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Vol. 12, Issue 5 (2023)

Dissection of yield and component traits based on selection indices in various sorghum (Sorghum bicolor L. Moench) genotypes

Author(s):
Deepak Kaushik, Yogesh Jindal, Amit, Sachin and Tejinder Singh
Abstract:
Selection indices are constructed using different weights viz. equal weight, genotypic correlation, phenotypic correlation and path coefficient (direct effects) with all possible combination of traits in forage sorghum based on fifteen biometrical characters viz. time of panicle emergence (days), height upto flag leaf (cm), total plant height (cm), stem diameter (mm), third leaf length from top (cm), third leaf breadth from top (cm), panicle length without peduncle (cm), dry matter (%), hundred seed weight (g), green fodder yield (q/ha), dry fodder yield (q/ha), HCN content on fresh weight basis (μg/g), protein (%), crude protein yield (q/ha), tannin content on dry weight basis (mg/g) along with their genetic gain and percent relative efficiency relative to green fodder yield. The data were collected from a set of forty nine genotypes of sorghum grown in randomized complete block design with three replications. The best selection indices include the traits namely; dry fodder yield, height upto flag leaf, total plant height, dry matter, dry fodder yield, HCN content on fresh weight basis. The suggested sorghum genotypes on the basis of overall selection indices were GP-236, IS 40921 and GP-298.
Pages: 1664-1667  |  154 Views  76 Downloads


The Pharma Innovation Journal
How to cite this article:
Deepak Kaushik, Yogesh Jindal, Amit, Sachin, Tejinder Singh. Dissection of yield and component traits based on selection indices in various sorghum (Sorghum bicolor L. Moench) genotypes. Pharma Innovation 2023;12(5):1664-1667.

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