With a simple model for maize dispersal, we obtained a set of solutions with similar geographical origins.
Moreover, gene models for putative maize NAC transcription factors, deposited at Grassius Grass Regulatory Information Server (http://www.grassius.org/index.html), were blasted against the assembled maize genome.
Other genera such as Arcobacter were indeed found in an anaerobic community digesting a model substrate for maize but seem to play no dominant role in degradation of polysaccharides [68].
While all models were accurate for maize (RRMSE from 16.5% to 25.9%), they were, to some extent, unsuitable for rapeseed.
A concise risk assessment model for Bt maize and European Lepidoptera published by Perry et al. [7, 8, 11, 12] has been incrementally adopted in several stages for EU risk assessment [2 4, 14, 32 34].
Altogether, our data indicate that the gene model for the maize locus GRMZM2G057314 might have to be revised and furthermore that this locus might undergo alternative splicing.
Considering all the previously mentioned factors, we proposed two separate models for the ideotype maize RSAs at seedling stage and at adult plant stage, and the characteristics of axile root and lateral root traits for each model are described in detail.
The aim of this paper was to derive agroclimatic regions of Ireland using hydro-thermal climate (as expressed by climographs using mean monthly rainfall and temperature) in conjunction with a statistical clustering technique (k-means clustering) to relate crop yield, estimated using mathematical simulation models for grass, barley, maize, potato and soybean to hydro-thermal climate data.
We compared C3 and C4 metabolic networks using the improved constraint-based models for Arabidopsis and maize.
