BUSCADOR RECOLECTA

Water scarcity presents an increasingly urgent challenge with global implications for the production of irrigated vegetables. Among these crops, tomatoes stand out as one of the most widely cultivated. Given their vulnerability to water stress, it is crucial to ensure efficient and sustainable water management for tomato irrigation. This study aims to explore the varying capacities for drought avoidance, drought acclimation, and drought tolerance among three local and three commercial resilient tomato varieties in response to water stress and re-watering. We subjected tomato plants to either two brief periods of water stress (WE1) or one extended period of water stress (WE2), followed by rehydration, as evidenced by the measured stem water potential (Ψstem ≈ -1.6 MPa). Physiological and biochemical parameters were analyzed to understand how different tomato varieties respond to water stress. Our results did not reveal significant differences in the response to water stress among the varieties that could be attributed to their origin. Once the plants were rehydrated, they quickly regained their original values, with no statistically significant differences compared to untreated plants. An assessment of lipid peroxidation, antioxidant capacity, phenols, and flavonoids revealed that only during the second episode of water stress in WE1 plants or at the end of the prolonged water stress in WE2 plants did water stress trigger an overproduction of reactive oxygen species (ROS), which attacked membrane lipids and resulted in oxidative damage. However, after rehydration, tomato plants returned to normal values of oxidative parameters, indicating the absence of irreversible damage. Although the severe water stress did not compromise the viability of the plants, all treatments and varieties exhibited a predictable and substantial growth inhibition. In conclusion, the different tomato varieties studied displayed similar responses to water stress, primarily characterized by inhibition of gas exchange processes and heightened oxidative stress. Nonetheless, none of the plants suffered irreversible damage from this stress, as they fully recovered their normal physiological and biochemical values following re-watering. The whole work can be download at: https://doi.org/10.1016/j.agwat.2023.108529

Descripción del dataset

Original data for the paper, in a excel file with several sheets.

1. Metolodogía (empleada para la recogida o generación de los datos)

Data were obtained in an assay of tomato in a greenhouse.

Cellular evolutionary algorithms (cEAs) use structured populations whose evolutionary cycle is governed by local interactions among individuals. This helps to prevent the premature convergence to local optima that usually takes place in panmictic populations. The present work extends cEAs by means of a message passing phase whose main effect is a more effective exploration of the search space. The mutated offspring that potentially replaces the original individual under cEAs is considered under message passing cellular evolutionary algorithms (MPcEAs) as a message sent from the original individual to itself. In MPcEAs, unlike in cEAs, a new message is sent from the original individual to each of its neighbors, representing a neighbor’s mutated offspring whose second parent is selected from the neighborhood of the original individual. Thus, every individual in the population ultimately receives one additional candidate for replacement from each of its neighbors rather than having a unique candidate. Experimental tests conducted in the domain of real function optimization for continuous search spaces show that, in general, MPcEAs significantly outperform cEAs in terms of effectiveness. Specifically, the best solution obtained through MPcEAs has an importantly improved fitness quality in comparison to that obtained by cEAs.

Fractals are a family of shapes formed by irregular and fragmented patterns. They can be classified into two main groups: geometric and algebraic. Whereas the former are characterized by a fixed geometric replacement rule, the latter are defined by a recurrence function in the complex plane. The classical method for visualizing algebraic fractals considers the sequence of complex numbers originated from each point in the complex plane. Thus, each original point is colored depending on whether its generated sequence escapes to infinity. The present work introduces a novel visualization method for algebraic fractals. This method colors each original point by taking into account the complex number with minimum modulus within its generated sequence. The advantages of the novel method are twofold: on the one hand, it preserves the fractal view that the classical method offers of the escape set boundary and, on the other hand, it additionally provides interesting visual details of the prisoner set (the complement of the escape set). The novel method is comparatively evaluated with other classical and non-classical visualization methods of fractals, giving rise to aesthetic views of prisoner sets.

The evacuation problem is usually addressed by assuming homogeneous media where pedestrians move freely in the presence of several exits and obstacles. From a more general perspective, this work considers heterogeneous media in which the velocity of pedestrians depends on their location. We use cellular automata with a floor field that indicates promising movements to pedestrians and, in this context, we extend two competitive evacuation methods in order for them to be applied to heterogeneous media: the Fast Marching Method and the Fast Evacuation Method. Furthermore, we evaluate the performance that these two methods exhibit over different simulated scenarios characterized by the presence of heterogeneous media. The resulting winning method in terms of evacuation effectiveness is greatly influenced by the particular problem being simulated.