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Using Observed Residual Error Structure Yields the Best Estimates of Individual Growth Parameters

Marcelo Vidal Curiel Bernal EUGENIO ALBERTO ARAGON NORIEGA MIGUEL ANGEL CISNEROS MATA LAURA SANCHEZ VELASCO SYLVIA PATRICIA ADELHEID JIMENEZ ROSENBERG ALEJANDRO FRANCISCO PARES SIERRA (2021, [Artículo])

"Obtaining the best possible estimates of individual growth parameters is essential in studies of physiology, fisheries management, and conservation of natural resources since growth is a key component of population dynamics. In the present work, we use data of an endangered fish species to demonstrate the importance of selecting the right data error structure when fitting growth models in multimodel inference. The totoaba (Totoaba macdonaldi) is a fish species endemic to the Gulf of California increasingly studied in recent times due to a perceived threat of extinction. Previous works estimated individual growth using the von Bertalanffy model assuming a constant variance of length-at-age. Here, we reanalyze the same data under five different variance assumptions to fit the von Bertalanffy and Gompertz models. We found consistent significant differences between the constant and nonconstant error structure scenarios and provide an example of the consequences using the growth performance index _0 to show how using the wrong error structure can produce growth parameter values that can lead to biased conclusions. Based on these results, for totoaba and other related species, we recommend using the observed error structure to obtain the individual growth parameters."

multimodel inference, error structure, totoaba, growth performance BIOLOGÍA Y QUÍMICA CIENCIAS DE LA VIDA BIOLOGÍA ANIMAL (ZOOLOGÍA) FISIOLOGÍA ANIMAL FISIOLOGÍA ANIMAL

Optimization of the alkali-silane treatment of agave lechuguilla fibers (ixtle) for potential reinforcement in polymeric composites

NOEMI JARDON MAXIMINO MARIAMNE DEHONOR GOMEZ Rolando Villa Moreno MARIA DOLORES BAEZA ALVARADO Luis Edmundo Lugo Uribe (2023, [Artículo])

Reinforced polymeric composites with natural fibers have garnered significant interest in recent years due to the need for biomass utilization and the requirements of various industries, such as automotive and construction. Among these natural fibers, Agave lechuguilla fiber, commonly known as ixtle (FIx) or Tampico fiber, exhibits important characteristics such as length, high strength, and durability. However, there is limited literature on its conditioning, functionalization, and utilization as a reinforcing material in polymeric composites (CP). This study presents the optimization of the alkali-silane treatment of FIx, identifying the most suitable reaction conditions to enhance their thermal stability, tensile strength, and silane coupling agent (ACSi) grafting on the fiber surface. The chemical treatment with ACSi proved highly effective, resulting in a significant grafting content, which was confirmed through FTIR and SEM–EDS analyses. The high level of functionalization did not compromise the mechanical performance of the fibers, suggesting that functionalized FIx holds great potential as a reinforcing material in CP. These findings open new paths for the sustainable use of Agave lechuguilla fibers, contributing to the development of environmentally friendly and high-performance polymeric composites in various industrial applications.

This article belongs to the Special Issue Natural Fibers for Advanced Materials: Addressing Challenges).

Supplementary materials: The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/fib11100086/s1, Figure S1: Optical microscope image of ixtle fibers at a magnification of 50 (a) untreated and (b) alkaline treated (FIx-5); Table S1: FTIR signal assignment for alkaline treated FIx; Table S2: FTIR Signal assignment for silane treated FIx.

Author contributions: Conceptualization, N.J.-M. and L.E.L.U.; methodology, N.J.-M., M.D.G., R.V.M., M.D.B.-A. and L.E.L.U.; validation, N.J.-M. and L.E.L.U.; formal analysis, N.J.-M., M.D.G. and L.E.L.U.; investigation, N.J.-M. and L.E.L.U.; data curation, N.J.-M., M.D.G., R.V.M. and M.D.B.-A.; writing—original draft preparation, N.J.-M. and L.E.L.U.; writing—review and editing, N.J.-M., M.D.G., R.V.M., M.D.B.-A. and L.E.L.U.; visualization, N.J.-M., M.D.G. and L.E.L.U.; supervision, L.E.L.U.; project administration, N.J.-M. and L.E.L.U.; funding acquisition, N.J.-M. and L.E.L.U. All authors have read and agreed to the published version of the manuscript.

