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Cardiovascular disease risk factor profiles in children with celiac disease on gluten-free diets

World Journal of Gastroenterology 2013年第34期19卷 5658-5664页

作者： Lorenzo Norsa Raanan Shamir Noam Zevit Elvira Verduci Corina Hartman diana ghisleni Enrica Riva Marcello Giovannini Department of Pediatrics San Paolo Hospital University of Milan Institute of Gastroenterology Nutrition and Liver DiseasesSchneider Children’s Medical Center of Israel Sackler Faculty of Medicine Tel-Aviv University Marcello Giovannini Università degli Studi di Milano

AIM:To describe the cardiovascular disease(CVD)risk factors in a population of children with celiac disease(CD)on a gluten-free diet(GFD).METHODS:This cross-sectional multicenter study was performed at Schneider Children’s Medical Center of Israel(Petach Tiqva,Israel),and San Paolo Hospital(Milan,Italy).We enrolled 114 CD children in serologic remission,who were on a GFD for at least one *** enrollment,anthropometric measurements,blood lipids and glucose were assessed,and compared to values at *** homeostasis model assessment-estimated insulin resistance was calculated as a measure of insulin ***:Three or more concomitant CVD risk factors[body mass index,waist circumference,low density lipoprotein(LDL)cholesterol,triglycerides,blood pressure and insulin resistance]were identified in 14%of CD subjects on a *** most common CVD risk factors were high fasting triglycerides(34.8%),elevated blood pressure(29.4%),and high concentrations of calculated LDL cholesterol(24.1%).On a GFD,four children(3.5%)had insulin *** insulin and HOMA-IR were significantly higher in the Italian cohort compared to the Israeli cohort(P<0.001).Children on a GFD had an increased prevalence of borderline LDL cholesterol(24%)when compared to values(10%)at diagnosis(P=0.090).Trends towards increases in overweight(from 8.8%to 11.5%)and obesity(from 5.3%to 8.8%)were seen on a ***:This report of insulin resistance and CVD risk factors in celiac children highlights the importance of CVD screening,and the need for dietary counseling targeting CVD prevention.

关键词： Celiac disease Cardiovascular disease risk factors Gluten-free diet Insulin resistance Children Hyperlipidemia Cholesterol

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The Dynamics of Relation Oat Panicle with Grain Yield by Nitrogen

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American Journal of Plant Sciences 2016年第1期7卷 17-27页

作者： Rubia diana Mantai José Antonio Gonzalez da Silva Emilio ghisleni Arenhardt Airam Tereza Zago Romcy Sausen Manuel Osório Binello Vidica Bianchi Dionatas Rodrigues da Silva Luiz Michel Bandeira Department of Exact Sciences and Engineering Regional University of the Northwest of Rio Grande do Sul State Ijuí Brazil Department of Agrarian Studies Regional University of the Northwest of Rio Grande do Sul State Ijuí Brazil Department of Crop Plants Federal University of Rio Grande do Sul Porto Alegre Brazil Department of Life Sciences Regional University of the Northwest of Rio Grande do Sul State Ijuí Brazil

The oat panicle components were changed by the forms of nitrogen use influencing productivity. The aim of the study was to determine the direct and indirect effects of oat panicle components on grain yield by N-fertilizer rates in succession systems of high and reduced release of N-residual. The study was conducted in the years 2013 and 2014 in a randomized complete block with four replications in a factorial 3 × 2, for nitrogen rates (30, 60 and 120 kg·ha-1) and oat cultivars (Barbarasul and Brisasul) the soybean/oat and corn/oat systems. The panicle weight and grain per panicle show greater sensitivity to the change of nitrogen rates. Grain yield was favored by the direct effect of harvest index panicle and indirect by grain weight per panicle. In the system soybean/ oat, the grain weight of panicle shows greater efficiency in promoting positive direct effects on grain yield.

