Alzheimer’s disease (AD) is a neurodegenerative disorder characterized by extracellular accumulation of amyloid-β (Aβ) peptides in the brain. This study demonstrates the direct association of the disposable pipette extraction (DPX) with tandem mass spectrometry (MS/MS) for the analysis of Aβ peptides in cerebrospinal fluid (CSF) samples. Different parameters were optimized in order to improve detectability in the MS/MS including mobile phase percentage of ammonium hydroxide, mobile phase flow rate and acquisition mode. Also, this method used an electrospray ionization (ESI) low-flow probe and direct infusion of an organic solution in the MS/MS. The DPX-MS/MS method showed adequate linearity for determining Aβ peptides in CSF-linearity ranged from 0.1 to 1.5 ng mL 1. The coefficients of determination were higher than 0.99; the precision coefficient of variation (CV) ranged from 0.3 to 12.7%; and the accuracy relative standard deviation (RSD) ranged from -13.6 to 13.2%. Alzheimers Alzheimer s AD (AD amyloidβ amyloid β (Aβ brain DPX (DPX MSMS MS (MS/MS CSF (CSF samples hydroxide mode Also ESI (ESI lowflow low DPXMS/MS DPXMSMS CSFlinearity 01 0 1 0. 15 5 0.99 099 99 CV (CV 03 3 12.7% 127 12 7 RSD (RSD 13.6 136 13 6 -13. 132 2 13.2% DPXMS 0.9 09 9 12.7 13. -13 13.2 12. -1 -

This study expands and shows the versatility of applications in hydrophilic interaction chromatography coupled with triple quadrupole mass spectrometry (HILIC-MS/MS) using a FRULIC-N column to determine 31 phenolic compounds in beverage industry residues (coffee, apple juice, beer, and wine). Optimization, via Doehlert design, determined the acetonitrile proportion (50-90%) and pH (3.0-7.0) in the mobile phase (MP). A 22 factorial design assessed the concentration of ammonium acetate (10-110 mmol L-1) in the MP and column temperature (20-60 °C). Injection volume (5-45 µL) was univariately optimized. Separations at 60 °C reduced chromatographic run time to less than 11 min. Gradient elution (500 µL min-1) employed an MP comprising acetonitrile and ammonium acetate (110 mmol L-1, pH 7). Validation demonstrated average coefficient of determination (R2) 0.9707, limit of detection 0.001-0.503 mg L-1 and quantification 0.004-1.524 mg L-1, precision < 12.2%, recovery 92.4-110.8%. The method was applied to five residues, indicating its viability for determining phenolics in beverage production residues. HILICMS/MS HILICMSMS HILIC MS/MS MS (HILIC-MS/MS FRULICN FRULIC N 3 coffee, coffee (coffee juice beer wine. wine . wine) Optimization 5090% 5090 50 90% 90 (50-90% 3.07.0 3070 3.0 7.0 0 7 (3.0-7.0 MP. (MP) 2 10110 10 110 (10-11 L1 L 1 2060 20 (20-6 °C. C °C) 545 5 45 (5-4 optimized 6 min 500 (50 min1 min-1 (11 L1, 1, 7. 7) R2 R (R2 09707 9707 0.9707 0.0010.503 00010503 0.001 0.503 001 503 0.001-0.50 L- 0.0041.524 00041524 0.004 1.524 004 524 0.004-1.52 122 12 12.2% 92.4110.8%. 9241108 92.4 110.8%. 92 4 8 92.4-110.8% HILICMS MSMS 509 9 (50-90 07 3.07. 307 30 3. 70 (3.0-7. (MP 1011 (10-1 206 (20- 54 (5- (5 min- (1 (R 0970 970 0.970 0010 0.0010.50 0001050 0001 0.00 0503 0.50 00 0.001-0.5 0041 0.0041.52 0004152 0004 1524 1.52 52 0.004-1.5 12.2 4110 92.4110.8% 924110 924 92. 1108 110.8% 92.4-110.8 (50-9 3.07 (3.0-7 101 (10- (20 ( 097 97 0.97 0.0010.5 000105 000 0.0 050 0.5 0.001-0. 0.0041.5 000415 152 1.5 0.004-1. 12. 411 92.4110.8 92411 110.8 92.4-110. (50- (3.0- (10 (2 09 0.9 0.0010. 00010 0. 05 0.001-0 0.0041. 00041 15 1. 0.004-1 41 92.4110. 9241 110. 92.4-110 (3.0 0.0010 0.001- 0.0041 0.004- 92.4110 92.4-11 (3. 92.411 92.4-1 (3 92.41 92.4-

