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A Comparative Study of Freshwater Fish Burgers Made from Three Amazonian Species: Omega 3 Fortification and Sodium Reduction
(Universidad Nacional de Jaén, 2024-02-26) Rios Mera, Juan Dario
This study aimed to formulate burgers made from three Amazonian fish species: pacu (Pyaractus brachypomus), boquichico (Prochilodus nigricans), and bujurqui (Chaetobranchus flavescens), focusing on sodium reduction and fortification with fish oil microparticles (FOM) rich in eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA). The proximal composition, sodium and calcium content, instrumental texture profile, fatty acid profile, sensory profile, and overall liking were evaluated. Differences in proximal composition and fatty acid profiles between the fillets were reflected in the burgers. Fortification with FOM increased EPA and DHA in the burgers; thus, they can be considered “high in omega-3 fatty acids” and reduced the n-6/n-3 ratio below 4. There were sensory attributes that could be related to lipid oxidation but reduced overall liking for less than 10% of consumers. Nevertheless, certain sensory attributes (grilled, characteristic, aromatic, tasty, tender, and juicy) had a positive impact on the overall liking of more than 20% of consumers, yielding adequate scores (between 5.60 and 5.71) on the 9-point hedonic scale. The production process must be optimized by knowing the fish fillet quality in depth, improving the FOM and burgers’ oxidative stability, and achieving an adequate sensory and hedonic profile by employing consumers’ vocabulary to characterize new products.
A comprehensive review of the benefits of drinking craft beer: Role of phenolic content in health and possible potential of the alcoholic fraction
(Current Research in Food Science, 2023-03-08) Hernández Martínez,Ernesto; Minchán Velayarce,Hans Himbler; Pasapera Campos,Sandra Eloisa
Currently, there is greater production and consumption of craft beer due to its appreciated sensory characteristics. Unlike conventional beer, craft beers provide better health benefits due to their varied and high content of phenolic compounds (PCs) and also due to their alcohol content, but the latter is controversial. The purpose of this paper was to report on the alcoholic fraction and PCs present in craft beers and their influence on health. Despite the craft beer boom, there are few studies on the topic; there is a lot of field to explore. The countries with the most research are the United States > Italy > Brazil > United Kingdom > Spain. The type and amount of PCs in craft beers depends on the ingredients and strains used, as well as the brewing process. It was determined that it is healthier to be a moderate consumer of alcohol than to be a teetotaler or heavy drinker. Thus, studies in vitro, with animal models and clinical trials on cardiovascular and neurodegenerative diseases, cancer, diabetes and obesity, osteoporosis and even the immune system suggest the consumption of craft beer. However, more studies with more robust designs are required to obtain more generalizable and conclusive results. Finally, some challenges in the production of craft beer were detailed and some alternative solutions were mentioned.
A comprehensive review on monitoring and purification of water through tunable 2D nanomaterials
(Brazilian Journal of Biology, 2023-06-09) Caira Mamani,Cirilo Mario
Instead of typical household trash, the heavy metal complexes, organic chemicals, and other poisons produced by huge enterprises threaten water systems across the world. In order to protect our drinking water from pollution, we must keep a close eye on the situation. Nanotechnology, specifically two-dimensional (2D) nanomaterials, is used in certain wastewater treatment systems. Graphene, g-C3 N4 , MoS2 , and MXene are just a few examples of emerging 2D nanomaterials that exhibit an extraordinary ratio of surface (m3), providing material consumption, time consumption, and treatment technique for cleaning and observing water. In this post, we’ll talk about the ways in which 2D nanomaterials may be tuned to perform certain functions, namely how they can be used for water management. The following is a quick overview of nanostructured materials and its possible use in water management: Also discussed in length are the applications of 2D nanomaterials in water purification, including pollutant adsorption, filtration, disinfection, and photocatalysis. Fluorescence sensors, colorimetric, electrochemical, and field-effect transistors are only some of the devices being studied for their potential use in monitoring water quality using 2D nanomaterials. Utilizing 2D content has its benefits and pitfalls when used to water management. New developments in this fast-expanding business will boost water treatment quality and accessibility in response to rising awareness of the need of clean, fresh water among future generations.
