Effect of Azotobacter strains on sugar beet callus proliferation and nitrogen metabolism enzymes

Mezei, S.; Popović, M.; Kovačev, Lazar; Mrkovački, Nastasija; Nagl, Nevena; Malenčić, Đorđe

doi:10.1023/a:1001028922433

Cited by 8 publications

(5 citation statements)

References 15 publications

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“…Nevertheless the GCMC results and the predictions of IAS theory in this case are in reasonably good agreement. The same deviations of the GCMC results from IAS theory at high loading are obtained using a particle insertion scheme ͑suggested by Mezei 48 ͒ that is more efficient for high densities than the standard Norman-Filinov scheme.…”

Section: The Selectivity Coefficient and Ideal Adsorbed Solution Theorysupporting

confidence: 59%

Competitive adsorption of xenon and argon in zeolite NaA. 129Xe nuclear magnetic resonance studies and grand canonical Monte Carlo simulations

Jameson

Lim

1996

The Journal of Chemical Physics

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Investigation of competitive adsorption is carried out using the Xe-Ar mixture in zeolite NaA as a model system. The Xe n clusters are trapped in the alpha cages of this zeolite for times sufficiently long that it is possible to observe individual peaks in the NMR spectrum for each cluster while the Ar atoms are in fast exchange between the cages and also with the gas outside. The 129 Xe nuclear magnetic resonance spectra of 12 samples of varying Xe and Ar loadings have been observed and analyzed to obtain the 129 Xe chemical shifts and the intensities of the peaks which are dependent on the average argon and xenon occupancies. The detailed distributions, f ͑Xe n Ar m ͒, the fractions of cages containing n Xe atoms and m Ar atoms cannot be observed directly in this system, that is, individual peaks for Xe n Ar m mixed clusters are not observed in the NMR spectrum. This information is, however, convoluted into the observed 129 Xe chemical shifts for the Xe n peaks and the distributions P n , the fraction of cages containing n Xe atoms, regardless of the number of Ar atoms, obtained from their relative intensities. Grand canonical Monte Carlo ͑GCMC͒ simulations of mixtures of Xe and Ar in a rigid zeolite NaA lattice provide the detailed distributions and the average cluster shifts, as well as the distributions P n . The agreement with experiment is reasonably good for all 12 samples. The calculated absolute chemical shifts for the Xe n peaks in all samples at 300 K range from 75 to 270 ppm and are in good agreement with experiment. The GCMC results are compared with a strictly statistical model of a binary mixture, derived from the hypergeometric distribution, in which the component atoms are distinguishable but equivalent in competition for eight lattice sites per cage under mutual exclusion. The latter simple model introduced here provides a limiting case for the distributions, with which both the GCMC simulations and the properties of the actual Xe-Ar system are compared.

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Section: The Selectivity Coefficient and Ideal Adsorbed Solution Theorysupporting

confidence: 59%

Competitive adsorption of xenon and argon in zeolite NaA. 129Xe nuclear magnetic resonance studies and grand canonical Monte Carlo simulations

Jameson

Lim

1996

The Journal of Chemical Physics

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“…El efecto beneficioso del Azotobacter no solo se debe a su capacidad bioestimulante, sino a su acción nitrofijadora y excreciones metabólicas que liberan ciertas proteínas y enzimas que pueden producir modificaciones fisiológicas y metabólicas en las plantas (Mezei et al, 1997). El Azospirillum también es considerado como un fijador de nitrógeno atmosférico, ya sea como bacteria libre o en asociación con las plantas, y participa en varias transformaciones relacionadas con el ciclo del nitrógeno, además, produce diversas hormonas como auxinas, giberelinas, ácido abscísico y citoquininas, promoviendo el crecimiento vegetal (De-Bashan et al, 2014), mejorando la absorción de nutrientes, favoreciendo el rendimiento de los cultivos, reduciendo el costo de la fertilización y minimizando la contaminación ambiental, al disminuir la lixiviación de nitrógeno (Da-Silveira et al, 2016).…”

Section: Introductionunclassified

Azotobacter chroococcum y Azospirillum lipoferum como bioestimulantes en cultivo de Ipomoea batatas Lam.