RESUMO: O uso de métodos não destrutivos e de baixo custo para determinação de área foliar tem ganhado importantes aplicações. Os objetivos da pesquisa foram (i) propor um método não destrutivo para estimar a área foliar da cultura da mamona e (ii) construir equações que estimem com precisão e rapidez a área foliar da espécie. Foram coletadas mil folhas sadias e expandidas de cinco cultivares de mamona (New Zealand Purple, Sipeal, Carmencita, Amarelo de Irecê e IAC-80), sendo coletadas 200 folhas de cada uma. O comprimento máximo, largura máxima e área foliar foram calculados para cada folha. Foi calculado o produto entre comprimento e largura (LW). Foram realizados testes com diferentes modelos de regressão linear e não linear entre área foliar e dimensões lineares das folhas de cada cultivar. Os modelos utilizados foram linear, linear sem intercepto e potência. Os critérios para escolha dos melhores modelos para estimar a área foliar da mamona foram maior coeficiente de determinação, maior coeficiente de correlação linear de Pearson, menor critério de informação de Akaike, maior índice de concordância de Willmott e menor raiz do erro quadrático médio. As equações que apresentaram melhores critérios para estimativa da área foliar das cultivares de mamona foram aquelas que utilizaram o produto entre comprimento e largura, em comparação às equações que utilizaram apenas uma dimensão foliar. O modelo ŷ = 0,439 × LW pode ser utilizado para estimar com precisão e rapidez a área foliar da mamona por meio de medidas lineares das folhas, utilizando o produto entre comprimento e largura (LW), independente da cultivar escolhida. RESUMO aplicações i (i ii (ii espécie New Purple Sipeal Carmencita IAC80, IAC80 IAC 80 , IAC-80) 20 máximo folha LW. . (LW) potência Pearson Akaike médio 0439 0 439 0,43 LW, escolhida IAC8 8 IAC-80 2 (LW 043 43 0,4 IAC-8 04 4 0, IAC-

ABSTRACT: Using non-destructive and low-cost methods to determine leaf area has gained important applications. The research objectives were (i) to propose a non-destructive method to estimate the leaf area of castor bean crops and (ii) to build equations that accurately and quickly estimate the leaf area of specie. One thousand healthy and expanded leaves of five castor bean cultivars (New Zealand Purple, Sipeal, Carmencita, Amarelo de Irecê, and IAC-80) were collected, and 200 leaves were collected from each. The maximum length, maximum width, and leaf area were calculated for each leaf. The product between length and width (LW) were calculated. We performed tests with different linear and non-linear regression models between leaf area and linear leaf dimensions of each cultivar. The models used were linear, linear without intercept, and power. The criteria for choosing the best models to estimate the leaf area of castor beans were a higher coefficient of determination, more elevated Pearson’s linear correlation coefficient, lower Akaike information criterion, higher Willmott agreement index, and smallest root mean square error. The equations that presented the best criteria for estimating the leaf area of castor bean cultivars were those that used the product between length and width, compared to equations that used only one leaf dimension. The model ŷ = 0.439 × LW can be used to accurately and quickly estimate the castor bean leaf area through linear measurements of the leaves, using the product between length and width (LW), regardless of the cultivar chosen. ABSTRACT nondestructive non destructive lowcost low cost applications i (i ii (ii specie New Purple Sipeal Carmencita Irecê IAC80 IAC 80 IAC-80 20 (LW nonlinear intercept power determination Pearsons Pearson s criterion index error dimension 0439 0 439 0.43 LW, , chosen IAC8 8 IAC-8 2 043 43 0.4 IAC- 04 4 0.

This study presents a solution to solid waste problems, focusing on spent lithium-ion batteries (LiBs) and iron ore tailings (IOT) from the Mariana environmental accident in Brazil. The approach involves the production CoFe2O4 from LiBs and IOT, which serves as a catalyst for solar photo-Fenton reactions for methylene blue (MB) decolorization and as an electrochemical sensor for ascorbic acid (AA) detection. Chemical analysis showed recycling potential, with 45.22 ± 0.22% m m−1 Co from LiBs and 14.9 ± 1.5% m m−1 Fe from IOT, determined by inductively coupled plasma atomic emission spectroscopy (ICP OES) and flame atomic absorption spectrometry (FAAS). The sol-gel synthesized CoFe2O4 exhibited a crystallite size of 51.9 ± 1.3 nm and agglomerated crystal clusters. Recycled-CoFe2O4 exhibited a 98.1% MB decolorization efficiency in 60 min under solar irradiation and remained above 92.3% in all 7 reuse cycles. The electrochemical sensor exhibited a coefficient of determination of 0.9987, a sensitivity of 3.352 ± 0.0428 μA mol L−1, and a limit of detection of 0.5511 µM in the concentration range of 1.96 to 23.08 mmol L−1 for AA detection. This study demonstrates the potential of recycled-CoFe2O4 in an environmentally friendly dye removal and as an electrochemical sensor, offering sustainable waste management and resource utilization with solar energy. problems lithiumion lithium ion (LiBs IOT (IOT Brazil CoFeO CoFe O CoFe2O photoFenton photo Fenton (MB (AA 4522 45 22 45.2 022 0 0.22 m1 1 m− 149 14 9 14. 15 5 1.5 ICP OES FAAS. FAAS . (FAAS) solgel sol gel 519 51 51. 13 3 1. clusters RecycledCoFe2O4 RecycledCoFeO Recycled Recycled-CoFe2O 981 98 98.1 6 923 92 92.3 cycles 09987 9987 0.9987 3352 352 3.35 00428 0428 0.042 L1 L 05511 5511 0.551 196 96 1.9 2308 23 08 23.0 L− recycledCoFe2O4 recycledCoFeO recycled recycled-CoFe2O energy 452 4 2 45. 02 0.2 (FAAS RecycledCoFe RecycledCoFe2O 98. 92. 0998 998 0.998 335 35 3.3 0042 042 0.04 0551 551 0.55 19 230 23. recycledCoFe recycledCoFe2O 0. 099 99 0.99 33 3. 004 04 0.0 055 55 0.5 09 0.9 00 05

