Ola, Mahaveer Prasad and Jakhar, Mohan Lal and Gothwal, D. K. and Ahmadmad, Sarfraz and Ram, Manohar (2021) Genotypic × Environment Interaction and Stability Analysis for Yield and Yield Attributes in Taramira (Eruca sativa Mill.). International Journal of Environment and Climate Change, 11 (2). pp. 1-11. ISSN 2581-8627
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Abstract
Aims: To identify the stable genotypes across the different environments for yield and its attributing traits.
Study Design: Field experimental design was applied.
Place and Duration of Study: The experiment was conducted at Research Farm, SKN College of Agriculture, S.K.N. Agriculture University, Jobner (Rajasthan), India in different environments during rabi 2018-19.
Methodology: An experiment was conducted on thirty genotypes of taramira (Eruca Sativa Mill.) in three environments created by three dates of sowing during rabi 2018-2019 in randomized block design with three replications to estimate genotypic × environment interaction and stability parameters for various yield and yield attributing traits. The stability analysis was carried out according to Eberhart and Russell model.
Results: The highest yielding genotypes were RTM-1351, RTM-1810, RTM-1315 and RTM-314. Genotypes RTM-314, RTM-1800, RTM-1810 and RTM-1815 were found relatively stable for seed yield per plant. Genotypes RTM-1795, RTM-1798 and RTM-1799 had below average stability for seed yield per plant and suitable for better environmental conditions. Genotypes RTM-1791, RTM-1815 and RTM-1351 were showed above average stability for seed yield per plant and suitable for poor environmental condition. Further, these genotypes can be utilized in the development of stable cultivar taramira.
Conclusion: Pooled analysis of variance indicated significant differences among environments and genotypes. Genotypes RTM-314, RTM-1800, RTM-1805 and RTM-1810 were found most stable for most of the characters, which can be grown in wide range of environments (all three dates of sowing).
Item Type: | Article |
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Subjects: | STM Open Library > Geological Science |
Depositing User: | Unnamed user with email support@stmopenlibrary.com |
Date Deposited: | 18 Feb 2023 12:42 |
Last Modified: | 01 Jul 2024 07:25 |
URI: | http://ebooks.netkumar1.in/id/eprint/132 |