thirdly, as the data used to calibrate this simulation model were only obtained from three herds in a single lactation season, its predictive ability is worth discussing. Previous research has identified that under New Zealand conditions, climate has a significant effect on BDD prevalence [29]. Therefore, it is likely that if there are changes in the climate of New Zealand due to climate change (such as wetter winters and drier summers), this model may no longer be predictive (as it is based on the current climate).…”

Section: Discussionmentioning

confidence: 99%

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Modelling the transmission dynamics of bovine digital dermatitis in New Zealand pastoral dairy production systems

Yang

Laven

Müller

et al. 2020

Vet Res

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Bovine digital dermatitis (DD) is an important infectious cause of cattle lameness worldwide that has become increasingly prevalent in New Zealand pastoral dairy herds. In this study, a simplified DD scoring system after considering both M and Iowa DD scoring systems was applied to explore the transmission dynamics of DD in a typical springcalving pastoral New Zealand dairy herd. The modified model only included three compartments: normal skin, early stage lesions and advanced lesions. Lesions regressing after treatment were excluded as DD lesions are rarely treated in New Zealand. Furthermore, sub-classes within each lesion class were not defined due to the lack of variability in DD lesion presentations within New Zealand. The model was validated based on longitudinal field data from three dairy herds in the Waikato region during one lactation season . The model suggested that in infected dairy herds, although DD prevalence will tend to increase year-on-year it is likely to remain relatively low (< 18%) even after 10 years of within-herd transmission. It is likely that the low transmission rate during the late lactation (model assumption) results in more cases resolving than developing during this period and therefore results in the low prevalence of infectious cattle at the start of each subsequent lactation. Cattle with advanced lesions had a stronger influence on the establishment and maintenance of DD than cattle with early stage lesions highlighting the importance of targeting these animals for intervention. On-going monitoring of DD is highly recommended to assess the long-term progression of the disease in affected dairy herds. © The Author(s) 2020. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article' s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article'

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Section: Discussionsupporting

confidence: 92%

Section: Discussionsupporting

confidence: 87%

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Modelling the transmission dynamics of bovine digital dermatitis in New Zealand pastoral dairy production systems

Yang

Laven

Müller

et al. 2020

Vet Res

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“…Two New Zealand studies [14, 15] reported that on BDD-positive farms, the within-herd prevalence was higher on farms where the outside staff came for hoof trimming (prevalence ratio [PR]: 3.13, 95%PI: 1.25–7.29 and risk ratio [RR]: 2.06, 95% confidence interval [CI]: 1.05–4.06). Although our current analysis did not confirm this finding, the calculated OR 2.18 was still in the realm considered to be biologically important [10] and the 95%PI: 0.96–4.98 only just included 1.…”

Section: Discussionmentioning

confidence: 99%

“…These studies have identified a wide-range of potential risk factors including type of housing [9], using outside staff to trim hooves [10], footbath regimen [11] and access to pasture [12]. In contrast, very few studies [13–15] have been undertaken in cattle that are principally pasture-based with no or very limited use of housing, where many of the risk factors identified in confined animals are irrelevant. Specific research in such systems is essential as there can be large variation between pasture-based dairy herds in the prevalence of BDD [16].…”

Section: Introductionmentioning

confidence: 99%

Bayesian analysis of herd-level risk factors for bovine digital dermatitis in New Zealand dairy herds

et al. 2019

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Background: Bovine digital dermatitis (BDD) is considered the most important infectious cause of lameness in dairy cattle worldwide, but has only recently been observed in New Zealand. Although many studies have investigated the risk factors for BDD in confined dairy systems, information on risk factors in pasture-based system is limited. Therefore a cross-sectional study including 59,849 animals from 127 dairy herds in four regions of New Zealand was conducted to identify the herd-level factors associated with the probability of a herd being BDD-lesion positive and with within-herd BDD prevalence. Results: Purchasing heifers was associated with increased odds of a herd being BDD-lesion positive (odds ratio [OR]: 2.33, 95% probability interval [PI]: 1.26-4.42) and a cow being BDD affected (OR: 3.76, 95%PI: 1.73-8.38), respectively. Higher odds of a herd being BDD-lesion positive (OR: 2.06, 95%PI: 1.17-3.62) and a cow being BDD affected (OR: 2.87, 95%PI: 1.43-5.94) were also seen in herds where heifers co-grazed with cattle from other properties. In addition, using outside staff to treat lameness was associated with higher odds of a cow being BDD affected (OR: 2.18, 95%PI: 0.96-4.98). Conclusion: This study highlighted that movements of heifers are significantly associated with the spread of BDD within and between dairy herds in New Zealand. To minimise the risk of disease introductions in herds where moving heifers cannot be avoided, it is best to purchase heifers only from herds where BDD-freedom has been confirmed and, if heifers have to graze-off a farm, they should be reared as a single biosecure management group, especially since animals may be BDD-infected without having clinically obvious lesions.

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Risk factors for digital dermatitis in free‐stall‐housed, Canadian dairy cattle

Jong

Frankena

Orsel

2021

Veterinary Record Open

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Background A comprehensive analysis of the relation between digital dermatitis (DD) and cow and herd characteristics in Canadian dairies is currently lacking. Methods A multilevel logistic regression analysis was performed using 12,260 cow records from 62 dairy farms to assess association between 27 cow and herd‐level variables, and presence of DD. Results The odds for a cow to have at least 1 DD lesion were higher in first‐parity cows and those in later lactation (≥45 days in milk). Housing cows on a concrete base was associated with higher odds (OR 2.24) for DD when bedding was added once a week or less. Bedding the concrete base more frequently reduced odds for DD. Wood shavings or other bedding types were more positively associated with DD (OR 2.31 and 1.87, respectively) compared to sawdust. Also, the odds of DD were lower on farms with a scraping manure frequency of every 2 h compared to less frequent scraping (OR 0.54). Conclusion Nine risk factors for DD were identified and quantified, with stall base, bedding type, and manure scraping frequency associated with lower odds of DD. DD prevalence could be reduced by implementing management practices for first‐parity cows, as they had higher odds of DD.

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Effects of climate and farm management practices on bovine digital dermatitis in spring-calving pasture-based dairy farms in Taranaki, New Zealand

Cited by 5 publications

References 19 publications

Modelling the transmission dynamics of bovine digital dermatitis in New Zealand pastoral dairy production systems

Modelling the transmission dynamics of bovine digital dermatitis in New Zealand pastoral dairy production systems

Bayesian analysis of herd-level risk factors for bovine digital dermatitis in New Zealand dairy herds

Risk factors for digital dermatitis in free‐stall‐housed, Canadian dairy cattle

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