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Vol. 11, Special Issue 10 (2022)

To study genetic variability for yield and its contributing traits in bread wheat

Author(s):
Bhawna Nagar, Dr. Hemlata Sharma, Sarita Chaudhary and Rohinee
Abstract:
In the present investigation, F2 population of three crosses viz., HD 2967 × Raj 4120, DBW 173 × Raj 3777 and GW 451 × Raj 4120, their six parents and check HI 1544 were evaluated under Randomized Complete Block Design with three replication at Instructional Farm, Rajasthan College of Agriculture, MPUAT, Udaipur during Rabi 2021-2022. Analysis of variance indicated that the mean sum of square due to genotypes was found significant for all of the characters under this investigation showing that there is enough variability among genotypes for different traits. The estimates of Phenotypic Coefficient of Variation (PCV) were little higher than their corresponding Genotypic Coefficient of Variation (GCV) pointing out that the environment had minor effect on the expression of the different traits. Higher estimates for GCV and PCV were revealed for grain yield per plant followed by total chlorophyll content estimation, number of effective tillers per plant, length of awns, spike length and harvest index. The characters had high heritability along with high genetic gain were total protein content in grains, number of effective tillers per plant, grain yield per plant and length of awns.
Pages: 716-718  |  226 Views  90 Downloads
How to cite this article:
Bhawna Nagar, Dr. Hemlata Sharma, Sarita Chaudhary and Rohinee. To study genetic variability for yield and its contributing traits in bread wheat. The Pharma Innovation Journal. 2022; 11(10S): 716-718.

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