Correlation between teat length and lactation periods on the level of subclinical mastitis occurrence in Sappy Valley Farm

Siagian, Tetty Barunawati; Amidjaya, Surya Hapsara

doi:10.1051/e3sconf/202234800031

Cited by 2 publications

(1 citation statement)

References 8 publications

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“…Incomplete milking can result in milk remaining in the udder, providing a favorable environment for microorganisms to grow and trigger mastitis. Microorganisms can quickly develop in the udder through teat openings that do not close promptly or completely after milking, or due to poor nipple conditions [18].…”

Section: Relationship Between Lactation Rate and Clinical Mastitis In...mentioning

confidence: 99%

Analysis of Mastitis Cases on Modern Dairy Farms in Blitar Regency, Indonesia

Zalizar,

Hendraningsih,

Hidayati

et al. 2023

E3S Web Conf.

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This study aims to determine: i) the relationship between lactation level and clinical mastitis, ii) bacteria that cause clinical mastitis and iii) the incidence rate of the disease based on Days in Milk (DIM). The research location was carried out at a modern dairy farm in Blitar Regency, Indonesia. Clinical mastitis dairy divided into nine lactation periods including: lactation period (LP) 1 (168 heads); LP 2 (224 heads); LP 3 (153 heads); LP 4 (102 heads); LP 5 (51 heads); LP 6 (14 heads); LP 7 (7 heads); LP 8 (1 head); LP 9 (3 heads). Data were analyzed using simple regression and descriptive analysis. There was a linear increase in the percentage of mastitis incidence at the lactation period in modern dairy farm, y = 1.9483x + 14.938 following R² = 0.2315. The worst incidence occurred during the sixth lactation (43.75 %). Streptococcus uberis was identified as the most common bacteria causing mastitis (55.19 %). The highest incidence of mastitis occurred in Days in Milk (DIM) > 150 d (48.55 %), followed by DIM < 75 d (21.44 %). Furthermore, the second lactation with DIM > 150 d (15.63 %) had the greatest mastitis incidence.

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Section: Relationship Between Lactation Rate and Clinical Mastitis In...mentioning

confidence: 99%

Analysis of Mastitis Cases on Modern Dairy Farms in Blitar Regency, Indonesia

Zalizar,

Hendraningsih,

Hidayati

et al. 2023

E3S Web Conf.

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Prevalence of mastitis in dairy animals in Indonesia: A systematic review and meta-analysis

et al. 2023

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Background and Aim: Mastitis is an important disease that can reduce milk production and farmer income as well as negatively affect human health. This study aimed to summarize dairy mastitis in Indonesia, both subclinical mastitis (SCM) and clinical mastitis (CM), and its prevalence in different provinces, the diagnostic methods, and the animal species. Materials and Methods: Relevant studies on mastitis in dairy animals in Indonesia were obtained from PubMed, Scopus, ProQuest, Google Scholar, and Garuda. The title and abstract were screened for the eligibility of the studies. The full text of the selected studies was assessed and the data were extracted for analysis. To determine the pooled estimate of the prevalence of mastitis, a random-effects model was performed using the “Meta” and “Metaphor” packages in the R software version 4.2.2. The heterogeneity of several characteristics (mastitis type, provinces, animal species, and diagnostic methods) was evaluated through subgroup meta-analysis. Meta-regression analysis was conducted to assess the trend of mastitis prevalence reports over time. Publication bias was evaluated using Egger’s test and a funnel plot. Results: A total of 735 studies were retrieved for the title and abstract screening, which resulted in the final selection of 37 studies with a total of 6050 samples for meta-analysis. The pooled estimate of mastitis prevalence in dairy animals in Indonesia was 59.44% (95% confidence interval [CI], 52.39%–66.49%). Based on mastitis type, SCM had a significantly higher prevalence than CM (58.24% [95% CI, 51.26%–65.23%] vs. 3.31% [95% CI, 1.42%–5.19%]). No significant difference was observed in the analysis of other subgroups. Among provinces, Central Java had the highest prevalence (66.62% [95% CI, 49.37%–83.87%]), whereas Yogyakarta had the lowest (41.77% [95% CI, 14.96%–68.58%]). Based on animal species, cow and goat had a prevalence of 63.42% (95% CI, 55.97%–70.86%) and 44.96% (95% CI, 28.26%–61.66%), respectively. Based on the diagnostic method, the California mastitis test resulted in 60.08% (95% CI, 52.11%–68.06%) and the Institut Pertanian Bogor test, 56.00% (95% CI, 41.20%–70.81%). No significant change in the prevalence of mastitis in Indonesia was observed from 2003 to 2022. Conclusion: This study demonstrates that the pooled estimate of mastitis prevalence in dairy animals in Indonesia is >50%. Based on subgroup analysis, SCM had a higher prevalence than CM; however, the prevalence between provinces, detection methods, and animal species in the 2003–2022 periods was not significantly different. A mastitis control strategy needs to be developed to reduce the prevalence of mastitis and further loss in milk production. Keywords: animals, cow, Indonesia, subclinical mastitis.

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Correlation between teat length and lactation periods on the level of subclinical mastitis occurrence in Sappy Valley Farm

Cited by 2 publications

References 8 publications

Analysis of Mastitis Cases on Modern Dairy Farms in Blitar Regency, Indonesia

Analysis of Mastitis Cases on Modern Dairy Farms in Blitar Regency, Indonesia

Prevalence of mastitis in dairy animals in Indonesia: A systematic review and meta-analysis

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