Scientia Agropecuaria

Evaluation of soil fertility index in organic, semi-organic, and conventional rice field management systems

Abstract Rice farming in Madiun Regency implements three different management systems, that is organic, semi-organic, and conventional. The different implementation of these rice field management systems impacts soil fertility index and rice productivity. This purpose of this research was to know the effect of rice field management systems on soil fertility index and rice productivity in the Madiun Regency. The research uses an explorative descriptive qualitative method with a survey approach. Soil samples were taken using a random sampling method and 3 types of soil management systems (conventional, semi-organic and organic), and rice production samples were taken using an estimation method. The research results show that the soil fertility index ranges from 0.78 to 0.82, which is high. The highest soil fertility index is in the semi-organic management system and the lowest is in the organic management. The management system of semi-organic gave a response to the highest rice production of 6.89 tons/ha. Management system of semi-organic is a better management for increasing and maintaining soil fertility and crop production than conventional or organic. Farming activities results show that organic management systems increase the highest income, increasing 115.58% and 53.30% in semi-organic compared to conventional. The rice field management system has the effect of increasing the worm population density with the highest in the organic system, namely 4.19 individuals m-2. The Pontoscolex worm type dominates the three management systems. There is a correlation between organic matter content and earthworms.

Identification of the phytosanitary status of trees using machine learning and very high spatial resolution images

Resumen Las enfermedades de los árboles contribuyen a importantes pérdidas económicas y de alimentos en el sector agrícola. La detección temprana de problemas fitosanitarios en árboles con métodos no destructivos resulta fundamental para garantizar la producción sostenible de naranja. Este trabajo presenta los resultados de una metodología diseñada para la identificación de árboles de naranja enfermos en una huerta ubicada en el cinturón citrícola de México, particularmente en la región de Rioverde, San Luis Potosí. Para ello, se tomaron imágenes con una cámara multiespectral de muy alta resolución espacial instalada en un vehículo aéreo no tripulado con las que se construyó un ortomosaico georreferenciado. Se emplearon seis clases temáticas para identificar los diferentes niveles de sanidad. Se utilizaron diferentes algoritmos de clasificación supervisada a nivel píxel que incluyen Random Forest (RF), K-Nearest Neighbor (KNN), Spectral Angle Mapper (SAM), Support Vector Machine (SVM), y Maximum Likelihood (ML). Considerando la exactitud de clasificación obtenida por cada uno de los algoritmos, se pueden ordenar de la siguiente manera: Maximum Likelihood (ML) con un 88,10%, Support Vector Machine (SVM) con un 77,38%, Spectral Angle Mapper (SAM) con un 76,19%, K-Nearest Neighbor (KNN) con un 64,68% y Random Forest (RF) con un 61,90%. Los resultados permitieron identificar el estado fitosanitario de todos los árboles de la huerta, con una exactitud aceptable y representan información valiosa de manejo para el productor.

Abstract Tree diseases contribute to significant economic and food losses in the agricultural sector. Early detection of phytosanitary problems in trees with non-destructive methods is essential to guarantee sustainable orange production. This study presents the findings of a designed methodology conducted to identify diseased orange trees in an orchard situated in the citrus belt of Mexico, specifically in the Rioverde region of San Luis Potosi. To accomplish this, we captured images using a multispectral camera with very high spatial resolution, which was mounted on an unmanned aerial vehicle. These images were used to construct a georeferenced orthomosaic of the orchard. Six thematic classes were established to distinguish various health levels among the trees. We employed several supervised classification algorithms at the pixel level, including Random Forest (RF), K-Nearest Neighbor (KNN), Spectral Angle Mapper (SAM), Support Vector Machine (SVM), and Maximum Likelihood (ML). Considering the classification accuracy achieved by each algorithm, they can be ranked as follows: Maximum Likelihood (ML) with 88.10%, Support Vector Machine (SVM) with 77.38%, Spectral Angle Mapper (SAM) with 76.19%, K-Nearest Neighbor (KNN) with 64.68%, and Random Forest (RF) with 61.90%. These results successfully identified the phytosanitary status of all the trees in the orchard with an acceptable level of accuracy, providing valuable management information for the grower.

