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

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time, and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space. While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes, vast areas of the tropics remain understudied. In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity, but it remains among the least known forests in America and is often underrepresented in biodiversity databases. To worsen this situation, human-induced modifications may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge, it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost

Nonlinear elastic brittle damage: numerical solution by means of operator split methods

The avoid the loss of well-posedness in the post localization range, some continuum damage theories for elastic materials introduce higher order gradients of the damage variable into constitutive model. Although such theories allow for mathematically correct modelling of the strain localization phenomena, they are usually considered to be very complex to handle from the numerical point of view. The present work deals with the numerical implementation of a gradient-enhanced damage theory for elastic materials. A simple numerical technique, based on the finite element method, is proposed to approximate the solution to the resulting nonlinear mathematical problems. The coupling between damage and strain variables is circumvented by means of a splitting technique.Celem poprawności sformułowania problemu w pewnych teoriach zniszczenia do modelu konstytutywnego materiałów sprężystych wprowadza się wyższe gradienty zmiennych opisujących zniszczenie. Chociaż teorie takie umożliwiają matematycznie poprawne modelowanie zjawisk lokalizacji odkształceń, to z punktu widzenia numeryki stosowanie ich uważa się zwykle za bardzo skomplikowane. W niniejszej wersji przedstawiono zastosowanie numeryczne teorii zniszczenia z wyższymi gradientami do materiałów sprężystych. Do przybliżonego rozwiązania otrzymanych nieliniowych zadań matematycznych zaproponowano prostą metodę numeryczną opartą na metodzie elementów skończonych. Użycie metody operatorowej pozwoliło uniknąć sprężenia między zmiennymi opisującymi zniszczenie i odkształcenie

Zoeal morphology of Pachygrapsus transversus (Gibbes) (Decapoda, Grapsidae) reared in the laboratory

Ovigerous females of Pachygrapsus transversus (Gibbes, 1850) were collected on the Praia Dura and Saco da Ribeira beaches, Ubatuba, São Paulo, Brazil. Larvae were individually reared in a climatic room at 25ºC temperature, salinities of 28, 32 and 35‰ and under natural photoperiod conditions. The best rearing results were observed at 35%o salinity. Seven zoeal instars were observed, drawing and described in detail. The data are compared with those obtained for P. gracilis (Saussure, 1858)