ABSTRACT In this study, we evaluated some of the factors that affect mortality rate during transport from broiler poultry houses to slaughterhouses by conducting panel data analysis. We analyzed the data obtained from 26,599 broiler farms transported to the slaughterhouse from contracted broiler farms in 11 provinces in Turkey. Augmented Dickey-Fuller (ADF) and Phillips-Perron (PP) tests were performed to evaluate whether the series forming the dataset were stationary. To analyze individual effects, parameters were estimated using fixed and random effects models. To decide which of the two models was valid, the Hausman test and fixed effects panel data analysis were performed. The fixed effects model explained 90.93% of the changes in the mortality rate through the independent variables. In the non-periodical fixed-effect panel data analysis, the mortality rate shows a significant (p<0.01) effect between the number of animals alive, number of animals dead, mean and total live weight at poultry farm exit, mean live weight at slaughterhouse arrival, and different variables. Our results showed that the estimation equations developed using model parameters to determine the mortality rate during transportation from different provinces could contribute to effective production planning.

RESUMO O objetivo deste estudo foi determinar os fatores de risco nos processos de produção de bovinos e pequenos ruminantes, juntamente com o desenvolvimento de uma escala que pudesse ser utilizada durante o processo de criação segurada em diferentes regiões da Turquia. Neste estudo, obtivemos informações de 252 empresas de diferentes províncias (Afyonkarahisar, Aksaray, Ankara, Burdur, Karaman e Konya) da Turquia. As análises de confiabilidade e validade foram realizadas utilizando o "Formulário de Avaliação de Risco na Produção Bovina e de Pequenos Animais Ruminantes". O coeficiente Cronbach alfa (α) foi usado para analisar a confiabilidade, enquanto a análise exploratória de fatores foi aplicada para analisar a validade. Cerca de 68,7% (173) das empresas incluíram a criação de gado, enquanto os restantes 31,3% (79) envolveram a criação de pequenos ruminantes. Para determinar os fatores de risco, vinte e quatro perguntas foram dirigidas aos empreendimentos pecuários, e os seis fatores seguintes foram determinados: Riscos Econômico-Políticos, Rendimento Perda de Produto, Riscos Técnicos da Empresa, Crédito/Financiamento, Força de Trabalho, Acompanhamento da Empresa e Registro. Na pontuação do risco político-econômico, a pontuação das empresas que já tinham seguro de vida animal (ALI) foi observada como sendo maior do que aquelas que não tinham, sendo a diferença estatisticamente significativa (p<0,05). Interpretamos que os produtores com pontuação mais alta no fator de risco político-econômico preferiam o seguro. Embora os produtores pudessem determinar bem os fatores de risco, nem todos os produtores estavam necessariamente cientes das medidas de risco. Assim, era necessário melhorar a percepção dos agricultores sobre os riscos e apoiar seus esforços para administrar e reduzir esses riscos. Além disso, a importância das práticas de seguro dentro e fora da fazenda deve aumentar gradualmente para desenvolver uma criação mais consciente, sustentável e lucrativa na agricultura e nos mercados de produtos animais, que estão se tornando mais liberalizados a cada dia.

ABSTRACT The objective of this study was to determine the risk factors in the production processes of cattle and small ruminant breeding enterprises, along with developing a scale that could be used during the insured breeding process in different regions of Turkey. In this study, we obtained information from 252 enterprises from different provinces (Afyonkarahisar, Aksaray, Ankara, Burdur, Karaman, and Konya) of Turkey. Reliability and validity analyses were conducted using the “Risk Assessment Form in Cattle and Small Ruminant Animal Production”. The Cronbach alpha (α) coefficient was used to analyze reliability, while the exploratory factor analysis was applied to analyze the validity. About 68.7% (173) of the enterprises included cattle breeding, while the remaining 31.3% (79) involved small ruminant breeding. To determine the risk factors, twenty-four questions were directed toward the livestock enterprises, and the following six factors were determined: Economic-Political Risks, Yield/Product Losses, Enterprise Technical Risks, Credit/Financing, Workforce, Enterprise Follow-up, and Registration. In the politico-economic risk scoring, the score of enterprises already having Animal life insurance (ALI) was observed to be higher than those who did not have it, with the difference being statistically significant (p<0.05). We interpreted that producers with higher politico-economic risk factor scores preferred insurance. Although the producers could determine the risk factors well, not all producers were necessarily aware of risk measures. Thus, it was necessary to improve the farmers’ perception of risks and support their efforts to manage and reduce these risks. Also, the importance of insurance practices within and out of the farm is predicted to increase gradually to develop more conscious, sustainable, and profitable breeding in agriculture and animal product markets, which are becoming more liberalized day by day.

ABSTRACT Investigating the factors that affect broiler chicken prices in Turkey is vital for understanding market formation. The parameters and factors likely to influence the price of broiler chicken were analyzed for the period between 2010-2020 in Turkey. The study adopted the boosting regression model to predict the correlation between broiler chicken consumer price and variable factors like broiler feed, corn, soybean meal, wheat prices, the dollar exchange rate, producer price index (PPI), and agricultural PPI. The accuracy of the estimation of the regression model created according to the results of the analysis was calculated as 86%. The producer price index variable caused the highest relative impact (25.63%) on broiler chicken meat prices. The highest positive correlation was obtained between the producer price index and the agricultural PPI (r = 0.984). Thus, it was determined that chicken prices were affected by feed raw material prices and the general economic conditions in Turkey. In addition to improving the prevailing economic conditions, an effective price control mechanism is required to prevent excessive price fluctuations in the sector. Simultaneously, it is essential to create policies to reduce input costs.

RESUMO O presente estudo teve como objetivo calcular os escores de qualidade de vida (SF-36) de estudantes de veterinária na Turquia e revisar seus escores no que diz respeito a diferentes características sociodemográficas. Um total de 1211 estudantes de medicina veterinária em 26 faculdades diferentes na Turquia foram selecionados pelo método de amostragem estratificada e foram questionadas sobre o consumo e as despesas com alimentos de origem animal usando o questionário SF-36 entre outubro e dezembro de 2018. Diferenças significativas foram encontradas entre os participantes do SF-36 em termos de nível do ano, gênero, status de acomodação, nível de renda e nível de gastos com alimentos e alimentos de origem animal (P <0,01). Com o aumento do orçamento reservado para produtos de origem animal, as pontuações nos domínios de funcionamento físico, vitalidade, saúde mental, dor e percepção geral de saúde também aumentaram e foram encontradas diferenças estatisticamente significativas (P <0,01). Os baixos índices de qualidade de vida dos veterinários podem ser melhorados, aumentando o nível de renda e o consumo de alimentos de origem animal. Isso garantirá mais energia e que tenham o nível desejado de percepção mental e geral de saúde.

ABSTRACT The present study aimed to calculate the quality of life scores (Short Form-36) of veterinary students in Turkey and review their scores with regards to different socio-demographic characteristics. A total of 1211 students studying veterinary medicine in 26 different faculties in Turkey were selected by stratified sampling method and were asked questions concerning their consumption of and expenditures on foods of animal origin using the SF-36 questionnaire between October and December 2018. Significant differences were found between SF-36 components in terms of year level, gender, accommodation status, income level, and level of expenditures on foods and foods of animal origin (P<0.01). With the increase in the size of the budget set aside for animal products, the scores in the domains of physical functioning, vitality, mental health, pain, and general health perception also enhanced, and statistically significant differences were found (P<0.01). The low quality of life scores of the veterinary students can be improved by increasing their income level and consumption of foods of animal origin. This will ensure that they are energetic and have the desired level of mental and general health perceptions.