Kanatti, A and Rai, K N and Radhika, K and Govindaraj, M (2016) Genetic architecture of open-pollinated varieties of pearl millet for grain iron and zinc densities. Indian Journal of Genetics and Plant Breeding, 76 (03). pp. 299-303. ISSN 0019-5200
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Abstract
Genetic architecture of two commercial open-pollinated varieties of pearl millet (ICTP 8203 and ICMV 221) for grain iron and zinc densities was studied using 160 full-sib progenies each that were developed following North Carolina Design -1 and evaluated for two seasons. Results showed predominantly additive genetic variance and nonsignificant additive gene effect × environment interaction variance compared to large and significant dominance × environment interaction variance for both micronutrients in both populations. This translated into high narrow-sense heritability for Fe (65%) and Zn (86%) in ICTP 8203, and moderate heritability of 45% for both micronutrients in ICMV 221. In comparison, 1000-seed weight, generally assumed to be highly heritable, was predominantly under dominance gene control and had large dominance × environment interaction, giving the narrow-sense heritability estimates of 31% in ICTP 8203 and 13% in ICMV 221. These results, and highly significant and positive correlation observed between Fe and Zn densities, and non-significant correlations of these micronutrients with grain weight suggest that simultaneous selection for Fe and Zn densities in these populations can be effectively made without compromising the grain size.
| Item Type: | Article |
|---|---|
| Divisions: | Research Program : Asia |
| CRP: | CGIAR Research Program on Agriculture for Nutrition and Health (A4NH) |
| Uncontrolled Keywords: | Pearl millet, Open pollinated variety, Grain iron and zinc density, Genetic variance |
| Subjects: | Mandate crops > Millets > Pearl Millet Others > Genetics and Genomics |
| Depositing User: | Mr Ramesh K |
| Date Deposited: | 04 Oct 2016 06:55 |
| Last Modified: | 10 Nov 2016 08:47 |
| URI: | http://oar.icrisat.org/id/eprint/9717 |
| Official URL: | http://dx.doi.org/10.5958/0975-6906.2016.00045.6 |
| Projects: | UNSPECIFIED |
| Funders: | UNSPECIFIED |
| Acknowledgement: | This research is a part of a Ph.D. thesis of A Kanatti, submitted to Professor Jayashankar Telangana State Agricultural University, Hyderabad, Telangana, India. It was supported by HarvestPlus Challenge Program of the CGIAR and conducted under CGIAR Research Program on A4NH. |
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