A sequential approach to reduce sodium chloride in freshwater fish burgers considering chemical, texture, and consumer sensory responses
(Universidad Nacional de Jaén, 2024-02-26) Rios Mera, Juan Dario
The objective of this work was to determine the effect of the reduction and substitution of salt (NaCl) in pacu (Piaractus brachypomus) burgers, an Amazonian freshwater fish. In the first stage, five treatments with NaCl concentrations from 0.5 to 1.5 g/100 g were evaluated for proximal composition, instrumental texture, cooking losses, sensory profile, overall liking, and lipid oxidation for eight weeks. The results suggest a 50% reduction in NaCl content without affecting the parameters of burgers. In the second stage, NaCl was replaced up to 50% by potassium chloride (KCl) or calcium chloride (CaCl2), observing that CaCl2 at 50% substitution of NaCl presents better compatibility with the product in the chemical aspect, instrumental texture, sensory profile and overall liking, with the improvement in the decrease of the lipid oxidation compared to the product with only NaCl. The NaCl reductions in the two stages reached up to 75% NaCl reduction in the burger, showing the salience of studying first the NaCl reduction and then the incorporation of NaCl substitutes.
Amazon Fruits as Healthy Ingredients in Muscle Food Products: A Review
(Foods, 2024-07-01) Rios Mera,Juan Dario; Arteaga Miñano,Hubert Luzdemio
When looking for new ingredients to process red meat, poultry, and fish products, it is essential to consider using vegetable resources that can replace traditional ingredients such as animal fat and synthetic antioxidants that may harm health. The Amazon, home to hundreds of edible fruit species, can be a viable alternative for new ingredients in processing muscle food products. These fruits have gained interest for their use as natural antioxidants, fat replacers, colorants, and extenders. Some of the fruits that have been tested include açai, guarana, annatto, cocoa bean shell, sacha inchi oil, and peach palm. Studies have shown that these fruits can be used as dehydrated products or as liquid or powder extracts in doses between 250 and 500 mg/kg as antioxidants. Fat replacers can be added directly as flour or used to prepare emulsion gels, reducing up to 50% of animal fat without any detrimental effects. However, oxidation problems of the gels suggest that further investigation is needed by incorporating adequate antioxidant levels. In low doses, Amazon fruit byproducts such as colorants and extenders have been shown to have positive technological and sensory effects on muscle food products. While evidence suggests that these fruits have beneficial health effects, their in vitro and in vivo nutritional effects should be evaluated in muscle food products containing these fruits. This evaluation needs to be intended to identify safe doses, delay the formation of key oxidation compounds that directly affect health, and investigate other factors related to health.
An Overview of 20 Years of Pisco Spirit Research: Trends and Gaps Revealed by a Systematic Review
(Beverages, 2025-05-26) Rios Mera,Juan Dario
Pisco is an emblematic spirit in Peru and Chile, made from fermented grapes, gaining growing scientific interest over the last two decades. This study aimed to map 20 years of research on Pisco through a systematic bibliometric review. A search was conducted in the Scopus database covering the period from 2004 to 2024, applying the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodology for the transparent selection of scientific articles. The search strategy considered titles, abstracts, and keywords, using the terms “Pisco” and “schnapps”, excluding unrelated fields such as geology (basin, seismic, fossil). The initial search yielded 360 records. After removing non-original articles (books, book chapters, conference papers, and reviews), 101 articles remained. A further screening excluded irrelevant studies (e.g., those referring to the city of Pisco rather than the beverage), resulting in 78 articles included for final analysis. It was observed that 19% of the studies focus on the history, culture, and appellation of origin; 14% on environmental sustainability; 10% on innovation and quality; and 9% on the bioactive properties of by-products. Other areas include extraction technologies (9%), distillation process modeling (8%), and marketing and economics (8%), among others. Recent trends are related to clean production practices. Thus, Pisco by-products and their components can be exploited by applying technologies such as supercritical fluids, drying, and biofilms, while, for waste management, the processes of composting, solar photo-Fenton, and ozonation can be applied. Moreover, it is important to highlight that the valorization of Pisco by-products opens opportunities for translation into the market, particularly in developing cosmetics, nutritional supplements, and bio-packaging materials, contributing to sustainability and innovation in new industries. However, a more holistic view is still needed in Pisco research. These findings suggest that future research should prioritize the integration of consumer-based sensory evaluations and sustainable production innovations to optimize Pisco’s quality, enhance market acceptance, and promote environmentally responsible industry practices
Analysis of the biological and chemical characteristics of cabbage (Brassica oleracea var. Capitata L.) Fed with compost based on sugarcane residues
(Brazilian Journal of Biology, 2023-08-28) Caira Mamani,Cirilo Mario
