In order to increase the value and usability of the legacy point data as well as the large set of newly acquired field observations and the updated 1 50,000 map, we recommend installation of a soil monitoring network in the Dutch peatlands.
While we give examples only for a very small collection of available pathway mapping tools, we recommend to try out several methods and to regularly look for novel developments in the field of pathway visualization.
Following quality control procedures, available biological knowledge can be used to help guide both statistical and computational analyses as reviewed in Section 3. Given the complexity of the genotype phenotype mapping relationship, we recommend two complementary strategies for computational analysis.
Homoeologue assignment of the underlined homoeologue letters was performed based on results from the HxK mapping population We recommended using virtual, average-based reference alleles because single alleles that fit the requirements for a reference are very rare in a large breeding germplasm.
Hierarchical Bayesian models provide a sensible framework to model classification probabilities in the context of disease mapping and broadly speaking, we recommend FDR-like procedures when exploring divergent areas in disease mapping.
In addition, since historical climate maps are developed from weather station observations that have been spatially interpolated to create a seamless map of climate information, we recommend that single grid cells not be used for making climate-related decisions, but rather decisions should be based on many grid cells showing regional patterns of climate change with statistical confidence.
We recommend this mapping for plotting surfaces of values that are cumulative or static over the life course, but that may vary over time or by length of life.
Population genetic studies based on RAD loci in duplicated regions might therefore be limited, and so we recommend using mapped ESTs or microsatellites to target these regions.
We recommend association mapping with multiple subpopulations having more than 100 lines (in F5 or F6 generation) before any other selection, except for the trait of interest, is placed on them.
Hence, we recommend OLS for mapping the FACT-B to the EQ-5D-5L utindex index.
