The most promising method for control currently appears to be cultivation of tolerant or resistant P. radiata genotypes so it is necessary to understand the genetic diversity within the genus Cyclaneusma in order to successfully identify the best genotypes for cultivation on disease-prone sites.
This approach consists in running simulations for different "in silico genotypes" obtained by varying the most sensitive genotypic parameters of these models, and analyzing results obtained for different environments, so as to identify the best genotypes for a target population of environments.
This result suggests that several genotypes should be screened to find the best genotype for SSR discovery in transcribed sequences.
At the end of the iteration, the likelihood-maximizing genotypes are reported, along with the log likelihood difference between the best and second best choice of genotype for each sample, which provides an indicator of the confidence in genotype call.
As a part of one of these larger projects, the aim of the present study is: (i) to evaluate P. pinea L. adaptive variability by comparing growth of genetically identified provenances in controlled environmental conditions, (ii) to distinguish some original discriminating characteristics and then, (iii) to determine the best genotype(s) for regional afforestations.
Transgressive segregation was not observed for HSW, for which the best genotypes were similar to the recurrent parent.
This is the concept at the basis of the MAS, for which the best genotypes to be selected are identified by their specific profiles (alleles) obtained in laboratory thanks to molecular markers.
Imputed SNP dosages and best guess genotypes for rs73885319, rs60910145, and rs71785313 in APOL1 gene were extracted from the imputation dataset to generate G1 and G2 APOL1 risk haplotypes.
Program default settings (test window of 10 cM, walk speed of 1 cM) were used, except for deselection of the option for best genotype prediction.
Secondly, we selected all SNPs (best-guess genotypes for imputed SNPs) in the 1298 2 Mb regions with evidence of a cis-eQTL.
