International Journal of Chemical Studies
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P-ISSN: 2349-8528, E-ISSN: 2321-4902   |   Impact Factor: GIF: 0.565

Vol. 6, Issue 3 (2018)

Phenotyping of wheat cultivar (Triticum aestivum L.) using dus characters to work out genetic variability


Author(s): Vivek Sharma, Dr. Sumita Kumari and Ashwani Kumar

Abstract: Genetic variability assess in a core collection is key to find out ways to efficient utilization of genetic resource. Nearly hundred Indian bread wheat cultivars spanning over a century is procured form from the Indian Institute of Wheat & Barely Research (IIWBR), Karnal, used made up of a core collection. A characterization of DUS descriptors like waxiness on plant parts, foliage colour, flag leaf attitude and seed size considerable amount of variability. Quantitative characteristics were recorded to record variation in genotypes at agro-morphological level and analysis of core collection by variations, PCV, GCV, heritability and genetic advance was carried out. Analysis of variance revealed that the mean value due to genotypes showed significant variability for all the traits. The PCV values were higher than GCV values for all the traits which reflect the influence of environment on the expression of traits. The estimates of GCV were high for yield per plant, number of grains per spike and the remaining traits recorded moderate to low GCV. The heritability and genetic advance were high for plant height, number of days to 50% flowering, number of spikelets per spike, number of grains per spike and average yield per plant. These characters have huge amount of genetic variation, high GCV and PCV value, highly heritable and GAM of all eight characters. It also exhibited high heritability coupled with high genetic advance as percent of mean, might be utilized in hybridization- selection breeding for wheat genotypes.

Pages: 3291-3295  |  543 Views  240 Downloads

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How to cite this article:
Vivek Sharma, Dr. Sumita Kumari, Ashwani Kumar. Phenotyping of wheat cultivar (Triticum aestivum L.) using dus characters to work out genetic variability. Int J Chem Stud 2018;6(3):3291-3295.
 

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