Efecto del uso de un secador solar tipo invernadero para la deshidratación de alfalfa (Medicago sativa l. var. zaino)

El objetivo del estudio fue determinar el efecto del uso de un secador solar tipo invernadero para la deshidratación de alfalfa (Medicago sativa L. var Zaino), las variables evaluadas fueron la humedad relativa y temperatura dentro y fuera del secador solar, los porcentajes de proteína bruta y materia seca parcial. El tamaño de partícula de la alfalfa fue reducido manualmente previo a su ingreso al secador solar donde permaneció durante 4 días para su estudio. Se le realizó a la muestra 2 exámenes bromatológicos completos, el primero antes de ser ingresada la muestra al secador y la segunda al salir de el. La temperatura, humedad relativa y el contenido de materia seca parcial de la muestra fueron evaluadas diariamente. El secador solar tipo invernadero a pesar de alcanzar en su interior niveles de temperatura y humedad mayores a los alcanzados fuera del mismo, no es capaz de producir alfalfa deshidratada, debido a los factores climáticos que afectaron el área de la ciudad de Guatemala, durante el período de evaluación

VARIABLE SELECTION FOR ROAD SEGMENTATION IN AERIAL IMAGES

For extraction of road pixels from combined image and elevation data, Wegner et al. (2015) proposed classification of superpixels into road and non-road, after which a refinement of the classification results using minimum cost paths and non-local optimization methods took place. We believed that the variable set used for classification was to a certain extent suboptimal, because many variables were redundant while several features known as useful in Photogrammetry and Remote Sensing are missed. This motivated us to implement a variable selection approach which builds a model for classification using portions of training data and subsets of features, evaluates this model, updates the feature set, and terminates when a stopping criterion is satisfied. The choice of classifier is flexible; however, we tested the approach with Logistic Regression and Random Forests, and taylored the evaluation module to the chosen classifier. To guarantee a fair comparison, we kept the segment-based approach and most of the variables from the related work, but we extended them by additional, mostly higher-level features. Applying these superior features, removing the redundant ones, as well as using more accurately acquired 3D data allowed to keep stable or even to reduce the misclassification error in a challenging dataset

Additional file 2: of Genetic diversity of Elaeis oleifera (HBK) Cortes populations using cross species SSRs: implication’s for germplasm utilization and conservation

Information of country, collection sites and population size included in the study. (DOCX 16 kb

Additional file 4: Table S6. of Association Mapping of Yield and Yield-related Traits Under Reproductive Stage Drought Stress in Rice (Oryza sativa L.)

List of genes in association bins for grain yield under drought. (XLSX 141 kb