Contribuição da heterogeneidade de linhas de regressão para a recomendação de novas cultivares

O objetivo deste trabalho foi evidenciar a contribuição da análise da heterogeneidade das linhas de regressão para a recomendação de novas cultivares, pela metodologia de Eberhart & Russell. Um experimento com dez genótipos de arroz, avaliados em oito ambientes, foi utilizado para ilustração da metodologia. Utilizou-se o delineamento de blocos ao acaso com três repetições. A soma dos quadrados da interação genótipo x ambiente (GxA) foi decomposta para avaliação da heterogeneidade das linhas de regressão e dos desvios acumulados da linearidade. A heterogeneidade das linhas de regressão foi analisada com o uso do teste t sobre os coeficientes de regressão linear dos genótipos. Os dois componentes ortogonais da interação GxA foram significativos. A análise da heterogeneidade das linhas de regressão permitiu detectar incoerências na adaptabilidade dos genótipos, o que diminui as chances de recomendações equivocadas de cultivares. Os genótipos foram classificados de acordo com a eficiência da metodologia de Eberhart & Russell em explicar a natureza do desempenho genotípico diante das mudanças nos ambientes. A avaliação da heterogeneidade das linhas de regressão contribui para a recomendação mais efetiva de novas cultivares com a metodologia de Eberhart & Russell

A list of land plants of Parque Nacional do Caparaó, Brazil, highlights the presence of sampling gaps within this protected area

Brazilian protected areas are essential for plant conservation in the Atlantic Forest domain, one of the 36 global biodiversity hotspots. A major challenge for improving conservation actions is to know the plant richness, protected by these areas. Online databases offer an accessible way to build plant species lists and to provide relevant information about biodiversity. A list of land plants of “Parque Nacional do Caparaó” (PNC) was previously built using online databases and published on the website "Catálogo de Plantas das Unidades de Conservação do Brasil." Here, we provide and discuss additional information about plant species richness, endemism and conservation in the PNC that could not be included in the List. We documented 1,791 species of land plants as occurring in PNC, of which 63 are cited as threatened (CR, EN or VU) by the Brazilian National Red List, seven as data deficient (DD) and five as priorities for conservation. Fifity-one species were possible new ocurrences for ES and MG states

Optimized design of RC deep beams based on performance metrics applied to strut and tie model and in-plane stress conditions

Abstract Deep beams do not behave according to classical beam theory. The nonlinearity of strain distribution within these elements requires application of strut and tie models (STM) or other alternatives to evaluate the complex stress field. Although the design of these elements is a common task for structural engineers, limited research is found on assessing effectiveness of the results. The purpose of this work is to compare, in a systematic approach, different design solutions for a deep beam using selected performance metrics which are strain energy, reinforcement ratio, maximum load, structural efficiency, safety factor and cracking behavior. A deep beam (2.85 m of height, 4.20 m of length and 0.2 m of thickness) with a square opening (0.7 m x 0.7 m) close to one of the supports was subjected to a uniform loading at the top surface while resting on supports at both ends. A simplified finite element model (FEM) of this beam was developed simulating concrete with elastic linear stress-strain behavior and disregarding steel reinforcements. This model allowed determination of elastic stress fields necessary to subsequent analyses. Four STM were then developed, supposing the total load respectively represented by one (STM-1), two (STM-2), four (STM-4) or eight (STM-8) concentrated loads equally spaced along the top of the beam. Additionally, an in-plane stress field method (SFM) was applied to the design of the same beam subjected to uniform loading on the top surface. After design and detailing of the reinforcement for each situation, nonlinear FEMs were used to predict the ultimate conditions. The strain energy reduced significantly comparing results from STM-1 to STM-2 and subsequently to STM-4 and remained at a low level in STM-8 and SFM. The reinforcement ratio reduced systematically from STM-1 to STM-8, was minimum with the SFM and the same behavior was followed by maximum load. The structural efficiency (maximum load/reinforcement ratio) increased from STM-1 to STM-8, with maximum efficiency at STM-8 and was slightly below with SFM. The safety factor reduced systematically from STM-1 to STM-8 and was slightly lower with SFM, but in all cases was above acceptable limits found in design codes.</div