RESUMO:A estimativa de conforto térmico na avicultura moderna é importante para que sistemas de climatização possam ser acionados no tempo correto, diminuindo perdas e aumentando rendimentos. Embora a literatura corrente apresente alguns índices de conforto térmico, que são aplicados para essa estimativa, estes são baseados apenas em condições do ambiente térmico e não consideram fatores importantes inerentes aos animais, tais como genética e capacidade de aclimatação, provendo, geralmente, uma estimativa inadequada do conforto térmico das aves. Este trabalho desenvolveu o Índice Fuzzy de Conforto Térmico (IFCT), com o intuito de estimar o conforto térmico de frangos de corte, considerando que o mecanismo usado pelas aves para perda de calor em ambientes fora da zona termoneutra é a vasodilatação periférica, que aumenta a temperatura superficial, e que pode ser usada como indicador do estado de conforto. O IFCT foi desenvolvido a partir de dois experimentos, que proporcionaram 108 cenários ambientais diferentes. Foram usadas imagens termográficas infravermelhas, para o registro dos dados de temperaturas superficiais das penas e da pele, e o grau de empenamento das aves. Para os mesmos cenários de ambiente térmico observados nos experimentos, foram comparados os resultados obtidos usando o IFCT e o Índice de Temperatura e Umidade (ITU). Os resultados validaram o IFCT para a estimativa do conforto térmico de frangos de corte, sendo específico na estimativa de condições de perigo térmico, usual em alojamentos em países de clima tropical. Essa característica é desejável em modelos que estimem o bem-estar térmico de frangos de corte, pois situações classificadas como perigo acarretam no dispêndio de recursos para evitar perdas produtivas. PALAVRAS-CHAVE: índice de conforto térmico, lógicaFuzzy, termografia infravermelho, zootecnia de precisão. THERMAL COMFORT FUZZY INDEX FOR BROILER CHICKENSABSTRACT: Estimating thermal comfort in modern poultry production is important that acclimatization systems can be triggered at appropriate time reducing losses and increasing yield. Although current literature presents some thermal comfort indexes which are applied for this estimation those are based just on ambient thermal conditions and do not consider important factors inherent to the animals such as genetics and capability of adaptation, generally providing an inadequate estimation of the birds' thermal comfort. This research developed the Fuzzy thermal comfort index (FTCI) aiming to estimate broilers' thermal comfort considering that the mechanism used by the birds for losing heat in environments outside the thermoneutral zone is the peripheral vasodilatation, which increases the surface temperature. Measurements of surface feathers and skin temperature of birds were used. The FTCI was developed using the data of two experiments which provided 108 distinct environmental scenarios. Infrared thermal images were used for registering surface temperature of feathers and skin, as well as the birds' feathering degree. For the same ...
As instalações avícolas devem assegurar um ambiente de conforto térmico que proporcione ao animal expressar todo o seu potencial genético para produção motivo pelo qual novas ferramentas estão sendo aplicadas para medir o conforto térmico animal destacando-se as câmeras termográficas. Neste trabalho objetivou-se avaliar a associação da temperatura superficial das aves com as das instalações e estimar a transferência de calor sensível. Para isto foram registradas as condições térmicas de alojamento em dois aviários com sistemas de ventilação distintos, no período de março a abril de 2011. Os aviários foram divididos em seis quadrantes para a coleta das temperaturas superficiais obtidas através de uma câmera termográfica infravermelho. Em cada quadrante também foram registradas temperatura ambiente, umidade relativa e velocidade do ar durante as coletas das imagens. Constatou-se que as temperaturas superficiais das aves estão associadas à temperatura superficial da instalação (cortinas laterais, forro e cama). No aviário com ventilação negativa foram registradas maiores velocidades do ar em relação ao convencional razão pela qual possibilitou a maior transferência de calor sensível pelas aves, sugerindo melhores condições de conforto térmico.
