No description available.

La finalidad del presente estudio fue evaluar en 2 tiempos la calidad espermática de muestras de semen de ovino tratadas por la técnica de gradiente de densidad con respecto a muestras no tratadas. Se utilizó un total de 102 eyaculados de carnero que presentaron en promedio un volumen de 1.12 ± 0.34 ml, color blanquecino, aspecto cremoso, pH de 6.73 ± 0.25, concentración inicial de 3.54 x 109 ± 5.30 x 108 esp/ml y motilidad masal alrededor del grado 4. Posteriormente, cada eyaculado se dividió en un grupo control y experimental de volúmenes iguales. El semen del grupo control fue diluido con Triladyl® y el experimental, tratado con la técnica de gradiente de densidad. La tasa de recuperación espermática después del tratamiento fue del 31.50 ± 10.89%. Se encontró un aumento significativo (p<0.05) en la motilidad individual progresiva, el porcentaje de espermatozoides vivos y de espermatozoides con membrana intacta en las muestras tratadas con respecto al grupo control (92.07 ± 1.81% vs. 85.74 ± 1.75%, 78.42 ± 5.13% vs. 75.19 ± 4.59%, 78.55 ± 4.34% vs. 73.37 ± 4.48%, respectivamente); así como una disminución significativa (p<0.05) en el porcentaje de espermatozoides anormales en las muestras del grupo experimental con respecto al grupo control (8.41 ± 1.33% vs. 9.94 ± 1.73%). El resto de muestras de ambos grupos fue distribuido en pajillas de 0.25 ml y enfriadas hasta alcanzar los 5°C para su refrigeración por 24 horas. Las muestras tratadas con gradiente de densidad presentaron un aumento significativos (p<0.05), con respecto al grupo control, en motilidad individual progresiva, el porcentaje de espermatozoides vivos y el porcentaje de espermatozoides con membrana intacta (86.94 ± 3.14% vs. 82.44 ± 2.26%, 71.24 ± 4.11% vs. 68.82 ± 4.15%, 70.87 ± 3.11% vs. 67.98 ± 4.42%, respectivamente). En conclusión, la técnica de gradiente favoreció la obtención de un mayor número de espermatozoides vivos, de mejor motilidad y con membrana intacta, así como la disminución del número de espermatozoides anormales tanto en muestras frescas como refrigeradas. The purpose of the present study was to assess at 2 evaluation times the sperm quality from ram semen treated with the density gradient technique and to compare it against non-treated ram semen. A total of 102 ejaculates were evaluated. The mean macroscopic parameters were: volume of 1.12 ± 0.34 ml, creamy white color, creamy-dense appearance, pH of 6.73 ± 0.25, initial concentration of 3.54 x 109 ± 5.30 x 108 spz/ml and mass motility around grade 4. Then, each ejaculate was divided into two equal volume groups: the control and experimental group. For the control group, the sample was diluted in Triladyl®. The experimental group was treated with the density gradient technique. The recovery rate after treatment was 31.50 ± 10.89%.The results showed that, at zero hour, samples treated undergo a significant increase (p <0.05), compared with the control group, in individual progressive motility, percentage of living spermatozoa and the percentage of spermatozoa with intact membrane (92.07 ± 1.81% vs. 85.74 ± 1.75%, 78.42 ± 5.13% vs. 75.19 ± 4.59%, 78.55 ± 4.34% vs. 73.37 ± 4.48%, respectively). There was also a significant decrease (p <0.05) in the percentage of abnormal in samples from the experimental group compared to control group spermatozoa (8.41 ± 1.33% vs. 9.94 ± 1.73%). The remaining samples, from both the control and experimental group, were distributed in 0.25 ml straws and cooled to 5°C for 24 hours refrigeration. Then, the samples were evaluated. After 24 hours at 5°C, the samples treated with the density gradient technique showed significantly greater values (p <0.05), compared with the control group, in individual progressive motility, percentage of living spermatozoa and the percentage of spermatozoa with intact membrane (86.94 ± 3.14% vs. 82.44 ± 2.26%, 71.24 ± 4.11% vs. 68.82 ± 4.15%, 70.87 ± 3.11% vs. 67.98 ± 4.42%, respectively). In conclusion, in the present study, the density gradient technique allowed to obtain better a greater number of living spermatozoa with better motility, intact membrane and with lower abnormalities in fresh and refrigerated samples.

Doctor of Philosophy / Department of Biological and Agricultural Engineering / Ronaldo G. Maghirang / Emission of particulate matter (PM) and various gases from open-lot beef cattle feedlots is becoming a concern because of the adverse effects on human health and the environment; however, scientific information on feedlot emissions is limited. This research was conducted to estimate emission rates of PM[subscript]10 from large cattle feedlots. Specific objectives were to: (1) determine feedlot PM[subscript]10 emission rates by reverse dispersion modeling using AERMOD; (2) compare AERMOD and WindTrax in terms of their predicted concentrations and back-calculated PM[subscript]10 emission rates; (3) examine the sensitivity of both AERMOD and WindTrax to changes in meteorological parameters, source location, and receptor location; (4) determine feedlot PM[subscript]10 emission rates using the flux-gradient technique; and (5) compare AERMOD and computational fluid dynamics (CFD) in simulating particulate dispersion from an area source. PM[subscript]10 emission rates from two cattle feedlots in Kansas were determined by reverse dispersion modeling with AERMOD using PM[subscript]10 concentration and meteorological measurements over a 2-yr period. PM[subscript]10 emission rates for these feedlots varied seasonally, with overall medians of 1.60 and 1.10 g /m[superscript]2 -day. Warm and prolonged dry periods had significantly higher PM emissions compared to cold periods. Results also showed that the PM[subscript]10 emissions had a diurnal trend; highest PM[subscript]10 emission rates were observed during the afternoon and early evening periods. Using particulate concentration and meteorological measurements from a third cattle feedlot, PM[subscript]10 emission rates were back-calculated with AERMOD and WindTrax. Higher PM[subscript]10 emission rates were calculated by AERMOD, but their resulting PM[subscript]10 emission rates were highly linear (R[superscript]2 > 0.88). As such, development of conversion factors between these two models is feasible. AERMOD and WindTrax were also compared based on their sensitivity to changes in meteorological parameters and source locations. In general, AERMOD calculated lower concentrations than WindTrax; however, the two models responded similarly to changes in wind speed, surface roughness, atmospheric stability, and source and receptor locations. The flux-gradient technique also estimated PM[subscript]10 emission rates at the third cattle feedlot. Analyses of PM[subscript]10 emission rates and meteorological parameters indicated that PM[subscript]10 emissions at the feedlot were influenced by friction velocity, sensible heat flux, temperature, and surface roughness. Based on pen surface water content measurements, a water content of at least 20% (wet basis) significantly lowered PM[subscript]10 emissions at the feedlot. The dispersion of particulate from a simulated feedlot pen was predicted using CFD turbulence model ([kappa]-[epsilon] model) and AERMOD. Compared to CFD, AERMOD responded differently to wind speed setting, and was not able to provide detailed vertical concentration profiles such that the vertical concentration gradients at the first few meters from the ground were negligible. This demonstrates some limitations of AERMOD in simulating dispersion for area sources such as cattle feedlots and suggests the need to further evaluate its performance for area source modeling.