Performance, Carcass Traits, Biochemical and Hematological Profile, Ileal Microbiota and Nutrient Metabolizability in Broilers Fed Diets Containing Cell Wall of Saccharomyces Cerevisiae and Piperine

The objective of this study was to evaluate the inclusion of cell wall of Saccharomyces cerevisiae (CWSc) and piperine in broiler rations and their effects on performance, carcass traits, blood parameters, ileal microbiota and nutrient digestibility. A randomized block design with five treatments and six replicates of 10 birds was used, totaling 300 chickens. The treatments consisted of: control ration (CR); CR + avilamycin (10 mg / kg); CR + CWSc (2.0 g / kg); CR + piperine (60 mg / kg); and CR + CWSc (2.0 g / kg) + piperine (60 mg / kg). The use of isolated piperine resulted in greater weight gain from 9 to 40 days of age (2505g). The additives CWSc and piperine conjugates influenced the lower coliform count in the ceca (4.45 CFU / g) and caused significant alterations in the biochemical serum and hepatic renal profile. The treatments had no effect on the nutrient metabolizable coefficients or on the carcass traits. There was no positive synergistic effect of the combined use of CWSc and piperine on broiler performance. The cell wall of Saccharomyces cerevisiae and piperine are effective at guaranteeing productivity, intestinal microbiota dynamics and hematological parameters; and as zootechnical additives, especially in broiler feeds free of antimicrobial performance enhancers.(AU)

Performance, Carcass Traits, Biochemical and Hematological Profile, Ileal Microbiota and Nutrient Metabolizability in Broilers Fed Diets Containing Cell Wall of Saccharomyces Cerevisiae and Piperine

The objective of this study was to evaluate the inclusion of cell wall of Saccharomyces cerevisiae (CWSc) and piperine in broiler rations and their effects on performance, carcass traits, blood parameters, ileal microbiota and nutrient digestibility. A randomized block design with five treatments and six replicates of 10 birds was used, totaling 300 chickens. The treatments consisted of: control ration (CR); CR + avilamycin (10 mg / kg); CR + CWSc (2.0 g / kg); CR + piperine (60 mg / kg); and CR + CWSc (2.0 g / kg) + piperine (60 mg / kg). The use of isolated piperine resulted in greater weight gain from 9 to 40 days of age (2505g). The additives CWSc and piperine conjugates influenced the lower coliform count in the ceca (4.45 CFU / g) and caused significant alterations in the biochemical serum and hepatic renal profile. The treatments had no effect on the nutrient metabolizable coefficients or on the carcass traits. There was no positive synergistic effect of the combined use of CWSc and piperine on broiler performance. The cell wall of Saccharomyces cerevisiae and piperine are effective at guaranteeing productivity, intestinal microbiota dynamics and hematological parameters; and as zootechnical additives, especially in broiler feeds free of antimicrobial performance enhancers.

Classification of Chicken Parts Using a Portable Near-Infrared (NIR) Spectrophotometer and Machine Learning.

Identification of different chicken parts using portable equipment could provide useful information for the processing industry and also for authentication purposes. Traditionally, physical-chemical analysis could deal with this task, but some disadvantages arise such as time constraints and requirements of chemicals. Recently, near-infrared (NIR) spectroscopy and machine learning (ML) techniques have been widely used to obtain a rapid, noninvasive, and precise characterization of biological samples. This study aims at classifying chicken parts (breasts, thighs, and drumstick) using portable NIR equipment combined with ML algorithms. Physical and chemical attributes (pH and L*a*b* color features) and chemical composition (protein, fat, moisture, and ash) were determined for each sample. Spectral information was acquired using a portable NIR spectrophotometer within the range 900-1700 nm and principal component analysis was used as screening approach. Support vector machine and random forest algorithms were compared for chicken meat classification. Results confirmed the possibility of differentiating breast samples from thighs and drumstick with 98.8% accuracy. The results showed the potential of using a NIR portable spectrophotometer combined with a ML approach for differentiation of chicken parts in the processing industry.

Perfil dos produtores de frango de corte da microrregião de Catolé do Rocha-PB / Profile of producers poultry of micro-region Catolé do Rocha-PB

O Considerando o vasto mercado consumidor e alto valor nutritivo da carne de frango como fonte de alimento e a demanda que aumenta dia a dia, avicultura de corte no Brasil é uma das atividades econômicas maisavançadas tecnologicamente, com altos níveis de produtividade e excelentes indices de conversão alimentar, além disso, destaca-se pelo elevado nível de organização que levou o Pais a transforma-se no maior exportador mundial de carne de frango. Objetivou-se com esta pesquisacaracterizar o perfil dos produtores de frango de frango de corte na microrregião de Catolé do Rocha, Sertão Paraibano. Foi realizada uma pesquisa descritiva, com a aplicação de questionário e amostragem de 10 (dez) produtores de frango de corte. Onde 44,4% (4/10) tem entre 1 e 2 filhos, 33,3% (3/10) de 3 a 4 filhos e 22,2% (2/10) disseram não ter filhos. Outro fator importante é que 11% (1/10) dos avicultores é do sexo feminino e 89%(9/10) são do sexo masculinos, 78% (9/10) são casados, 22% (2/10) solteiros, também são associados a Cooperativas ou Associações 78% (8/10), 67%(7/10) tem acesso ao crédito, 77% (8/10) disseram necessitar de crédito para aumentar a produção, 22,2% (2/10) usam mão de obra familiar, 67% (7/10) usa mão de obra contratada, a principal atividade ainda é a Agricultura que representa 22,22% (2/10) das atividades no campo, seguido da criação de gado bovino que representa 20% (2/10)da atividade no campo, as demais representa 11,1% (1/10), dispõem de veículos próprios para transporte das aves 55,5% (5/10), tempo de atividade 44,4% (4/10) tem entre 1 e 2 anos, 22.2% (2/10) tem entre 3 e 4 anos e 33,3% (3/10) tem de 5 a 10 anos, também pode-se observar que 90%(9/10) dos avicultores tem até 5.000 mil aves e 10% (1/10) possui entre 5 e 10 mil. 10%(1/10) disseram ter dificuldades para comercializar sua produção, 20% (2/10) disseram ter pouca dificuldade e 70% (7/10) disseram não ter nenhum problema...