ABSTRACT Soil water balance models can be a good option for studying crop growth and yield responses under different water supply levels. The aim of this study was to evaluate the effect of different irrigation strategies on sunflower yield and water productivity using field experiments and soil water balance simulations. Two field experiments were performed. In 2018/19, four irrigation strategies (aimed at maintaining soil available water at 80, 70, 60, and 50% of total available water) were evaluated. In 2020/21 an irrigated and a rain-fed treatment were evaluated. The SIMDualKc model was calibrated and validated to simulate soil water balance and derive the dual coefficients using plant variables from field observations. Grain yield was highest in the treatment maintained at 70% of total available water in Study I, suggesting that a water replenishment reduction strategy may be an alternative to irrigation management, especially in locations where water is scarce. The statistical indicators showed good performance of the model in simulating the water available in the soil, with the coefficient of determination > 0.90 and modeling efficiency above 0.86 for all cases. The study allowed the calibration of the single and basal crop coefficients of sunflower, which are important parameters for irrigation management. levels simulations performed 201819 2018 19 2018/19 aimed 80 70 60 50 evaluated 202021 2020 21 2020/2 rainfed rain fed observations I management scarce 090 0 90 0.9 086 86 0.8 cases 20181 201 1 2018/1 8 7 6 5 20202 202 2 2020/ 09 9 0. 08 20 2018/

RESUMO Os modelos de balanço hídrico do solo podem ser uma boa opção para estudar o crescimento das culturas e as respostas de rendimento sob diferentes níveis de fornecimento de água. O objetivo deste estudo foi avaliar os efeitos de diferentes estratégias de irrigação na produtividade do girassol e na produtividade da água usando experimentos de campo e simulações de balanço hídrico do solo. Dois experimentos de campo foram realizados. Em 2018/19, foram utilizadas quatro estratégias de irrigação (mantida a água disponível no solo em 80, 70, 60 e 50% da água total disponível). Em 2020/21 foi utilizado um tratamento irrigado e de sequeiro. O modelo SIMDualKc foi calibrado e validado para simular o balanço hídrico do solo e derivar os coeficientes duais usando variáveis da planta a partir de observações de campo. A produtividade de grãos foi maior no tratamento mantido a 70% do total de água disponível no Estudo I, sugerindo que a redução da reposição de água pode ser uma alternativa para o manejo da irrigação, principalmente em locais onde a água é escassa. Os indicadores estatísticos mostraram um bom desempenho do modelo na simulação da água disponível no solo, com coeficiente de determinação > 0,90 e eficiência de modelagem acima de 0,86 para todos os casos. O estudo permitiu a calibração do coeficiente de cultura simples e basal do girassol, que são parâmetros importantes para o manejo da irrigação. realizados 201819 2018 19 2018/19 mantida 80 70 6 50 disponível. . disponível) 202021 2020 21 2020/2 sequeiro I escassa 090 0 90 0,9 086 86 0,8 casos 20181 201 1 2018/1 8 7 5 20202 202 2 2020/ 09 9 0, 08 20 2018/

Resumen El calostro es la primera secreción mamaria y es la única forma en la cual las becerras adquieren inmunidad pasiva. El objetivo de este estudio es determinar la correlación de la calidad del calostro de vacas lecheras de alta producción medido con calostrómetro y refractometría digital de grados Brix (°Bx). Se tomaron 340 muestras de calostro del mismo número de vacas y fueron analizadas mediante el calostrómetro y refractometría de °Bx. Se realizó una regresión lineal simple y se determinó el coeficiente de determinación (R²). Todo a través del paquete estadístico SPSS 25.0. La media de con calostrómetro fue de 87.94±110, mientras con refractometría Brix fueron de 26.19±18, con una R2 0.706 con un valor de P<0.0001. En conclusión, las lecturas de refractometría y el calostrómetro, son métodos efectivos en determinar las inmunoglobulinas. El refractómetro Brix tuvo una correlación aceptable, lo cual puede ser una herramienta fácil de verificación de calidad de calostro al pie de la vaca.