Funding: This research was funded by CONAHCYT, “Estancias postdoctorales por México”, grant umber CVU425480.

Data availability statement: Data supporting the findings of this study are available within the article and upon request from the corresponding author.

Acknowledgments: The authors express their gratitude towards Rene Diaz Rebollar and Jazmin Gomez Sara for their technical assistance in conducting the chemical reactions presented in this current study. Additionally, the assistance provided by Luis Alberto Caceres Diaz in the execution of XRD analyses is also acknowledged. Furthermore, N.J.M. extends sincere recognition to CIATEQ A.C. for their provision of essential resources and infrastructure crucial to the advancement of this research. The support rendered by CONAHCYT through the “Estancias postdoctorales por México” program is also gratefully acknowledged, as it has contributed financial backing to the project. Conflicts of Interest: The authors declare no conflict of interest.

Agave lechuguilla Natural fiber Silane coupling agent INGENIERÍA Y TECNOLOGÍA CIENCIAS TECNOLÓGICAS OTRAS ESPECIALIDADES TECNOLÓGICAS OTRAS OTRAS

Modelación sistémica del uso eficiente del agua

FELIPE IGNACIO ARREGUIN CORTES VICTOR HUGO ALCOCER YAMANAKA (2004, [Artículo])

Se presenta un modelo matemático de optimización para determinar la cantidad mínima de agua de primer uso que debería abastecerse a un sistema hidráulico (urbano, agrícola, industrial o de cuenca), considerando las demandas específicas de cada usuario, la calidad de las aguas residuales con y sin tratamiento, las fugas, el reúso y cualquier número de contaminantes del agua. Se utilizó como plataforma de optimización el programa General Algebraic Modeling System. El modelo desarrollado se aplicó a la ciudad de Cuernavaca y se generaron varios escenarios, a fin de satisfacer las necesidades de todos los usuarios en cantidad y calidad para diferentes condiciones de funcionamiento de las plantas de tratamiento de aguas residuales existentes, la construcción de las obras necesarias para tratar todas las aguas residuales y utilizar el agua en forma óptima dentro del sistema; trabajándose también en el control de fugas.

Uso eficiente del agua Técnicas de optimización Modelos sistémicos INGENIERÍA Y TECNOLOGÍA

Neyman-Scott-based water distribution network modelling

Modelación de redes de agua potable basado en el proceso de Neyman-Scott

VICTOR HUGO ALCOCER YAMANAKA Velitchko Tzatchkov (2012, [Artículo])

Uno de los parámetros más difíciles de estimar al modelar las redes de distribución de agua potable es el del consumo doméstico. Se ha demostrado que este sigue un proceso estocástico posible de caracterizar a través de pulsos rectangulares, con ciertas intensidad, duración y frecuencia de arribo, por medio de esquemas estocásticos como el modelo de pulsos rectangulares de Neyman-Scott (NSRPM). El esquema NSRPM se basa en la solución de un problema de optimización no lineal que involucra momentos teóricos de las series sintéticas (equiprobables) y los momentos observados (mediciones de campo). Se ha publicado la metodología, así como trabajos orientados a la generación de la demanda en los domicilios, sin embargo, no su validación en una red de distribución real, con la conjunción y agregación de las demandas de los domicilios, y su comparación con los métodos tradicionales. En el presente artículo se comparan resultados obtenidos empleando series sintéticas con carácter estocástico, producto del esquema NSRPM aplicado a la determinación de presiones y caudales, con los obtenidos por el método tradicional que utiliza curva de variación horaria de la demanda, y con mediciones de presión y caudal hechas en el sector Humaya, en Culiacán, Sinaloa, México.

