., Ankit and Singh, Shivendra Pratap and Aware, Sonali Ambadas and Tiwari, Ankaj and Sindha, Seetal B. and Chellem, Sushma Raj and ., Ramnivas and Singh, Dharm Veer (2024) Estimates Indirect Selection Parameters Through Correlation and Path Analysis in Linseed (Linum usitatissimum L.). PLANT CELL BIOTECHNOLOGY AND MOLECULAR BIOLOGY, 25 (3-4). pp. 54-61. ISSN 0972-2025
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Abstract
An important rabi oilseed crop, linseed (Linum usitatissimum L.) has diploid chromosomal number 2n=30. According to Tadesse et al. (2009), L. usitatissimum is a single species in the Linaceae family of commercial value. According to correlation coefficient analyses, there is a strong intrinsic inherent between the different qualities because the genotypic correlation values were larger than the equivalent phenotypic correlation values. The biological yield per plant, 1000 seed weight, and seed yield per plant all shown a highly significant and favorable correlation. It suggested that grain yield might be enhanced under selection by enhancing these features. The results of the genotypic path coefficient analysis of seed yield and its contributing characters showed that harvest index, days to 50% flowering, number of secondary branches per plant, and number of primary branches per plant were the next most important factors that positively influenced grain yield per plant. These findings suggested that selection based on these traits could increase yield. The biological yield per plant, harvest index, number of primary branches per plant, days to maturity, and days to 50% flowering were found to have the greatest positive direct effects on seed yield per plant based on phenotypic path coefficient analysis of grain yield and its contributing features.
Item Type: | Article |
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Subjects: | Universal Eprints > Biological Science |
Depositing User: | Managing Editor |
Date Deposited: | 22 Apr 2024 06:58 |
Last Modified: | 29 Apr 2024 13:21 |
URI: | http://journal.article2publish.com/id/eprint/3756 |