Krishnappa, S and Likhithashree, T R and Kavuri, S R and Pujar, M and Bomma, N and Shruthi, H B and Gangashetty, P I (2026) Navigating the Development of Next-Generation Crop Varieties Using Genomic Selection for Food and Nutritional Security. In: Next Generation Crop Improvement for Agricultural Sustainability and Food Security. CRC Press, Boca Raton, pp. 78-100. ISBN 9781003584100
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Vagaries in climate have necessitated development of next-generation varieties of better nutritional quality with higher yield. Next-generation varieties are the product of more than one superior trait. To achieve food and nutritional security, advanced genotypic and phenotypic technologies with a high rate of data generation are necessary. Advanced technologies guided to the development of genomic selection which is a novel approach that predicts an individual's breeding value using a enormous number of markers spread throughout the complete genome. GS basically has two phases, the training and the breeding phase. The marker and phenotypic effects of training population will be utilized to estimate the genome-wide breeding values from only the genome-wide marker data of the breeding population. When compared to marker-assisted selection, genomic selection leads to increased genetic gain which further leads to development of superior lines. Basic breeder’s equation is used to estimate the genetic gain and factors in the equation can be modified to improve the obtained gain. Factors such as marker density, size and diversity of training and breeding population, and number of generations. Genotypic data from next-generation sequencing technologies and phenotyping data from high throughput phenotyping platforms will be combined using different prediction models to predict the breeding values. Various statistical tools like GBLUP, rrBLUP draws mathematical relationship between genotypic and phenotypic data, which envisages genomic prediction efficacy. Frequent improvement and upgradation of the statistical tools are necessary to improve the estimation efficiency and render its usage to diverse crops. Based on the objective and resources various statistical techniques can be employed to deploy genomic selection in various crops. Genomic selection procedure was found to be successfully employed in major crops such as rice, maize and wheat to develop improved next-generation varieties with improved yield and nutritional quality. To achieve accelerated genetic improvement in the face of climate change, it is essential to use genomic selection which provides diverse merits over conventional marker based selection. Thereby genomic selection forms a guide to tailor the development of next-generation varieties to achieve nutritional and food security.
| Item Type: | Book Section |
|---|---|
| Divisions: | Global Research Program - Accelerated Crop Improvement |
| CRP: | UNSPECIFIED |
| Uncontrolled Keywords: | food security, nutritional security, Next-Generation crop varieties, genomic selection |
| Subjects: | Others > Genetics and Genomics Others > Food and Nutrition Others > Food Security |
| Depositing User: | Mr Nagaraju T |
| Date Deposited: | 23 Feb 2026 10:52 |
| Last Modified: | 23 Feb 2026 10:53 |
| URI: | http://oar.icrisat.org/id/eprint/13493 |
| Acknowledgement: | UNSPECIFIED |
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