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We have developed a technically simple, highly multiplexed, genotyping-by-sequencing (GBS) approach that is suitable for population studies, germplasm characterization, breeding, and trait mapping in diverse organisms.
In addition, although not comparable to the scale of association mapping in diverse populations where hundreds of alleles per locus can be simultaneously tested, in JICIM multiple alleles at the order of tens can easily be tested simultaneously (Tables S1 and 1).
Moreover, associations between traits and SNPs have been discovered by genome-wide association mapping in diverse populations [ 16, 19, 24].
Association mapping in diverse maize germplasm with high-density single-nucleotide polymorphism (SNP) markers contributes to the process of resolving QTL down to single genes or causative variants.
To test the applicability of the array for mapping in diverse Malus genotypes, we applied the array to the construction of a SNP-based linkage map of an apple rootstock progeny.
Next, we developed a theoretical tool to determine the appropriate marker number for QTL mapping in biparental populations, as well as assessed the marker number required for association mapping in diverse inbred populations.
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Maize bins 1.02 and 1.06 have been previously associated with a number of disease QTL mapped in diverse maize populations [ 20].
Several attempts have been made to infer protein-protein interaction maps in diverse model organisms through large-scale experimental methods [ 1, 2].
Characterized by a very compact inflorescence, they are the primary sources of drought tolerance, with many drought-associated QTL mapped in diverse genetic backgrounds of durra derivative.
Given the complexity of mapping traits in diverse populations, much effort has gone to developing and characterizing various statistical approaches to GWAS.
Because our analysis did mapping in a diverse spectrum of environments, we were able to study the effect of each putative locus in different conditions.
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