Abstract Colostrum is the first mammary secretion and in which calves can obtain passive immunity. This study aimed to correlate the quality of colostrum from high-yielding dairy cows using either a colostrometer or Brix digital refractometry (°Bx). Samples (N=340) of colostrum were taken from cows and analyzed with a colostrometer and Brix refractometry. A linear regression was performed. The coefficient of determination (R2) was calculated. All statistical analyzes were done with the SPSS 25.0 statistical package. Means with colostrometer were 87.94±110, while with Brix refractometer they were 26.19±18, with R2 0.706 and a P<0.0001. In conclusion, the refractometer and the colostrometer are effective methods to determine immunoglobulins. Brix refractometer had an acceptable correlation, which could be a useful tool for verifying the colostrum’s quality next to the cow.

Summary: The fraction of vegetation cover (FVC) and the Leaf Area Index (LAI) are biophysical variables closely related to the evapotranspiration rate of crops and their biomass production. Despite their importance, they are usually not measured directly due to their time-consuming and costly nature; however, they can be estimated on a large scale and near-real-time using spectral information captured in satellite images, although this requires prior validation at the field level. Simple linear regression models were developed and validated using 13 vegetation indices (VI) related to LAI and FCV in alfalfa (Medicago sativa). Three spectral information sources were used: (i) reflectance to derive the VI; (ii) digital photographs processed with the Canopeo application to estimate FVC; and (iii) direct LAI measurements using a ceptometer. Six field samples were taken between March and June, 2020 in four alfalfa plots located in Palmar de Bravo, Puebla, Mexico. To evaluate each VI, the determination coefficient (R2) and the root mean square error (RMSE) were used. We found that the most suitable VI for estimating FVC was the VIgreen (Green Vegetation Index, R2 =0.987 and RMSE = 0.093). For the LAI, the VI that performed best was the NDVI (Normalized Difference Vegetation Index, R2 = 0.935 and RMSE = 0.746). The results showed the suitability and practical utility of spectral information for estimating biophysical variables in alfalfa cultivation and their monitoring.

Resumen: La fracción de cobertura vegetal (FCV) y el índice de área foliar (IAF) son variables biofísicas relacionadas estrechamente con la tasa de evapotranspiración de los cultivos y su producción de biomasa. A pesar de su importancia, usualmente no se miden de manera directa debido al tiempo invertido y costo; sin embargo, se pueden estimar a gran escala y en tiempo casi real mediante información espectral captada en imágenes de satélite, pero esto requiere de su validación a nivel de campo. Se desarrollaron y validaron modelos de regresión lineal simple utilizando 13 índices de vegetación (IV) relacionados con el IAF y la FCV en alfalfa (Medicago sativa). Se usaron tres fuentes de información espectral: (i) La reflectancia para derivar los IV; (ii) fotografías digitales procesadas con Canopeo para estimar la FCV; y (iii) mediciones del IAF utilizando un ceptómetro. Se realizaron seis muestreos de campo entre marzo y junio de 2020, en cuatro parcelas de alfalfa situadas en Palmar de Bravo, Puebla, México. Para evaluar cada IV, se utilizó el coeficiente de determinación (R2) y la raíz del cuadrado medio del error (RCME). Se encontró que el IV más apropiado para estimar la FCV fue el VIgreen (Green Vegetation Index, R2 = 0.987 y RCME = 0.093). En el caso del IAF, el IV que presentó el mejor desempeño fue el Normalized Difference Vegetation Index (NDVI), R2 = 0.935 y RCME = 0.746). Los resultados mostraron la aptitud y utilidad práctica de la información espectral para estimar las variables biofísicas en el cultivo de alfalfa y su monitoreo.

Summary: The middle area of the state of Sinaloa in Northwestern Mexico is characterized by a warm semi-arid climate where rainfall is insufficient for the adequate development of some introduced plant species. For example, those that correspond to the genus Brachiaria, despite technological advances in sencor development, the producers have limted access to sufficient meteorological information. Therefore, the aim in the present study is to determine water requirement, crop coefficient, and productivity of Convert 300 hybrid grass (Brachiaria sp) in a warm semiarid climate of Mexico by using the Food and Agriculture Organization (FAO56 Penman-Montiel equation) method with complete and limited data; a meteorological station was used to measure climatic parameters, and the FAO56 method with dual kc was applied to estimate crop evapotranspiration under non-standard conditions, and subsequently, water productiviy. The estimated water consumption for the Convert 330 hybrid in the warm semiarid climate of northwest Mexico was 1849 mm with measured data and 1973.5 mm with limited data. The statistical analyses yielded a coefficient of determination (R2) of 0.92, Willmott’s coefficient of agreement (d) of 0.90, RMSE of 0.694 mm d-1, BIAS of 0.380 mm d-1 and a Nash-Sutcliffe coefficient of efficiency (EF) of 0.98. The kc values were 0.49, 1.11 and 1.04 for initial, middle and end of season, respectively; the water productivity (WUE) was 2.666 kg m-3 for green forage, and 0.726 kg m-3, for dry matter, in the same way, 375.1 and 1378 L kg-1 were required to produce green forage and dry matter, respectively. To conclude, althought the ETc estimation with limited data overestimated the ETc with measured data by 6.7%, statistics showed that the procedure is reliable.

