Genetic architecture of open-pollinated varieties of pearl millet for grain iron and zinc densities

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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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
Official URL:
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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