Tales Jesus Fernandes

Universidade Federal de Lavras

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Co-Authors

Joel Augusto Muniz

Universidade Federal de Lavras

Edilson Marcelino Silva

Universidade Federal de Lavras

Felipe Augusto Fernandes

Universidade Federal de Lavras

Sarah Laguna Conceição Meirelles

Universidade Federal de Lavras

Felipe Amorim Caetano de Souza

Universidade Federal de Lavras

Ariana Campos Frühauf

Universidade Federal de Lavras

Raquel Silva de Moura

Universidade Federal de Lavras

Adriele Aparecida Pereira

Universidade Federal de Alfenas

ÉM

Édipo Menezes da Silva

Universidade Federal de Lavras

Fabiana Oliveira Cunha

Universidade Federal de Minas Gerais

Cooperative Institutions

Universidade Federal de Lavras

103

ORCID

Universidade de Brasília

Instituto Federal de Educação, Ciência e Tecnologia de Minas Gerais

Universidade de São Paulo

Universidade Federal de Minas Gerais

Universidade Federal Rural do Rio de Janeiro

Universidade Federal de Viçosa

University of Kentucky

Universidade Estadual Paulista (Unesp)

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Growth curves of broilers fed different nutritional relationships using the Gompertz model

Figshare (2023)

Luís Filipe Villas-Bôas de Freitas Antônio Gilberto Bertechini Alisson Hélio Sampaio Clemente Felipe Augusto Fernandes Diego Alexsander Bauth

ABSTRACT. The study aimed to evaluate performance and growth curves of broilers fed different nutritional relations. A total of 1,440 Cobb-500 male day-old chicks were assigned to eight treatments in a 2 x 2 x 2 factorial arrangement with six replicates of 30 birds each. The main factors were nutritional density (control and high), lysine source (HCl and sulfate), and calcium pidolate (presence and absence). Analyses were made for body weight gain (BWG), and feed conversion rate (FCR) at 21, and 42 days of age. The growth curves were adjusted by weighing a bird per plot every three days. Data for BWG were tested by ANOVA to evaluate the effects of treatments and their interactions at 5% significance, and the Gompertz model was adjusted by NLS. Birds fed a high nutritional density had higher BWG and lower FCR. Calcium pidolate and different sources of lysine did not influence the FCR of broilers, however a triple interaction was evidenced for BWG at 1 to 42 days of age. The day with maximum gain adjusted by Gompertz of all treatments was at the 32nd day of age and the maximum weight (A) was around 5.85 kg.

Gompertz function

Growth curve (statistics)

10.6084/m9.figshare.22308726

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Citations (0)

Stanford & Smith nonlinear model in the description of CO2 evolved from soil treated with swine manure: maximum entropy prior

Acta Scientiarum. Technology/Acta scientiarum. Technology (2022)

Edilson Marcelino Silva Sérgio Alberto Jane Felipe Augusto Fernandes Édipo Menezes da Silva Joel Augusto Muniz

The dynamics of organic waste decomposition in the soil can be described by nonlinear regression models, however, the theory for regression models is valid for sufficiently large samples, and in general, in small samples, these properties are unknown. One of the methods for data analysis that has been widely used to overcome this problem is the bayesian inference, as it has the advantage of being able to work with small samples, in addition to allowing the incorporation of information from previous studies, and even having a probability distribution for the parameters, consequently, to present a direct interpretation for the credibility interval. However, criticism has been made because of the effect that a prior subjective distribution can have on posterior distribution. One way of determining objective prior is through of maximum entropy prior distributions. For data of organic waste decomposition in the soil, little is known about the probability distributions of the parameters. The present study aimed to use of maximum entropy prior distributions to the parameters of the Stanford & Smith nonlinear model. In addition, using simulated data, to understand the effect that hyperparameters of prior distribution has on the posterior curve, and also to apply the methodology in the description of CO2 mineralization data from swine manure applied to the soil surface. Data analyzed came from an experiment conducted in a laboratory that evaluated the carbon mineralization of swine manure on the soil surface over time. The posterior distributions were obtained, so the bayesian methodology with maximum entropy prior was efficient in the study of the Stanford & Smith nonlinear model to the data of carbon mineralization of swine manure on the soil surface.

