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1.
Trop Anim Health Prod ; 56(5): 176, 2024 May 25.
Article in English | MEDLINE | ID: mdl-38795263

ABSTRACT

The impact of heat stress on dairy cattle leads to significant economic losses and a negative impact on the welfare of the animals. The objective of this research was to evaluate the effect of the nutritional additive (Thermoplus®) in dairy cows under postpartum heat stress conditions, and its effects on the metabolic profile, production and quality of milk. Eighteen lactating Holstein cows (8 multiparous and ten primiparous), in a free-stall system, with a mean body condition score (BCS) of 3.14 ± 0.05, live weight of 624.55 ± 18, 61 kg, with initial mean days in milk (DIM) of 90 ± 10.11, were selected. The animals were grouped into a control (CG, n = 9) and a treatment (TG, n = 9). Both groups underwent 14 days of diet adaptation, the TG received the basal diet supplemented with 50 g of the additive, once a day, individually, while the control group received only the total diet. Data collection of metabolic and productive parameters were evaluated on days -14 (before adaptation), 1 (after the diet adaptation period), 16, 30, and 44. Milk, blood, and body condition score (BCS) were collected once a day, and heart rate, respiratory rate, and rectal temperature were collected twice a day. Serum concentrations of albumin, calcium, magnesium, glucose, gamma-glutamyl transferase (GGT), beta-hydroxybutyrate (BHBA), non-esterified fatty acids (NEFAs), and paraoxonase-1 (PON-1) were evaluated. In the milk, the percentage of fat, protein, lactose, and total solids were determined in each sampling. Milk yield was measured daily. Humidity and ambient temperature values were collected on the days of the collection every 30 min, from 5:30 am to 5:00 pm, to calculate the temperature-humidity index (THI). Statistical analyzes were performed using the SAS software (version 9.3, SAS Institute Inc., Cary, NC, USA). The THI ranged from 62.22 to 79.47. Our findings showed that when the THI was greater than 72, the animals in the TG were able to maintain milk yield (Odds ratio (OD) = -0.0577,), and the animals in the CG had a greater chance of reducing it (OD = -0.2301). Multiparous cows in the TG had higher milk yield than CG (32.57 ± 0.34 vs 30.50 ± 0.36 kg per day; P = 0.0078) and lower SCC (34.110 ± 6,940 vs 665.50 ± 214.41 cells per ml; P = 0.03), with the same percentages of total solids (P > 0.05). In multiparous metabolic markers, TG when compared CG had higher albumin concentrations (2.50 ± 0.07 vs 2.12 ± 0.07 g/dl; < 0.001), equal PON-1 (P > 0.05), and higher BHBA levels (0.49 ± 0.03 vs 0.39 ± 0.04 mmol/l). Primiparous from the CG had higher concentrations of NEFA (0.18 ± 0.02 mmol/l) than multiparous from the same group (0.09 ± 0.02 mmol/l) P = 0.0265. The use of the plant polyphenol extract in postpartum Holstein cows challenged by heat stress had beneficial effects on the production and health of the mammary gland in multiparous cows without decreasing milk solids. The non-reduction of the activities of the acute phase proteins indicates an immunomodulatory and inflammatory-reducing effect of the product used.


Subject(s)
Animal Feed , Diet , Dietary Supplements , Lactation , Milk , Polyphenols , Animals , Cattle/physiology , Female , Lactation/drug effects , Dietary Supplements/analysis , Milk/chemistry , Animal Feed/analysis , Diet/veterinary , Polyphenols/administration & dosage , Polyphenols/pharmacology , Polyphenols/analysis , Plant Extracts/administration & dosage , Plant Extracts/pharmacology , Heat-Shock Response/drug effects , Hot Temperature
2.
Rev. colomb. cienc. pecu ; 34(1): 5-17, Jan.-Mar. 2021. tab
Article in English | LILACS-Express | LILACS | ID: biblio-1394924

ABSTRACT

Abstract Background: Factors such as herd composition, productivity, milk quality and technology level influence the costs and profitability of milk production. Objective: To evaluate indicators that could predict production performance and financial efficiency in three dairy production systems in southern Brazil. Methods: Monthly records of milk quality, production performance and costs from fifty dairy farms were collected. The farms were classified into grazing, semi-feedlot, or feedlot systems. Total revenues, effective operational cost, total operational cost, total cost, gross margin, net income, total cost leveling point, profitability and final milk price were calculated. Results: The feedlot system resulted in greater herd size and milk production per lactating cow (p<0.05), but greater variable costs compared to semi-feedlot and grazing systems. On the other hand, the grazing system achieved greater profitability per year. Factor II (fat and protein rates), and Factor III (herd size and productivity per area) were associated with milk price per liter paid to the farmer (p<0.05), together accounting for approximately 13% of this price. Conclusion: Dairy production systems are influenced by area, lactating cows, productive performance, productivity per area, milk quality, and use of artificial insemination as well as supplementation (concentrate and minerals). Nearly 13% of milk price can be attributed to its fat and protein content as well as herd size and productivity per area.


