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

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

Inter-relações de nitrogênio e fósforo na capacidade de combinação e na seleção em milho

Tem sido observada, em milho, a redução da absorção de nitrogênio (N), por causa da deficiência de fósforo (P), mas o efeito dessa combinação na seleção de genitores ainda precisa de estudos. Os objetivos deste trabalho foram avaliar os efeitos das inter-relações de P e N na capacidade de combinação e seleção de genitores de milho. As 28 combinações híbridas (CH), obtidas de um dialelo completo entre oito genótipos de milho e três testemunhas, foram avaliadas em quatro ambientes, obtidos pelas combinações de alta e baixa disponibilidade de P e N. Avaliaram-se o rendimento de grãos (RG) e as características secundárias: altura de plantas (AP) e espigas (AE), índice de colheita (IC), peso volumétrico (PV), prolificidade (PRL) e massa seca da parte aérea (MSPA). O efeito do estresse de N no RG foi similar em baixo e alto P. O genótipo P3041 apresentou alto RG em todos os ambientes. As correlações genéticas das características secundárias com o RG foram afetadas pelos ambientes. Em alto P, a capacidade geral de combinação (CGC) foi significativa para RG apenas em alto N. Em baixo P, a CGC apresentou significância em ambos os níveis de N. Os genótipos AG1051 e P3041 tiveram estimativas positivas de CGC em todos os ambientes. Conclui-se que, para o rendimento de grãos, a CGC somente não é importante em alto P e baixo N e a CEC não é importante em estresse de P ou N