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In the case of wide dense GPS networks like in California and Japan, ionospheric waves can be imaged dynamically.
In an attempt to find such genetic markers, we combine milk production recording information and historical climatic data from a wide range of environments across Australia, with genome wide dense single nucleotide polymorphism (SNP) data on dairy sires.
With the development of new low-cost fully-automated genotyping technologies, use of genome wide dense marker information is becoming more feasible for many species, especially for traits where direct measurement of the performance of individuals is problematic, such as disease resistance.
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Genome-wide dense single nucleotide polymorphisms (SNPs) have been widely used in cattle for association studies [ 8- 12] and genomic prediction [ 13- 15] and represent a new opportunity to estimate non-additive effects at individual loci and to estimate non-additive variances.
Genomic prediction is a method that uses genome-wide dense markers to predict additive genetic values [ 1].
A homozygosity analysis of two of the families by genome-wide dense SNP genotyping revealed the locus 15q21.1 chromosome.
The development of high-throughput genotyping of single nucleotide polymorphisms (SNPs) has enhanced the use of genome-wide dense marker data for genetic improvement in livestock.
Genome-wide dense marker arrays that are available for livestock populations cover all chromosomes with dense single nucleotide polymorphism (SNP) markers [ 1].
Furthermore, an innovative method for predicting breeding values was proposed based on genome-wide dense DNA markers, known as the GEBV (Meuwissen et al., 2001).
This is largely due to the need to handle genomic datasets of unprecedented sizes, such as genome-wide dense markers or sequences for genome-enabled selection programs [ 2].
Due to the availability of affordable genome-wide dense marker maps, the use of marker information in practical animal and plant breeding programs is increasing.
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