M.S. Salamati; H. Zeinali
Abstract
Cuminum cyminum L. is one of the most important and economic medicinal plants with a considerable distribution in different regions of the country. This study was carried out in order to evaluate genetic variation and relationships among traits in 16 populations of Cuminum cyminum L. under field conditions ...
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Cuminum cyminum L. is one of the most important and economic medicinal plants with a considerable distribution in different regions of the country. This study was carried out in order to evaluate genetic variation and relationships among traits in 16 populations of Cuminum cyminum L. under field conditions using a completely randomized design with 4 replications. Morphological traits including seed yield, biological yield, plant height, plant weight, the number of umbels per plant, the number of umbelet per umbel, the number of seed per umbel and 1000-seed weight were studied. Results of analysis of variance showed significant differences for all studied traits (p< 0.01) except for number of umbelet per umbel. High values of phenotypic and genotypic coefficients of variation were recorded for most of the traits, indicating high variations for the studied traits. Seed yield varied from 0.75 g per plant in accession of Sirjan to 0.99 g in accession of Birjand. According to the results of correlation coefficients, a high and positive significant correlation was recorded between seed yield per plant and seed number per umbel, the number of umbel per plant, biological yield and plant height. Sixteen populations were classified into four groups based upon cluster analysis. Populations of cluster IV had superiority for seed number per umbel, seed yield, biological yield, and number of umbel per plant compared to other clusters. Consequently, crossing between superior genotypes of different clusters and testing their progeny through breeding and selection programs may result in production of cultivars with desirable agronomic characteristics.
M.S. Salamati; H. Zeinali
Abstract
This study was performed to investigate genetic diversity and relationships among morphological traits in 21 genotypes of Nigella sativa L., in a completely randomized design with four replications. Morphological traits included seed yield/plant, biological yield, follicle number, seed number per follicle, ...
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This study was performed to investigate genetic diversity and relationships among morphological traits in 21 genotypes of Nigella sativa L., in a completely randomized design with four replications. Morphological traits included seed yield/plant, biological yield, follicle number, seed number per follicle, 1000- seed weight, number of stem branches, follicle weight, plant height and harvest index. Results of analysis of variance showed significant differences for all studied traits (p < 0.01) except harvest index. Phenotypic and genotypic coefficients of variation were high for most traits indicating high diversity of the studied traits. Seed yield varied from 63.34 g in genotype of Shiraz to 147.36 g in genotype of Zabol 1. Correlation coefficients among traits showed that seed yield/plant had a significant and positive correlation with biological yield, seed number per follicle, plant height, number of stem branches and harvest index. Results of stepwise regression analysis for seed yield showed that biological yield, seed number per follicle, number of stem branches and harvest index were entered into the model, respectively, and 95 percent of total variation of seed yield was justified. Path analysis showed that biological yield and seed number per follicle had the highest direct effect on seed yield per plant. Factor analysis revealed three factors that justified 94.12 percent of the total variation among studied traits. These factors were respectively named as efficiency factor (seed yield and biological yield), yield component factor (number of stem branches and follicle number per plant) and follicle factor (follicle weight and seed number per follicle). According to the cluster analysis, 21 genotypes were classified into 3 groups and there were significant differences among the groups especially in terms of seed yield, follicle number per plant and seed number per follicle. Consequently, crossing between superior genotypes of different clusters and testing their progeny through breeding and selection programs may result in production of cultivars with desirable agronomic characteristics.