The pandemic and the geopolitical conflict between Russia and Ukraine are events that have caused economic instability in Peru. Reason that was investigated on the analysis of the biological and chemical characteristics of cabbage fed with compost based on sugarcane residues. The objective was to analyze the physical, chemical and biological characteristics of cabbage from the adequate dose of compost based on sugarcane residues and distance between plants. It is based on the methodology applied with an experimental approach, for which the Completely Random Block Design with a 4x 2 factorial arrangement was used, which consisted of 3 blocks and 8 treatments that were the combination: F1 with 0, F2 with 8, T3 with 10 and F4 with 12 t/ha and spacing (D1) with 0.30 m between plants and 0.60 m between rows and (D2) with 0.35 m between plants and 0.60 m between rows. The physical characteristics of cabbage were evaluated and processed by analysis of variance, nutrient concentrations in leaves and stomatal density were analyzed. The results determined that T7 stood out in plant height with 41.88 cm, yield with 26.76 tn/ha and T6 in root length with 20.22 cm. In chemical analysis of leaves T1 stood out in nitrogen, phosphorus, potassium and T4 in calcium, magnesium and sulfur. In T7 stomata density with 977 stomata/mm2. It concludes that at an adequate dose and greater distance that T7 stands out in the concentration of nutrients that are within normal values and high density of stomata; Therefore, these characteristics influenced the optimal biochemical reactions, which obtained good development and yield that differed at 51.39% and 32.17% with respect to the controls T1 and T5
Analysis of the chemical and biological characteristics and their relationship with the yield of radish (Raphanus sativus L.) nourished with compost based on plant residues
(Brazilian Journal of Biology, 2024-08-05) Caira Mamani,Cirilo Mario
The increase in fertilizer prices was 20% after the pandemic, which increased the cost of crop production in Peru. For this reason, research was conducted on the analysis of the chemical and biological characteristics and their relationship with the yield of radish nourished with compost based on plant residues. The objective was to analyze the chemical and biological characteristics and their relationship with the yield of radish nourished with vegetable waste-based compost. It is based on the methodology applied with an experimental approach; therefore, the statistical model of the Completely Randomized Block Design was used, which consisted of 3 blocks and 5 treatments that were T1 with 0, T2 with 4, T3 with 6, T4 with 8 and T5 with 10 t/ha of compost based on vegetable residues, and the doses were applied 14 days after sowing. Physical characteristics (total plant length, plant weight, bulb equatorial diameter and marketable yield), nutrient concentrations (nitrogen, potassium, phosphorus, calcium, magnesium, sulfur, molybdenum, iron, manganese, copper, zinc, boron, chlorides and sodium) in leaves and stomata density were evaluated. The results determined that T5 stood out in total plant length with 28.07 cm, plant weight with 75 g, bulb equatorial diameter with 4.52 cm and commercial yield with 22.53 t/ha. In the total contribution of nitrogen in relation to yield with 300.44 kg/ha. Profitability with 186.8%. Quantification of stomata per treatment with 598 stomata/mm2 and concentration of nutrients in leaves at T3 with nitrogen, potassium, phosphorus and magnesium. It concludes that T5 , which has an adequate concentration of nutrients in leaves such as magnesium, manganese, zinc and stomata density of 598 stomata/mm2 influenced optimal biochemical reactions that resulted in the highest yield with 22.53 t/ha, differing by 31.38% in relation to T1 .
Analysis of the innovation system in the adoption of IR-43 (NIR) and Tinajones rice varieties by farmers of the Camaná Valley
(Brazilian Journal of Biology, 2024-12-02) Caira Mamani,Cirilo Mario
In the last 30 years, rice production in Peru has grown 4.88 times. Rice in the Camaná Valley of the department of Arequipa is one of the most important food crops in the regional economy with a world record in yield for paddy rice. The objective was to analyze the innovation system in the adoption of IR-43 (NIR) and Tinajones rice varieties by rice farmers in the Camaná Valley and determine the impacts on improvements in the quality of life of farmers. This study used the innovation systems framework to explore four key aspects of innovation systems: Actors, the roles they play and the activities in which they are involved, attitudes and practices of the main actors, patterns of interaction between the main actors and the enabling environment. It was determined that the adoption of IR-43 (NIR) and Tinajones varieties was facilitated by the existence of a diversity of collective intelligence mechanisms to organize interactions for innovation, government actors have been identified (INIA, SENASA, Agrarian Agencies); private companies (CORDESA Camaná, commercial houses, phytosanitary companies), media, rice producers, a sociotechnical regime that constitutes the mills, financing entities, market information and marketing agents, forming a network of social and economic actors, which interact with each other for the adoption of rice varieties. The livelihoods of producers have been favored by human, social, natural, financial and political capital. The increase in yields and a better price of the product allows them to improve their economies.
