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1.
Trop Anim Health Prod ; 54(4): 241, 2022 Jul 27.
Artigo em Inglês | MEDLINE | ID: mdl-35896831

RESUMO

Capsaicin is a recognized alkaloid that can be used as a flavoring and palatability agent. These effects can increase feed intake in lactating sows during farrowing, especially under thermal stress conditions, and provide antioxidant and immunostimulant activities. The objective of this work was to find out the effects of a capsaicin-based product on the feed intake of sows, immunomodulation, and repercussions on litter performance and the control of piglet diarrhea conditions. A total of 132 pregnant sows and lactating sows and their respective litters were divided into 66 sows each and submitted to one of two possible treatments: a capsaicin-free diet (control group) or capsaicin per meal/day. Capsaicin was mixed with gestation and lactation diets in the proportion of 98.6 g of feed and 1.4 g of capsaicin/kg feed, with the dose administered "on top" of 100 g per treatment day on the first feeding. The sows were treated between 90 days of gestation and 21 days of lactation. Backfat thickness, feed intake during farrowing, colostrum production, IgG colostrum concentration, sow reproductive performance, piglet performance, and diarrhea were evaluated. Compared to the sows in the control group, those that received capsaicin had higher feed intake (+ 0.69 kg/day during lactation, P = 0.008), higher levels of IgG in colostrum (185.75 versus 153.80 mg/mL, P = 0.04), an 11.2% higher litter weight gain, with individual piglet weight gains greater than 5.24% (P = 0.045), and an effective reduction in the frequency of piglet diarrhea on the 10th and 17th days of age (P = 0.013 and P = 0.001, respectively). Capsaicin is an additive with potential effects on the sow's performance, with positive influences on the health and growth of suckling piglets.


Assuntos
Ração Animal , Lactação , Ração Animal/análise , Animais , Peso ao Nascer , Capsaicina/farmacologia , Diarreia/veterinária , Dieta/veterinária , Ingestão de Alimentos , Feminino , Imunoglobulina G , Gravidez , Suínos , Aumento de Peso
2.
Artigo em Inglês | MEDLINE | ID: mdl-28405433

RESUMO

BACKGROUND: The aim of this study was to use mathematical modeling to identify and quantify the main factors that affect daily feed intake (DFI) and feed conversion ratio (FCR) in grow-finishing (GF) pig units. We evaluated the production records of 93 GF farms between 2010 and 2013, linked to a company, working in a cooperative system, located in western Paraná State, Brazil. A total of 683 batches, consisting of approximately 495,000 animals, were used. Forty production factors related to the management, health, plant and equipment, nutrition, genetics and environment were considered. The number of pigs per pen, type of feeder, origin and sex (the last two variables were combined in the models) of the animals and initial and final body weights were included in the final models to predict DFI and FCR (dependent variables). Additionally, the duration of the GF phase was included for the parameter FCR. All factors included in the final models had significant effects for both dependent variables. RESULTS: There was a reduction in DFI (0.04 kg) (P < 0.001) and an improvement in FCR (6.0 points) (P < 0.001) in batches from pens with less than 20 animals compared with batches from pens with more than 20 animals. In barns with "other" feeder types (mostly the linear dump type) different of conical semiautomatic feeder, a reduction of DFI (0.03 kg) (P < 0.05) and improved FCR (3.0 points) (P < 0.05) were observed. Batches of barrows from units specialized for producing piglets (SPU) had higher DFI (approximately 0.02 kg) (P < 0.01) than batches of females and batches of mixed animals from SPU, and batches of mixed animals from farms not specialized for piglet production (farrow-to-finish farms). Batches of females from SPU and mixed batches from SPU had better FCR (5.0 and 3.0 points respectively) (P < 0.001 and P < 0.001, respectively) than batches of piglets originating from farrow-to-finish farms. The variables selected for the final models explained approximately 50 and 64 % of the total variance in DFI and FCR, respectively. CONCLUSIONS: The models are tools for the interpretation of the factors related to the evaluated parameters, aiding in the identification of critical aspects of production. The main parameters affecting DFI and FCR in this company during the GF period were the number of pigs per pen, the type of feeder used and the combination origin-sex of the animals.

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