No abstract

Papaya (Carica papaya L.) is a crop of great economic importance. It is the fourth most produced tropical fruit in the world. The most substantial problems faced during its production are pests and diseases, which is why it has been planted under greenhouse conditions. However, it is required that the plants not be of great height not to need tall greenhouses. Therefore, this research aims to evaluate to the salinity effect and identify nutritive solutions that reduce plant height. The experimental design was completely randomized with four treatments and ten replications. The treatments were four concentrations of Steiner nutrient solution (50 %, 100 %, 150 %, and 200 %) in whose composition are anions (phosphate, nitrate, and sulfate) and cations (potassium, calcium, and magnesium), thus generating electrical conductivity of 1.0, 2.0, 3.0, and 4.0 dS/m, respectively. The variables evaluated were plant height, number of leaves, stem diameter, foliar area, chlorophyll a and b concentration, proline content, and foliar nutrient concentration. The nutrients comprise nitrogen, phosphorus, potassium, calcium, and magnesium. The analysis of variance indicated significant differences in all variables except magnesium concentration. As salinity increased, plant height, number of leaves, stem diameter, leaf area, phosphorus, potassium, and calcium decreased, but chlorophyll a and b concentration, proline content, and nitrogen increased. We conclude that Steiner nutrient solution with 4.0 dS/m (200 %) can reduce plant height  to grow it in greenhouses.

Se llevo a cabo una reacción fotocatalítica para degradar un colorante comercial y obtener los modelos matemáticos para el diseño de un reactor tipo Batch que opere a condiciones ambientales. La reacción se realizó con una solución de 30 ppm de azul de mezclilla y 0.9 mg de catalizador TiO2, a 6 h de reacción se obtuvo el 95% de degradación. La constante cinética de reacción obtenida a partir del perfil de degradación fue de  y tiempo de reacción de 389 min, con estos parámetros se determinaron las medidas para la construcción de un reactor optimizado y que proporcione alto porcentaje de conversión para estudios futuros de degradación de contaminantes por fotocatálisis.