Resumen: La región central del estado de Sinaloa en el noroeste mexicano, se caracteriza por un clima semiárido cálido donde la precipitación es insuficiente para el desarrollo adecuado de algunas especies vegetales introducidas, como las correspondientes al género Brachiaria, a pesar del avance tecnológico en el desarrollo de sensores, es escaso el acceso de los productores a suficiente información meteorológica; el objetivo del presente trabajo consistió en determinar el requerimiento hídrico, coeficiente de cultivo y productividad del pasto híbrido Convert 330 (Brachiaria sp) en un clima semiárido cálido de México, utilizando el método FAO56 con datos medidos y datos limitados; se utilizó una estación meteorológica para medir los parámetros climáticos, y se aplicó el método FAO56 con kc dual para estimar la evapotranspiración de cultivo bajo condiciones no estándar, y posteriormente, la productividad del agua. El consumo de agua estimado para el pasto Convert 330 en clima semiárido cálido del noroeste de México fue de 1849 mm con datos medidos y 1973.5 mm con datos limitados; el análisis estadístico arrojó un coeficiente de determinación (R2) de 0.92, coeficiente de concordancia de Willmott (d) de 0.90, RMSE de 0.694 mm d-1, BIAS=0.380 mm d-1 y un coeficiente de eficiencia de Nash-Sutcliffe (EF) de 0.98. Los valores de kc obtenidos fueron de 0.49, 1.11 y 1.04 paras las etapas inicial, media y final, respectivamente; la productividad del agua (EUA) fue de 2.666 kg m-3 para forraje verde y 0.726 kg m-3 para materia seca; asimismo, se requirieron 375.1 y 1378 L kg-1 para la producción de forraje verde y materia seca, respectivamente. Finalmente, se concluye que, aunque la estimación de la ETc con datos limitados sobrestimó en un 6.7% la ETc con datos medidos, la estadística muestra que es confiable el procedimiento.

Resumen: El hormigón es el material principal utilizado en la construcción en Ecuador. Para su diseño, se consideran dos características: la resistencia a la compresión y el módulo de elasticidad. El módulo de elasticidad se calcula convencionalmente en relación con la resistencia a la compresión, mediante ecuaciones establecidas en códigos de diseño. Sin embargo, investigaciones han demostrado que estas ecuaciones no reflejan con precisión la realidad en Ecuador, ya que el módulo de elasticidad no solo depende de la resistencia a la compresión, sino también de otras variables como el origen del agregado, el tipo de cemento, el proceso de producción, entre otros. En este estudio, se desarrolla un modelo que utiliza la teoría de lógica difusa para estimar el módulo de elasticidad. Se emplea un sistema de inferencia lógica ANFIS (Adaptive Neuro Fuzzy Inference Systems), utilizando datos previos de ensayos de laboratorio como conocimiento previo para crear funciones de membresía (FMs) y reglas difusas del tipo condicional (If-Then) para estimar nuevos datos del módulo de elasticidad. Además de la resistencia a la compresión, se consideran otras variables importantes en la determinación del módulo de elasticidad. Los resultados son favorables, con un coeficiente de correlación R2=0.988 y una desviación estándar S=0.097, lo que indica que el sistema de inferencia lógica (SIL) es capaz de desarrollar un modelo único que permite considerar todas las variables que influyen en la determinación del módulo de elasticidad y proporcionar valores confiables.

Abstract: Concrete is the most frequently used construction material in Ecuador. Two characteristics considered for its design are compressive strength and modulus of elasticity. The latter is conventionally calculated in relation to the former using equations established in design codes. However, research has shown that these equations do not accurately reflect the reality in Ecuador, as the modulus of elasticity depends not only on compressive strength but also on other variables such as aggregate origin, type of cement, production process, among others. In this study, a model using fuzzy logic is developed to estimate the modulus of elasticity by applying an ANFIS (Adaptive Neuro Fuzzy Inference Systems) logical inference system. Previous laboratory test data are used as prior knowledge to create membership functions (MFs) and fuzzy conditional rules (If-Then) to estimate new modulus of elasticity. In addition to compressive strength, other important variables are considered in the determination of the modulus of elasticity. The results are favorable, with a correlation coefficient R2=0.988 and a standard deviation S=0.097, indicating that the logical inference system (LIS) is capable of developing a unique model that allows considering all variables that influence the determination of the modulus of elasticity and providing reliable results.

