Repositorio Digital Institucional de la Universidad Autónoma de Yucatán
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    A multi-inverse approach for a holistic understanding of applied animal science systems

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    Technological and mathematical advances have provided opportunities to investigate new approaches for the holistic quantification of complex biological systems. One objective of these approaches, including the multi-inverse deterministic approach proposed in this paper, is to deepen the understanding of biological systems through the structural development of a useful, best-fitted inverse mechanistic model. The objective of the present work was to evaluate the capacity of a deterministic approach, that is, the multi-inverse approach (MIA), to yield meaningful quantitative nutritional information. To this end, a case study addressing the effect of diet composition on sheep weight was performed using data from a previous experiment on saccharina (a sugarcane byproduct), and an inverse deterministic model (named Paracoa) was developed. The MIA successfully revealed an increase in the final weight of sheep with an increase in the percentage of corn in the diet. Although the soluble fraction also increased with increasing corn percentage, the effective nonsoluble degradation increased fourfold, indicating that the increased weight gain resulted from the nonsoluble substrate. A profile likelihood analysis showed that the potential best-fitted model had identifiable parameters, and that the parameter relationships were affected by the type of data, number of parameters and model structure. It is necessary to apply the MIA to larger and/or more complex datasets to obtain a clearer understanding of its potential

    Biochemical and molecular characterization of native Rhizobia nodulating Leucaena leucocephala with potential use as bioinoculants in Yucatan, Mexico

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    The legume-rhizobium association is widely used around the world to improve crop production via nitrogen fixation (N2-fixation). Inoculation with suitable strains is required in order to establish effective symbioses in soils. Plant growth-promoting rhizobacteria (PGPR) are of biotechnological interest since they can improve plant health and soil fertility. A collection of root-nodulating bacteria was isolated from Leucaena leucocephala in the Yucatan Peninsula in Mexico. The isolates were characterized based on their phenotypic features including growth rate, acidification in culture media, utilization of carbon sources and salinity stress tolerance. The antibiotic resistance level of selected strains was tested against five different antibiotics and showed that most of the strains were sensitive to kanamycin (30 µg) but resistant to ampicillin (10 µg)and trimethoprim/sulfamethoxazole (1.25/23.75 μg). Isolates 40a and 74 produced substantial amounts of indole-3-acetic acid (IAA), and other isolates produced siderophores. These isolates were used to verify their nodulation capacity on L. leucocephala. The 16S rRNA gene products were sequenced to determine the identity and phylogenetic diversity of the isolates, placing them in the genera Rhizobium and Sinorhizobium (syn. Ensifer). Based on this study, we propose that isolates Sinorhizobium (40a) and Rhizobium (74) are potential candidates to be used as inoculants to enhance symbioses and N2-fixation using Leucaena leucocephala in karst soils

    Thoughts about the legal argumentation in the judicial practice

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    Legal argumentation is a discipline of philosophy, whose objective is to interpret the norm regarding the facts presented by the parties in a judicial process. As a consequence, various models of evaluating the facts in real life have appeared, and to be presented by means of argumentation before the judges. Consequently, there are several theories to solve each and every one of these types of problems. Therefore, it is necessary to train judges on legal argumentation, which will help them decide over the most difficult cases they are presented

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