132 research outputs found
A silviculture-oriented spatio-temporal model for germination in Pinus pinea L. in the Spanish Northern Plateau based on a direct seeding experiment
Natural regeneration in Pinus pinea stands
commonly fails throughout the Spanish Northern Plateau
under current intensive regeneration treatments. As a
result, extensive direct seeding is commonly conducted to
guarantee regeneration occurrence. In a period of rationalization
of the resources devoted to forest management,
this kind of techniques may become unaffordable. Given
that the climatic and stand factors driving germination
remain unknown, tools are required to understand the
process and temper the use of direct seeding. In this study,
the spatio-temporal pattern of germination of P. pinea was
modelled with those purposes. The resulting findings will
allow us to (1) determine the main ecological variables
involved in germination in the species and (2) infer adequate
silvicultural alternatives. The modelling approach
focuses on covariates which are readily available to forest
managers. A two-step nonlinear mixed model was fitted to
predict germination occurrence and abundance in P. pinea
under varying climatic, environmental and stand conditions,
based on a germination data set covering a 5-year
period. The results obtained reveal that the process is primarily
driven by climate variables. Favourable conditions
for germination commonly occur in fall although the
optimum window is often narrow and may not occur at all
in some years. At spatial level, it would appear that germination
is facilitated by high stand densities, suggesting
that current felling intensity should be reduced. In accordance
with other studies on P. pinea dispersal, it seems that
denser stands during the regeneration period will reduce
the present dependence on direct seeding
Development of a kinetic metabolic model: application to Catharanthus roseus hairy root
A kinetic metabolic model describing Catharanthus roseus hairy root growth and nutrition was developed. The metabolic network includes glycolysis, pentose-phosphate pathway, TCA cycle and the catabolic reactions leading to cell building blocks such as amino acids, organic acids, organic phosphates, lipids and structural hexoses. The central primary metabolic network was taken at pseudo-steady state and metabolic flux analysis technique allowed reducing from 31 metabolic fluxes to 20 independent pathways. Hairy root specific growth rate was described as a function of intracellular concentration in cell building blocks. Intracellular transport and accumulation kinetics for major nutrients were included. The model uses intracellular nutrients as well as energy shuttles to describe metabolic regulation. Model calibration was performed using experimental data obtained from batch and medium exchange liquid cultures of C. roseus hairy root using a minimal medium in Petri dish. The model is efficient in estimating the growth rate
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