Suplemento mineral aniônico para vacas no periparto: parâmetros sanguíneos, urinários e incidência de patologias de importância na bovinocultura leiteira

A fim de avaliar o efeito do suplemento mineral aniônico sobre parâmetros sanguíneos, urinários e incidência de hipocalcemia e retenção de placenta, dezoito vacas de aptidão leiteira com grau de sangue 7/8 Holandesa preta e branca, com 440-620 kg e 5-10 anos, foram divididas com delineamento em blocos em função da ordem de parto em dois grupos: controle (BCAD=46,38mEq/kg de MS) e tratamento (com adição de suplemento mineral aniônico e BCAD = -249,28mEq/kg de MS). Foram monitorados níveis de cálcio total e pH na urina e soro sanguíneo; TCO2, pCO2, HCO3, excesso de base, cálcio ionizado, Na, K, Se no sangue; escore de condição corporal, hematócrito e hemoglobina. Os dados sanguíneos, urinários e ECC foram submetidos ao Proc Means do SAS (2000) com análise de variância a 5% e teste de Tukey e a incidência de retenção de placenta analisada por Mann-Whitney (P<0,07) e a concentração sérica de Se por teste t de Student (P<0,05), ambos pelo GraphPad Prism 5.0. O suplemento mineral aniônico diminuiu os valores de TCO2, pCO2, HCO3 e EB no sangue com menor perda de peso, mas a variação de pH e cálcio foi restrita ao tempo. O suplemento mineral aniônico não provocou leve acidose metabólica desejada e, consequentemente, não preveniu a hipocalcemia. Contudo, por apresentar Se em sua composição, proporcionou maior concentração deste micronutriente no soro e contribuiu para menor retenção de placenta

TRY plant trait database – enhanced coverage and open access

Plant traits—the morphological, anatomical, physiological, biochemical and phenological characteristics of plants—determine how plants respond to environmental factors, affect other trophic levels, and influence ecosystem properties and their benefits and detriments to people. Plant trait data thus represent the basis for a vast area of research spanning from evolutionary biology, community and functional ecology, to biodiversity conservation, ecosystem and landscape management, restoration, biogeography and earth system modelling. Since its foundation in 2007, the TRY database of plant traits has grown continuously. It now provides unprecedented data coverage under an open access data policy and is the main plant trait database used by the research community worldwide. Increasingly, the TRY database also supports new frontiers of trait‐based plant research, including the identification of data gaps and the subsequent mobilization or measurement of new data. To support this development, in this article we evaluate the extent of the trait data compiled in TRY and analyse emerging patterns of data coverage and representativeness. Best species coverage is achieved for categorical traits—almost complete coverage for ‘plant growth form’. However, most traits relevant for ecology and vegetation modelling are characterized by continuous intraspecific variation and trait–environmental relationships. These traits have to be measured on individual plants in their respective environment. Despite unprecedented data coverage, we observe a humbling lack of completeness and representativeness of these continuous traits in many aspects. We, therefore, conclude that reducing data gaps and biases in the TRY database remains a key challenge and requires a coordinated approach to data mobilization and trait measurements. This can only be achieved in collaboration with other initiatives