Publications by authors named "Maria C Torres-Madronero"

Article Synopsis
  • The study investigates the effectiveness of two avocado rootstocks, ANRR88 and ANGI52, grafted onto the Hass variety, focusing on their performance under different water stress levels (deficits and excess).
  • Measurements included plant height, leaf area, dry matter, and carbon content in various plant parts, with root traits assessed using digital imaging and stress quantified through vegetation indices (NDVI, CI, MTCI).
  • Results indicated that ANRR88 is more sensitive to water availability changes, while ANGI52 shows better adaptability to both water deficit and excess, emphasizing the importance of selecting appropriate rootstocks for avocado cultivation to improve productivity under variable water conditions.
View Article and Find Full Text PDF

Spectral signatures allow the characterization of a surface from the reflected or emitted energy along the electromagnetic spectrum. This type of measurement has several potential applications in precision agriculture. However, capturing the spectral signatures of plants requires specialized instruments, either in the field or the laboratory.

View Article and Find Full Text PDF

Cutaneous leishmaniasis (CL) is a neglected disease caused by an intracellular parasite of the genus. CL lacks tools that allow its understanding and treatment follow-up. This article presents the use of metrical and optical tools for the analysis of the temporal evolution of treated skin ulcers caused by CL in an animal model.

View Article and Find Full Text PDF

Cutaneous leishmaniasis (CL) is a parasitic disease that produces chronic skin ulcers. Although it has a worldwide presence, it is a neglected disease that still requires novel tools for its management. In order to study the use of optical tools in CL, this article presents a preliminary study of the correlation between CL histopathological and optical parameters.

View Article and Find Full Text PDF

Background: Two-dimensional gel electrophoresis (2-DGE) is a commonly used tool for proteomic analysis. This gel-based technique separates proteins in a sample according to their isoelectric point and molecular weight. 2-DGE images often present anomalies due to the acquisition process, such as: diffuse and overlapping spots, and background noise.

View Article and Find Full Text PDF

Cutaneous leishmaniasis (CL) is a neglected tropical disease that requires novel tools for its understanding, diagnosis, and treatment follow-up. In the cases of other cutaneous pathologies, such as cancer or cutaneous ulcers due to diabetes, optical diffuse reflectance-based tools and methods are widely used for the investigation of those illnesses. These types of tools and methods offer the possibility to develop portable diagnosis and treatment follow-up systems.

View Article and Find Full Text PDF

Various methods and specialized software programs are available for processing two-dimensional gel electrophoresis (2-DGE) images. However, due to the anomalies present in these images, a reliable, automated, and highly reproducible system for 2-DGE image analysis has still not been achieved. The most common anomalies found in 2-DGE images include vertical and horizontal streaking, fuzzy spots, and background noise, which greatly complicate computational analysis.

View Article and Find Full Text PDF