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Application of genomic selection in agriculture
Author(s) -
Neeraj Budhlakoti,
Dwijesh Chandra Mishra,
Devender Arora,
Rajeev Ranjan Kumar
Publication year - 2018
Publication title -
bhartiya krishi anusandhan patrika
Language(s) - English
Resource type - Journals
eISSN - 0976-4631
pISSN - 0303-3821
DOI - 10.18805/bkap138
Subject(s) - pedigree chart , selection (genetic algorithm) , genomic selection , genetic gain , biology , marker assisted selection , genome , dna sequencing , genotype , genetic marker , genetics , microbiology and biotechnology , computational biology , genetic variation , computer science , dna , machine learning , gene , single nucleotide polymorphism
Traditional breeding technique for genetic improvement of crops are based on, information on phenotypes and pedigrees to predict breeding values, has been found very successful. But, genetic gain through this technique is found to be veryslow, time consuming. However, Due to availability of latest DNA sequencing technologies, now it is possible to estimate breeding values more accurately by using information on variation in DNA sequence. Lots of research has been done in direction ofmarker assisted selection, still it has some limitation on its implementation. Genomic selection (GS) is proposed to overcome such limitation. GS is a form of marker-assisted selection in which genetic markers covering the whole genome are used. GSpredicts breeding value using information available on phenotype and high density marker. Several techniques has been developed for selection and prediction of genotype, these techniques are based on analysis of genotypic and phenotypic data.

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