关键词： Avena sativa L. Ureia Relation C/N Correlation and Path Analysis

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Adaptability and Stability of Yield and Industrial Grain Quality with and without Fungicide in Brazilian Oat Cultivars

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American Journal of Plant Sciences 2015年第9期6卷 1560-1569页

作者： José Antonio Gonzalez da Silva Maisa Didoné Wohlenberg Emilio ghisleni Arenhardt Antonio Costa de Oliveira Gustavo Mazurkievicz Mariele Müller Lorenzo ghisleni Arenhardt Manuel Osorio Binelo Guilherme Arnold Rafael Pretto Department of Agrarian Studies Regional University of the Northwest of Rio Grande do Sul Ijuí Brazil Department of Crop Plants Federal University of Rio Grande do Sul Porto Alegre Brazil Faculty of Agronomy EliseuMaciel Federal University of Pelotas Pelotas Brazil Faculty of Agronomy University of Passo Fundo Passo Fundo Brazil Department of Exact Sciences and Engineering Regional University of the Northwest of Rio Grande do Sul Ijuí Brazil

The use of productive cultivars with adaptability and stability and less demanding to fungicide use are critical to the sustainability of production factors. The objective of this work was to determine the per se performance of white oat cultivars and parameters of adaptability and stability on yield and grain quality in the proposition of cultivars more responsive in reducing the use fungicide. The study was conducted in Augusto Pestana, RS, Brazil, between the years 2010 and 2013. The experimental design was randomized blocks with six replicates, three with and three without fungicide. The study evaluated 14 white oat cultivars for yield and industrial capability. The white oat cultivars FAEM 4 Carlasul and URS Corona indicate high grain yield with stability and general adaptability, independent of chemical control. The cultivar URS Corona shows together high yield and thousand grain weight and hectoliter with general adaptability and stability in the absence of fungicide. Although no stability has been detected in industrial yield without the use of fungicides, cultivars of URS Charrua, URS Corona and URS Taura show high means with general adaptability.

关键词： Avena sativa L. Grain Quality Fungicide Climatic Variations

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A Proposal of Oat Productivity Simulation by Meteorological Elements,Growth Regulator and Nitrogen

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American Journal of Plant Sciences 2017年第9期8卷 2101-2118页

作者： Anderson Marolli José Antonio Gonzalez da Silva Osmar Bruneslau Scremin Rúbia diana Mantai Ana Paula Brezolin Trautmann Angela Teresinha Woschinski de Mamann Roberto Carbonera Adriana Roselia Kraisig Cleusa Adriane Menegassi Bianchi Krüger Emilio ghisleni Arenhardt Department of Exact Sciences and Engineering Regional University of the Northwestern of Rio Grande do Sul State(UNIJUí)IjuiBrazil Department of Agrarian Studies Regional University of the Northwestern of Rio Grande do Sul State(UNIJUí)IjuiBrazil Department of Crop Plants Federal University of Rio Grande do Sul(UFRGS)Porto AlegreBrazil

The simulation of oat grain productivity does not contemplate the use of efficient models that involve important management with meteorological elements. The objective of the study is to propose a mathematical model capable of simulating the oat grain productivity through the management of nitrogen and growth regulator with variables related to the plant and to meteorological elements. In this study, two experiments were conducted in the years of 2013, 2014 and 2015: one to quantify biomass productivity and another to determine grain productivity and lodging at the management doses of nitrogen and growth regulator. The experimental design was a randomized block with four replications in a 4 × 3 factorial scheme for 0, 200, 400 and 600 mL·ha-1 growth regulator doses and 30, 90 and 150 kg·ha-1 nitrogen doses, respectively. During the crop cycles, the meteorological variables thermal sum, radiation and rainfall were quantified. The mathematical model proposed, which combines polynomial regression of the harvest index with multiple linear regression of the biological productivity, is efficient in the simulation of oat grains productivity with the use of growth regulator, nitrogen and meteorological elements. Thus, it adds to the conventional models of simulation and becomes an aid tool for making decisions regarding the management of oats culture.

关键词： Avena sativa Biomass Lodging Trinexapac-Ethyl Regression

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