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Digital soil mapping involves the use of auxiliary data to assist in the mapping of soil classes.
As association mapping involves the screening of large numbers of plant lines, specific and accurate high-throughput phenotyping (HTP) methods are needed.
Digital soil mapping involves the use of ancillary data (e.g. proximal and remotely sensed) as surrogates for soil information to produce maps of soil type or classes.
LHZ mapping involves the discrimination of identical areas of varying hazard levels based on degrees of actual or potential damage [77].
SFP mapping involves the detection of probes revealing putative SFP whose behavior as Mendelian markers is then evaluated in segregating populations.
QTL mapping involves the analysis of a population(s) where individual plants, lines or families within the population have been characterized for a set of well-distributed molecular marker polymorphisms as well as for one or more quantitative traits.
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However, the SNPs identified are not necessarily the functional variant and many GWAS studies are moving into the next phase of disease mapping involving the validation, augmentation and refining of these putative regions or loci [2].
In SNP mapping involving the Hawaiian wild-type strain CB4856 crossed with the xrep-1 k1007) xrep-1 k1007e of the 16 xrep-1 alleles, we successfully assigned the gene xrep-1 to the mutationf LG I between the SNP markers F21C3 and T23G11.
A general approach for increasing the marker density in genetic linkage maps involves the identification of more markers and the integration of several linkage maps.
The archetype emotion map involved the left anterior cingulate cortex, the basolateral complex of the right amygdala, the posterior part of the right inferior frontal gyrus, the right intraparietal sulcus and the posterior part of the right temporal lobe (Fig. 2c).
The map involving the synaptic plasticity variables (2.3) that generalizes (3.16) would now be 5D.
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