Anthocyanins in relation to nutrients, stomatal density, and yield of purple lettuce (Lactuca sativa L.) fertilized with compost based on bleaching earth
(Brazilian Journal of Biology, 2025-03-06) Caira Mamani,Cirilo Mario
In Peru, in recent years, the gastronomic boom has stood out globally, which has increased the production of edible oil in the oil industries, generating too much bleaching land. This study investigated anthocyanins in relation to nutrients, stomata density and yield of purple lettuce nourished with bleaching soil-based compost. The objective was to analyze the concentration of anthocyanins as a function of nutrients, stomata density and yield of purple lettuce nourished with such compost. It is based on a methodology applied with an experimental approach; for which the statistical model of the Completely Randomized Block Design was used, consisting of 3 blocks and 5 treatments which were T1 with 0, T2 with 6, T3 with 8, T4 with 10 and T5 with 12 t/ha of compost based on bleaching soil and the doses were applied 15 days after transplanting. Total plant length, plant height, plant weight, commercial yield, and equatorial diameter were evaluated. Additionally, the concentration of nutrients in leaves (Nitrogen, potassium, phosphorus, calcium, magnesium, sulfur, molybdenum, iron, manganese, copper, zinc, boron, chlorides, and sodium), anthocyanin, stomatal density, and profitability. The results determined that T5 stood out in total plant length with 32 cm, plant height with 27 cm, plant weight with 200.27 g, commercial yield with 23.57 t/ha and equatorial diameter with 16.17 cm. Total nitrogen supply was 255.1 kg/ha. Nutrient concentrations in leaves were phosphorus, sulfur, molybdenum, manganese, copper, zinc and boron. Stomata density in leaves with 118 stomata/mm2. Profitability with 129% and anthocyanin concentration in T2 leaves with 89.25 mg/100g. It is concluded that adequate anthocyanin concentration in T5 , with 62.86 mg/100 g, influenced the concentration of most nutrients and greater density of stomata in the leaves, acting as a defense mechanism against nutritional and environmental stress, obtaining higher yields, 30% higher compared to the control.
Application of the Greenhouse Gas Protocol (GHG Protocol) and the ISO 14064-1: 2006 standard for the estimation of the carbon footprint at the National University of Jaen in 2021
(Universidad Nacional de Colombia||DYNA, 2023-05-31) Ocaña Zúñiga,Candy Lisbeth
The objective of the study is to estimate the Carbon Footprint of the National University of Jaen (UNJ), for the period 2021. The direct Scope 1 (fuel consumption) and indirect Scope 2 (electricity consumption) greenhouse gas (GHG) emissions were calculated from CO2, CH4 and N2O produced in 29 administrative offices of the university campus. The methodology used was proposed by the GHG Protocol and ISO 14064-1:2006. For fuel emission factors, the indicators established by the Intergovernmental Panel on Climate Change (IPCC) were used, and for electrical energy: 1.56E-01 tCO2/MWh, 9.70E-06 tCH4/MWh, 1.20E-06 tN2O/MWh, and specific conversion factors established by the Ministry of the Environment (MINAM) were used. The results show that a total of 29.3937 tCO2eq were emitted, being CO2 the predominant GHG (23.1364 t). Scope 1 contributed 15,6827 tCO2eq, occupying the highest participation with 53.35 %
Assembly Algorithms for Seismic Vulnerability Estimation in Confined Masonry Dwellings
(IIETA, 2024-06-24) Arce Fernández,Nilthon
In Peru, confined masonry houses are self-built, which makes it crucial to determine their seismic vulnerability. The objective of the research was to estimate the seismic vulnerability of confined masonry dwellings in the Pueblo Libre-Jaén sector using assembly algorithms. A database was constructed with data obtained from the National Institute of Civil Defense (INDECI), scientific articles, and theses. Subsequently, the data set was divided into a training set (80%) and a validation set (20%), employing the stacking method with five combinations CB_1, CB_2, CB_3, CB_4, and CB_5. The basic algorithms Gradient-Boosting, Random-Forest, Extra-Tree, and Decision-Tree were utilized as the base algorithms, with the final estimator being the Random Forest Meta-Learner. The models were trained and validated in Python, achieving accuracies of 94.95, 95.48, 95.39, and 95.66 for the base models and 95.62, 95.23, 95.76, 95.90, and 94.80% for the ensemble models. The most accurate models were the simple Gradient Boosting (95.66%) and the assembled models CB_3 (95.76%) and CB_4 (95.90%). The CB_4 model, which is composed of the Decision Tree and Gradient Boosting algorithms, was applied to the Pueblo Libre sector and yielded a reliability estimate of greater than 95% for the seismic vulnerability of confined masonry. This estimate was classified as high (1.48%), moderate (32.85%), and low (65.67%). It is anticipated that the model implemented will enable engineers and authorities to implement mitigation measures to reinforce housing in the event of a seismic event.