ABSTRACT The drying process is paramount for maintaining seed quality, where the temperature during this process directly influences germination and vigor, especially for vegetable species harvested with high moisture content. This research aimed to determine and model the drying curves of S. aethiopicum (cultivar Tinguá-verde-claro) seeds at temperatures of 35, 38, 41, and 44 ºC, as well as to evaluate the physiological quality of the seeds after drying. A completely randomized design was used, with four drying temperatures (35, 38, 41, and 44 ºC) and four replicates. Nine mathematical models were fitted using the non-linear regression analysis by the Gauss-Newton method, and the goodness of fit was assessed based on the magnitude of the coefficient of determination (R2), chi-square test (χ2), relative mean error (P), and estimated mean error (SE). Seed quality was evaluated by germination test (G), electrical conductivity (EC), and accelerated aging (AA). The Modified Midilli model best represents the drying curves of S. aethiopicum seeds at the studied temperatures. Seeds with higher germination and vigor, meaning lower electrical conductivity values and higher germination rates after accelerated aging, are achieved through drying at 35 and 38 ºC. vigor content S cultivar Tinguáverdeclaro Tinguá verde claro Tinguá-verde-claro 41 4 ºC used (35 replicates nonlinear non linear GaussNewton Gauss Newton method R2, R2 R , (R2) chisquare chi square χ2, χ2 χ (χ2) P, P (P) SE. SE . (SE) G, G (G) EC, EC (EC) AA. AA (AA) 3 (3 (R2 (χ2 (P (SE (G (EC (AA ( (R (χ

RESUMO O processo de secagem é de suma importância para a manutenção da qualidade das sementes, onde a temperatura de condução deste processo exerce influência direta sobre a germinação e vigor, sobretudo para as espécies olerícolas que são colhidas com alto teor de água. O objetivo desta pesquisa foi determinar e modelar as curvas de secagem de sementes de jiló (cultivar Tinguá-verde-claro) nas temperaturas de 35, 38, 41 e 44 ºC, bem como avaliar a qualidade fisiológica das sementes após a secagem. Foi utilizado o delineamento inteiramente casualizado, sendo quatro temperaturas de secagem (35, 38, 41 e 44 ºC) com quatro repetições. Nove modelos matemáticos foram ajustados por meio de análise de regressão não linear pelo método de Gauss-Newton, e o grau de ajuste foi avaliado com base na magnitude do coeficiente de determinação (R2), teste qui-quadrado (χ2), erro médio relativo (P) e erro médio estimado (SE). A qualidade das sementes foi avaliada pelo teste de germinação (G), condutividade elétrica (CE) e envelhecimento acelerado (EA). O modelo ‘Midilli Modificado’ é o que melhor representa as curvas de secagem das sementes de jiló nas temperaturas estudadas. Sementes com maior germinação e vigor, ou seja, com menores valores de CE e maiores taxas de germinação após EA, são alcançadas através da secagem a 35 e 38 ºC. vigor água cultivar Tinguáverdeclaro Tinguá verde claro Tinguá-verde-claro 4 ºC casualizado (35 repetições GaussNewton, GaussNewton Gauss Newton, Newton Gauss-Newton R2, R2 R , (R2) quiquadrado qui quadrado χ2, χ2 χ (χ2) P (P SE. SE . (SE) G, G (G) (CE EA. EA (EA) Midilli Modificado estudadas seja 3 (3 (R2 (χ2 (SE (G (EA ( (R (χ

Resumen La investigación tiene como objetivo la elaboración de un modelo agrometeorológico de pronóstico del rendimiento agrícola azucarero. Se tomaron los rendimientos por cepas y totales, área de cada cepa y total, y edad de la plantación de 13 Unidades Empresariales de Base de las provincias Cienfuegos, Sancti Spíritus y Ciego de Ávila en el período 1980-2015; así como, registros mensuales de precipitación, temperatura media y evapotranspiración de siete estaciones meteorológicas. Se calculó el Índice Potencial Productivo según la fase fenológica en la que se encuentre para comprobar su grado de efectividad. Para el procesamiento estadístico se utilizó el tabulador Excel, STATISTICA versión 8.0.5 y el módulo matemático SciPy. La efectividad de las estimaciones de rendimiento agrícola obtenidas con el modelo presentado para las zafras 2011 - 2015, se comparó usando el coeficiente de determinación R2, analizando la relación establecida entre las variables regresoras y el predictando. El modelo de regresión lineal múltiple permite realizar pronósticos de rendimiento agrícola con precisión y ajuste, en dependencia de los escenarios comerciales concretos de la producción cañera del país. La provincia Ciego de Ávila revela, de las tres en estudio, el mayor grado de efectividad en la estimación del rendimiento agrícola de la caña de azúcar.

Abstract The objective of the research is the development of an agrometeorological model for forecasting sugar agricultural yield. The yields by strains and totals, area of each strain and total, and age of the plantation were taken from 13 Management Business Units in the Cienfuegos, Sancti Spíritus and Ciego de Ávila provinces in the period 1980-2015; as well as monthly records of precipitation, average temperature and evapotranspiration from seven meteorological stations. The Productive Potential Index was calculated according to the phenological phase in which it is found to verify its degree of effectiveness. For statistical processing, the Excel tabulator, STATISTICA version 8.0.5 and the SciPy mathematical module were used. The effectiveness of the agricultural yield estimates obtained with the model presented for the 2011 - 2015 harvests was compared using the coefficient of determination R2, analyzing the relationship established between the regressor variables and the predictand. The multiple linear regression model allows agricultural performance forecasts to be made with precision and adjustment, depending on the specific commercial scenarios of the country's sugarcane production. The province of Ciego de Ávila reveals, of the three under study, the highest degree of effectiveness in estimating the agricultural yield of sugar cane.

