Integrated genomic selection for rapid improvement of crops

An increase in the rate of crop improvement is essential for achieving sustained food production and other needs of ever-increasing population. Genomic selection (GS) is a potential breeding tool that has been successfully employed in animal breeding and is being incorporated into plant breeding. GS...

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Published in:Genomics (San Diego, Calif.) Calif.), 2021-05, Vol.113 (3), p.1070-1086
Main Authors: Krishnappa, Gopalareddy, Savadi, Siddanna, Tyagi, Bhudeva Singh, Singh, Sanjay Kumar, Mamrutha, Harohalli Masthigowda, Kumar, Satish, Mishra, Chandra Nath, Khan, Hanif, Gangadhara, Krishnappa, Uday, Govindareddy, Singh, Gyanendra, Singh, Gyanendra Pratap
Format: Article
Language:English
Subjects:
Animals
Crops, Agricultural - genetics
GEBVs
Genetic gain
Genome
Genomic selection
Genomics - methods
Marker
Plant Breeding - methods
Prediction accuracy
Selection, Genetic
Speed breeding
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Summary:An increase in the rate of crop improvement is essential for achieving sustained food production and other needs of ever-increasing population. Genomic selection (GS) is a potential breeding tool that has been successfully employed in animal breeding and is being incorporated into plant breeding. GS promises accelerated breeding cycles through a rapid selection of superior genotypes. Numerous empirical and simulation studies on GS and realized impacts on improvement in the crop yields are recently being reported. For a holistic understanding of the technology, we briefly discuss the concept of genetic gain, GS methodology, its current status, advantages of GS over other breeding methods, prediction models, and the factors controlling prediction accuracy in GS. Also, integration of speed breeding and other novel technologies viz. high throughput genotyping and phenotyping technologies for enhancing the efficiency and pace of GS, followed by its prospective applications in varietal development programs is reviewed. •Genomic selection (GS) promises faster breeding through increased selection accuracy.•Design of TP and GS models play critical role in prediction accuracy.•Speed breeding and high throughput genotyping and phenotyping can enhance GS efficiency.
ISSN:0888-7543
1089-8646
DOI:10.1016/j.ygeno.2021.02.007