Analysis of Genetic Divergence in Wheat (Triticum Aestivum L.) Using Yield Attributes |
Author(s): |
| Shruti Tiwari , Baba Farid Institute of Technology, Suddowala, Dehradun, HNB Garhwal University, Srinagar, Uttarakhand, India; Vishal Deshwal, Baba Farid Institute of Technology, Suddowala, Dehradun, HNB Garhwal University, Srinagar, Uttarakhand, India; Indrajeet Sunar, Sri Dev Suman Uttarakhand University, Badshahithaul, Tehri Garhwal, Uttarakhand, India |
Keywords: |
| Genetic Divergence, Triticum Aestivum, Yield Attributes, Multivariate Analysis, Heritability, Breeding Program, Genetic Variability |
Abstract |
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This study investigates the genetic divergence in wheat (Triticum aestivum L.) using yield-related attributes. Conducted during the Rabi season of 2021-2022, the research involved four wheat genotypes evaluated under a randomized block design. Comprehensive statistical analyses, including phenotypic and genotypic variability, heritability, genetic advance, correlation coefficients, path analysis, and Mahalanobis D² statistics, were employed. Results indicated significant variability among genotypes for traits such as plant height, flag leaf area, and harvest index. High heritability and genetic advance values for key traits suggest their potential utility in wheat breeding programs. These findings provide a robust framework for selecting genetically diverse parents to enhance wheat yield, adaptability, and resilience against environmental stresses. |
Other Details |
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Paper ID: IJSRDV12I110063 Published in: Volume : 12, Issue : 11 Publication Date: 01/02/2025 Page(s): 98-105 |
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