RESUMO:Entender o comportamento e suas pequenas variações decorrentes das mudanças do ambiente térmico e desenvolver modelos que simulem o bem-estar a partir de respostas das aves ao ambiente constituem o primeiro passo para a criação de um sistema de monitoramento digital de aves em galpões de produção. Neste trabalho, foi desenvolvido um sistema de suporte à decisão com base na teoria dos conjuntos fuzzy para a estimativa do bem-estar de matrizes pesadas em função de frequências e duração dos comportamentos expressos pelas aves. O desenvolvimento do sistema passou por cinco etapas distintas: 1) organização dos dados experimentais; 2) apresentação dos vídeos em entrevista com "especialista"; 3) criação das funções de pertinência com base nas entrevistas e na revisão da literatura; 4) simulação de frequências de ocorrências e tempos médios de expressão dos comportamentos classificados como indicadores de bem-estar utilizando equações de regressão obtidas na literatura, e 5) construção das regras, simulação e validação do sistema. O sistema fuzzy desenvolvido estimou satisfatoriamente o bem-estar de matrizes pesadas, tendo na sua última versão, com maior número de regras, acertado 77,8% dos dados experimentais, comparados com as respostas esperadas por um especialista. O sistema pode ser utilizado como instrumento matemático-computacional para apoiar decisões em galpões de produção de matrizes pesadas. PALAVRAS-CHAVE:lógica fuzzy, bem-estar animal, simulação, termoneutralidade, avicultura. SYSTEM FUZZY FOR ESTIMATE OF WELFARE OF BROILER BREEDERSABSTRACT: To understand the behavior and its small variations originated from changes of the thermal environment and to develop models that simulate the welfare from broiler breeders' answer to the environment constitute the first step for the creation of a system for digital monitoring of broiler breeders housing. In this paper it was developed a system of decision support based on the fuzzy conjuncts' theory to estimate the welfare of broiler breeders in function of frequencies and times of occurrences of behaviors. The controller's development passed for five distinct steps: 1) organization of the experimental data; 2) observation of the videos in interview with specialist; 3) creation of the relevancy functions according to the interviews and the literature revision; 4) frequency simulation of occurrences and average times of expression of the classified behaviors such as indicators of welfare using regression equation from the literature, and 5) construction of rules, simulation and validation of the controller step by step, comparing the results between the simulations. The developed controller satisfactorily estimated the welfare of broiler breeders, having in its version with larger number of rules, estimated about 80% of the experimental data correctly when compared with the answers expected by a specialist. The system can be used as mathematician-computational instrument to support decisions in broiler breeders housing.
Well being of animals had been historically a public concern, since the beginning of human kind history. As world's population grows there is a need for food including meat. In the last decades there has been a great improvement in poultry production based on the careful control of several aspects, among which nutrition and management (environment, health and rearing systems). Nowadays, the search for good welfare conditions is a global tendency in animal production; however issues surrounding farm animal welfare or well-being, such as definitions, measurements, interpretation, and perception, continue to be controversial. It is known that the result of a broiler not adequately housed is a direct loss in production which leads towards a thought that health, welfare and productivity are intimately connected. In the other hand hints are found in the observation of behavioral responses as well as vocalization, which may provide more precise assessment to welfare. This has been possible due to the use of information technology applied to the field of ethology as well as the multidisciplinary view of the problem. This text provides a review on broiler's welfare issues since its definition to several way of trying to assess it adequately
Climate may affect broiler production, especially where there are heat waves, which may cause high mortality rates due to the heat stress. Heat wave prediction and characterization may allow early mitigation actions to be taken. Data Mining is one of the tools used for such a characterization, particularly when a large number of variables is involved. The objective of this study was to classify heat waves that promote broiler chicken mortality in poultry houses equipped with minimal environmental control. A single day of heat, a heat-shock day, is capable of producing high broiler mortality. In poultry houses equipped with fans and evaporative cooling, the characterization of heat waves affecting broiler mortality between 29 days of age and market age presented 89.34% Model Accuracy and 0.73 Class Precision for high mortality. There was no influence on high mortality (HM) of birds between 29 and 31 days of age. Maximum temperature humidity index (THI) above 30.6 ºC was the main characteristic of days when there was a heat wave, causing high mortality in broilers older than 31 days. The high mortality of broilers between 31 and 40 days of age occurred when maximum THI was above 30.6 ºC and maximum temperature of the day was above 34.4 ºC. There were two main causes of high mortality of broilers older than 40 days: 1) maximum THI above 30.6 ºC and minimum THI equal or lower than 15.5 ºC; 2) maximum THI above 30.6 ºC, minimum THI lower than 15.5 ºC, and the time of maximum temperature later than 15:00h. The heat wave influence on broiler mortality lasted an average of 2.7 days
This study was conducted to determine the effect of the air temperature variation on the mean surface temperature (MST) of 7-to 35-day-old broiler chickens using infrared thermometry to estimate MST, and to study surface temperature variation of the wings, head, legs, back and comb as affected by air temperature and broiler age. One hundred Cobb ® broilers were used in the experiment. Starting on day 7, 10 birds were weekly selected at random, housed in an environmental chamber and reared under three distinct temperatures (18, 25 and 32 ºC) to record their thermal profile using an infrared thermal camera. The recorded images were processed to estimate MST by selecting the whole area of the bird within the picture and comparing it with the values obtained using selected equations in literature, and to record the surface temperatures of the body parts. The MST estimated by infrared images were not statistically different (p > 0.05) from the values obtained by the equations. MST values significantly increased (p < 0.05) when the air temperature increased, but were not affected by bird age. However, age influenced the difference between MST and air temperature, which was highest on day 14. The technique of infrared thermal image analysis was useful to estimate the mean surface temperature of broiler chickens.
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