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We developed a standardized methodology to define factors influencing effort allocation and to produce fishing effort maps by merging GIS with geostatistical modelling techniques.
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Finally, our SLAM system enables reconstruction of the global map by merging the local planar surface segments in a highly efficient way.
To deduce a 2-D flow map by merging and spatially interpolating LOSV values, several modeling techniques based on the LOSV observation were developed in past studies.
Our approach involved first constructing a population-specific consolidated map by merging constituent genotype matrices for each mapping population following initial assignment to each of the 19 LGs.
The aim of the International Cucurbit Genomics Initiative (ICuGI) [ 22], currently in progress, is to obtain a consensus genetic map by merging genetic maps available using a common set of SSRs as anchor markers.
To this end, we first establish a high-density genetic linkage map by merging three existing SNP-based maps [ 31] using map merging approaches implemented in the software LPmerge [ 32, 33] and MergeMap [ 34].
Furthermore, all bin markers used here possess their unique physical locations in the C. maxima reference genome, and are potentially highly transferable among species and even genera, which will facilitate the development of an integrated Cucurbita map by merging different maps [ 31, 64].
The construction of the integrated map described herein involved two stages: 1) the building of a framework map by merging all the available maps (Table 1) using Joinmap 3.0 [ 40]; 2) the addition of subsequent markers using a "bin-mapping" approach [ 41].
Several genetic maps have also been reported for melon and a consensus genetic map, obtained by merging available maps using a common set of SSRs as anchor markers, has recently been obtained by the International Cucurbit Genomics Initiative (ICuGI) [ 16- 20, 9].
We used a genetic map developed by merging an AFLP-based map [ 24] and an expressed sequence tag (EST -derived singlEST -derived polymorphisingleP) marker-based map [ 25] for the same populationucleotide
The consensus genetic linkage maps were obtained by merging separate maps from three mapping families.
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