Biological and chemical characterization in relation to the yield of radish (Raphanus sativus L.) nourished with humus from plant residues
(Brazilian Journal of Biology, 2025-06-03) Caira Mamani,Cirilo Mario
The food crisis in Peru has intensified due to the increase in the costs of raw materials, such as energy sources, fertilizers, and other industrial inputs, as a result of global socioeconomic instability. For this reason, research was conducted on the antioxidant in relation to nutrition, stomatal density, and yield in cilantro nourished with compost leachate based on vegetable waste (CLPW). The objective was to analyze the antioxidants in relation to nutrition, stomatal density, and the yield of cilantro nourished with CLPW. The methodology was based on an applied experimental approach, so the statistical model of completely randomized block design was employed, which consisted of 3 blocks and 5 treatments: T1 with 0, T2 with 2, T3 with 3, T4 with 4, and T5 with 5 liters of CLPW per 200 liters of water. The doses were applied 15 and 30 days after planting. The data obtained from the physical characteristics of cilantro, such as total length, plant weight, number of leaves, and commercial yield, were processed using analysis of variance and the Duncan test. Additionally, the concentration of nutrients (nitrogen, potassium, phosphorus, calcium, magnesium, sulfur, molybdenum, iron, manganese, copper, zinc, boron, chlorides, and sodium), antioxidant capacity, stomatal density in leaves, and profitability were evaluated. The results determined that T5 stood out in total length with 55.23 cm, plant weight with 79.63 g, number of leaves with 162, and commercial yield with 27.017 t/ha. Regarding nutrient concentration, T5 stood out in calcium, magnesium, iron, boron, and chlorides, with a profitability of 334%. T4 stood out in antioxidant capacity with 4638.1 μmol Trolox/100 g sample, while T1 showed the highest stomatal density with 143 stomata/mm2. In conclusion, T4, with 4638.1 μmol Trolox/100 g sample, exhibited the highest antioxidant capacity. However, T5, with 4212.8 μmol Trolox/100 g sample, promoted greater nutrient absorption, lower stomatal density, and other biochemical reactions, which resulted in strengthening against environmental stress and, consequently, higher yield.
Cambio climático y su influencia en la variabilidad climática revelada en los anillos de crecimiento de árboles de tres biomas del norte de Perú
(Universidad Nacional de Jaén, 2024-04-20) Marcelo Peña, José Luis
Los bosques estacionalmente secos, bosques montanos húmedos y los bosques lluviosos de tierras bajas del norte del Perú son de relevancia por sus altos niveles de diversidad y endemismos. Desafortunadamente, el conocimiento sobre la ecología de estos biomas y su respuesta a la variabilidad y cambios del clima es precario. En esta investigación evaluaremos como la dinámica del crecimiento de los árboles es influenciada por la variabilidad climática, particularmente en sus expresiones extremas producidas por eventos de El Niño y el monsón tropical. La información dendroclimática será la base para reconstruir el clima de los últimos 150 años, información que será validada con datos históricos sobre episodios pluviométricos extremos. En los tres biomas trabajaremos a dos escalas: (i) monitoreo de la dinámica de bosque mediante remediciones de árboles en parcelas de observación permanente y con (ii) análisis dendrocronológico en los biomas propuestos. Analizaremos la sensibilidad climática de los árboles a las sequías y de cómo estos eventos inciden en la dinámica de crecimiento de los árboles, permitiendo reconstruir hacia el pasado eventos extremos. Los resultados servirán de base para tomar recaudos respecto a los efectos del cambio climático en la dinámica de los ecosistemas naturales y su impacto en la economía y sociedades del norte de Perú.