10.4025/actascitechnol.v45i1.56360

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Citations (2)

Study on the growth curve of the internal cavity of ‘Dwarf green’ coconut fruits

Figshare (2021)

Thalita Kelen Leal do Prado Taciana Villela Savian Tales Jesus Fernandes Joel Augusto Muniz

ABSTRACT The aim of the work was to evaluate the adjustment of the logistic and gompertz model with structure of first-order autoregressive errors in the study on the ‘Dwarf green’ coconut fruit growth based on longitudinal and cross-sectional internal cavity diameter data (DLCI and DTCI). Model adjustments showed positive residual autocorrelation, according to the Durbin-Watson test and for both variables, DLCI and DTCI, the residue was modeled according to first-order autoregressive process (AR1). The analysis was performed using the least squares method in the PROC MODEL of the SAS software and results indicated that for both characteristics under study, the logistic model was the most appropriate in describing fruit growth and, according to the model, fully developed ‘Dwarf green’ coconut fruits have longitudinal and cross-sections internal cavity diameter of approximately 7.39 cm and 7.60 cm, respectively.

10.6084/m9.figshare.14327004

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Bayesian approach to the zinc extraction curve of soil with sewage sludge

Acta Scientiarum. Technology/Acta scientiarum. Technology (2019)

Edilson Marcelino Silva Thais Destefani Ribeiro Furtado Ariana Campos Frühauf Joel Augusto Muniz Tales Jesus Fernandes

Zinc uptake is essential for crop development; thus, knowledge about soil zinc availability is fundamental for fertilization in periods of higher crop demand. A nonlinear first-order kinetic model has been employed to evaluate zinc availability. Studies usually employ few observations; however, inference in nonlinear models is only valid for sufficiently large samples. An alternative is the Bayesian method, where inferences are made in terms of probability, which is effective even with small samples. The aim of this study was to use Bayesian methodology to evaluate the fitness of a nonlinear first-order kinetic model to describe zinc extraction from soil with sewage sludge using seven different extraction solutions. The analysed data were obtained from an experiment using a completely randomized design and three replicates. Fifteen zinc extractions were evaluated for each extraction solution. Posterior distributions of a study that evaluated the nonlinear first-order kinetic model were used as prior distributions in the present study. Using the full conditionals, samples of posterior marginal distributions were generated using the Gibbs sampler and Metropolis-Hastings algorithms and implemented in R. The Bayesian method allowed the use of posterior distributions of another study that evaluated the model used as prior distributions for parameters in the present study. The posterior full conditional distributions for the parameters were normal distributions and gamma distributions, respectively. The Bayesian method was efficient for the study of the first-order kinetic model to describe zinc extraction from soil with sewage sludge using seven extraction solutions.

10.4025/actascitechnol.v42i1.46893

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Citations (3)

Using the von Bertalanffy Model to Describe Ammonia Volatilization from Conventional and Stabilized Nitrogen Fertilizers in Coffee Crop System

Communications in Soil Science and Plant Analysis (2024)

Felipe Augusto Fernandes Taylor Lima de Souza Henrique José de Paula Alves Tales Jesus Fernandes Joel Augusto Muniz

