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Vol. 12, Issue 6 (2023)

Assessment of genetic variability for yield and yield contributing traits in rice (Oryza sativa L.)

Author(s):
Rufida Shahni Yumkhaibam, Mukh Ram, Suhel Mehandi and Satya Prakash
Abstract:
The present study was undertaken with 29 rice genotypes along with 3 checks to assess genetic factors such as (GCV) Genotypic coefficient of variation and (PCV) Phenotypic coefficient of variation, heritability and genetic advance (GA). The results showed significant variation across the genotypes, indicating that efficient selection is possible. All traits showed high heritability. The estimates of genotypic coefficient of variation were lower than the corresponding phenotypic coefficient of variation, indicating that environmental factors influenced how the traits under study were expressed. The highest genetic advance as a percentage of the mean was seen in plant height, number of productive tillers per plant, number of grains per panicle, biological yield per plant, test weight, number of spikelets per panicle, and harvest index. High heritability coupled with high genetic advance as a percentage of the mean was recorded for plant height (91.80, 34.157), the number of productive tillers per plant (96.70, 35.196), the number of grains per panicle (97.10, 37.942), test weight (94.30, 26.284), biological yield per plant (95.80, 38.518), the number of spikelets per panicle (93.10, 31.631), and harvest index (95.20, 37.181) respectively indicating that selection for the improvement of these characters may be rewarding for further breeding programme.
Pages: 1816-1820  |  298 Views  211 Downloads


The Pharma Innovation Journal
How to cite this article:
Rufida Shahni Yumkhaibam, Mukh Ram, Suhel Mehandi, Satya Prakash. Assessment of genetic variability for yield and yield contributing traits in rice (Oryza sativa L.). Pharma Innovation 2023;12(6):1816-1820.

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