Climatic Aggressiveness and Precipitation Concentration in a Peruvian Amazon Basin: Alto Huallaga Interbasin
(Revista Politecnica, 2025-05-31) Piedra Tineo,José Luis; Cayatopa Calderon,Billy Alexis
Precipitation in the central Peruvian Amazon is characterized by being seasonal and with strong intensities during the first months of the year, leading to flooding and the subsequent collapse of the local infrastructure in provinces of San Martin, Huanuco, Pasco and La Libertad Regions of Peru, which are located within the delimitation of the Alto Huallaga Interbasin. Therefore, the objective of this research was to evaluate the climatic aggressiveness and concentration precipitation in the Amazon basin, applying three indices of aggressiveness and a precipitation concentration index (ICP), estimated from the precipitation record of the climatic stations in the study area. The results show a very high correlation between mean precipitation and altitude (R2 = 0.72) and with respect to the aggressiveness, the modified Fournier-Maule index (IFMM) was the one with the best correspondence with respect to altitude (R2 = 0.72) and mean precipitation (R2 = 0.98), however, the ICP shows moderate correlations with altitude (R2 = 0.21) and mean precipitation (R2 = 0.16). Likewise, the extreme values of the different indices were estimated for different return periods and a multiple linear regression model was developed to relate climatic aggressiveness and the ICP to estimate the mean precipitation (R2 = 0.99). Finally, it is concluded that, the Alto Huallaga Interbasin presents a very low climatic aggressiveness and the concentration of rain is moderately seasonal.
Coffee fermentation from traditional to controlled and its impact on sensory quality: a review
(Coffee Science, 2025-09-16) Neyra Vergara,Tatiana Jazmin; Melendrez Mauriol,Oscar; Cubas Heredia,Blanca Yorlith; Contreras Ocupa,Gaby Norelli; Herrera Salazar,Diana Maricel; Diaz Mundaca,Eyla Esther; Rivera Botonares,Ralph Stein; Hernández Martínez,Ernesto
Coffee fermentation has evolved from traditional methods, such as traditional processing methods (washed/wet, natural/dry, honey/semi-dry) with fermentation types (wet, dry, mixed), to controlled fermentations, such as carbonic maceration, induced fermentation, and biodigestive processing, to improve the sensory quality of the final product. This evolution is compounded by technological advances, such as the use of metagenomic tools for the identification of microorganisms and enzymes to accelerate mucilage degradation. This review synthesizes and compares various coffee fermentation techniques, analyzing their influence on sensory profiles. To this end, a systematic bibliographic review of 118 scientific articles published between 2014 and 2024 was conducted in databases such as ScienceDirect, Scopus, IOPscience, Springer Nature, and Dialnet, ultimately highlighting 80 relevant studies using the PRISMA method criteria. The results indicate that controlled fermentation allows for the efficient use of microorganisms such as Saccharomyces cerevisiae, Candida parapsilosis, and Lactiplantibacillus plantarum, which contribute to the development of complex sensory attributes in coffee, highlighting fruity, floral, sweet, and acidic notes. Factors such as time, temperature, and inoculum type have a significant impact on the sensory profile. Principal component analysis showed that the Catuí variety was the most associated with cup score, followed by Acaiá. Furthermore, it was evident that temperature and fermentation time primarily influenced Catuaí Vermelho, and that the Typica and Caturra varieties exhibited similar behavior within the diagram. Together, the application of controlled fermentation and starter cultures represents a key strategy to improve quality, standardize profiles, and meet market demands.
