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

2023, Vol. 8, Special Issue 6

Assessment of genetic variability and heritability in dry direct seeded rice (Oryza sativa L.)


Author(s): Rashad Khan, D Lenka, A Anandan, P Ranjith, S Mohanthy and KC Samal

Abstract: Nearly 202 genotypes from Bengal and Assam Aus panel were tested for variability of yield and yield attributing characters under dry direct seeded rice conditions at ICAR-National Rice Research Institute, Cuttack. The yield per plant showed a significant amount of variety; the largest yield was 31.4 g, the lowest was 0.45 g, and the grand mean was 9.40 g. According to the study's average performance of the 202 genotypes, no single genotype of rice fared better than any other for any of the attributes assessed. The examined genotypes showed a large level of variability between them in all of the observations. Characters like Days to 50% flowering, Plant height, number of tillers per plant, SPAD, Flag leaf length and Panicle length shown higher phenotypic variance (PV), Genotypic variance (GV). Higher PCV, GCV estimates obtained for Yield per plant and Productive tillers per plant. High Heritability estimates obtained for all the traits except Panicle length. High heritability coupled with high Genetic advance obtained for Plant height, Days to 50% flowering, Productive tillers per plant, Flag leaf length and SPAD. Thus, it may be suggested that these characters are predominantly controlled by additive genes.

Pages: 1459-1463 | Views: 201 | Downloads: 11

Download Full Article: Click Here
How to cite this article:
Rashad Khan, D Lenka, A Anandan, P Ranjith, S Mohanthy, KC Samal. Assessment of genetic variability and heritability in dry direct seeded rice (Oryza sativa L.). Int J Stat Appl Math 2023;8(6S):1459-1463.

Call for book chapter
International Journal of Statistics and Applied Mathematics