Life Sciences & Biotechnology
Title : | Genomic Prediction and Genome Wide Association Studies (GWAS) for Yield and Quality Related Traits in Marigold |
Area of research : | Life Sciences & Biotechnology |
Principal Investigator : | Dr. Sapna Panwar, ICAR- Indian Agricultural Research Institute, Delhi |
Timeline Start Year : | 2023 |
Timeline End Year : | 2026 |
Contact info : | sapna.panwar8@gmail.com |
Details
Executive Summary : | "Marigold, an ornamental flower crop with 55 reported species, is known for its wide diversity and the need for molecular breeding. However, there is limited work on molecular breeding aspects worldwide. Genotyping-by-sequencing (GBS) is a high-throughput genetic screening method that can be used to discover novel genome-wide SNPs in plant species due to their highly variable ploidy levels and repeat contents. GBS is particularly effective in identifying genomic regions associated with complex quantitative traits, providing higher mapping resolution and efficient detection of associations between molecular markers and traits of interest in many crops.
This study aims to phenotype and genotype marigold using GBS, identifying important loci governing quality and yield-related traits, and identifying promising lines. Marigold has not been sequenced yet, making it an ideal candidate for plant species where no genome sequence data information is available. The study will involve experiments such as phenotyping characterization, genotyping using GBS for SNP generation, identification of important loci governing quality and yield-related traits, and genomic selection. While some research has been conducted on diversity analysis using RAPD, ISSR, and SSR markers, no work has been initiated in this researchable area. This project combines GWAS and the GS approach to accelerate molecular breeding in marigold, identifying loci governing quality and yield-related traits. The expected outcome is to strengthen the breeding program of marigold, especially for the development of F1 hybrids." |
Total Budget (INR): | 38,48,428 |
Organizations involved