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Both GWAS and genomic selection (GS), a method for predicting phenotypes by the use of genome-wide marker data, are receiving considerable attention among plant breeders.
A major challenge for applying GWAS to nonmodel species has been generating dense genome-wide markers that satisfy the key requirement that marker data are error-free.
When we traced the former colonies of Africa that contributed to genetic ancestry in former colonies in the Americas, we observed that the colonial systems and genetic marker data are related.
Inflammatory marker data are depicted in Fig. 3.
VM3 provides a robust alternative when neither sufficient pedigree nor marker data are available.
Microsatellite genetic marker data are exploited in a variety of fields, including forensics, gene mapping, kinship inference and population genetics.
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A wide variety of marker data is available, including information-rich cellular imaging data.
The genotype result was consistent with sequencing data, indicating that the marker data were reliable.
In [14, 15] motion-captured marker data is concatenated to similar effect, albeit without the advantage of photorealistic texture.
Measured values were considered as dependent variables, while binary molecular marker data were considered as independent variables (Lestari et al. 2009).
The SNP marker data was obtained from GBS of a subset of the indica MAGIC population (200 S4 lines and 8 founders).
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