Resumen Antecedentes: Factores tales como composición del rebaño, productividad, calidad de la leche y nivel tecnológico pueden afectar los costos y rentabilidad de la producción lechera. Objetivo: Evaluar indicadores que puedan predecir el rendimiento productivo y eficiencia financiera en tres sistemas de producción lechera en el sur de Brasil. Métodos: Se recolectaron y analizaron registros mensuales de calidad de la leche, rendimiento productivo y costos de cincuenta granjas lecheras. Las granjas se clasificaron en tres sistemas: pastoreo, semi-confinamiento, y confinamiento. Se calcularon los ingresos totales, el costo operativo efectivo, el costo operativo total, el costo total, el margen bruto, el beneficio neto, el punto de nivelación del costo total, la rentabilidad, y el precio final de la leche. Resultados: El sistema de confinamiento presentó mayor densidad animal y producción de leche por vaca lactante (p<0,05), pero mayores costos variables en comparación con los sistemas de semi-confinamiento y pastoreo. Por otro lado, el sistema de pastoreo tuvo mayor rentabilidad por año. El Factor II (tasas de grasa y proteína) y el Factor III (tasa de ganancia y productividad por área) se asociaron al precio por litro de leche pagado al productor (p<0,05), representando juntos aproximadamente el 13% de ese precio. Conclusión: Los sistemas de producción lechera están influenciados por el área, las vacas lactantes, el rendimiento productivo, la productividad por unidad de área, la calidad de la leche y el uso de inseminación artificial, así como por la suplementación (concentrado y minerales). Casi 13% del precio de la leche se puede atribuir a su contenido de grasa y proteína, así como al tamaño de la granja y productividad por área.


Resumo Antecedentes: Fatores relacionados à composição do rebanho, produtividade, qualidade do leite e uso de tecnologias podem impactar os custos e a lucratividade da produção de leite. Objetivo: Avaliar indicadores que possam predizer a produtividade e a eficiência financeira em três sistemas de produção de leite no sul do Brasil. Métodos: Registros mensais de qualidade do leite, desempenho da produção e custos de cinquenta fazendas leiteiras foram coletados. As fazendas foram classificadas em sistemas de pastejo, semi-confinamento ou confinamento. As receitas totais, o custo operacional efetivo, o custo operacional total, o custo total, a margem bruta, o lucro líquido, o ponto de nivelamento total do custo, a lucratividade e o preço final do leite foram calculados. Resultados: O sistema de confinamento apresentou maior taxa de lotação e produção de leite por vaca lactante (p<0,05), porém maiores custos variáveis totais em relação aos sistemas de semi-confinamento e pastejo. Por outro lado, o sistema de pastejo alcançou maior rentabilidade por ano. O Fator II (taxas de gordura e proteína) e o Fator III (taxa de lotação e produtividade por área) foram associados ao preço do leite por litro pago ao produtor (p<0,05), representando juntos aproximadamente 13% desse preço. Conclusões: Os sistemas de produção leiteira foram influenciados pela área, vacas em lactação, desempenho produtivo, produtividade por área, qualidade do leite e uso de inseminação artificial, bem como pela suplementação (concentrado e minerais). Quase 13% do preço do leite pode ser atribuído ao seu teor de gordura e proteína, assim como a taxa de lotação e a produtividade por área.

3.
Article in English | MEDLINE | ID: mdl-30958142

ABSTRACT

The current model of pigs and poultry production has increased stocking density and reduced downtime between lots. This scenario may favour a rise of infection and disease risk in animals. To avoid this problem, routine use of drugs has been made, intensifying the possibility of residues in animal products and antimicrobial resistance. The aim of this study was to measure carry-over and contaminants of veterinary drugs included in the feed production lines for poultry and pigs. Samples were taken from 25 production lines. LC-MS/MS was used for simultaneous analysis of 62 active ingredients. In the medicated feed, 80.4% of the samples had a concentration of active ingredients different from the stated doses. In 70% of the feed samples, there was heterogeneity in the mixture of active ingredients. In subsequent feeds, carry-over was greater than 1% of the stated dose in 63% of cases. Of the 25 analysed lines, only one showed no contamination with other active ingredients. No correlations were found between the nutritional composition of the feed and carry-over. The present study demonstrated that the current production model allows the occurrence of unwanted drugs in feed-in doses that can contaminate animal products and can select antimicrobial-resistant bacteria.


Subject(s)
Food Contamination/analysis , Poultry Products/analysis , Poultry , Swine , Veterinary Drugs/analysis , Animals
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