34 research outputs found
Fermentation and nutritive value of silage and hay made from the aerial part of cassava (Manihot esculenta Crantz)
Microbial and fermentation profiles, losses and chemical composition of silages of buffel grass harvested at different cutting heights
Qualitative parameters of pearl millet silage ammoniated with urea, at different compaction densities
Growth analysis in the potato crop under different irrigation levels
Conduziu-se um experimento na Fazenda SĂŁo Manoel, localizada em SĂŁo Manuel, SP, pertencente Ă Faculdade de CiĂȘncias AgronĂŽmicas da Universidade Estadual Paulista, com o objetivo de avaliar os efeitos de diferentes lĂąminas de irrigação no crescimento da cultura da batata (Solanum tuberosum ssp. tuberosum), cultivar Aracy. O ensaio foi instalado em um Latossolo Vermelho-Escuro, textura arenosa, sob uma cobertura de plĂĄstico. O delineamento experimental utilizado foi o de blocos ao acaso, com cinco tratamentos, cinco coletas de plantas para fins de anĂĄlise de crescimento, e quatro repetiçÔes. Os tratamentos consistiam em irrigar a batata quando a tensĂŁo da ĂĄgua no solo atingia 15, 35, 55, 75 e 1.500 kPa. O aumento nas lĂąminas de irrigação induz incremento no Ăndice de ĂĄrea foliar, na duração da ĂĄrea foliar, na taxa de crescimento relativo e na taxa assimilatĂłria lĂquida. _________________________________________________________________________________________ ABSTRACT: An experiment was carried out at Fazenda SĂŁo Manoel, pertaining to the Faculdade de CiĂȘncias AgronĂŽmicas of the Universidade Estadual Paulista, SĂŁo Manuel, SP, Brazil, to evaluate irrigation levels in the potato (Solanum tuberosum ssp. tuberosum) growth, cv. Aracy. This work was installed in a sandy Dark-Red Latosol, under a plastic cover. The experimental design was an entirely randomized block composed by irrigation in the potato plots when the soil water potential has reached 15, 35, 55, 75 and 1,500 kPa, and five plant sampling time with four replicates. It was found that higher irrigation levels led to increase of the leaf area index, leaf area duration, relative growth rate and net assimilation rate
Produtividade, composição quĂmica e caracterĂsticas agronĂŽmicas de diferentes forrageiras
TRY plant trait database â enhanced coverage and open access
Plant traitsâthe morphological, anatomical, physiological, biochemical and phenological characteristics of plantsâdetermine 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 traitâbased 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 traitsâalmost complete coverage for âplant growth formâ. However, most traits relevant for ecology and vegetation modelling are characterized by continuous intraspecific variation and traitâenvironmental 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