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Vol. 12, Issue 3 (2023)

Combining ability analysis for seed yield and its attributing traits in Wheat (Triticum aestivum L.)

Author(s):
Nishat Shah, Dr. Prateek Sharma and Dr. Deepak Kumar
Abstract:
Ten lines, four testers and their 40 hybrids were analyzed for yield and its contributing traits in two different environmental conditions i.e., timey sown and late sown. Crosses were made in line x tester mating design and data were recorded for 10 quantitative traits in both timely (E1) and late sown (E2) condition. ANOVA for combining ability analysis revealed that variances due to lines x testers showed highly significant differences for all the characters in E1 and E2 and pooled estimates except number of effective tillers per pant; Variance due to lines was also highly significant for days to maturity and test weight in E1, E2 and pooled estimate; whereas, variance due to testers were also highly significant for all the traits in both the environments as well as in pooled estimate except for test weight in E2 and harvest index in E1. The parental lines HD 2967and among testers PBW 550 with high GCA effects were identified as superior donors for seed yield per plant, biological yield per plant, number of spikelet’s per spike, number of grains per spike. The crosses HD 2824 X PBW 550, DBW 4 X Raj 3765 in timely sown, late sown and in pooled estimate showed significant & positive SCA effects for seed yield per plant as well as some other yield components.
Pages: 2125-2132  |  205 Views  110 Downloads


The Pharma Innovation Journal
How to cite this article:
Nishat Shah, Dr. Prateek Sharma, Dr. Deepak Kumar. Combining ability analysis for seed yield and its attributing traits in Wheat (Triticum aestivum L.). Pharma Innovation 2023;12(3):2125-2132.

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