285 research outputs found
Prevalência de alterações no úbere em rebanhos de ovelhas prolíficas e não prolíficas.
Este estudo foi delineado para avaliar o úbere de ovelhas prolíficas e não prolíficas durante o pico da lactação, desmame e antes do acasalamento. Os objetivos foram verificar a prevalência de alterações na glândula e na secreção, investigar seus efeitos no ganho de peso dos cordeiros e ainda de verificar a adequação do momento do exame do úbere nos sistemas de produção
Incidência de alterações no úbere de ovelhas Crioulas.
O objetivo desse estudo é de descrever a prevalência de alterações no úbere de ovelhas Crioulas amamentando e o possível efeito no desenvolvimento de seus cordeiros
Directional field-dependence of magnetoimpedance effect on integrated YIG/Pt-stripline system
We investigated the magnetization dynamics through the magnetoimpedance effect in an integrated YIG/Pt-stripline system in the frequency range of 0.5 up to 2.0 GHz. Specifically, we explore the dependence of the dynamic magnetic behavior on the field orientation by analyzing beyond the traditional longitudinal magnetoimpedance effect of the transverse and perpendicular setups. We disclose here the strong dependence of the effective damping parameter on the field orientation, as well as verification of the very-low damping parameter values for the longitudinal and transverse configurations. We find considerable sensitivity results, bringing to light the facilities to integrate ferrimagnetic insulators in current and future technological applications.This research was funded by CNPq grand numbers 304943/2020-7 and 407385/2018-5,
Capes grand number 88887.573100/2020-00 and FCT grant number CTTI-31/18-CF(2)
Estimates of genetic parameters, growth curve, and environmental effects for Nellore cattle in the Pantanal.
ABSTRACT:The objective was to estimate the growth curves and genetic parameters using random regression methodology for Nellore cattle raised in Pantanal, MS, Brazil (6974 calves; n = 53,233 weights), with at least four weighings per individual. The model considered direct and maternal genetic additives and maternal permanent environmental effects at random. Orthogonal Legendre polynomials of cubic order were used to fit the growth curve. Analyses of variance were performed using the GLM procedure. The model used contained the fixed effects of sex, year of birth, farm, and the covariates calf birth month (linear and quadratic) and cow age at calving (linear and quadratic). The adjusted mean weight at 120 days of age was 93.43 ± 19.78 kg, and for 205 days of age, it was 180.42 ± 26.58 kg. Animals born in the dry season had a higher average weight [kg] (219.57 vs. 211.78, 3.7% higher) and, consequently, had higher weights at 646 days of age. Estimates of direct heritabilities (h2a) ranged from 0.35 to 0.75 (high magnitudes), and maternal heritabilities (h2m) along the trajectory of low magnitudes ranged from 0.03 to 0.08, respectively. The use of random regression to evaluate beef animals allows for adjusting the growth curve and selecting the best animals to be the parents of future generations. RESUMO: O estudo teve como objetivo estimar curvas de crescimento e parâmetros genéticos para Nelore bovinos usando uma metodologia de regressão aleatória. O conjunto de dados incluiu 6.974 bezerros criados no Pantanal, MS, Brasil, e 53.233 registros de peso, com pelo menos quatro pesagens por indivíduo. Os pesos médios aos 120 e 205 dias foram 93,43 kg e 180,42 kg, respectivamente. Os animais nascidos na estação seca tiveram pesos médios mais elevados, levando a pesos mais elevados aos 646 dias. As herdabilidades diretas variaram de 0,35 para 0,75, enquanto as herdabilidades maternas eram baixas (0,03 a 0,08). A regressão aleatória ajusta efetivamente curvas de crescimento e auxilia na seleção de animais superiores para reprodução
Estimating Cotton Yield in the Brazilian Cerrado Using Linear Regression Models from MODIS Vegetation Index Time Series.
