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3D soil void space lacunarity as an index of degradation after land use change Agronomy
Santos, Carlos Renato dos; Antonino, Antônio Celso Dantas; Heck, Richard John; Lucena, Leandro Ricardo Rodrigues de; Oliveira, Alex Cristóvão Holanda de; Silva, Antonio Samuel Alves da; Stosic, Borko; Menezes, Romulo Simões Cezar.
In this work, lacunarity analysis is performed on soil pores segmented by the pure voxel extraction method from soil tomography images. The conversion of forest to sugarcane plantation was found to result in higher sugarcane soil pore lacunarity than that of native forest soil, while the porosity was found to be lower. More precisely, this study shows that native forest has more porous soil with a more uniform spatial distribution of pores, while sugarcane soil has lower porosity and a more heterogeneous pore distribution. Moreover, validation through multivariate statistics demonstrates that lacunarity can be considered a relevant index of clustering and can explain the variability among soils under different land use systems. While porosity by itself...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Lacunarity; Soil porosity; Impact of land use change. lacunarity soil porosity impact of land use change.
Ano: 2020 URL: http://periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/42491
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Adjusting weight growth curve of male quails Coturnix japonica reared in the semi-arid region of the State of Pernambuco Animal Sciences
Lucena, Leandro Ricardo Rodrigues de; Holanda, Marco Aurélio Carneiro de; Holanda, Mônica Calixto Ribeiro de; Anjos, Marcelo Lopes dos.
This study adjusted different regression models to describe the growth pattern of meat quails from birth to 42 days of age. Data of 300 male quails were used. Weight and height information of all quails were collected weekly from the 1st to the 42nd day of age. Body weight of poultry was subjected to the polynomial, logistic, Gompertz, Weibull, and log-normal regression models. The criteria used to choose the best model to explain the growth curve of quails were the coefficient of determination of the model, Akaike’s information criterion, sum of squared residuals and Willmott’s index. For all the models used, the variables age and height were significant to explain the weight of quails. The polynomial (R² = 99.99%, AIC = 24.68, SSR = 27.5, d = 0.9999) and...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Modelling; Poultry; Regression model..
Ano: 2018 URL: http://periodicos.uem.br/ojs/index.php/ActaSciAnimSci/article/view/42563
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Digestible lysine requirement for European laying quail Animal Sciences
Severo, Teófilo Izidio de Morais; Holanda, Marco Aurélio Carneiro de; Holanda, Mônica Calixto Ribeiro de; Lucena, Leandro Ricardo Rodrigues de; Dutra Junior, Wilson Moreira.
The experiment was carried out to evaluate the productive performance of European quails (Coturnix coturnix) in the production phase, fed with diets containing different levels of digestible lysine. A total of 175 female quails, aged 65 days, were randomly distributed in a completely randomized design with five treatments and five replicates per treatment. The animals were housed in 25 metal cages, and each cage represented an experimental parcel, with seven birds per parcel. The birds were fed the experimental rations containing 1.177, 1.217, 1.317, 1.417, and 1.517% digestible lysine. The parameters evaluated were: laying rate, mass of eggs produced, feed intake in the period, lysine intake, feed conversion per dozen and per mass. Significant differences...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Feed intake; Nutrition; Amino acids..
Ano: 2019 URL: http://periodicos.uem.br/ojs/index.php/ActaSciAnimSci/article/view/46070
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Leaf area estimate of Pennisetum glaucum by linear dimensions Animal Sciences
Leite, Mauricio Luiz de Mello Vieira; Lucena, Leandro Ricardo Rodrigues de; Cruz, Manoela Gomes da; Sá Júnior, Eduardo Henrique de; Simões, Vicente José Laamon Pinto.
Leaf area measurements are of the main parameters used in agronomic studies to evaluate plant growth. The current study used a non-destructive method based on linear leaf dimensions (length and width) to select the regression model to estimate millet (Pennisetum glaucum) leaf area. For two millet genotype (IPA BULK 1 BF and ADR 300) 128 randomly-chosen leaves were measured at different vegetative growth stages. Measures of length and width of each leaf were made using digital calipers. Leaf area was measured using a gravimetric method. The best-fit leaf area estimation model was selected via linear, potential and gamma regression models. Leaf area values varied from 3.02 to 209.21 cm2. The average value was 95.31 cm2. The potential regression model...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Leaf blade; Millet; Modeling; Non-destructive method..
Ano: 2019 URL: http://periodicos.uem.br/ojs/index.php/ActaSciAnimSci/article/view/42808
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