It is imperative to introduce the identified yield-enhancing gene(s) into modern rice cultivars for the rapid improvement of yield potential through marker-assisted breeding.
For rapid improvement of genetic yield potential in rice, we need to evaluate and use the previously identified yield-enhancing genes in local favorite cultivar backgrounds.
Their structures were identified, yields and selenium contents were determined, selenium yields were calculated, and the immune-enhancing activities of four sGPSs with higher selenium yields were compared taking unmodified GPS as control.
In this work, we propose an alternate method for identifying yield on the basis of deformation-recovery simulations.
A novel technique for identifying yield surfaces is introduced, which makes use of an experimentally measured focal point through which all yield probes are made to pass.
A common approach is to identify yield as the first critical point of stress-strain curves simulated by molecular dynamics (MD).
Graphical profiles of purity versus total solids, and of protein concentration versus lactose concentration were effective when interpreting design results and a graph of component mass flux helped identify yield losses.
Various Nielsen's reinforced concrete slabs of arbitrary geometries are examined, showing that the proposed numerical procedure is capable of providing accurate collapse load multipliers and automatically identifying yield-patterns in terms of plastic dissipation distribution.
