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Therefore, applying association mapping in maize (Zea mays ssp. mays), the most diverse model crop species, to study the genetics of CCM is a particularly attractive system.
In this report, we demonstrate the utility of using long oligonucleotide microarrays for high-throughput mapping in maize without the need to apply complexity reduction methods.
Hence, we strongly suggest that this method could become an efficient, accurate, and low-cost approach for primary or fine QTL mapping in maize, and other species.
Moreover, target genes for crop improvement have been successfully identified using genome-wide association (GWA) mapping in maize [ 6, 10, 12].
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To determine how many of the remaining presence/absence GBS tags could be genetically mapped in maize, the binomial test of segregation was repeated versus this high density framework map, with a threshold of p<0.0001.
High-density markers have been mapped in maize, wheat and barley using this technology [ 16– 16].
The F2 population segregated for two recessive traits previously mapped in maize: sugary1 (su1) and yellowy1 (yellowy1
Through a genome-wide analysis, DNA methylation peaks were characterized and mapped in maize embryo and endosperm genome, respectively.
Because regulators of glycolysis have not been mapped in maize, it is also of interest to compare the activity of several key enzymes in this pathway.
Although these levels appear relatively low, considering both parents of 9328 were used in the SNP discovery pipeline, other studies which have used mapping parents in the same manner (discovery, detection and subsequent mapping) found similar numbers of SNPs placed on the genetic maps in maize (63%) [ 27] and in two mapping populations of potato (43% and 48%) [ 30].
We performed the association mapping in the maize progenitor, teosinte, since maize is expected to have little or no variation in these genes.
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