Sentence examples for mapping in crop from inspiring English sources
The first simulation experiment was designed to investigate the effect of QTL heritability on QTL mapping in crop cultivars.
An important consideration for the use of association mapping in crop plants is the presence of population structure.
The third simulation experiment compared the effect of the number of alleles on QTL mapping in crop cultivars.
However, one of the most important constraints in the use of association mapping in crop plants is unidentified population sub-structure, which arises as a result of adaptation, genetic drift, domestication or selection [3], [7].
Such gene haplotype-specific association in presence of high-resolution significant LD have utility to overcome the bi-allelic limitation of SNPs and for improving the efficiency of QTL mapping in crop plants.
Single-nucleotide polymorphisms (SNPs) are the most frequent type of variation found in DNA [ 1] and are valuable markers for high-throughput genetic mapping, genetic variation studies and association mapping in crop plants.
We then describe statistical methods used for improving detection power and computational speed and outline emerging areas such as large-scale meta-analysis for genetic mapping in crops.
This will help to dissect the molecular mechanisms underlying important traits and accelerate crop improvement in a cost-effective fashion by reducing the time required for effective genetic mapping in crops.
We chose KASPar technology as it seems to be the most appropriate technology for the most frequently encountered mapping situations in crop genetics – (a) relatively small populations and a reasonable number of markers for genome-wide linkage mapping and (b) large populations and a small number of markers for specific-region fine mapping.
The dramatically increasing availability of DNA markers will produce a landslide of genome-wide association mapping studies in crop species in the coming years.
Early association mapping studies in crop plants were hampered by the availability of a limited amount of mapped markers and thus were mainly based on resequencing candidate genes [ 39, 40].
