Inferência bayesiana da conversão alimentar em diferentes experimentos animais

Rossi, Robson Marcelo; Martins, Elias Nunes; Lopes, Paulo Sávio; Silva, F. F.; Marcondes, Marcos Inácio; Caetano, G.C.; Junior, Homem; Knupp, Leonardo Sidney; Ferreira, M. A.

doi:10.1590/1678-4162-8121

Cited by 3 publications

(1 citation statement)

References 17 publications

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“…In these cases, the relationship between an independent variable and a binary (dichotomous) dependent variable can be established using a binomial regression model. The Bayesian approach allows flexible modeling and is appropriate for obtaining posterior probabilities, especially when frequentist assumptions are not satisfied (Pires and Diniz 2012;Rossi et al 2015).…”

Section: Introductionmentioning

confidence: 99%

Shade-seeking behavior and grazing activity of Pantaneira and Girolando heifers

Lima

Silva

Rossi

et al. 2020

Trop Anim Health Prod

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This study aimed to model and compare the shade-seeking behavior and grazing activity of Pantaneira and Girolando heifers by time of day. Eight heifers were used, four Pantaneira and four Girolando ( 3 / 4 Holstein × 1 / 4 Gir). The animals were about 18 months old and weighed 328 ± 14 kg (Pantaneira) and 430 ± 28 kg (Girolando). Shade-seeking behavior and grazing activity were recorded during the summer from 06:00 to 18:00 h in 10-min intervals, totaling 288 observations for each breed. A binary regression model was developed by means of a Bayesian approach considering logit, probit, cloglog, and Cauchy link functions. The most parsimonious model was constructed using the Cauchy function. The variables varied according to the time of day. Heifers of both breeds were more likely to graze toward the end of the day, when ambient temperatures were lower. Girolando heifers were more likely to seek shade between 06:00 and 14:00 h. From 12:00 to 13:00, the probability of seeking shade between breeds differed 22 percentage points. Pantaneira heifers were more likely to graze from 06:00 to 13:00 h, and their probability of grazing at 11:00 h was 21 percentage points higher than that of Girolando heifers. The results suggest that Pantaneira heifers are more heat-tolerant.

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Section: Introductionmentioning

confidence: 99%

Shade-seeking behavior and grazing activity of Pantaneira and Girolando heifers

Lima

Silva

Rossi

et al. 2020

Trop Anim Health Prod

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Evaluation of Bayesian models for analysis of crude protein requirement for pigs of Brazilian Piau breed

Silva

Ferreira

et al. 2019

Sci. agric. (Piracicaba, Braz.)

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We evaluated the inclusion of information on genetic relationship into the analysis of crude protein requirement in diets for pigs of Brazilian Piau breed, using Bayesian inference.The animals were assigned to treatments in a completely randomized design in factorial scheme 4 × 2 (crude protein levels × sex) with 12 repetitions per treatment. The evaluations were carried out in the initial, growing and finishing phases, and after slaughter. The traits evaluated were feed conversion (FC), backfat thickness (BF), daily weight gain (DWG), daily feed intake (DFI) and some carcass cuts. Three models were considered to evaluate the inclusion of information on genetic relationship into the analysis: Model I, a simple linear model; Model II, the same effects of Model I with addition of the independent random effect of animal; and Model III, the same effects of Model II, but including the genetic relationship between the animals. Model III presented the best fit and was considered for later inferences. Crude protein (CP) levels did not significantly influence any of the evaluated traits. The effect of sex was significant only for the growing phase, while its interaction with protein levels presented an opposite result for all evaluated traits. Additionally, CP levels of 10.2 %, 9.6 % and 9.0 % can be used in diets for pigs of Brazilian Piau breed in the initial, growing and finishing phases, respectively.

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Frequentist and Bayesian inference for gas exchanges of drip-irrigated bell pepper1

Santos

Rezende

Wenneck

et al. 2021

Pesqui. Agropecu. Trop.

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The water deficit or excess may cause undesirable changes in yield and physiological aspects of irrigated crops. Considering the analysis of experimental data, the use of classical statistical methods may not be sufficient to detect morphological and physiological effects resulting from the conditions employed, being interesting the use of new procedures, such as the Bayesian inference. This study aimed to evaluate the gas exchanges in the bell pepper crop under irrigation depths and different irrigation times, in a protected environment, by applying the parametric and Bayesian methods. The experiment was conducted in a completely randomized design, arranged in a 5 x 2 factorial scheme, with five irrigation depths (60, 80, 100, 120 and 140 % of the crop evapotranspiration) and two irrigation times (8 a.m. and 2 p.m.), with five replications. The stomatal conductance, transpiration rate, photosynthetic rate, intrinsic water-use efficiency, ratio between the photosynthetic rate and the transpiration rate, and total dry matter were evaluated. The gas exchanges were affected by water replacement depths, with little interference from the irrigation times. The linear regression models, according to the irrigation depths, for transpiration rate, stomatal conductance and total dry matter were significant for both the statistical methods, suggesting that the results are similar and even coincident, especially when a priori information are not provided in the Bayesian analysis. Differences in the photosynthetic rate were observed only with the Bayesian method, adjusting linear models according to the irrigation depths, in both the irrigation times.

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Inferência bayesiana da conversão alimentar em diferentes experimentos animais

Cited by 3 publications

References 17 publications

Shade-seeking behavior and grazing activity of Pantaneira and Girolando heifers

Shade-seeking behavior and grazing activity of Pantaneira and Girolando heifers

Evaluation of Bayesian models for analysis of crude protein requirement for pigs of Brazilian Piau breed

Frequentist and Bayesian inference for gas exchanges of drip-irrigated bell pepper1

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