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GENOMIC SELECTION FOR RESISTANCE TO NORTHERN LEAF BLIGHT (Exserohilum turcicum (Pass.) Leonard and Suggs) IN MAIZE (Zea mays L.)
| Content Provider | KrishiKosh-Indian National Agricultural Research System |
|---|---|
| Advisor | Kulkarni, R. S. |
| Researcher | Balasundara, D. C. |
| Abstract | Northern corn leaf blight (NCLB) in maize caused by Exserohilum turcicum is a serious foliar disease. Resistance to NCLB is complexly inherited and controlled by several quantitative trait loci (QTL) distributed across the genome. Phenotype as well as linked DNA markerbased selection for resistance to NCLB is expected to be effective. Hence, an investigation was carried out to predict the genetic value of selection candidates for resistance to NCLB and comparing the accuracies of genomic prediction in two F2:3 populations of crosses (CM212 × MAI172 and CM202 × SKV50) derived from contrasting parents. Linkage analysis using 297 polymorphic SNPs in population-1 and 290 polymorphic SNPs in population-2 revealed 10 linkage groups spanning 3623.88cM and 4261.92cM with an average distance of 12.40cM and 14.9cM for the population-1 and population-2, respectively. Location-wise and pooled data across locations indicated that QTLs expression is population and environment specific. The prediction accuracy of the QTL mapping (9.92 and 9.10 for population-1 and population-2, respectively) is based on only a few markers which explain higher per cent phenotypic variation. The prediction accuracy of genomic selection (GS) which potentially makes use of all the genetic variation present in an analysed population by summing the effects of all individual markers and thus can include small effects gene loci that cannot be detected by QTL analysis. The prediction accuracies of the genomic estimated breeding values in the present investigation were relatively low in population-1 (0.24 to 0.26) and population-2 (0.29-0.32) compared to the expected accuracies. This could be due to use of fewer polymorphic markers and small training/population size. Though, the GS prediction accuracies were low relatively low in general, they were significantly higher compared to QTL mapping which promises better genetic gain per cycle. |
| Page Count | 214 |
| File Size | 5644684 |
| File Format | |
| Language | English |
| Publisher | UNIVERSITY OF AGRICULTURAL SCIENCES GKVK |
| Publisher Place | Bangalore |
| Access Restriction | Open |
| Subject Keyword | Genetics and Plant Breeding Genomic Selection For Resistance To Northern Leaf Blight (exserohilum Turcicum (pass.) |
| Content Type | Text |
| Educational Degree | Doctor of Philosophy (Ph.D.) |
| Resource Type | Thesis |
