Un caso único de distrofia muscular facioscapulohumeral tipo 1 y miocardiopatía hipertrófica sarcomérica

© 2017 Sociedad Española de Cardiología. Published by Elsevier España, S.L.U. All rights reserved.info:eu-repo/semantics/publishedVersio

Genotypic variation for carotenoids content and chemometric model development for seed quality parameters in wheat

Published online: 19 August 2015Among the groups of naturally occurring pigments, carotenoids serve numerous purposes in plants, including antioxidant activity and protection of the photosynthetic apparatus from the excess of light. Alongside with essential mineral elements, these pigments are well known to have high impact on human health. Therefore, accumulation of carotenoids in wheat grain is an important trait in view to improving nutritional value of cereals. Wheat is one of the major staple foods in Portugal because of its agronomical adaptability and the usage of its flour into various traditional products. In the present investigation, the seeds of ninety-four Old Portuguese wheat cultivars grown over two years were analysed. Significant genetic variability for content of carotenoids was observed in the studied lines. Within the 47 bread wheat genotypes the Yellow Pigment Content (YPC) values varied from 2.7 - 5.8 μg/g and 3.0 - 8.0 μg/g for 2004/2005 and 2009/2010, respectively. On the other hand, during 2004/2005 and 2009/2010, the 47 durum wheat cultivars exhibited the YPC values from 1.1 - 8.0 μg/g and 3.4 - 8.3 μg/g, respectively. In addition, multivariate methods were also explored to assess the wheat grains quality, resorting to FTIR spectroscopy (Figure 1). Preliminary analyses of FTIR spectra clearly revealed differences among the distinct studied genotypes. Thus, in order to find spectroscopical patterns related to carotenoids accumulation and antioxidant activity, efforts are being made to develop a model that will allow the assessment of these parameters through FTIR, in the near-future

Genomic Template Stability assessed in almond trees of cv. ‘Vairo’ treated with biostimulants and boron-based fertilizers

Almond is highly produced in the NE of Portugal, where late frosts during flowering, low precipitation, and high temperature in summer affect productivity and quality. In addition to late-flowering cultivars, plant biostimulants (PBs) and boron-based fertilizers have been used to improve cell division, vegetative growth, photoassimilates rate, and nutritional status of almond trees. Despite the wide use of PBs in multiple food crops, the scientific evaluation of their effects is scarce. Our team previously analyzed the effects of PBs and boron-based fertilizers in the mitotic cell cycle of almonds and verified the intensification of cell division without significant anomalies. This work focused on the molecular characterization of three-years-old almond trees of cv. ‘Vairo’ was treated with two PBs (based on seaweed extract and free amino acids) and two boron-based fertilizers (applied on soil and leaves) in a rainfed orchard (NE Portugal) using leaf samples collected through the summer of 2019 in treated trees. Three monthly applications of individual PBs based on seaweed extract (AN), amino acids (AA), and boron ethanolamine (BE) and a unique application of boron on the soil (BS) were made. The molecular stability was assayed by comparing with untreated trees using ISSR, RAPD, IRAP, REMAP, and iPBS markers. The molecular data achieved in ‘Vairo,’ under the edaphoclimatic conditions where it was studied, revealed that AA, BE, or BS treatments induced higher molecular stability, corroborating our previous cytogenetic results.This work was supported by National Funds by the FCT – Portuguese Foundation for Science and Technology under the project UIDB/04033/2020. Author AC thanks to the FCT and UTAD for her contract as a researcher under the scope of D.L. no. 57/2016 of 29 August and Law no. 57/2017 of 19 July.info:eu-repo/semantics/publishedVersio

Search for the f(R,T)f(R,T) gravity functional form via gaussian processes

The $f(R,T)$ gravity models, for which $R$ is the Ricci scalar and $T$ is the trace of the energy-momentum tensor, elevate the degrees of freedom of the renowned $f(R)$ theories, by making the Einstein field equations of the theory to also depend on $T$. While such a dependence can be motivated by quantum effects, the existence of imperfect or extra fluids, or even a cosmological ``constant'' which effectively depends on $T$, the formalism can truly surpass some deficiencies of $f(R)$ gravity. As the $f(R,T)$ function is arbitrary, several parametric models have been proposed {\it ad hoc} in the literature and posteriorly confronted with observational data. In the present article, we use gaussian process to construct an $f(R,T)=R+f(T)$ model. To apply the gaussian process we use a series of measurements of the Hubble parameter. We then analytically obtain the functional form of the function. By construction, this form, which is novel in the literature, is well-adjusted to cosmological data. In addition, by extrapolating our reconstruction to redshift $z=0$, we were able to constrain the Hubble constant value to $H_0=69.97\pm4.13$$\rm \ km \ s^{-1} \ Mpc^{-1}$with$5\%$ precision. Lastly, we encourage the application of the functional form herewith obtained to other current problems of observational cosmology and astrophysics, such as the rotation curves of galaxies

Suinocultura: noções básicas.

bitstream/item/58441/1/doc31.pd

Precision of 1-RM prediction equations in non-competitive subjects performing strength training

The purpose of this study was to assess the precision of the 1-RM prediction equations proposed by Adams (1994), Baechle and Groves (2000), Brzycki (1993), Epley (1985), Lander (1985) and O’Conner et al. (1989) for strength assessment in fitness programs. Thirty one healthy regular strength training male practitioners (mean ± SD: 21.8 ± 4.0 years of age; 75.9 ± 8.4 kg of weight; and 178.1 ± 6.4 cm of height) performed two tests on the bench press exercise: (a) maximum test - determination of the 1-RM load; and (b) submaximum test - determination of the load matching 4 to 10 maximum repetitions. Analysis of variance (ANOVA) found no significant difference (p > .05) between maximum load determination through prediction equations or through the 1-RM test. The coefficient of determination (r2) varied from .94 to .96. The prediction equations had small standard error of estimate (2.7 to 3.2 kg). Results indicate that the 1-RM prediction equations could be used to determine the maximum load at the bench press exercise in subjects with low strength training experience