ABSTRACT
Objetivou-se com este trabalho estimar o bem-estar de suínos a partir de registros de sua vocalização, durante alojamento em granja comercial. Foram utilizados 150 suínos machos castrados, distribuídos aleatoriamente em cinco baias. Os suínos foram submetidos a diferentes situações de estresse: sede (sem acesso a água), fome (sem acesso ao alimento), estresse térmico (Índice de temperatura e umidade - ITU >74). Para o tratamento controle, os animais foram mantidos em situação de conforto, com acesso a alimento e água, e ambiente com ITU <70. Foram registrados os sinais acústicos a cada 30 minutos, durante período ininterrupto de três horas, totalizando seis coletas para cada situação de estresse. Os sinais foram digitalizados a uma frequência de até 44.100Hz, por um período de 3 minutos. Posteriormente, os áudios foram analisados pelo software Praat(r) 5.1.19. Os atributos gerados a partir desse software foram a energia do sinal (Pa²*s), amplitude máxima e amplitude mínima (Pa), a frequência de picht (Hz), a intensidade sonora (dB) e quatro níveis de formantes (F1; F2; F3 e F4), também chamados de harmônicas (Hz). Verificou-se que, dependendo do estímulo estressor e de sua duração, os atributos acústicos energia e intensidade do sinal, frequência de pitch e as formantes 2 e 4 apresentaram diferenciação. Os atributos sonoros da vocalização de suínos variam de maneira distinta em função do tipo e duração do estímulo estressante, funcionando, quando associados, como ferramenta eficiente para quantificar o grau de estresse dos animais.
This work aimed to estimate the welfare of pigs using their vocalization records during rearing in a commercial swine farm. A total of 150 barrow pigs were randomly distributed into five pens. Pigs were exposed to different stressful situations: Thirst (no access to water), hunger (no access to the food), thermal stress (Temperature and Humidity Index - THI >74). For the control treatment, the animals were kept in a situation of comfort, with full access to food and water, and environment THI <70. Acoustic signals were recorded every 30 minutes during a continuous period of three hours, totaling six samples for each stress exposure. The signals were digitized at a frequency of up to 44,100 Hz, for a period of 3 minutes. Later the audios were analyzed using the Praat (r) 5.1.19 software. The attributes generated from this software were the signal energy (Pa² * s), the maximum amplitude and the minimum amplitude (Pa), the frequency of pitch (Hz), the sound intensity (dB) and four levels of formants (F1, F2, F3 and F4), also called harmonics (Hz). It was found that depending on the acoustic attributes, the stressor stimuli and its duration indicate energy and signal strength, frequency of pitch and formants 2 and 4 showed differentiation. The sound attributes of the pig vocalization varied in different ways depending on the type and duration of the stressful exposure, functioning as an efficient tool to quantify the degree of animal degree.
Subject(s)
Animals , Male , Animal Welfare , Stress, Physiological/physiology , Swine/metabolism , Vocalization, Animal/classification , Heat Stress Disorders/veterinaryABSTRACT
Avaliou-se o efeito do período de descanso pré-abate e do sexo sobre a incidência de carne PSE (pale, soft, exudative) em suínos. Foram realizadas três visitas a abatedouro comercial, nas quais se mensurou o pH das carcaças (n=2128) aos 45 minutos após o abate, de lotes compostos por fêmeas, machos castrados cirurgicamente e machos imunocastrados e de lotes mistos (fêmeas e machos castrados cirurgicamente), submetidos a período de descanso que variou de duas a 16 horas. Carcaças com pH45≤5,8 foram classificadas como PSE, e com pH45>5,8 como normais. Em função do número de animais avaliados dentro de cada categoria, estimou-se a frequência de carne PSE. A incidência total de carne PSE foi de 10,1%, sendo maior nos lotes de animais imunocastrados (13,5%) quando comparados aos lotes de fêmeas (8,6%) ou de machos castrados cirurgicamente (8,5%). Períodos de descanso menores que seis horas e acima de 14 horas aumentaram a incidência de carne PSE. Período de descanso entre seis e oito horas minimizaram a ocorrência de carnes PSE.
Were evaluated the effect of lairage pre-slaughter and sex on the incidence of PSE (pale, soft and exudative) meat in pigs. There were three visits to a commercial slaughterhouse, in which the pH of carcasses (n=2128) was measured at 45 minutes after slaughter of lots consisting exclusively of females, males castrated surgically, males immunologically castrated and mixed lots (females and castrated surgically) underwent a resting time, and time between the shipment and slaughter ranged from two to 16 hours. Carcasses with pH45≤5.8 were classified as PSE and with pH45>5.8 as normal. Depending on the number of animals evaluated in each category we estimated the frequency of PSE. The overall incidence of PSE meat was 10.1%, higher in lots of animals immunocastrated (13.5%) compared to lots of females (8.6%) or castrated males (8.5%). Resting time of less than six hours and up to 14 hours increased the incidence of PSE meat. Resting time between six and eight hours minimized the occurrence of PSE meat.
Subject(s)
Animals , Abattoirs , Castration/veterinary , Meat Products/analysis , Animal Technicians , Swine/metabolism , Exercise Test/veterinaryABSTRACT
The aim of the present study was to estimate the index and individual responses to selection for milk (MY), fat (FY) and protein (PY) yields for different breeding goals for two commercial buffalo milk production systems in São Paulo State characterized by: 1) all milk produced is sold to the industry (MILK) and 2) all milk produced is used in the mozzarella cheese-making process at the farm (MOZZARELLA). The current payment policy is based exclusively on milk volume. The mozzarella price refers to the wholesale selling price. Index responses to selection (IR) were calculated for three different breeding goals (BG): 1) MY exclusively (BG(1)); 2) FY + PY (BG(2)) and 3) MY + FY + PY (BG(3)). IR for the MILK system were 41.79 US dollars (BG(1)), 5.91 US dollars (BG(2)) and 38.22 US dollars (BG(3)). For the MOZZARELLA system, IR were 179.50 US dollars (BG(1)), 262.85 US dollars (BG(2)) and 402.41 US dollars (BG(3)). The results suggest that for the present circumstances, selection for milk components is not advantageous when milk is produced for sale to the industry. However, when mozzarella making is added to the system, the selection for components and milk volume is the most economically beneficial.