ABSTRACT
Producers of fish have been looking for viable alternatives for the management of Colossoma macropomum (tambaqui) in confinement systems in order to avoid the harm and subsequent losses caused by parasitic diseases. One alternative used by farmers is pesticides, such as trichlorfon, which has a genotoxic effect. Thus, this study aimed to evaluate the changes in gene expression due to the side effects of trichlorfon in tambaqui. Two treatments were used based on LC50-96h of 0.870 mg/L using 30% and 50% trichlorfon with exposure periods of 48, 72 and 96 h. For differential expression of the genes in the liver, real-time PCR was performed for the AChE, GST, CYP2J6, CYP2C8, 18S and GAPDH genes. After 96 h of exposure to trichlorfon, an alteration in the gene expression profile of the antioxidant defense system (GST) of the tambaqui was observed. It was also observed that this organophosphate did not affect the expression of genes related to the isoenzymes that are responsible for the biotransformation of xenobiotics in phase I (2J6 and 2C8) and cholinesterase AChE. It was concluded that the reduction in gene expression of GST suggests a decrease in metabolization capacity in phase II.
Subject(s)
Characiformes , Trichlorfon , Animals , Trichlorfon/toxicity , Biomarkers , Real-Time Polymerase Chain Reaction , Water Pollutants, Chemical/toxicity , Liver/drug effects , Time Factors , Insecticides/toxicityABSTRACT
The Fluorescence Image Analyzer (FLIMA) software was developed for the quantitative analysis of images generated by fluorescence in situ hybridization (FISH). Currently, the images of FISH are examined without a coefficient that enables a comparison between them. Through GD Graphics Library, the FLIMA software calculates the amount of pixels on image and recognizes each present color. The coefficient generated by the algorithm shows the percentage of marks (probes) hybridized on the chromosomes. This software can be used for any type of image generated by a fluorescence microscope and is able to quantify digoxigenin probes exhibiting a red color, biotin probes exhibiting a green color, and double-FISH probes (digoxigenin and biotin used together), where the white color is displayed.
Subject(s)
Image Processing, Computer-Assisted/methods , In Situ Hybridization, Fluorescence/methods , Microscopy, Fluorescence/methods , Chromosomes , Evaluation Studies as Topic , Nucleic Acid Hybridization , SoftwareABSTRACT
Identificaram-se quais indicadores de desempenho determinam a variação na lucratividade de 159 fazendas da região Triângulo Mineiro-Alto Paranaíba de Minas Gerais. A lucratividade foi mensurada pela renda líquida anual (RL), RL sobre o valor dos bens e RL sobre a renda bruta. Cento e dezenove fazendas com lucratividade positiva produziram mais leite por mão de obra e por vaca, tinham maior proporção de vacas em lactação e maior proporção de custo com concentrados, custo com mão de obra com menor proporção do custo de produção e menor relação entre o custo com mão de obra e o custo com concentrados do que as 40 fazendas com lucratividade negativa (P<0,01). A análise de componentes principais mostrou que os principais determinantes da variação na lucratividade entre fazendas foram: relação entre o custo com mão de obra e o com concentrados, custo de mão de obra por litro de leite, produção de leite por mão de obra, produção de leite por vaca e proporção de vacas lactantes no rebanho. Maior lucratividade foi associada ao uso mais eficiente da mão de obra, ao maior investimento em concentrados e ao ganho na produção por vaca.(AU)
We identified which performance indicators determined the variation in profitability of 159 farms of the Triângulo Mineiro-Alto Paranaíba region of Minas Gerais. Profitability was measured by annual net income (RL), RL over assets value, and RL over gross income. The 119 farms with positive profitability produced more milk per labor and per cow, had a greater proportion of lactating cows in the herd, had concentrates cost as a greater proportion and labor cost as a smaller proportion of the production cost, and had smaller ratio of labor cost to concentrates cost than the 40 farms with negative profitability (P<0.01). Principal component analysis showed that the key determinants of profitability variation among farms were: The ratio of labor cost to concentrates cost, labor cost per liter of milk, milk yield per labor, milk yield per cow, and the proportion of lactating cows in the herd. Increased profitability was associated with more efficient labor usage, the result of larger investment in concentrates and greater yield per cow.(AU)
Subject(s)
Animals , Female , Cattle , Animal Husbandry , Milk , CattleABSTRACT
Foram avaliados indicadores de desempenho de 159 fazendas de leite da região Triângulo Mineiro-Alto Paranaíba no estado de Minas Gerais, em 2007 e 2008. Os dados foram obtidos mensalmente por 18 consultores privados. A produção de leite foi de 770(697 L/d, oriunda de 81(54 vacas em lactação, exploradas em 109(75 ha. A produção anual de leite por hectare foi de 3333(2.720 L, oriunda de 0,70(0,44 vacas em lactação/ha, por vaca adulta foi de 3383(1.269 L, e 26(8% do rebanho adulto era não lactante. A produção de leite por mão-de-obra contratada foi 103342(44616 L. Concentrados constituíram 30% e mão-de-obra 10% do custo de produção. A renda líquida foi em média positiva, mas o resíduo foi negativo em 15 e 25% das fazendas, quando a estimativa de custo computou ou não os juros sobre o valor dos bens, respectivamente. Os indicadores de lucratividade foram: renda líquida anual R$32841,00; renda líquida anual sobre o valor dos bens 4,7%; e renda líquida sobre a renda bruta 8,7%. Mesmo com desempenho acima das médias brasileira e mineira, os indicadores de desempenho foram modestos, sugerindo existir oportunidade para ganho em eficiências produtiva e financeira.(AU)
Performance indicators of 159 dairy farms in the Triângulo Mineiro-Alto Paranaíba region of the Minas Gerais state, in 2007 and 2008, were evaluated. Data was obtained monthly by 18 private consultants. Milk yield was 770(697 L/d, from 81(54 lactating cows, and 109(75 ha were explored. Yearly milk yield per hectare was 3,333(2,720 L, from 0.70(0.44 lactating cows/ha, per adult cow was 3,383(1,269 L, and 26(8% of the adult herd was non-lactating. Milk yield per hired labor was 103,342(44,616 L. Concentrates cost was 30% and labor 10% of the production cost. The mean net income was positive, but 15 and 25% of the farms had negative residue, when cost was estimated computing or not the interest on assets value, respectively. Profitability indicators were: annual net income R$32,841.00; annual net income over assets value 4.7%; and net income over gross income 8.7%. Even though performance was above Brazilian and Minas Gerais means, performance indicators were modest, suggesting that there is opportunity for gain in productive and financial efficiencies.(AU)