Effective method for simultaneous determination of abscisic acid, 3-indolacetic acid and gibberellic acid in commercial plant biostimulants by capillary electrophoresis with diode array detection

Abstract Phytohormones, also known as plant hormones, are naturally occurring chemical compounds that regulate various physiological processes in plants. In this work, a capillary electrophoretic coupled to a diode array detector (CE-DAD) method was developed and validated for the simultaneous quantification of abscisic acid (ABA), 3-indolacetic acid (IAA), and gibberellic acid (GA3) in commercial plant biostimulants. Sample preparation was carried out by liquid-liquid extraction using ethyl acetate. CE separation was performed in a fused-silica capillary and background electrolyte (BGE) consisting of borate buffer (50 mM, pH 9.3) applying a high voltage of 20 kV, a pressure of 50 mbar, and injection time of 35 s. The ABA, IAA, and GA3 were detected at 254, 220 and 195 nm respectively. The CE-DAD method validation results showed acceptable specificity, linearity, accuracy, and precision in the concentration range of 10-100 µg/mL for all compounds according to the (International Conference Harmonisation) ICH guidelines. The proposed method was satisfactory applied to the analysis of cited plant hormones in biostimulants and suggest that sample preparation is a reliable step for extraction of phytohormones containing carboxyl groups. Therefore, the developed and validated method could be implemented as a low-cost and fast analytical tool for quality control purposes.

Xylanase production by Penicillium sp. Pn004 and its application for grass hydrolysis: high value subproduct from non-centrifugal sugarcane bagasse and wheat bran

Abstract Worldwide more than 7 billion tons of lignocellulosic biomass will be produced by 2025. In Colombia, these residues are mainly disposed of in rivers and open fields, and only 10% is reused and recycled. Non-centrifugal sugarcane bagasse (SCB) is a residue obtained after sugarcane juice extraction during the manufacturing process of panela and is mostly used as fuel for boilers at sugar mills. Wheat bran (WB) is the main waste from wheat flour production. Nonetheless, the chemical composition of these by-products makes them suitable for use as substrates for hemicellulolytic enzyme production from fungi. Here, a whole process for production in a solid-state fermentation system, recovery, and ultrafiltration process for concentration of xylanases by Penicillium sp. Pn004 is presented. The higher productivity (26.7 ± 1.59 U gds-1 day-1) was reached on the fifth day of fermentation with an enzyme activity of 130.0 ± 7.95 U gds-1. The batch ultrafiltration process allowed increasing the xylanase activity up to 19-fold in the retentate, from 66.47 U mL-1 to 1486.83 U mL-1, without reaching a steady state flux through the membrane. Finally, the enzymatic extract achieved a 43% release of sugar from kikuyu grass (Cenchrus clandestinus), showing its potential to be used as an additive for silage or for enzymatic saccharification of lignocellulosic materials for sugar production.

Biotechnological tools for genetic improvement of Trichoderma

Abstract Trichoderma is a cosmopolitan fungus widely distributed around the world. The different uses of this beneficial fungus are varied in several industries, like agriculture, textile, and paper, including the pharmaceutical industry. The genus Trichoderma has other mechanisms of action, including the production of different enzymes and secreted secondary metabolites used in various industries. The genomes of different Trichoderma species have been sequenced to identify the mechanisms for producing several compounds. The advancement of multiple technologies has allowed the development of transformation tools for the genetic improvement of Trichoderma, thus increasing biomass, primary and secondary metabolites, and enzymes. Therefore, genetic modification aims to increase compound production in several Trichoderma strains. Characterization of Trichoderma through gene expression analysis is essential for biotechnology applications. It helps counteract one of the most challenging problems for agriculture today, including climate change and the appearance of pathogens that attack crops with high commercial and food demand. In conclusion, this review analyzes various strategies to improve Trichoderma strains genetically and their multiple applications in the agricultural, textile, paper, and pharmaceutical industries. As a recommendation for future studies with potential impact, the optimization of specific genetic modifications in Trichoderma strains is recommended to improve their adaptability and effectiveness in combating emerging challenges in agriculture, especially those linked to climate change. Investigating possible synergies between genetically modified Trichoderma strains and environmentally sustainable agricultural practices could contribute to developing solutions for crop protection and yield improvement.

