Respiratory activity and physiological performance of maize seeds classified according to their shapes and sizes

Santos, Lucian Alex dos; Pinto, Carolina Cipriano; Szareski, Vinícius Jardel; Carvalho, Ivan Ricardo; Koch, Felipe; Pimentel, João Roberto; Troyjack, Cristian; Dubal, Ítala Thaísa Padilha; Reolon, Fernanda; Rosa, Tiago Corazza da; Santos, Ana Karina do Carmo Ferreira dos; Pedó, Tiago; Martinazzo, Emanuela Garbin; Moraes, Dário Munt de; Schuch, Luis Osmar Braga; Villela, Francisco Amaral; Aumonde, Tiago Zanatta

doi:10.21475/ajcs.18.12.12.p1165

Cited by 2 publications

(1 citation statement)

References 7 publications

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“…Currently, the aim is to increase productivity, however, there are multiple factors that influence this aspect, such as climatic conditions, physical and chemical quality of the soil, appropriate choice of genotype, agroclimatic risk zoning, management techniques, sowing speed, and the depth of seed placement are practices that require some caution. Seed quality as an indirect factor takes into account the obtaining of crops with uniformity, free of pathogens and other species, improving management conditions and, consequently, enhancing the implantation of the crop (Santos et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Bayesian Inference and Prediction Applied to the Positioning of Wheat Yield Grown in Southern Brazil

Schneider¹,

Carvalho²,

Szareski³

et al. 2021

FPBJ

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The best genotype aimed at a favorable environment, biometric alternatives should be applied with clarity to recomend which are the cultivars specific to the macro and micro regions. This work aims to estimate and predict the strategic positioning of wheat genotypes in the triticultural environments of Rio Grande do Sul, using fixed linear, mixed linear and bayesian models. The experimental design used was randomized blocks organized in a factorial scheme, with four crop seasons (2013, 2014, 2015, and 2016), three repetitions x nine growing environments. The AMMI and GGE adaptability and stability models were applied to the three statistical scenarios, defining that scenario I represents the estimates obtained by the fixed linear model, scenario II expresses the estimates and predictions obtained by the mixed linear model and scenario III shows the probabilistic predictions obtained by the Bayesian inference. Estimates of variance components and genetic parameters for wheat grain yield in the state of Rio Grande do Sul are expressed by 15% due to the inherent genetic effects of selecting the best genotype. The growing environments Vacaria -RS, São Gabriel -RS and Cachoeira do Sul -RS Season II revealed the greatest genetic contributions to maximize wheat grain yield regardless of the crop season. The mixed linear model allows the formation of a macroenvironment composed by the São Gabriel -RS and São Luiz Gonzaga -RS environments. Regardless of the model used, the highest grain yields were obtained through the ORS 1402, LG Oro, and Jadeíte 11 genotypes.

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Section: Introductionmentioning

confidence: 99%

Bayesian Inference and Prediction Applied to the Positioning of Wheat Yield Grown in Southern Brazil

Schneider¹,

Carvalho²,

Szareski³

et al. 2021

FPBJ

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Analysis of the Geometric Constraints Employed in Constructal Design for Oscillating Water Column Devices Submitted to the Wave Spectrum through a Numerical Approach

Gomes

Deus

Santos

et al. 2019

DDF

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This paper aims a numerical investigation about the fluid dynamic behavior of an oscillating water column (OWC) wave energy converter (WEC) into electrical energy. Constructal design is employed to perform a geometric evaluation of an OWC WEC submitted a Pierson-Moskowitz wave spectrum. The objective function is to maximize the energy conversion. The hydropneumatic chamber volume (VHC) and the total OWC volume (VT) are adopted as geometric constraints. In the first stage, the values are constant during the maximization process. However, in a second stage they are changed according to the constraint variation (CV). One of the goals is to analyze the influence of the choice of this geometric constraints value on the OWC performance in relation to the wave spectrum. For this purpose, are considered three different scenarios: 1)VHydis equal to the minimum incident wavelength (λmin), that is relative to the maximum frequency of the wave spectrum times the significant wave height (HS); 2)VHydis equal to the peak incident wavelength (λpeak), that is relative to peak frequency of the wave spectrum times the significant wave height (HS); and 3)VHydis equal to the maximum incident wavelength (λmax), that is relative to minimum frequency of the wave spectrum times the significant wave height (HS). To do so, constructal design is employed varying the degree of freedom (DOF)H1/L(ratio between the height and length of OWC chamber), while the others DOF’sH2/l(ratio between height and length of chimney) andH3(lip submergence), are kept fixed. It is employed a Pierson-Moskowitz wave spectrum with significant period (TS) equal to 7.5 s and significant wave height (HS) equal to 1.5 m. For the numerical solution it is used the computational fluid dynamic (CFD) code, based on the finite volume method (FVM). The multiphase volume of fluid (VOF) model is applied to tackle with the water-air interaction. The computational domain is represented by the OWC WEC coupled with the wave tank. The results showed that whenCV= 2.25 forλmaxand (H1/L)O= 0.2152 the highest average for power was obtained, nearly 18,000 W. While forλminand (H1/L)O= 0.2193 it was smaller than 1,000 W. Besides, it was obtained a theoretical recommendation about the geometric constraints employed for the constructal design application, aiming the maximization of the OWC energy conversion from the incident wave spectrum.

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Respiratory activity and physiological performance of maize seeds classified according to their shapes and sizes

Cited by 2 publications

References 7 publications

Bayesian Inference and Prediction Applied to the Positioning of Wheat Yield Grown in Southern Brazil

Bayesian Inference and Prediction Applied to the Positioning of Wheat Yield Grown in Southern Brazil

Analysis of the Geometric Constraints Employed in Constructal Design for Oscillating Water Column Devices Submitted to the Wave Spectrum through a Numerical Approach

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