et al. 2019

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Introducción. La utilización excesiva de fertilizantes nitrogenados en cultivos de batata contribuye con la contaminación de los ecosistemas, para disminuir este efecto y mejorar la productividad del cultivo, la incorporación, de rizobacterias promotoras de crecimiento vegetal (PGPRs, por sus siglas en inglés) en las estrategias de manejo del cultivo, constituyen una herramienta sostenible. Objetivo. El objetivo de esta investigación fue incorporar las cepas bacterianas Azotobacter chroococcum IBCR19 y Azospirillum lipoferum IBSC7 en la fertilización nitrogenada y evaluar su efecto en el rendimiento y composición bromatológica de las raíces tuberosas de batata (Ipomoea batatasLam). Materiales y métodos. El estudio se realizó en el municipio de Corozal (Sucre, Colombia), durante los meses de junio a octubre del 2017. Se utilizó un área experimental de 840 m2, donde se establecieron veinticuatro parcelas con esquejes apicales de la accesión 15020078, distribuidas bajo un diseño completamente aleatorizado con arreglo factorial aumentado (3x2+2). Se evaluó materia seca radicular, rendimiento y composición bromatológica de las raíces de batata.Resultados. El rendimiento fresco y de materia seca radicular presentó diferencias significativas (p≤0,05) entre lostratamientos, en donde la aplicación de A. chroococcum IBCR19 y un 75 % de fertilización nitrogenada alcanzó los mayores valores medios de rendimiento y materia seca radicular 12,18 t.ha-1 y 2,92 t.ha-1, respectivamente. De igualforma, las concentraciones de proteína y extracto etéreo difirieron significativamente (p≤0,05) entre los tratamientosinoculados con relación al testigo absoluto. Conclusión. Con base en los resultados obtenidos se puede inferir que la inoculación con A. chroococcum IBCR19 logró reducir en un 25 % los niveles de fertilización nitrogenada y constituye una cepa promisoria como bioestimulante.

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“…To improve the efficiency of accessible pore volume biasing at high guest densities, we recommend coupling it with Mezei's cavity biasing scheme and not re-computing the maps on-the-fly. [54,55] In Mezei's scheme, every insertion is performed by generating several trial insertion points, determining which of those points is within a cavity that is at least a certain radius away from all other particles and the framework, and choosing the actual insertion point at random from the successful trials. The probability, P C (M), to find such a cavity with M total non-framework particles present in the system is kept as a running average throughout the whole simulation, refining the predicted probability as the simulation proceeds.…”

Section: Biasing Via An Accessible Pore Volume Mapmentioning

confidence: 99%

Evaluating the Selectivity of Sorbents for Noble Gas Separations across a Range of Temperatures, Loadings, and Gas Compositions

Lawler

Forster

2016

Zeitschrift anorg allge chemie

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Selectivity is the primary metric for evaluating the effectiveness of a material for the separation of gas mixtures. However, selectivities are difficult to measure experimentally, and, when measured, are typically reported as a single initial selectivity. We have calculated Xe/Kr selectivity as a function of temperature, pressure, and gas composition for HKUST‐1 and six transition metal formates using binary gas grand canonical Monte Carlo (GCMC). Our simulation results agree well with IAST predictions of selectivity from experimental data. We find that selectivity depends strongly on temperature and is best determined at the thermal conditions of the desired process. Additionally, we have shown that improvements in pore volume determination lead to significantly important differences in isotherm prediction that simulated selectivities may be improved by more realistic treatment of this parameter.

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Effect of Azotobacter strains on sugar beet callus proliferation and nitrogen metabolism enzymes

Cited by 8 publications

References 15 publications

Competitive adsorption of xenon and argon in zeolite NaA. 129Xe nuclear magnetic resonance studies and grand canonical Monte Carlo simulations

Competitive adsorption of xenon and argon in zeolite NaA. 129Xe nuclear magnetic resonance studies and grand canonical Monte Carlo simulations

Azotobacter chroococcum y Azospirillum lipoferum como bioestimulantes en cultivo de Ipomoea batatas Lam.

Evaluating the Selectivity of Sorbents for Noble Gas Separations across a Range of Temperatures, Loadings, and Gas Compositions

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