Distribución de agua Demanda de agua Consumo doméstico de agua Modelación INGENIERÍA Y TECNOLOGÍA

Expanding the WOFOST crop model to explore options for sustainable nitrogen management: A study for winter wheat in the Netherlands

João Vasco Silva Pytrik Reidsma (2024, [Artículo])

Nitrogen (N) management is essential to ensure crop growth and to balance production, economic, and environmental objectives from farm to regional levels. This study aimed to extend the WOFOST crop model with N limited production and use the model to explore options for sustainable N management for winter wheat in the Netherlands. The extensions consisted of the simulation of crop and soil N processes, stress responses to N deficiencies, and the maximum gross CO2 assimilation rate being computed from the leaf N concentration. A new soil N module, abbreviated as SNOMIN (Soil Nitrogen for Organic and Mineral Nitrogen module) was developed. The model was calibrated and evaluated against field data. The model reproduced the measured grain dry matter in all treatments in both the calibration and evaluation data sets with a RMSE of 1.2 Mg ha−1 and the measured aboveground N uptake with a RMSE of 39 kg N ha−1. Subsequently, the model was applied in a scenario analysis exploring different pathways for sustainable N use on farmers' wheat fields in the Netherlands. Farmers' reported yield and N fertilization management practices were obtained for 141 fields in Flevoland between 2015 and 2017, representing the baseline. Actual N input and N output (amount of N in grains at harvest) were estimated for each field from these data. Water and N-limited yields and N outputs were simulated for these fields to estimate the maximum attainable yield and N output under the reported N management. The investigated scenarios included (1) closing efficiency yield gaps, (2) adjusting N input to the minimum level possible without incurring yield losses, and (3) achieving 90% of the simulated water-limited yield. Scenarios 2 and 3 were devised to allow for soil N mining (2a and 3a) and to not allow for soil N mining (2b and 3b). The results of the scenario analysis show that the largest N surplus reductions without soil N mining, relative to the baseline, can be obtained in scenario 1, with an average of 75%. Accepting negative N surpluses (while maintaining yield) would allow maximum N input reductions of 84 kg N ha−1 (39%) on average (scenario 2a). However, the adjustment in N input for these pathways, and the resulting N surplus, varied strongly across fields, with some fields requiring greater N input than used by farmers.

Crop Growth Models WOFOST CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA CROPS NITROGEN-USE EFFICIENCY WINTER WHEAT SOIL WATER

Modeling the growth, yield and N dynamics of wheat for decoding the tillage and nitrogen nexus in 8-years long-term conservation agriculture based maize-wheat system

C.M. Parihar Dipaka Ranjan Sena Prakash Chand Ghasal Shankar Lal Jat Yashpal Singh Saharawat Mahesh Gathala Upendra Singh Hari Sankar Nayak (2024, [Artículo])

Context: Agricultural field experiments are costly and time-consuming, and their site-specific nature limits their ability to capture spatial and temporal variability. This hinders the transfer of crop management information across different locations, impeding effective agricultural decision-making. Further, accurate estimates of the benefits and risks of alternative crop and nutrient management options are crucial for effective decision-making in agriculture. Objective: The objective of this study was to utilize the Crop Environment Resource Synthesis CERES-Wheat model to simulate crop growth, yield, and nitrogen dynamics in a long-term conservation agriculture (CA) based wheat system. The study aimed to calibrate the model using data from a field experiment conducted during the 2019-20-2020-21 growing seasons and evaluation it with independent data from the year 2021–22. Method: Crop simulation models, such as the Crop Environment Resource Synthesis CERES-Wheat (DSSAT v 4.8), may provide valuable insights into crop growth and nitrogen dynamics, enabling decision makers to understand and manage production risk more effectively. Therefore, the present study employed the CERES-Wheat (DSSAT v 4.8) model and calibrated it using field data, including plant phenological phases, leaf area index, aboveground biomass, and grain yield from the 2019-20-2020-21 growing seasons. An independent dataset from the year 2021–22 was used for model evaluation. The model was used to investigate the relationship between growing degree days (GDD), temperature, nitrate and ammonical concentration in soil, and nitrogen uptake by the crop. Additionally, the study explored the impact of contrasting tillage practices and fertilizer nitrogen management options on wheat yields. The experimental site is situated at ICAR-Indian Agricultural Research Institute (IARI), New Delhi, representing Indian Trans-Gangetic Plains Zone (28o 40’N latitude, 77o 11’E longitude and an altitude of 228 m above sea level). The treatments consist of four nitrogen management options, viz., N0 (zero nitrogen), N150 (150 kg N ha−1 through urea), GS (Green seeker based urea application) and USG (urea super granules @150 kg N ha−1) in two contrasting tillage systems, i.e., CA-based zero tillage (ZT) and conventional tillage (CT). Result: The outcomes exhibited favorable agreement between the model’s simulations and the observed data for crop phenology (With less than 2 days variation in 50% onset of flowering), grain and biomass yield (Root mean square error; RMSE 336 kg ha−1 and 649 kg ha−1, respectively), and leaf area index (LAI) (RMSE 0.28 & normalized RMSE; nRMSE 6.69%). The model effectively captured the nitrate-N (NO3−-N) dynamics in the soil profile, exhibiting a remarkable concordance with observed data, as evident from its low RMSE = 12.39 kg ha−1 and nRMSE = 13.69%. Moreover, as it successfully simulated the N balance in the production system, the nitrate leaching and ammonia volatilization pattern as described by the model are highly useful to understand these critical phenomena under both conventional tillage (CT) and CA-based Zero Tillage (ZT) treatments. Conclusion: The study concludes that the DSSAT-CERES-Wheat model has significant potential to assess the impacts of tillage and nitrogen management practices on crop growth, yield, and soil nitrogen dynamics in the western Indo-Gangetic Plains (IGP) region. By providing reliable forecasts within the growing season, this modeling approach can facilitate better planning and more efficient resource management. Future implications: The successful implementation of the DSSAT-CERES-Wheat model in this study highlights its applicability in assessing crop performance and soil dynamics. Future research should focus on expanding the model’s capabilities by reducing its sensitivity to initial soil nitrogen levels to refine its predictions further. Moreover, the model’s integration with decision support systems and real-time data can enhance its usefulness in aiding agricultural decision-making and supporting sustainable crop management practices.