Osmotic adjustment and yield of two varieties of avocado (Persea americana), Hass and Fuerte, with drip irrigation system, in Andean area of Peru

Resumen El cultivo de palta (Persea americana) no solo es esencial desde el punto de vista económico, sino que también desempeña un papel crucial en la alimentación, la salud y el bienestar de las poblaciones en todo el mundo. El estudio se realizó en Ayacucho-Perú (latitud: 12° 53’ 57’’ S, longitud: 74° 16’ 55’’ O y altitud: 2596 msnm), con el objetivo de evaluar el efecto de la utilización del sistema de riego tecnificado por goteo en la producción y rendimiento de dos variedades de palta, Hass y Fuerte. El estudio estuvo basado en el uso de un sistema de riego con programación por tratamiento con plantas de palta instaladas en parcelas de 500 m² en 6 sectores, con una densidad de 5 x 5 m, cuya edad estuvo entre 5 a 16 años, de las cuales se consideró 12 plantas (6 plantas con riego por goteo y 6 plantas como testigo con riego por gravedad). Los riegos se efectuaron justo en la etapa de floración y producción garantizando el suministro de agua adecuado en periodos de déficit hídrico, entre febrero a junio de 2022. El diseño experimental fue de bloques completos al azar, con seis bloques de 20 plantas cada uno. La cosecha realizada reporto rendimientos 67,96 ± 8,8 t/ha bajo riego tecnificado y de 26,42 ± 4,93 t/ha en riego por gravedad, siendo un incremento del 157% con respecto a este último. En cuanto a las variedades, la palta Fuerte tuvo el mayor rendimiento 49,38 ± 23,06 t/ha con respecto a la variedad Hass (45,0 ± 21,14 t/ha), el rendimiento máximo se dio con riego por goteo para a variedad Fuerte (71,09 ± 8,38 t/ha), esto es explicado por el gasto de energía en el potencial de ajuste osmótico la cual disminuye drásticamente el potencial de rendimiento con riego tradicional por gravedad, obteniendo un rendimiento mínimo en Hass de 25,18 ± 4,44 t/ha.

Abstract The cultivation of avocado (Persea Americana) is not only essential from an economic point of view, but also plays a crucial role in the nutrition, health and well-being of populations around the world. The study was carried out in Ayacucho -Peru (latitude: 12° 53' 57'' S, longitude: 74° 16' 55'' W and altitude: 2596 masl), with the objective of evaluating the effect of the use of the technical drip irrigation system on the production and yield of two varieties of avocado, Hass and Fuerte. The study was based on the use of an irrigation system with programming by treatment with avocado plants installed in plots of 500 m² in 6 sectors, with a density of 5 x 5 m, whose age was between 5 to 16 years, of the which were considered 12 plants (6 plants with drip irrigation and 6 plants as a control with gravity irrigation). Irrigation was carried out right at the flowering and production stage, guaranteeing adequate water supply in periods of water deficit, between February and June 2022. The experimental design was a complete randomized block, with six blocks of 20 plants each. The harvest carried out reported yields of 67.96 ± 8.8 t/ha under technical irrigation and 26.42 ± 4.93 t/ha under gravity irrigation, an increase of 157% with respect to the latter. As for the varieties, the Fuerte avocado had the highest yield 49.38 ± 23.06 t/ha compared to the Hass variety (45.0 ± 21.14 t/ha), the maximum yield occurred with drip irrigation for the Fuerte variety (71.09 ± 8.38 t/ha), this is explained by the energy expenditure in the osmotic adjustment potential which drastically decreases the yield potential with traditional gravity irrigation, obtaining a minimum yield in Hass of 25.18 ± 4.44 t/ha.

Contaminação fúngica da cannabis medicinal: Avaliação bibliométrica, tendências e perspectivas futuras

Resumo A contaminação fúngica é um problema importante na produção da cannabis e cannabis medicinal, pois os fungos podem produzir compostos tóxicos ou reduzir a qualidade e a segurança do produto. O objetivo deste estudo foi realizar uma avaliação bibliométrica relacionada à contaminação fúngica na cannabis, analisando as tendências atuais nesse campo e fornecendo perspectivas futuras para a pesquisa. Para isso, foi realizada uma busca exaustiva na literatura científica em bases de dados eletrônicas como Scopus e Web of Science (WOS), abrangendo o período de 2000 a 2023. Os resultados obtidos foram processados por meio de bibliometria e análise de redes, utilizando ferramentas como o software RStudio e Bibliometrix. Os resultados revelaram que os principais temas associados à contaminação fúngica na cannabis estão focados em: doenças relacionadas à contaminação fúngica da planta, uso de fungos como alternativa de controle biológico no cultivo da cannabis, metabólitos associados à cannabis e seu potencial no controle de fungos, bem como a diversidade fúngica no cultivo e pós-colheita da cannabis e o risco à saúde dos consumidores. Por último, são sugeridas futuras áreas de pesquisa para enfrentar o desafio da contaminação fúngica na produção de cannabis medicinal, abordando temas como controle de pragas, contaminação, resistência genética, compostos ativos, métodos de análise e impacto dos fungos na cannabis.