ABSTRACT Nowadays marine and coastal ecosystems are threatened by the invasion of harmful algal species. The solution to this situation should be aimed at the integral use of this biomass. The drying process has a decisive impact on the quality of the resulting raw material and the cost of any derived by-products. For this reason, the objective of this research is to evaluate the drying process of macroalgae: Sargassum fluitans, Ulva lactuca and Chaetomorpha cf. gracilis, using a solar dryer designed for this purpose. The drying process was evaluated at a temperature of 60°C. The results obtained reported that dehydration in the oven lasted less than 2 hours, while in the solar dryer values higher than those achieved in the oven were recorded. The first derivative analysis shows that the highest peak of moisture loss is around 80 % and is reached in the first 15 min in the electric stove. However, in solar drying it was recorded around 45 min. The results obtained in the drying process were adjusted to a polynomial model with a determination coefficient of 99,13 %

RESUMEN Hoy día los ecosistemas marinos y costeros se encuentran amenazados por la invasión de algas nocivas. La solución a esta situación necesariamente debe estar encaminada al aprovechamiento integral de esta biomasa. El proceso de secado tiene un impacto decisivo en la calidad de la materia prima resultante y el costo de cualquier subproducto derivado. Por este motivo el objetivo de esta investigación es evaluar el proceso de secado de las macroalgas: Sargassum fluitans, Ulva lactuca y Chaetomorpha cf. gracilis, utilizando un secador solar diseñado al efecto. El proceso de secado fue evaluado a una temperatura de 60°C. Los resultados obtenidos reportaron que la deshidratación en la estufa tuvo una duración inferior a las 2 h, mientras que en el secador solar se registraron valores superiores a los alcanzados en la estufa. El análisis de la primera derivada muestra que el mayor pico de pérdida de humedad está alrededor del 80 % y se alcanza en los primeros 15 min en la estufa eléctrica. Sin embargo, en el secado solar se registró alrededor de los 45 min. Los resultados obtenidos en el proceso de secado fueron ajustados a un modelo polinomial con un coeficiente de determinación del 99,13 %.

Abstract Tropical pines are important because of the amount of wood they produce in short periods. However, it requires allometric functions to predict the total tree height, since it is one of the critical variables to estimate both, it is the total and commercial volume. Accordingly, we aimed to develop a local and a generalized allometric function for model the total height-diameter (h-d) relationship of Pinus caribaea var. hondurensis and hybrid Pinus caribaea var. hondurensis × Pinus tecunumanii in the Sierra Norte of Puebla, México. In order to analyze the relationships, 1 232 h-d pairs were used. The allometric models were fitted with three parameters totaling 80% of the data and validated with 20%. The best model had the lowest average bias, root mean square error, and Akaike’s Information Criterion, as well as of the highest adjusted coefficient of determination. The models explained over 58.55% of the variability in observed total tree height. Nonetheless, the Gompertz and Weibull models obtained the best performances in fit and validation, and estimated h of tropical pines with less uncertainty. In consequence, the fitted allometric functions are reliable for predicting tree h; therefore, it can contribute to the sustainable management of commercial tropical pine plantations in the study region.

Resumen Los pinos tropicales son importantes por la cantidad de madera que producen en periodos cortos de tiempo. Para ello, se requieren de funciones alométricas para predecir la altura total de los árboles, ya que es una de las variables indispensables para calcular el volumen total y comercial. El objetivo de la investigación fue desarrollar una función alométrica local y una generalizada para modelar la relación altura total-diámetro normal (at-dn) de Pinus caribaea var. hondurensis y del hibrido Pinus caribaea var. hondurensis × Pinus tecunumanii en la Sierra Norte de Puebla, México. Para analizar las relaciones se usaron 1 232 pares de datos de at-dn. Se ajustaron modelos alométricos con tres parámetros con el 80% de los datos y se validaron con el 20%. El mejor modelo fue el que presentó el menor sesgo promedio, raíz del error medio cuadrático y Criterio de Información de Akaike, así como el de mayor coeficiente de determinación ajustado. Los modelos explicaron más del 58.55% de la variabilidad en la at observada en los árboles. El modelo Logístico y de Weibull obtuvieron los mejores desempeños en el ajuste y validación, y estimaron con menor incertidumbre la at de los pinos tropicales. Las funciones alométricas ajustadas son confiables para predecir la at de los árboles, por lo que puede contribuir al manejo sustentable de plantaciones comerciales de pinos tropicales en la región de estudio.