Nitrogen Dynamics Mechanistic Crop Growth Models Crop Simulation CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA NITROGEN CONSERVATION AGRICULTURE WHEAT MAIZE CROP GROWTH RATE SIMULATION MODELS

Recent advances on research of native prawn Macrobrachium americanum (Decapoda: Palaemonidae) with aquaculture and conservation purposes

Yuneisy Milagro Agüero Fernández MIRIAM VICTORIA MARTIN MANZO MARITZA LOURDES SOBERANES YEPIZ Marcelo Ulises García Guerrero Yuniel Méndez Martínez Luis Hector Hernandez Hernandez Laura S López Greco Edilmar Cortés Jacinto (2022, [Artículo])

"Where good management practices on aquaculture are mandatory. The economic and ecological importance of prawns of the Genus Macrobrachium cause an impact at a global level involving economic, academic and social aspects. Macrobrachium americanum appears as one of the genus species with high nutritional value and an economic demand in the national and international markets, as well as a vital income for fisherman and producers of this species. For researchers, it is a challenge to find solutions to culture and propose conservation measures for M. americanum with emphasis on development, nutrition and reproduction. Although there are scientific studies supporting the economic importance of this species, our knowledge about its cultivation, reproduction and conservation is limited. This paper summarizes the latest studies made in cooperation with M. americanum in research lead by the Centro de Investigaciones Biológicas del Noroeste, Mexico. After several years of continuous research, it is considered that those efforts have produced useful information for the sustainable exploitation, conservation and basic management practices of this species."

Freshwater ecosystem, growth rate, native prawn species, conservation, sustainable fishing BIOLOGÍA Y QUÍMICA CIENCIAS DE LA VIDA BIOLOGÍA ANIMAL (ZOOLOGÍA) ECOLOGÍA ANIMAL ECOLOGÍA ANIMAL

Efecto del polvo de romero (Rosmarinus officinalis) en el crecimiento, actividad enzimática y composición proximal de juveniles de lobina rayada (Morone saxatilis)

Effect of rosemary powder (Rosmarinus officinalis) on growth, enzyme activity, and proximal composition of juvenile stripped bass (Morone saxatilis)

Erick Adolfo Barrios García (2023, [Tesis de maestría])

