Determination of production losses related to lumpy skin disease among cattle in Turkey and analysis using SEIR epidemic model.

BACKGROUND: Lumpy Skin Disease (LSD) is an infectious disease induced by the Capripoxvirus, causing epidemics in Turkey and several countries worldwide and inducing significant economic losses. Although this disease occurs in Turkish cattle every year, it is a notifiable disease. In this study, LSD in Turkey was modelled using the Susceptible, Exposed, Infectious, and Recovered (SEIR) epidemiological model, and production losses were estimated with predictions of the course of the disease. The animal population was categorized into four groups: Susceptible, Exposed, Infectious, and Recovered, and model parameters were obtained. The SEIR model was formulated with an outbreak calculator simulator applied for demonstration purposes. RESULTS: Production losses caused by the LSD epidemic and the SEIR model's predictions on the disease's course were evaluated. Although 1282 cases were identified in Turkey during the study period, the prevalence of LSD was calculated as 4.51%, and the mortality rate was 1.09%. The relationship between the disease duration and incubation period was emphasized in the simulated SEIR model to understand the dynamics of LSD. Early detection of the disease during the incubation period significantly affected the peak time of the disease. According to the model, if the disease was detected during the incubation period, the sick animal's time could transmit the disease (Tinf) was calculated as 2.66 days. Production loss from LSD infection was estimated at US $ 886.34 for dairy cattle and the US $ 1,066.61 for beef cattle per animal. CONCLUSION: Detection of LSD infection during the incubation period changes the course of the disease and may reduce the resulting economic loss.

A meta-analysis of the effects of synchronization protocols applied to sheep in Turkey on pregnancy rates during breeding and non-breeding seasons.

This study aimed to determine common pregnancy rates and effect sizes with meta-analysis of studies investigating the effect of different synchronization protocols applied to sheep during breeding and non-breeding seasons on pregnancy rates. Common pregnancy rates were estimated by coalescing pregnancy rates of studies performed independently, and heterogeneity between the studies was investigated. The meta-analysis included 24 studies that determined pregnancy rates in 78 different groups consisting of 1934 sheep with five different synchronization protocols in Turkey between 2001 and 2020. Among the different synchronization methods, the P4+PMSG group (90.37%) during the breeding season and P4+PGF2α (69.77%) and P4 (68.75%) groups during the non-breeding season showed the highest pregnancy rate. Also, the effect size of P4+PMSG application during the breeding season was calculated as 0.934 (95% confidence interval: 0.901-0.967), and the effect size of P4+PGF2α application during the non-breeding season was calculated as 0.709 (95% confidence interval: 0.406-1.013). To conclude, the combination of P4+PMSG during the breeding season and progestogen and other hormone applications during the non-breeding season are the most effective methods for estrus synchronization and for achieving the desired pregnancy rates.

Factors affecting the price of raw milk in Turkey using panel data analysis / Fatores que afetam o preço do leite cru na Turquia usando análise de dados em painel

ABSTRACT: The high costs of feed among the total costs of raw milk production and an unfavorable milk-feed ratio directly affect the profitability of milk producers. To understand how the market in Turkey can be equilibrated, an exploration of the factors affecting milk prices is essential. This study determined the effects of the basic and the economic indicators on the price of raw milk between 2010 and 2019, by analyzing the monthly panel data. Since time series data are used, Augmented Dickey-Fuller (ADF) and Phillips-Perron (PP) tests are conducted to find out whether the series is stationary. In order to see the individual effects, the parameters are estimated using the fixed and random-effects models. The Hausman test is conducted to decide which of the two models is valid. The basic indicators for milk price, namely, prices of barley, soybean meal, wheat and distillers dried grains with soluble (DDGS), and the economic indicators, namely, dollar exchange rate and agricultural producer price index (PPI) had significant (P < 0.05; P < 0.01) effects on the milk price. In conclusion, it is reported that the raw milk prices in Turkey are considerably affected by the prices of feed ingredients as well as the general economic conditions.

RESUMO: Os elevados custos da ração entre os custos totais para a produção de leite cru e uma relação leite-ração desfavorável afetam diretamente a lucratividade dos produtores de leite. Para entender como o mercado na Turquia pode ser equilibrado, é essencial explorar os fatores que afetam os preços do leite. Este estudo pretende determinar os efeitos dos indicadores básicos e econômicos sobre o preço do leite cru entre 2010 e 2019, por meio da análise de dados em painel mensal. Como os dados de série temporal são usados, os testes de Dickey-Fuller Aumentado (ADF) e Phillips-Perron (PP) são conduzidos para descobrir se a série é estacionária. Para ver os efeitos individuais, os parâmetros são estimados usando os modelos de efeitos fixos e aleatórios. O teste de Hausman é realizado para decidir qual dos dois modelos é válido. Encontram-se os indicadores básicos do preço do leite.Os preços da cevada, farelo de soja, trigo e grãos secos de destilaria com solúveis (DDGS), e os indicadores econômicos. A taxa de câmbio do dólar e o índice de preços ao produtor agrícola (PPI), ter efeitos significativos (P < 0,05; P < 0,01) no preço do leite. Em conclusão, verifica-se que os preços do leite cru na Turquia são consideravelmente afetados pelos preços dos ingredientes para rações, bem como pelas condições económicas gerais.