Early Generation Selection Parameters for Genetic Improvement using Morpho-physiological and Seed Yield Components in Brassica species
Akhil Sharma, Vedna Kumari, Amit Rana
International Journal of Plant & Soil Science · pp. 43–53 · Published 9 Feb 2022
10.9734/ijpss/2022/v34i230835Abstract
Aims: To determine the best selection indices for seed yield improvement in Brassica crops Place of Study: Experimental Farm of Department of Genetics & Plant Breeding, CSK HPKV, Palampur, during rabi 2018-19. Methodology: The experimental material for the investigation comprised of twenty five advanced breeding lines including released varieties of four different Brassica species laid out in randomized complete block design with three replications which were evaluated for correlation (genotypic and phenotypic) studies, direct and indirect effects using various growth parameters and yield contributing traits. Results: Analysis of variance revealed significant genotypic variances for all the growth parameters and seed yield components under study except for Leaf Area Index (LAI), number of primary branches per plant, number of secondary branches per plant, siliquae per plant and harvest index. Correlation coefficients at phenotypic level indicated that seed yield per plant had significant positive correlations with relative growth rate (RGR), leaf area ratio (LAR), number of secondary branches per plant, siliquae per plant, seeds per siliqua, 1000-seed weight, biological yield per plant and harvest index while it had significant negative association with specific leaf weight (SLW), days to 50% flowering, days to 75% maturity and number of primary branches per plant. Path coefficient analysis revealed that biological yield per plant followed by harvest index had high positive direct as well as indirect effects on seed yield. Conclusion: Biological yield per plant and harvest index could be considered most important characters for improvement of seed yield both directly and indirectly in different Brassica species. Therefore, these traits could be preferred as the best selection indices in future for genetic improvement of rapeseed-mustard.
Cited by 4
Sarawut Rungmekarat, Siriwan Khwanmuang, Paradee Thammapichai · Journal of Agriculture and Food Research · 2026
F. Kayaçetin, Oğuzhan Aydin · Communications in Soil Science and Plant Analysis · 2024
A. Sharma, V. Kumari, A. Rana · International Journal of Bio-resource and Stress Management · 2022
Chetan Gupta, Naval Kishore, Vijay Rana · Journal of Cereal Research · 2022
Related research
- An Observational Case Control Study to Assess the Carotid Intima-media Thickness with Lipid Profile among Type 2 Diabetics — shares topic coverage
- Optimization of Nutritional Parameters for the Production of L-Methionine from Newly Isolated Bacillus cereus Strain — shares topic coverage
- Evaluation of Yield and Some Agronomical Traits in Garlic Genotypes (Allium sativum L) — shares topic coverage
- Correlation and Path Coefficient Analysis among Seed Yield Traits of Mung Bean (Vigna radiata L.) Accessions in Ethiopia — shares topic coverage
- Influence of Weather Parameters on Foliar Diseases of Sesame (Sesamum indicum L.) in Coastal Ecosystem of West Bengal, India — shares topic coverage
Article metrics
Real usage data collected on this platform.
0
Page views
0
PDF downloads
0
Outbound clicks
4
Citations
Views by country
Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".
No views recorded yet.
Traffic sources
Referring site, by host.
No traffic recorded yet.
Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.