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Vol. 12, Issue 3 (2023)

Estimation of variability, heritability and genetic advance of yield contributing traits in bread wheat (Triticum aestivum L.)

Author(s):
Nishat Shah, Dr. Prateek Sharma and Dr. Deepak Kumar
Abstract:
An experiment was conducted to study genetic variability, heritability and genetic advance in wheat population including 40 F1’s + 14 parents in RBD during Rabi 2020-22.ANOVAwas performed with ten characteristics to test the significance of the differences between different treatments viz., ten lines, four testers and forty F1s evaluated under two environments i.e. timely sown (E1), late sown (E2) and their pooled analysis. The result revealed that treatment mean sum of squares for all the ten characters was found highly significant in both the environments i.e., E1 and E2 and in pooled analysis except number of effective tillers per plant in pooled estimate. On the other hand variances due to replications have been found insignificant for all the traits. The high estimates of PCV and GCV (>20%) were recorded for seed yield per plant in E2, whereas high PCV in pooled analysis. Whereas, moderate estimates (10-20%) of PCV and GCV observed in biological yield per pant in both E1, E2 and pooled, whereas number of effective tillers per plant, number of spikelet’s per spike and number of grains per spike in E2. The high estimates of heritability in broad sense (>75%) were found for days to 50 per cent flowering, days to maturity, plant height (cm), test weight (%) in both the environment, whereas biological yield per plant (g) and seed yield per plant (g) in E1 only. High genetic advance in per cent of mean (>20%) were recorded for seed yield per plant (g) in E1, E2 and Pooled estimates. High heritability coupled with high genetic advance in per cent of mean was found for seed yield per plant and biological yield per plant in both E1 and E2 environments, which in fact demonstrated the presence of additive gene effects indicating effectiveness of selection for improvement of these traits.
Pages: 1404-1407  |  289 Views  177 Downloads


The Pharma Innovation Journal
How to cite this article:
Nishat Shah, Dr. Prateek Sharma, Dr. Deepak Kumar. Estimation of variability, heritability and genetic advance of yield contributing traits in bread wheat (Triticum aestivum L.). Pharma Innovation 2023;12(3):1404-1407.

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