Abstract: Satellite remote sensing data expedite crop yield estimation, offering valuable insights for farmers’ decision making. Recent forecasting methods, particularly those utilizing machine learning algorithms like Random Forest and Artificial Neural Networks, show promise. However, challenges such as validation performances, large volume of data, and the inherent complexity and inexplicability of these models hinder their widespread adoption. This paper presents a simpler approach, employing linear regression models fitted from vegetation indices (VIs) extracted from MODIS sensor data on the Terra and Aqua satellites. The aim is to forecast cotton yields in key areas of the Brazilian Cerrado. Using data from 281 commercial production plots, models were trained (167 plots) and tested (114 plots), relating seed cotton yield to nine commonly used VIs averaged over 15-day intervals. Among the evaluated VIs, Enhanced Vegetation Index (EVI) and Triangular Vegetation Index (TVI) exhibited the lowest root mean square errors (RMSE) and the highest etermination coefficients (R2 ). Optimal periods for in-season yield prediction fell between 90 and 105 to 135 and 150 days after sowing (DAS), corresponding to key phenological phases such as boll development, open boll, and fiber maturation, with the lowest RMSE of about 750 kg ha−1 and R 2 of 0.70. The best forecasts for early crop stages were provided by models at the peaks (maximum value of the VI time series) for EVI and TVI, which occurred around 80–90 DAS. The proposed approach makes the yield predictability more inferable along the crop time series just by providing sowing dates, contour maps, and their respective VIs
Construction of a biocompatible and antioxidant multilayer coating by layer-by-layer assembly of -carrageenan and quercetin nanoparticles
The present work aimed at the construction and characterization of a multilayer coating based on -carrageenan and quercetin-loaded lecithin/chitosan nanoparticles (Np) by the layer-by-layer technique and the evaluation of its antioxidant capacity and potential cytotoxicity in vitro. The multilayered coating was successfully self-assembled, as confirmed by UV-Vis spectroscopy, contact angle, atomic force microscopy (AFM), and scanning electron microscopy (SEM). Multilayered coatings showed to have antioxidant capacity, with a DPPH radical scavenging activity of 31.32±3.13% and a result of the FRAP assay of 799.41±95.39 M of ferrous ion (Fe2+) equivalent. These coatings were also shown to be devoid of cell toxicity, as evaluated by determination of nitric oxide production and 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyl tetrazolium bromide (MTT) test. The alveolar macrophages culture was tested in the presence of the -carrageenan/quercetin-Np multilayer coating and showed a cell viability of 91.3±9.6%. These results suggest that this multilayered coating is adequate for surfaces modification in view of biomedical and food industry applications.This work was supported by the Portuguese Foundation for Science and Technology (FCT) under the scope of the strategic funding of UID/BIO/04469/2013 unit, and COMPETE 2020 (POCI-01-0145-FEDER-006684) and BioTecNorte operation (NORTE01-0145-FEDER-000004) funded by the European Regional Development Fund under the scope of Norte2020 - Programa Operacional Regional do Norte. The authors would also like to thank the Brazilian Government for support given by the Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq). Carneiro-daCunha, M.G. expresses her gratitude to the CNPq for research grant.info:eu-repo/semantics/publishedVersio
Dirac-Hestenes spinor fields in Riemann-Cartan spacetime
In this paper we study Dirac-Hestenes spinor fields (DHSF) on a
four-dimensional Riemann-Cartan spacetime (RCST). We prove that these fields
must be defined as certain equivalence classes of even sections of the Clifford
bundle (over the RCST), thereby being certain particular sections of a new
bundle named Spin-Clifford bundle (SCB). The conditions for the existence of
the SCB are studied and are shown to be equivalent to the famous Geroch's
theorem concerning to the existence of spinor structures in a Lorentzian
spacetime. We introduce also the covariant and algebraic Dirac spinor fields
and compare these with DHSF, showing that all the three kinds of spinor fields
contain the same mathematical and physical information. We clarify also the
notion of (Crumeyrolle's) amorphous spinors (Dirac-K\"ahler spinor fields are
of this type), showing that they cannot be used to describe fermionic fields.
We develop a rigorous theory for the covariant derivatives of Clifford fields
(sections of the Clifford bundle (CB)) and of Dirac-Hestenes spinor fields. We
show how to generalize the original Dirac-Hestenes equation in Minkowski
spacetime for the case of a RCST. Our results are obtained from a variational
principle formulated through the multiform derivative approach to Lagrangian
field theory in the Clifford bundle.Comment: 45 pages, special macros kapproc.sty and makro822.te
Antimicrobial activity of Lafoensia pacari phenolics-containing extract against common bean phytopathogens.
Lafoensia pacari represents an alternative to control phytopathogens and common bean (Phaseolus vulgaris L.) diseases. This study aimed to investigate the chemical composition of L. pacari phenolics-containing extract obtained from leaves and assess its in vitro and in vivo inhibitory activity against Curtobacterium flaccumfaciens pv. flaccumfaciens, Xanthomonas axonopodis pv. phaseoli, Xanthomonas fuscans subsp. fuscans,Xanthomonas sp., Colletotrichum lindemuthianum, Fusarium oxysporum and Macrophomina phaseolina. The microbial susceptibility screening and the extract?s potential to reduce the anthracnose severity and the common bacterial blight were examined. Eleven phenolic compounds were identified, eight of which were described for the first time in L. pacari leaves: gentisic, caffeic, p-coumaric, protocatechuic and vanillic acids, luteolin, naringenin and quercetin. The L. pacari extract completely inhibited bacterial growth at the concentration of 0.62-1.25 %, as well as the mycelial growth of the C. lindemuthianum (BRM 007626) isolate at the concentration of 5 % (v/v).Under greenhouse conditions, the extract led to the control of the common bacterial blight caused by X. axonopodis pv. phaseoli (BRM 25302) in the Pérola bean cultivar and to a low efficiency in the control of anthracnose caused by C. lindemuthianum (BRM 007447) in the IPA 7419 cultivar
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