It has been increasingly important to control N-fertilizers, seeking high efficiency. This study aims to describe, using the von Bertalanffy model, the cumulative losses of nitrogen (N) by ammonia volatilization (NH3-N) from conventional and stabilized N-fertilizers applied in coffee orchard. The experiment was performed in Lavras municipality, Minas Gerais state, Brazil during the 2015/2016 coffee growing season. A randomized block design was used, with seven treatments (stabilized and conventional N-fertilizers) and three fertilizer applications. The evaluated stabilized and conventional N-fertilizers were: 1) prilled urea; 2) ammonium sulfate; 3) urea dissolved in water; 4) ammonium nitrate 5) urea + Cu + B; 6) urea + anionic polymer and; 7) urea + NBPT. Volatilization losses were evaluated, and the highest percentage of NH3-N losses occurred with prilled urea and urea + anionic polymer, with losses greater than 30% of N-applied depending on the number of installments. However, in the 2nd nitrogen fertilization, the von Bertalanffy model did not reach convergence for these treatments, which may have been influenced by the rainfall volume in the period. The lowest NH3-N losses were found for ammonium nitrate and ammonium sulfate, with losses that did not exceed 0.6%. The parameters were all significant and had biological interpretation, and the results will contribute to the development of more efficient fertilizers technologies for farmers. The von Bertalanffy model was adequate to describe the cumulative loss of N by volatilization of ammonia from conventional and stabilized N-fertilizers for coffee crop areas.

Ammonium nitrate

Volatilisation

Ammonium sulfate

Coated urea

10.1080/00103624.2024.2330628

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Morphometric characteristics of the Mangalarga Marchador horse breed determined by nonlinear models

Pesquisa Agropecuária Brasileira (2019)

Felipe Amorim Caetano de Souza Tales Jesus Fernandes Fabiana Oliveira Cunha Rafaela Aparecida Ribeiro Fabiana Rezende Muniz

Abstract: The objective of this work was to evaluate the development of the morphometric characteristics of Mangalarga Marchador horses through nonlinear models. The transversal method was used to collect data on height at the withers (HW), body length (BL), and thoracic (TP) and cannon (CP) perimeters from 200 horses (75 males and 125 non-pregnant females), aged between 6 and 153 months. The parameters of the Brody, Gompertz, logistic, and von Bertalanffy nonlinear models were estimated using the R software. Models were compared and selected using the coefficient of determination, the residual standard deviation, and the corrected Akaike information criterion. For adult females, HW, BL, TP, and CP ranged between 146.45-148.34, 148.59-151.64, 179.07-182.88, and 18.25-18.76 cm, respectively. For males, HW, BL, and CP ranged between 148.55-151.80, 150.77-154.88, and 18.95-19.41 cm, respectively. The logistic model best expresses growth in HW for males and females, as well as in BL and CP for males, whereas the Brody model is the best predictor for HW, BL, TP, and CP for females. The increase in the values of the morphometric measurements is more rapid and homogeneous between the ages of 6 and 24 months, stabilizing at 60 months in both sexes.

Akaike information criterion

Withers

Gompertz function

10.1590/s1678-3921.pab2019.v54.01145

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Citations (7)

Panorama da fase inicial do crescimento dos números de casos e óbitos causados pela COVID-19 no Brasil

Research Society and Development (2020)

Felipe Augusto Fernandes Henrique José de Paula Alves Tales Jesus Fernandes Joel Augusto Muniz

Um surto contínuo de pneumonia associado a um novo coronavírus (COVID-19) foi relatado na cidade de Wuhan na China e rapidamente se espalhou para muitos países, inclusive o Brasil. Como se trata de uma doença muito contagiosa e de rápido agravamento do quadro clínico do paciente, entender como se deu o desenvolvimento dos casos e óbitos nos primeiros dias pode ajudar no planejamento de medidas governamentais, até mesmo para possíveis pandemias futuras. Com isso, o objetivo deste trabalho é apresentar como se deu o crescimento do número de infectados nos primeiros sessenta dias e de mortes confirmadas nos quarenta dias iniciais a partir do primeiro registro, causada pela COVID-19 no Brasil. Foram ajustados modelos de regressão não lineares, com dados foram retirados do Painel Coronavírus do Ministério da Saúde, para modelar estatisticamente como se comportam os dados no período supracitado, e apresentados os mapas que descrevem como se deu a evolução da COVID-19 nos estados brasileiros, até o fim do mês de abril do ano de 2020. Os resultados mostraram que os modelos utilizados (Gompertz e Logístico) foram adequados para explicar o desenvolvimento do número de casos e óbitos da doença em sua fase inicial, sendo que neste período estudado a epidemia ainda não havia alcançado o pico, momento em que tem maior número de casos e óbitos, sendo possível estimar ainda a taxa de crescimento. O mapa mostrou-se adequado para verificar como se deu o crescimento dos casos e mortes nos estados com relação ao período em estudo.