Abstract Forest inventories are tools that allow the collection and recording of information for the estimation of volume and biomass in order to determine carbon sequestration in forest biomass using regression techniques. The objective of the study was to generate allometric equation parameters that accurately estimate the biomass and total aboveground carbon content of 25 temperate species from UMAFOR 2012, San Juan Quiahije, Oaxaca. Circular sampling sites of 1000 m2 were established, where the normal diameter and total height of 16 863 trees of 25 species were taken; subsequently, biomass and aboveground carbon content were estimated through allometric equations, using SAS software. The simultaneous potential equation had the best goodness of fit, where the adjusted coefficient of determination (R2 adj) was over 87% for total biomass, while the total carbon estimate had an R2adj of 99% for all species. Pinus maximinoi had the highest average biomass (35 971.85 and 2 922.03 kg) and carbon content (17 985.92 and 1 462.01 kg) in branches and stems, respectively.

Resumen Los inventarios forestales son herramientas que permiten la recolección y registro de información para la estimación del volumen y la biomasa con la finalidad de determinar la retención del carbono en la biomasa forestal mediante técnicas de regresión. El objetivo del estudio fue generar parámetros de ecuaciones alométricas que estimen de forma precisa la biomasa y el contenido de carbono total aéreo de 25 especies de clima templado de la UMAFOR 2012 en San Juan Quiahije, Oaxaca. Se establecieron sitios circulares de muestreo de 1000 m2, donde se tomó el diámetro normal y la altura total de 16 863 árboles de 25 especies; posteriormente se estimó la biomasa y el contenido de carbono aéreo a través las ecuaciones alométricas, mediante el Software SAS. La ecuación potencial simultánea fue la que presentó la mejor bondad de ajuste, donde el coeficiente de determinación ajustado (R2 adj) fue superior a 87% para la biomasa total, mientras que en la estimación del carbono total se obtuvo un R2 adj de 99% para todas las especies. El género Pinus presentó mayor proporción en los compartimentos, destacando Pinus maximinoi con el mayor promedio en biomasa (35 971.85 y 2 922.03 kg) y contenido de carbono (17 985.92 y 1 462.01 kg) en ramas y fuste, respectivamente.

Abstract The methodology for mixture design can be used to optimize the proportions of ions in nutrient solution, thereby maximizing crop yield; however, it is rarely used. The aim of this work was to apply a mixture design to evaluate nutrient solutions with different proportions of K+, Ca2+ and Mg2+ on the average weight, number and yield of fruits, and to determine the optimal combination that maximizes the fruit yield of tomato (Solanum lycopersicum cv. Legionario) grown in a closed hydroponic system. The simplex-lattice experimental design {3,2} was used, with 10 nutrient solutions and a total concentration of 40 meq∙L-1 of ions in each solution. The maximum values of fruit number and yield (27 and 135.8 t∙ha-1, respectively) were obtained with proportions of 0.375 K+, 0.400 Ca2+ and 0.225 Mg2+ in the nutrient solution, equivalent to 7.5, 8 and 4.5 meq∙L-1, respectively. The polynomial regression model estimated to predict yield as a function of K+, Ca2+ and Mg2+ mixtures is of the fourth degree (special quartic), with a coefficient of determination (R2) equal to 0.81, which explains 81 % of the variability of the yield data. The maximum estimated yield was 142 t∙ha-1, with partial desirability of 0.964, which would be obtained with 0.358 K+, 0.421 Ca2+ and 0.220 Mg2+, equivalent to 7.28, 8.26 and 4.46 meq∙L-1, respectively, in the nutrient solution.

Resumen La metodología para el diseño de mezclas se puede emplear para optimizar las proporciones de los iones en solución nutritiva, y con ello maximizar el rendimiento de los cultivos; sin embargo, su uso es escaso. El objetivo del presente trabajo fue aplicar un diseño de mezclas para evaluar soluciones nutritivas con diferentes proporciones de K+, Ca2+ y Mg2+ sobre el peso medio, número y rendimiento de frutos, y determinar la combinación óptima que maximice el rendimiento de fruto de tomate (Solanum lycopersicum cv. Legionario) cultivado en sistema hidropónico cerrado. Se utilizó el diseño experimental látice simplex {3,2}, con 10 soluciones nutritivas y una concentración total de 40 meq∙L-1 de iones en cada solución. Los valores máximos de número y rendimiento de frutos (27 y 135.8 t∙ha-1, respectivamente) se obtuvieron con proporciones de 0.375 K+, 0.400 Ca2+ y 0.225 Mg2+ en la solución nutritiva, equivalentes a 7.5, 8 y 4.5 meq∙L-1, respectivamente. El modelo de regresión polinomial estimado para predecir el rendimiento en función de las mezclas de K+, Ca2+ y Mg2+ es de grado cuatro (cuártico especial), con coeficiente de determinación (R2) igual a 0.81, el cual explica en 81 % la variabilidad de los datos de rendimiento. El máximo rendimiento estimado fue de 142 t∙ha-1, con deseabilidad parcial de 0.964, que se obtendría con 0.358 K+, 0.421 Ca2+ y 0.220 Mg2+, equivalentes a 7.28, 8.26 y 4.46 meq∙L-1, respectivamente, en la solución nutritiva.