International Journal of Statistics and Applied Mathematics
  • Printed Journal
  • Indexed Journal
  • Refereed Journal
  • Peer Reviewed Journal
NAAS Journal

2024, Vol. 9, Special Issue 5

Statistical analysis of variances studies in segregating populations of okra (Abelmoschus esculentus L. Moench)


Author(s): Abhishek, Halesh GK, Fakruddin B, Ramchandra RK and Shivapriya Manchali

Abstract: The present study aimed to assess the analysis of variance among F3 and F4 populations of okra (Abelmoschus esculentus (L.) Moench) derived from two crosses: OK-2017-010 × Pusa Sawani and OK-2017-010 × Varsha Uphar. Statistical variance analysis was conducted using the augmented block design for the F3 populations and randomized complete block design (RCBD) for the F4 populations. A total of fourteen agronomic traits were evaluated, including earliness (days to first flowering, days to 50% flowering), plant height, number of branches per plant, fruit size (length, diameter), number of fruits per plant, and total yield per plant. The analysis of variance revealed highly significant differences among the treatments in both F3 and F4 populations for all traits, indicating substantial genetic variability. The presence of significant variation across yield components, fruit quality traits, and plant architecture highlights the potential of these populations for the selection of superior genotypes. These findings provide a solid foundation for the advancement of promising segregants in okra breeding programs, with the ultimate goal of developing high-yielding, early-maturing, and improved-quality okra cultivars.

DOI: 10.22271/maths.2024.v9.i5Sd.1839

Pages: 220-223 | Views: 151 | Downloads: 7

Download Full Article: Click Here
How to cite this article:
Abhishek, Halesh GK, Fakruddin B, Ramchandra RK, Shivapriya Manchali. Statistical analysis of variances studies in segregating populations of okra (Abelmoschus esculentus L. Moench). Int J Stat Appl Math 2024;9(5S):220-223. DOI: 10.22271/maths.2024.v9.i5Sd.1839

Call for book chapter
International Journal of Statistics and Applied Mathematics