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Evaluation of selection indices for improving grain yield in Cuminum cyminum L.

Document Type : Research Paper

Authors

1 Graduate University of Advanced Technology, Kerman, Iran

2 Department of Biotechnology, Institute of Science and High Technology and Environmental Sciences, Graduate University of Advanced Technology, Kerman, Iran

3 Department of Agronomy and Plant Breeding, College of Agriculture, Shahid Bahonar University of Kerman, Kerman, Iran

4 Shahid Bahonar University of Kerman, Kerman, Iran

Abstract

The selection indices is one of the most effective methods for improving complex traits such as yield. In the current study, 50 genotypes of cumin (Cuminum cyminum L.) were evaluated to assess the efficiency of different selection indices. The experiment was conducted in a randomized complete block design whit three replications in the Research Farm of Shahid Bahonar University, Kerman, Iran in 2011-2012. The Smith-Hazel and Pesek-Baker indices were evaluated based on seven traits including plant height, number of branches, number of umbels/plant, number of umbelets/plant, number of seeds/plant, seed yield/plant and shoot weight (with and without seed). The results of response to selection and relative selection efficiency indicated that the genotypes with higher number of seeds and branches/plant and lower plant height had the highest yield potential. In the Smith-Hazel index, number of branches and umbelets/plant had the highest response to selection, while in the Pesek-Baker index, the number of umbels/plant had the highest response to selection. Our results indicated that the Smith-Hazel index had the most selection efficiency and could be used in cumin breeding programs.

Keywords

References
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Iranian Journal of Medicinal and Aromatic Plants Research
Volume 32, Issue 6 - Serial Number 80
February 2017
Pages 1088-1098
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