10.33448/rsd-v9i10.8560

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Citations (7)

Modelos duplo sigmoidais na descrição do crescimento de frutos do cafeeiro

Ciência Rural (2017)

Tales Jesus Fernandes Adriele Aparecida Pereira Joel Augusto Muniz

Source

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Study on the growth curve of the internal cavity of ‘Dwarf green’ coconut fruits

Ciência Agronômica/Revista ciência agronômica (2020)

Thalita Kelen Leal do Prado Taciana Villela Savian Tales Jesus Fernandes Joel Augusto Muniz

The aim of the work was to evaluate the adjustment of the logistic and gompertz model with structure of first-order autoregressive errors in the study on the 'Dwarf green' coconut fruit growth based on longitudinal and crosssectional internal cavity diameter data (DLCI and DTCI).Model adjustments showed positive residual autocorrelation, according to the Durbin-Watson test and for both variables, DLCI and DTCI, the residue was modeled according to firstorder autoregressive process (AR1).The analysis was performed using the least squares method in the PROC MODEL of the SAS software and results indicated that for both characteristics under study, the logistic model was the most appropriate in describing fruit growth and, according to the model, fully developed 'Dwarf green' coconut fruits have longitudinal and cross-sections internal cavity diameter of approximately 7.39 cm and 7.60 cm, respectively.

Cocos nucifera

Growth curve (statistics)

10.5935/1806-6690.20200041

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Citations (14)

Blending Controlled-Release and Urease-Inhibitor Technologies as Innovative Solutions to Reduce Ammonia Emissions in Coffee Environments

Soil Systems (2023)

Tainah Freitas Dâmiany Pádua Oliveira Mateus Portes Dutra Pauliana Cristina Zito Estevam Antônio Chagas Reis

Enhanced efficiency fertilizers, such as urea treated with a urease inhibitor, controlled-release fertilizers (CRFs), and fertilizer blends, compose important strategies for improving efficiency in nitrogen (N) use by plants and mitigating ammonia (N-NH3) emissions. The physical mixture of fertilizers in blends can favor synchronization of N-release from the fertilizers and N-uptake by coffee plants and also dilute the costs of acquiring a pure CRF, making fertilizer blends more accessible to growers. To investigate this, a field experiment was conducted over two consecutive crop years with Coffea arabica with the aim of evaluating nitrogen fertilizer technologies at application rates ranging from 0 to 450 kg N ha−1. The fertilizers were characterized, and analyses were performed to quantify N-release from the fertilizers, ammonia volatilization, and nutritional and yield aspects of the coffee plant. The fertilizers used were urea (UCon), urea treated with N-(n-butyl) thiophosphoric-triamide (UNBPT), urea-coated with polymer of the E-Max technology (with 41%N (EMax41) or 43%N (EMax43)), and blends of UNBPT with E-Max (Blend41–Blend43). The cumulative N-release for EMax41 always remained below that for EMax43, just as occurred for Blend41 in relation to Blend43. Over the two crop years, the greatest volatilization of N-NH3 occurred with UCon (~25%) and the least with EMax41 (9%). The results indicate that the technologies mitigated the N-NH3 emissions in relation to UCon [EMax41 (63% mitigation) > Blend41 (43%) > EMax43 (32%) > UNBPT (28%) > Blend43 (19%)]. Crop management affects coffee yield. The yield increase went from 20% in the first crop year to 75% in the second, with better results from fertilizers containing CRF. We present information that can assist fertilizer producers and coffee growers, and, above all, we seek to contribute to environmental action for the reduction of agricultural NH3, clarifying potential strategies for mitigation of these emissions and strategies that generate advances in research on technologies for coffee growing.

Coated urea

Volatilisation

10.3390/soilsystems7040083

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