Genomic Selection: A Way Forward for Crop Improvement
Parul Gupta*
Dept. of Genetics and Plant Breeding, Rajasthan College of Agriculture, Maharana Pratap University of Agriculture and Technology, Udaipur, Rajasthan (313 001), India
Mohit Sharma
Division of Genetics, ICAR-Indian Agricultural Research Institute, New Delhi, Delhi (110 012), India
DOI: NIL
Keywords: Breeding value, Genomic selection, MAS, Molecular breeding
Abstract
Since the origination of theory and conceptual under pinning for Genomic selection (GS), numerous studies have been conducted to determine how effectively genomic selection may be used to improve crops. However, marker-assisted selection (MAS) has demonstrated its promise for improving qualitative attributes that are governed by a small number of genes that have a significant impact. Its contribution to the improvement of quantitative traits which are complex in nature and controlled by a number of small-effect genes is modest. In this context, GS make use of genomic-estimated breeding values of individuals generated from genome-wide markers to select candidates for the upcoming breeding cycle for enhancing quantitative traits. In order to improve genetic gain, decrease breeding time and costs, and speed up the breeding process, genomic selection (GS), a potential molecular breeding approach, has been widely used and tested for plant breeding. The success of GS-enabled breeding operations depends on improved statistical models that use genetic data to increase prediction accuracy.
Downloads
not found
Reference
Budhlakoti, N., Kushwaha, A.K., Rai, A., Chaturvedi, K.K., Kumar, A., Pradhan, A.K., Kumar, D., 2022. Genomic Selection: A Tool for Accelerating the Efficiency of Molecular Breeding for Development of Climate Resilient Crops. Frontiers in Genetics 13, 66.
Gianola, D., Fernando, R.L., Stella, A., 2006. Genomic-assisted prediction of genetic value with semiparametric procedures. Genetics 173(3), 1761-1776.
Habier, D., Fernando, R.L., Dekkers, J.C., 2009. Genomic selection using low-density marker panels. Genetics 182(1), 343-353.
Meuwissen, T.H., Hayes, B.J., Goddard, M., 2001. Prediction of total genetic value using genome-wide dense marker maps. Genetics 157(4), 1819-1829.
Sun, J., Khan M., Amir R., Gul A., 2020. Genomic selection in wheat breeding, In: Climate Change and Food Security with Emphasis on Wheat. (Eds.) Ozturk, M., Gul, A. Academic Press. pp. 321-330.