IP is modeled in terms of technical, agronomic and socio-economical parameters as a way to understand the underlying processes that determine efficiencies.
By combining data from these sources, a critical evaluation focusing on selected technical, agronomic and engineering challenges that need to be overcome are described, including issues regarding PI scheduling, and the delineation of irrigation management zones to ensure compatibility with existing methods of overhead irrigation.
12302_2016_100_MOESM1_ESM.docx Additional file 1. Update of the technical report "Agronomic and environmental aspects of the cultivation of genetically modified herbicide-resistant plants", BfN-Skripten 362.
While variation and selection are driven predominantly by localised technical and agronomic learning, the conflict-driven dynamics are highly globalised and occur primarily as a result of reflexive learning about problematic sustainability impacts.
Phosphorus NMR studies of agriculture that do not link the identified P forms to agronomic values become esoteric technical studies rather than practical management studies, and are more limited in their wider use.
The experimental design considers technical, economic, agronomic and non-spatial statistical constraints and seeks to find a compromise between these constraints such that any one constraint is not limiting to adoption or interpretation.
This problem is sometimes complicated to solve depending on fertilizer formulation, but, at least so far, coating is in our opinion the best technical option to assure the agronomic efficiency of these types of compounds incorporated into NPK compound fertilizer granules when applied to the field.
Nonetheless, the medical and agronomic modelling communities are rather separate (REX Consortium 2007), and several biological and technical features have been considered to significantly different extents for different organisms (REX Consortium 2010).
Each rule describes the reasoning which is used to apply a technical decision by taking account of observed or simulated environmental conditions or predicted agronomic risks.
This deficit has primarily been attributed to technical and economic barriers associated with the complex and large genomes in ferns, but is compounded by the limited agronomic value of most ferns [ 4].