Abstract Fungal contamination is an important problem in cannabis and medical cannabis production, as fungi can produce toxic compounds or reduce the quality and safety of the product. The aim of this study was to perform a bibliometric evaluation related to fungal contamination in cannabis, analyzing current trends in this field and providing future perspectives for research. For this purpose, an exhaustive search was carried out in the scientific literature in electronic databases such as Scopus and Web of Science (WOS), covering the period from 2000 to 2023. The results obtained were processed through bibliometrics and network analysis, using tools such as RStudio and Bibliometrix software. The results revealed that the main themes associated with fungal contamination in cannabis are focused on: diseases related to fungal contamination of the plant, use of fungi as an alternative biological control in cannabis cultivation, metabolites associated with cannabis and their potential in fungal control, as well as fungal diversity in cannabis cultivation and postharvest and the risk to consumer health. Finally, future research areas are proposed to address the challenge of fungal contamination in medicinal cannabis production, covering topics such as pest control, contamination, genetic resistance, active compounds, analysis methods, and the impact of fungi on cannabis.

Sensory and consumer science as a valuable tool to the development of quinoa-based food products: More than three decades of scientific evidence

Abstract Solutions are needed to address both hunger and the promotion of healthy and sustainable diets. Quinoa, a nutritious and sustainable Andean grain, is a versatile option for creating new foods. Over the years, several technological advancements have been made to include quinoa in various food products. However, there is still a need for solid scientific evidence on the impact of quinoa on the product's acceptance. To address this scientific knowledge gap, this work aims to analyze the scientific literature over the last three decades regarding the sensory and hedonic impact of adding quinoa to food products. To do so, bibliometric methods based on the Scopus and Annual Scientific Production databases were used. After selecting and screening using the PRISMA method, seventy-four articles from 1991 to 2024 were analyzed, identifying relationships between keywords in the analyzed studies, forming a co-occurrence and co-authorship network. Results showed that quinoa has great nutritional potential when added to different food products, but its instrumental and sensory properties are modified. The nine-point hedonic scale was used to measure product acceptability in 47% of the articles. Studies on bakery products have shown that increasing the concentration of quinoa in the product formulation decreases the acceptance of the final product in 67% of cases. It is recommended to include consumer demands from a sensory and hedonic perspective when developing new products. The scientific and industrial community is encouraged to develop new food products catering to a broader consumer range.

Kinetic and thermodynamic compensation of non-enzymatic browning of clarified lemon juices

Resumen En este artículo se presenta un estudio sobre la compensación cinética y termodinámica para evaluar las cinéticas de pardeamiento no enzimático de zumos clarificados de limón. En un trabajo anterior se presentaron las constantes cinéticas de pardeamiento utilizando la evolución de la absorbancia a 420 nm (A 420) y luminosidad (L*) para distintos contenidos en sólidos solubles (64,6; 50; 35; 20 y 10 ºBrix) y diferentes temperaturas de trabajo (70, 80, 90 y 95 ºC). Los parámetros de la ecuación de Arrhenius se obtuvieron al ajustar la variación de las constantes cinéticas con la temperatura. La variación de lnK 0 con E a sigue una tendencia lineal, por lo que existe una compensación cinética, con valores de la temperatura isocinética de 126,6ºC y 149,7ºC para A 420 y L*, respectivamente. Las constantes de equilibrio del estado de transición se determinaron utilizando la ecuación de Eyring para cada contenido en sólidos solubles y cada temperatura. Las constantes de equilibrio se ajustaron a la ecuación de Van't Hoff y el conjunto de los pares de valores estimados para la entalpía de activación y la entropía de activación siguieron una línea recta lo que da lugar a la compensación termodinámica, con unas temperaturas de isoequilibrio de 112,8 ºC y 136,3 ºC para la absorbancia a A 420 y L*, respectivamente. Se concluyó que el mecanismo de pardeamiento es el mismo para los intervalos de contenido en sólidos solubles y temperatura estudiados. Dado que todas las temperaturas isocinéticas y de isoequilibrio fueron superiores a los valores de las temperaturas de trabajo, también se concluyó que el control fue entálpico para todos los casos. Para evitar el deterioro de estos zumos se aconseja intervenir en la temperatura de trabajo, intentando que el tratamiento térmico se lleve a cabo a la menor temperatura posible.