La acuicultura intensiva ha experimentado un rápido crecimiento en las últimas décadas. Sin embargo, la intensificación de los cultivos acuícolas ha ocasionado problemas como el estrés en los organismos, desarrollo de enfermedades y un menor crecimiento. Se ha explorado el uso de plantas aromáticas como el romero (Rosmarinus officinalis) por su efecto como antibiótico, antiestresante y estimulante de la secreción de enzimas digestivas y el crecimiento. El objetivo de este estudio fue evaluar la adición de polvo de romero en la dieta de la lobina rayada (Morone saxatilis) y determinar su efecto en la supervivencia, crecimiento, actividad enzimática (tripsina, quimiotripsina, lipasa, amilasa y proteasas alcalinas totales -PAT-) y composición proximal. Se realizó un bioensayo durante 70 días en un sistema de recirculación de agua de mar donde se probaron cuatro dietas experimentales con diferentes cantidades de polvo de romero: control (TC), 2.5 (T2.5), 5 (T5) y 10 (T10) g kg-1 de dieta. Cada tratamiento se realizó por triplicado con 20 peces por réplica con un peso inicial de 19.59 ± 2.43 g. Las lobinas se alimentaron tres veces al día al 4% de su biomasa. Al final del bioensayo, el peso final de los peces en T5 y T10 fue significativamente menor en comparación con el TC. No se observaron diferencias significativas en parámetros de crecimiento y eficiencia alimenticia. El índice hepatosomático en el T10 fue significativamente mayor en relación con TC. En el intestino, la actividad de la tripsina fue significativamente menor en el T10 y las PAT en T2.5 y T10. En ciegos pilóricos, la actividad de la tripsina fue significativamente menor en el T10, la lipasa en T2.5, T5 y T10 y las PAT en T2.5 y T10. La inclusión de polvo de romero en la dieta de lobina en concentraciones de 5 y 10 g kg-1 disminuye el crecimiento y la actividad de tripsina, PAT y lipasa en intestino y ciegos pilóricos. Se requiere investigar la composición química del romero y su efecto como inhibidor de enzimas digestivas y modulador de la microbiota intestinal, además de incluir otros indicadores para conocer de forma integrada el desempeño fisiológico de la especie.

Intensive aquaculture has experienced a very rapid growth in recent years. However, the intensification of aquaculture has led to issues such as stress in organisms, the development of diseases, and reduced growth. The use of aromatic plants, such as rosemary (Rosmarinus officinalis), has been explored due to its antibiotic, anti-stress, and digestive enzyme secretion-stimulating effects, as well as its growth-promoting properties. The objective of this study was to evaluate the addition of rosemary powder to the diet of striped bass (Morone saxatilis) and determine its effect on survival, growth, enzyme activity (trypsin, chymotrypsin, lipase, amylase, and total alkaline proteases -PAT-), and proximate composition. A 70-day bioassay was conducted in a recirculating seawater system, testing four experimental diets with varying amounts of rosemary powder: control (TC), 2.5 (T2.5), 5 (T5), and 10 (T10) g kg-1 of diet. Each treatment was performed in triplicate with 20 fish per replicate, with an initial weight of 19.59 ± 2.43 g. The striped bass were fed three times a day at 4% of their biomass. At the end of the bioassay, the final weight of fish in T5 and T10 was significantly lower compared to TC. There were no significant differences in growth parameters and feed efficiency. The hepatosomatic index in T10 was significantly higher compared to TC. In the intestine, trypsin activity was significantly lower in T10, and PAT in T2.5 and T10. In the pyloric caeca, trypsin activity was significantly lower in T10, lipase in T2.5, T5, and T10, and PAT in T2.5 and T10. The inclusion of rosemary powder in striped bass diets at concentrations of 5 and 10 g kg-1 reduces growth and the activity of trypsin, PAT, and lipase in the intestine and pyloric caeca. Further research is imperative to delve into the intricate chemical composition of rosemary, explore its role as a potent digestive enzyme inhibitor, and its potential as a modulator of the intestinal microbiota. This endeavor should also encompass the incorporation of various additional indicators, aiming for a holistic grasp of the species' physiological performance.

lobina rayada, romero, crecimiento, enzimas digestivas, composición proximal striped bass, rosemary, growth, digestive enzymes, proximal composition CIENCIAS FÍSICO MATEMÁTICAS Y CIENCIAS DE LA TIERRA CIENCIAS DE LA TIERRA Y DEL ESPACIO OCEANOGRAFÍA OCEANOGRAFÍA ACUICULTURA MARINA OCEANOGRAFÍA ACUICULTURA MARINA