Coffee Rust Severity Analysis in Agroforestry Systems Using Deep Learning in Peruvian Tropical Ecosystems
(Agriculture, 2024-12-27) Ocaña Zúñiga,Candy Lisbeth
Agroforestry systems can influence the occurrence and abundance of pests and diseases because integrating crops with trees or other vegetation can create diverse microclimates that may either enhance or inhibit their development. This study analyzes the severity of coffee rust in two agroforestry systems in the provinces of Jaén and San Ignacio in the department of Cajamarca (Peru). This research used a quantitative descriptive approach, and 319 photographs were collected with a professional camera during field trips. The photographs were segmented, classified and analyzed using the deep learning MobileNet and VGG16 transfer learning models with two methods for measuring rust severity from SENASA Peru and SENASICA Mexico. The results reported that grade 1 is the most prevalent rust severity according to the SENASA methodology (1 to 5% of the leaf affected) and SENASICA Mexico (0 to 2% of the leaf affected). Moreover, the proposed MobileNet model presented the best classification accuracy rate of 94% over 50 epochs. This research demonstrates the capacity of machine learning algorithms in disease diagnosis, which could be an alternative to help experts quantify the severity of coffee rust in coffee trees and broadens the field of research for future low-cost computational tools for disease recognition and classification
Comparison of Collinearity Indices for Linear Models in Agricultural Trials
(Journal of Biological Sciences, 2023-12-28) Garrido Campaña,Zadith Nancy
The deleterious consequences of collinearity in linear regression on the precision of estimators of regression coefficients and the interpretability of the fitted model are widely recognized. In this study, we compare several methodologies for assessing collinearity in linear models and explore the effect of outliers on collinearity. The robustness of collinearity measures (individual and overall) is validated through two detailed Monte Carlo simulation study which also considers the effect of outliers on collinearity indices. The methods are illustrated with two real-world agricultural and fish morphology l data sets to show potential applications. The results do not provide any evidence for an effect from outliers on collinearity identification using the collinearity indices (individual and overall). The FG and Fj collinearity indices more robust as both sample size and collinearity degree increase. The VIF (individual measure) had a better performance on the fitted model with a greater number of parameters.
Comparison of non-destructive methods for estimating the leaf area of Cinchona officinalis L. using digital image processing
(Revista Cubana de Ciencias Forestales, 2025-09-11) Huaccha Castillo,Annick Estefany
Cinchona officinalis it is an important plant species and was the only treatment for malaria for over three centuries. The aim of this study was to compare the accuracy of four non-destructive digital image processing methods (LeafArea and three ImageJ algorithms)for estimating the leaf area of young C. officinalis plantations under two establishment conditions: forest stands and enrichment strips. Leaves were photographed at a distance of 8 cm using a 24 MP smartphone and processed with the evaluated methods. Statistical analysis included box and whisker plots, Pearson correlation, and Friedman test. The results showed that ImageJ methods M3 and M4 had the highest accuracy (r = 0.99), with no significant differences between them, and overestimations detected in M1 and M2. It is concluded that M3 and M4 are fast, low-cost, and highly accurate options for foliar monitoring of C. officinalis in the field.
Consumo de hierbas medicinales para aliviar síntomas de afecciones respiratorias y COVID-19
(Vive en Salud, 2022-10-27) Caira Mamani,Cirilo Mario
Con el brote de COVID-19, se incrementó el consumo de plantas medicinales a raíz de su fácil, económica disponibilidad y conocimientos empíricos de sus propiedades medicinales y efectos terapéuticos para algunas enfermedades. Esta realidad de consumo de hierbas medicinales para aliviar síntomas de afecciones respiratorias y COVID-19, motivó la presente investigación. Objetivo. Determinar el grado de asociación entre el consumo de hierbas medicinales y su efecto en alivio de síntomas del virus. Materiales y método. La metodología se basa en estudio descriptivo, enfoque cuantitativo, prospectivo. Se recolectó los datos desde febrero hasta mayo del 2021 con una muestra de 400 personas que comprendió ambos sexos. Se encuestó sobre ¿Qué hierbas medicinales consumieron en forma de infusión? y ¿Con qué frecuencia consumen para aliviar los síntomas relacionados a afecciones respiratorias y COVID-19? Resultados. Los resultados determinaron que las hierbas medicinales de mayor consumo fueron Matico (Buddleja globosa), Eucalipto (Eucalyptus globulus), Escorzonera (Perezia multiflora) y Huamanripa (Senecio tephrosioides); con una frecuencia de 2 a 3 veces por día y 4 o 5 días por semana; marzo se obtuvo 3% consumo de Huamanripa y mayo 6% de hierbas combinada para afecciones respiratorias y COVID-19 respectivamente, febrero con 29% para afecciones respiratorias y mayo con 73% para dolencias del COVID-19. Sintieron alivio al ingerir infusiones de hierbas medicinales en mayo con 79% y coeficiente de determinación de 0.9984 que indica una alta asociación. Conclusiones. Al analizar los datos entre consumo de hierbas medicinales y alivio de síntomas de COVID-19, se obtuvo una alta correlación; por lo tanto, indica que alivia los síntomas.

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