Abstract This paper presents a study on kinetic and thermodynamic compensation to evaluate the kinetics of non-enzymatic browning of clarified lemon juices. In a previous work, the kinetic constants of browning were presented using the evolution of the absorbance at 420 nm (A 420) and luminosity (L*) for different soluble solids contents (64.6; 50; 35; 20 and 10 ºBrix) and different working temperatures (70, 80, 90 and 95 ºC). The parameters of the Arrhenius equation were obtained by fitting the kinetic constants and temperatures. The variation of lnK 0 with Ea follows a linear trend, so there is kinetic compensation, with isokinetic temperature values being 126.6 ºC and 149.7 ºC for A 420 and L*, respectively. The transition state equilibrium constants were determined using the Eyring equation for each soluble solids content and each temperature. The equilibrium constants were adjusted to the Van't Hoff equation and the set of pairs of estimated values for the activation enthalpy and the activation entropy also followed a straight line, which causes thermodynamic compensation, with isoequilibrium temperatures of 112.8 ºC and 136.3 ºC for A 420 and L*, respectively. It was concluded that the browning mechanism is the same for the ranges of soluble solids content and temperature studied. Since all isokinetic and isoequilibrium temperatures were higher than the working temperature values, it was also concluded that the control was enthalpic for all cases. To avoid the deterioration of these juices, it is advisable to intervene in the working temperature, trying to ensure that the heat treatment is carried out at the lowest possible temperature.

Cercospora leaf spot management with nitrogenous fertilizers in cotton is dependent on the disease amount in the plant canopies

Abstract The aim of this study was to examine the impact of both organic and inorganic nitrogen fertilizers on the intensity and epidemiological components of Cercospora leaf spot across three different canopies of cotton plants, specifically the variety DP ACALA 90, under field conditions. Fertilizers used in the study included bovine manure, Jatropha curcas seedcake, poultry manure, and urea (the latter serving as a control). These were applied at 20 days after plant emergence and then during the flowering stage until the total nitrogen (N) dose reached 50, 100, 150, or 200 kg N per hectare. The incidence and severity of the disease were assessed starting at the reproductive stage B1 (the first visible flower bud) across the lower, middle, and upper canopies of four cotton plants, with six evaluations conducted over time. To calculate the initial inoculum (Y 0 ) and the disease progress rate (r), the Exponential, Gompertz, and Logistic models were employed based on temporal data. The study was designed as a randomized complete block with a 4x4 factorial arrangement (fertilizer type x dose), and mean comparisons were made using Tukey's test (p ≤ 0.05). It was found that disease intensity within each canopy level varied in response to the type of nitrogen source and the applied dose, with the severity of the disease (including the area under the disease progress curve) being particularly influenced. A significant interaction between the type of fertilizer and the dose regarding the intensity of Cercospora leaf spot was observed. The Exponential model most accurately depicted the disease's temporal progression. Notably, poultry manure and urea were the fertilizers that most adversely influenced the intensity and initial inoculum (Y 0 ) of Cercospora leaf spot across the various canopies of the cotton plants. The findings suggest that the use of organic fertilizers in cotton cultivation could represent a viable sustainable management strategy.

Characterization of Meloidogyne spp. and population density of phytoparasitic nematodes associated with alliaceae crops in the Arequipa region, Peru

Resumen Cultivo de aliáceas comprenden diversas especies de importancia agrícola para la región Arequipa, entre ellas la cebolla es la de mayor producción en el país, sin embargo, estos cultivos son afectados por nematodos fitoparásitos entre ellas Meloidogyne spp. que ocasiona pérdidas significativas en la producción. El objetivo del presente estudio fue caracterizar al nematodo de las agallas (Meloidogyne spp) y determinar la densidad poblacional de nematodos fitoparásitos en cultivos de aliáceas en las principales localidades productoras de la región Arequipa, se colectaron muestras de raíces y suelo de cultivos de cebolla, cebolla china, poro y cebollín en las provincias de Arequipa, Castilla, Caylloma e Islay. La identificación de los géneros de nematodos se hizo mediante características morfológicas y la caracterización de Meloidogyne se hizo mediante patrones perineales y por padrón electroforético de esterasa (Est). En las 38 muestras de suelo se encontraron doce géneros de nematodos fitoparásitos: Aphelenchus, Dorylaimus, Helicotylenchus, Hemicycliophora, Meloidogyne, Mesocriconema, Mononchus, OGMA, Pratylenchus, Rotylenchus, Tylenchus, Xiphinema y nematodos de vida libre, en muestras de raíces, se encontraron ocho poblaciones de Meloidogyne spp. distribuidas en tres especies: (1) M. incognita fenotipo Est I1, Rm: 1.0 con 33,33% de frecuencia y Est I2, Rm: 1.03, 1.07 (50%); (2) M. javanica Est J3, Rm: 1.03, 1.24, 1.37 (16,67%) y una especie atípica denominada Meloidogyne sp. Rm: 0.85 (33,33%). La identificación de géneros y especies de nematodos fitoparásitos en aliáceas, permitirá adoptar medidas de manejo integrado más eficientes, debido a que poseen un comportamiento de parasitismo distinto.

