Sentence examples for utilization for growth from inspiring English sources

It was assessed if carbohydrate type (NSP vs. starch) affected the energetic utilization for growth (KgDE) and the energy requirements for maintenance (DEm).

Co-expression of glycolysis/gluconeogenesis (phosphoglycerate kinase and glyceraldehyde phosphate dehydrogenase) and fatty acid oxidation genes at this time indicated the switch in carbon source utilization for growth and survival in the macrophage.

The dynamic profile of reducing sugar showed a sinusoidal behaviour attributing to a delicate balance between the rate of saccharification for reducing sugar release and the extent of its utilization for growth and ethanol formation.

The largest group within this set of genes is predicted to be involved in xylose utilization, needed for growth on plant material.

Although in the green microalga Chlamydomonas reinhardtii (Merchant et al. 2007) it has been calculated that red LED light centered at 674 nm yields the maximum photon utilization efficiency for growth (Chang et al. 2011), the most efficient and inexpensive red LED, based on the (Al, Ga) InP system, emits light centered at a shorter wavelength, or 660 nm (Krames et al. 2007).

B was the term standing for extra reactions (e.g. transport, metabolite utilization for cellular growth, etc).

As characterized in Arabidopsis, the highly conserved plant-specific protein impaired sucrose induction1 (ISI1, AT4G27750) is sugar inducible and regulates utilization of sugars for growth.

Utilization of growth media components also influenced biomass production.

Furthermore, digestibility of nutrients is expressed as the amount that is absorbed by the body of an animal and the utilization of those nutrients for growth, reproduction, and other functions.

We did not account for the availability and utilization of multiple substrates for growth and biomass production, which is the case in many environmental systems.

First, the assumption of optimal substrate utilization can be questionable for growth predictions on environments that are not commonly encountered by the organism (Ibarra et al., 2002; Schuster et al., 2008).