A new species of Teagueia (Luer) Luer (Orchidaceae: Pleurothallidinae) from the highlands of Northern Peru is described and illustrated with a black and white drawing. This species is the first record of genus Teagueia (Luer) Luer in Peru.

Se describe e ilustra una nueva especie perteneciente al género Teagueia (Luer) Luer (Orchidaceae: Pleurothallidinae), proveniente de la región Lambayeque, al norte del Perú. Esta nueva especie es el primer reporte del género Teagueia (Luer) Luer para el Perú.

Goats are an important component of smallholder family farms along the coast and highlands of Peru. The weight of an animal is an important indicator of the production and economy of farmers in rural areas. Therefore, this study aimed to develop predictive models for Body Weight (BW) using Morphometric Measurements (MM) of Creole goats (Capra hircus) in Perú. BW and five MM were collected from 356 goats from the coast and highlands of Peru. Variables were analyzed using correlation and stepwise regression analysis to select the best model based on the coefficient of determination (r²), adjusted r², Residual Standard Error (RSE), and Akaike Information Criterion (AIC) using the RStudio statistical software. The highest correlation was found between BW and TG (0.76), followed by RW (0.67), and RH (0.65). The combinations of MM selected as predictors of BW by stepwise regression were TG,...

Goat farming in Peru is a husbandry activity that, although it is considered secondary in the country, has a great economic and social impact on the rural population, that is why government efforts to develop is so important. The objective of this study was to characterize dairy goat rearing systems in the coastal valleys of the Lima region to identify gaps and opportunities for improvement. This cross-sectional research was conducted in four provinces located in the Lima region, Peru. A total of 62 goat farmers participated in the trial. For data collection, a standard survey was prepared with open and closed questions distributed across two components (socioeconomic and productive). The surveys were processed for qualitative variables using a multiple correspondence analysis (MCA) followed by a hierarchical cluster analysis (HCA) to differentiate the types of farming systems prevalent ...

El presente trabajo de investigación tiene como objetivo determinar el factor principal de deserción de los estudiantes del primero y segundo ciclo en una universidad privada de Lima – Campus Lima Centro, durante el periodo 2018 I - II. Los participantes fueron 38 estudiantes, el 60% varones y 40% mujeres. En esta investigación se utilizó un diseño no experimental transversal, de enfoque cuantitativo y alcance descriptivo. El instrumento utilizado fue el cuestionario, el mismo que fue descargado por cada estudiante desertor desde una plataforma informática. El análisis de los resultados posibilitó la identificación del factor institucional como principal motivo de deserción. Se concluyó que las principales razones que sostienen este factor son: la mala metodología de enseñanza por parte de los docentes, la infraestructura recién se estaba implementado (como era el caso de...

La presente investigación tuvo como objetivo elaborar hamburguesas a base de pota y carragenina, utilizando la pota como materia prima y atendiendo diferentes porcentajes de carragenina (0,60 - 1,30 -74,40 -8.00 -12.00 %) con la finalidad de encontrar una formulación óptima. La elaboración de este producto se efectuó en el Centro de Producciones y Laboratorios de la Facultad de ingeniería Pesquera y Alimentos de la Universidad Nacional del Callao. Para elaborar Ias hamburguesas a base de pota y carragenina se utilizó 47,60 kilos de pota, 1,86 Kilos de carragenina y otros insumos más. La adición de 8,00 % de carragenina presentó un mayor contenido de proteínas (13,53 g/100g), humedad (70,07g/100g), ceniza (5,82 g/100g) y carbohidratos (5,25 g/100g), y la carga microbiana para todas las producciones se reporté por debajo de lo recomendado por la "Norma sanitaria que establece l...

Universidad Nacional Agraria La Molina. Facultad de Zootecnia. Departamento Académico de Producción Animal

Background: Creole goat husbandry for milk and meat improves food security in rural areas in Perú. Body weight (BW) is a key trait for selecting breeding stock, and it is estimated to be using algorithms. Likewise, BW is common in livestock farming. Aim: This study aimed to compare BW prediction models using a data mining algorithm in Creole goats, considering their biometric measurements. Methods: Data from 1,075 females aged between 1 and 4 years were used. Measurements of chest width, thoracic perimeter, wither height, sacrum height, rump width and length, body length, cannon bone perimeter, age, and region of the herd were recorded. The regression trees (classification and regression tree), support vector regression (SVR), and random forest regression (RFR) algorithms were used. Results: The SVR was better at predicting BWs in Creole goat herds. Similarly, the results were stable du...