Abstract Alliaceae crops includes several species of agricultural importance for the Arequipa region, among them the onion is the most produced in the country, however, these crops are affected by phytoparasitic nematodes, including Meloidogyne spp. which causes significant losses in the yield. The aim of the present study was to characterise the root-knot nematode (Meloidogyne spp) and determine the population density of phytoparasitic nematodes in alliaceae crops in the main producing localities of the Arequipa region. Samples of roots and soil were collected in onion, chinese onion, leek and chives crops in the provinces of Arequipa, Castilla, Caylloma and Islay. The identification of nematode genus was found by morphological characteristics and the characterization of Meloidogyne were performed by perineal patterns and electrophoretic pattern of esterase (Est). In the 38 soil samples, different genus of plant-parasitic nematodes was found: Aphelenchus, Dorylaimus, Helicotylenchus, Hemicycliophora, Meloidogyne, Mesocriconema, Mononchus, OGMA, Pratylenchus, Rotylenchus, Tylenchus, Xiphinema and free-living nematodes, in root samples, eight populations of Meloidogyne spp. were found. distributed among three species: (1) M. incognita phenotype Est I1, Rm: 1.0 with 33.33% of frequency and Est I2, Rm: 1.03, 1.07 (50%); (2) M. javanica Est J3, Rm: 1.03, 1.24, 1.37 (16.67%) and an atypical species named Meloidogyne sp. Rm: 0.85 (33.33%). The identification of genus and species phytoparasitic nematodes in alliaceae will allow the adoption of more efficient integrated management measures, because have a distinct parasitism behavior.

Impact of leachate on soil microbial diversity and its treatment

Abstract This study analyzed the impact of leachate from a temporary landfill on soil microbial diversity in Tingo María, Huánuco region, Peru. Three treatments were used: untreated soil (S), addition of stream water (T0), leachate (T1), and leachate treated by coagulation and flocculation (T2), with 828.5 ml/week added in three weekly doses. Soil samples were collected from the Reserved Forest of the Universidad Nacional Agraria de la Selva. Twenty-one randomly distributed soil samples were taken and homogenized for analysis. Soil quality parameters measured included sand, clay, silt, texture, pH, organic matter, nitrogen, phosphorus and potassium. As for microorganisms, viable aerobes, lactobacilli, actinomycetes, fungi, nitrogen-fixing bacteria, and Escherichia coli were quantified using specific culture and counting methods for each of them. To evaluate the impact of the leachate on microbial diversity, equity indices (Shannon and inverse Simpson), dominance indices (complementary Simpson and Berger Parker) and the percentage composition of each microorganism per treatment were used. An ANOVA was performed to estimate differences in microbial diversity, with a Tukey test at a significance level of α = 0.05. The study showed that leachates affect soil microbial diversity, reducing equity and increasing the dominance of certain species such as E. coli. They also alter physicochemical parameters, decreasing organic matter and nitrogen but increasing other elements such as phosphorus and potassium. This could have implications for soil health and functionality.

Chemical modification of starch from fruit seeds: Methods, properties, and applications

Abstract The fruit seeds, commonly regarded as waste after consuming the fresh pulp, emerge as a source of unconventional starch with innovative potential. This study focuses on highlighting the significance of these seeds by exploring chemical modification methods in this starch source that add value by transforming their properties. The review emphasizes the influence of key factors such as the type of chemical reagent, its concentration, reaction parameters (pH, temperature, time), and the botanical source of the seed on the degree of modification and the resulting morphological and functional properties of the starch. The importance of specific conditioning during the chemical modification process is underscored, as it significantly contributes to enhancing the properties of the modified starch derived from fruit seed. In this regard, new perspectives are opened to efficiently harness fruit seeds, turning them into a valuable source of starch with diverse applications in both the food and non-food industries.