Sentence examples for population will map from inspiring English sources

In this paper, we hypothesise that the use of a nonlinear method (BayesR), combined with a multi-breed (Holstein/Jersey) reference population will map causative mutations with more precision than GBLUP and this, in turn, will increase the accuracy of genomic predictions for selection candidates that are less related to the reference animals.

Approximately 2500 additional genetic markers (the number of genetic markers currently mapping directly on the IBM genetic mapping population) will be needed to generate a completely integrated map for the maize genome.

The size of your mapping population will determine how effective the fine mapping and the positional cloning effort will be.

Hence, the QTL mapping population will be very useful in transferring favored alleles from both the parents by further backcrossing and marker assisted breeding.

Therefore, the QTL mapping population will be very useful for transferring favorite alleles form the two parents by further backcrossing and marker assisted selection.

In summary, a densely mapped IBM Syn10 population will help to identify and limit the number of positional candidate genes in QTL studies and identify promising candidates based on the sequence homology to characterized genes as a result of the availability of the B73 genome sequence.

A low LD population will facilitate high-resolution gene mapping [ 15, 16], whereas a high LD population will only allow for coarse mapping [ 9].

The addition of 55 SSRs to the carrot map, together with marker characterizations in six other mapping populations, will facilitate future comparative mapping studies and integration of carrot maps.

Due to double reduction, a well saturated blackberry map derived from multiple populations will be a map of chromosome arms rather than whole chromosomes, but useful marker linkages to important traits are still quite possible.

Due to the low diversity among cotton lines, multiple mapping populations will be required to map all of the polymorphic SNPs on the CottonSNP63K array.

As techniques for identifying rare disease loci in small patient populations improve, it is increasingly likely that a related human vascular disease will map to human Chr.