2 resultados para temperatura ambiente
em Repositório Institucional da Universidade Tecnológica Federal do Paraná (RIUT)
Resumo:
Some quality defects can cause changes in attributes of the meat, among these we can detach the PSE meat (Pale, Soft and Exudative). The PSE meat is pale, flaccid and exudative and result from sudden pH decrease while the carcass is still under high temperature. The identification of PSE meat has been done by measuring pH and L* (Lightness). However, studies suggest that a more precise evaluation of the kinetics of pH and temperature decrease has to be conducted to better understand the etiology of PSE meat in poultry. The aim of this study was to obtain the glycolytic curve for normal and PSE meat of chicken, through the pH, L* and CRA (water holding capacity) analysis. This experiment was conducted with carcasses obtained from a commercial slaughterhouse (n = 35) of Cobb lineage, 50 days old, from the same batch of creation and with the same pre-slaughter fasting time (10h). Samples of breast fillets were obtained from carcasses randomly collected immediately at the output of pre-cooling chiller, and the analysis of pH, temperature and L * were conducted in the same in times 1h35, 2h35, 3h35, 5h35, 8h35, 11h35, 14h35, 17h35, 20h35, 23h35 and 25h35 post mortem. The CRA analyzes were performed at the time of 25h35 post mortem. The pH measurements indicated that only from the 04 time (8h35 post mortem) was possible to verify an indicative of stabilization, being that PSE meat pH was 5,69±0,07, and normal meat was 5,93±0,09. The final pH (25h35 post mortem) was 5,98±0,06 and L* 57,30± 2,39 for normal meat, while for PSE meat the result was 5,72±0,06 and L* 59,44±1,51. To CRA, the average of the samples (67,19±3.13 and 64,45± 2.66) showed a difference between the normal chicken fillets and PSE respectively. The data found in this study are consistent with those reported by own research group in another slaughterhouse and contradicts similar works, but made at room temperature, indicating that for chickens under commercial conditions the resolution of rigor mortis occurs after 8h35 post mortem.
Resumo:
The instability of environment between years in climates of subtropical regions difficult to obtain peach trees genotypes with wide adaptation and stable production, contributing to poor crop. The climate instability can affect development stages as flower bud and vegetative bud formation. The factors understanding that control the bud formation, presents elementary importance for effective solutions search to these problems. The objective this work is verify the temperature effect, relative humidity and rainfall on bud density and length shoot (Brindilas) and identify genotypes with more adaptability and stability for this character. Was used 12 peach trees genotypes growing in experimental orchard in the Technology Federal of Paraná State University, Campus Pato Branco with Cfa Köppen climate according to the classification. Data of rainfall, hourly temperature were collected by the weather station of Simepar. They were used three plants for genotype (rehearsal), identify five shoots per tree, in May of each year. Were carried analyzes of length shoot CR (cm), count number of flower bud (GF) and vegetative bud (GV). Also calculated the relationship between GF/GV and flower bud density and vegetative bud density. Evaluations were performer annual 2007-2014. With these data adaptability and stability analyzes were performed using Biplot methodology and correlations analyzes (Pearson) with climates variables. They used the weather data to calculate the sums of hours with temperatures below 20 °C, temperatures between 20-25 °C, temperature between 25-30 °C and temperature above 30 °C, considering the period of August 1fst of the previous period to February 28 of the following year. Pearson correlation coefficients were used for path analysis, GF and DGF as basic variables. For CR, GV and GF the highest average occurred in 2009/10 period. The genotypes ‘BRS Kampai’ and ‘BRS Libra’ highest CR. They are considered stable and adapted as the CR genotypes ‘Casc. 967’ and ‘BRS Kampai’. There was negative correlation between CR and GV for Σh <20 ° C, Σh> 30 °C and Σh with URA <50% and positive correlation between these variables and Σh 25-30 °C and Σh with URA> 70%. The evaluation of GV ‘Cons. 681’ and ‘Casc. 1055’ can be considered adapted and stable. The lowest average was presented by the genotype ‘Sta. Áurea’ though the genotype is also stable. In GF evaluation genotypes are considered adapted ‘BRS Bonão’, ‘Casc. 1055’, ‘Cons. 681’ with adaptability to all evaluated period. In path analysis was direct effect Σh 25-30 °C on flower bud density. In evaluating DGV and DGF and the variations are due to genetic effect. The most adapted and stable genotypes for DGV were ‘T. Beauty’, ‘T. Snow’, ‘Casc. 1055’ and ‘Cons. 681’. CR and GV variables are strongly affected by environment. GF is strongly affected by genetic conditions and moderately affected by environment. DGV and DGF are affected basically by genetic conditions.