Comparação entre modelos para predição do nitrogênio mineralizado: uma abordagem bayesiana

Pereira, Janser Moura; Muniz, Joel Augusto; Sáfadi, Thelma; Silva, Carlos Alberto

doi:10.1590/s1413-70542009000700016

Cited by 5 publications

(4 citation statements)

References 12 publications

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“…The C i in the equations (1), (2), and (3) defines the mean value of the amount of mineralized carbon in the times i t in days; C 0 indicates the value of the amount of potentially mineralizable carbon; C 1 is the amount of easily mineralizable carbon; k, k 1 , k 0 are mineralization rates; v is the half-life time; t i is the time of the ith evaluation, expressed in days (PEREIRA et al, 2005;PEREIRA et al, 2009). The half-life time (v) of potentially mineralizable carbon for the Stanford and Smith model, and of easily mineralizable carbon for the Cabrera model was estimated by v = ln(2)/k, and v = ln(2)/k 1, respectively.…”

Section: Methodsmentioning

confidence: 99%

Comparison of nonlinear models for the description of carbon mineralization in soils treated with pig slurry

Paula

Silva²,

Furtado³

et al. 2020

R. Agrogeoambiental

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One of the strategies to reduce environmental impacts caused by pig slurry is its application to soils for agricultural productions. Carbon mineralization curves can be used to determine the best periods for the use of organic matter for an adequate management of soils and growing plants. The objective of this study was to evaluate the fit of nonlinear models for soil carbon mineralization. The experiment was conducted using a randomized block design with four replications and four treatments. The treatments consisted of monthly applications of pig slurry at rates of 0, 7.5, 15.0, and 30.0 m3 ha-1 ofpig slurry. Soil samples were collected and incubated for 26 days; then, seven observations of mineralized carbon volume were made over time. The description of the carbon mineralization followed the Stanford and Smith, Cabrera, and Juma models, considering the structure of autoregressive errors AR (1), when necessary; the fits were compared using the Akaike Information Criterion (AIC). The description of carbon mineralization in the treatments by nonlinear models was, in general, adequate. Juma was the most adequate model to describe the treatment with rate of 0. Stanford and Smith was the most adequate model to describe the treatments with rates of 7.5 and 15.0 m3 ha-1. Cabrera was the most adequate model to describe the treatment with rate of 30.0 m3 ha-1.

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Section: Methodsmentioning

confidence: 99%

Comparison of nonlinear models for the description of carbon mineralization in soils treated with pig slurry

Paula

Silva²,

Furtado³

et al. 2020

R. Agrogeoambiental

Self Cite

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“…As plausible examples it can be mentioned nonlinear regression models to predict soil nitrogen mineralization, in [67,68] models of potassium release from various sources of organic residue in Latosol, in [101] extraction of zinc from sewage sludge, in [95] as well as the nonlinear model of Genuchten, in [36] which is the most used worldwide to describe the soil water retention.…”

Section: For Linear Models There Is An Analytical Solution For the Esmentioning

confidence: 99%

Relations of Clay Fraction Mineralogy, Structure and Water Retention in Oxidic Latosols (Oxisols) from the Brazilian Cerrado Biome

Carducci¹,

Oliveira²,

Curi³

et al. 2012

Clay Minerals in Nature - Their Characterization, Modification and Application

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“…De acordo com Pereira (2006), cada uma das componentes pode ser uni ou multidimensional e tem sua distribuição condicional completa dada pela distribuição da iésima componente de condicionada a todas as demais componentes. Sua expressão pode ser obtida a partir da distribuição conjunta da seguinte forma:…”

Section: Obtenção Das Distribuições Posterioris Condicionais Completasunclassified

Ajuste de modelos de degradabilidade ruminal por meio da técnica de produção de gases utilizando as metodologias clássica e bayesiana

Souza¹

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Adjustment of ruminal degradability models applying the technique of gas production by using classical and Bayesian methodologiesGiven the national agricultural power and knowing that grazing plays an important role in animal nutrition, it becomes primordial to study the mechanisms of ruminal digestion of forages, for a more rational use of pastures by the animals, providing an optimal rumen fermentation and allowing a more adequate and balanced feed. This approach is possible by using the rumen degradation models, which are classified as non-linear regression models. This essay discusses the classical and Bayesian methods to adjust the models that describe the kinetics of degradation by rumen gas production technique. In the classical approach, the "Non Sigmoidal models", proposed by Orskov& McDonald (1979), the "Logistic", proposed by Schofield (1994), and "Gompertz", proposed by Lavrencic (1997), were considered, taking into account the need for autoregressive factors of first and second order, by the "likelihood ratio test " (TRV). These models were evaluated using the Akaike criteria (AIC), the coefficient of determination adjusted (R2aj) and "the residual average square" (QMR). In the following stage, the adjustment of the non sigmoidal model without the autoregressive factor were performed, using the Bayesian approach. For these matters, the condition of the convergence of chains was analyzed using Geweke (1992), Heidelberger & Welch (1993), Raftery& Lewis (1992) and Monte Carlo error(EMC) criteria.Among the models used, the one that best settle to the data analyzed was the non sigmoidal model without the autoregressive factor, proposed by Orskov and McDonald (1979), obtaining consistent estimates with the reality of the phenomenon. The results obtained through the Bayesian approach were also satisfactory, showing that the technique, although less diffused in studies of rumen methodology, is very viable and has a lot to add in these area studies.

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Comparação entre modelos para predição do nitrogênio mineralizado: uma abordagem bayesiana

Cited by 5 publications

References 12 publications

Comparison of nonlinear models for the description of carbon mineralization in soils treated with pig slurry

Comparison of nonlinear models for the description of carbon mineralization in soils treated with pig slurry

Relations of Clay Fraction Mineralogy, Structure and Water Retention in Oxidic Latosols (Oxisols) from the Brazilian Cerrado Biome

Ajuste de modelos de degradabilidade ruminal por meio da técnica de produção de gases utilizando as metodologias clássica e bayesiana

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