Antioxidant activity and acute toxicity of Neoglaziovia variegata (Bromeliaceae)

Antioxidant activities of Neoglaziovia variegata were evaluated by using 2,2-diphenyl-1-picrylhydrazyl (DPPH) radical scavenging and β-carotene-linoleic acid bleaching and was compared with ascorbic acid, butylated hydroxyanisole (BHA) and butylated hydroxytoluene (BHT). The total phenolics content of the extracts was determined by the Folin-Ciocalteu method. Total flavonoid was also determined. The most significant total phenolic content was of 543.50 ± 9.38 mg of gallic acid equivalent/g for ethyl acetate extract (AcOEt), which presented the best antioxidant activity (IC50 5.08 ± 0.20 μg/ml) for DPPH scavenging. The acute toxicity of Nv-EtOH was performed 2.0 g/kg intraperitoneally and 5.0 g/kg orally in mice. No mortality and no toxicity signs were observed, indicating low toxicity of the extract. Blood was removed after 14 days for laboratory analysis of hematological and biochemical parameters. Alterations of aspartate aminotransferase (AST) and creatinine were observed. The data obtained showed that the doses induced microscopic alterations in the liver and kidney. In conclusion, the Nv-EtOH can be considered of low toxicity.Keywords: Antioxidant activity, acute toxicity, Neoglaziovia variegata, Bromeliacea

Prova de ganho em peso (PGP) de búfalos na Amazônia / Gain weight by weight (PGP) of buffalos in the Amazon

A prova de ganho em peso representa um importante instrumento para avaliação da performance animal, como suporte à seleçãoe a utilização do búfaloem provas de desempenho tem como finalidade o melhoramento da espécie, tendo em vista seu crescimento no mercado. O experimento foi conduzido na Central de Biotecnologia de Reprodução Animal - CEBRAN, localizado no município de Castanhal, utilizando11 animais das raças Murrah e Mediterrâneo durante um período de 154 dias. Objetivou-se com este trabalho identificar animais com maior desempenho para serem multiplicadores de material genético. Os animais classificados Elites e Superiores possuem características produtivas acima da média, em comparação aos demais e, potencialmente, podem ser utilizados como reprodutores. 

Genotype by environment interaction in Nellore cattle from Amazon Legal region

A interação genótipo-ambiente (IGA) foi estudada por meio de dois procedimentos distintos, em características produtivas e reprodutivas de bovinos da raça Nelore. Dados de pesos padronizados aos 120 (P120); 210 (P210); 450 (P450) dias de idade, perímetro escrotal aos 450 dias de idade (PE450) e idade ao primeiro parto (IPP), de 211.744 registros de animais Nelore, criados na região da Amazônia Legal, foram utilizados na análise. O efeito da IGA foi estudado por meio de estimativas de herdabilidade e de correlações entre classificações, comparando os animais da Amazônia Legal com a base geral de animais do PMGRN - Nelore Brasil. As análises bi-característica consideraram o P120 como característica-âncora, com P210; P450 e PE450. A característica IPP foi analisada separadamente, em análise de característica única e considerando como efeito fixo o GCIPP e como aleatórios os efeitos aditivos genético e residual. As estimativas de herdabilidade para P120; P210; P450; PE450 e IPP nos dados da Amazônia Legal foram: 0,20 a 0,49; 0,21; 0,48; 0,45 e 0,21, respectivamente, e nos dados gerais do PMGRN - Nelore Brasil foram: 0,23; 0,25; 0,34; 0,43 e 0,11, respectivamente. As correlações entre classificações de rank para P120; P210; P450; PE450 e IPP foram iguais a 0,77; 0,79; 0,82; 0,78 e 0,38, respectivamente. As análises da IGA, por meio das estimativas de herdabilidade, evidenciaram maiores efeitos sobre os aspectos maternos, de peso aos 450 dias de idade e idade ao primeiro parto, enquanto que as correlações entre classificações mostraram fortes evidências em quase todas as características estudadas.Genotype-environment interaction was studied by two different procedures in productive and reproductive traits of Nellore cattle. Data from adjusted weights at 120 (P120), 210 (P210), 450 (P450) days of age, scrotal circumference at 450 days of age (PE450) and age at first calving (IPP) for 211,744 records from Nellore herds located in the Legal Amazon region were used in the analysis. The effect of genotype-environment interaction was studied through heritability estimates and rank correlation, comparing the Legal Amazon animals with the general basis of animals - PMGRN Nellore Brazil. Bi-trait analyses considered P120 as anchor-trait with P210, P450 and PE450 as another one. IPP has been analyzed separately in single-trait analysis and considering GCIPP as fixed and additive and residual effects as random. Estimates of heritability for P120, P210, P450, PE450 and IPP on the data of the Legal Amazon were: 0.20 to 0.49; 0.21; 0.48; 0.45; and 0.21, respectively, and in general data of PMGRN - Nellore Brazil were: 0.23; 0.25; 0.34; 0.43 and 0.11, respectively. Correlations between rank for P120, P210, P450, PE450 and IPP were equal to 0.77; 0.79; 0.82; 0.78 and 0.38, respectively. The analysis of the genotype-environment interaction, through the heritability estimates, showed larger effects on maternal, weight at 450 days of age and age at first calving, whereas the rank correlations showed strong evidence in almost all traits studied

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 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,18,19 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