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Quantitative trait loci (QTL) mapping has led to the prediction of several QTLs for yield-related traits (http://www.gramene.org/db/qtl/qtl_display?trait_category=Yield).
The mapping has led to the discovery of unknown formation areas of AABW and elucidation of strong linkage between sea-ice production and bottom/intermediate water formation and their variabilities.
The advent of optical mapping has led to many successful applications in micro-organism chromosome map constructions [ 31– 31].
In sorghum, association mapping has led to the identification of markers for height, flowering time, tiller number and stem sugar [ 278, 279].
In maize, association mapping has led to the identification of markers for flowering time [ 187, 280, 281], kernel composition [ 282] as well as starch accumulation [ 283].
The identification of QTLs (Quantitative Trait Loci) on BTA14 and BTA6 and its subsequent fine mapping has led to identification of two non conservative mutations affecting milk production and composition.
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Two complementary approaches for genetic mapping, linkage mapping and association mapping have led to successful dissection of complex traits in many crop species.
Most notable, however, advances in large-scale protein-interaction mapping have led to a significant expansion in our understanding of both the composition of protein complexes and their arrangement within broader cellular PPI networks that are often perturbed under disease states.
Rapidly accumulating data from plant genome sequencing and comparative genetic mapping have led to new resources for accessing and displaying these data sets (eg. see Gramene [ 9], The Institute for Genome Research TIGRR) [ 10], The Arabidopsis Information Resource (TAIR) [ 11], the Brassica Genome Gateway [ 12].
Now that Stephen K. Bannon's nativist road map has led to dead ends in Britain and America, it's tempting simply to see this as vindication — and take comfort in the shambolic predicament of the other side.
A combination of short-read sequencing technology with physical and genetic maps has led to a drastic improvement in scaffold sizes, but not to contigs, leaving many gaps and misassembled or unassembled regions, especially in repeated regions.
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