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MULTIVARIATE ANALYSIS OF GENETIC DIVERGENCE IN WHEAT (TRITICUM AESTIVUM) GERMPLASM

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dc.contributor.author SAIF ULLAH AJMAL
dc.contributor.author NASIR MAHMOOD MINHAS
dc.contributor.author ANBER HAMDANI
dc.contributor.author AMMARA SHAKIR
dc.contributor.author MUHAMMAD ZUBAIR
dc.contributor.author ZAHEER AHMAD
dc.date.accessioned 2023-01-10T04:01:05Z
dc.date.available 2023-01-10T04:01:05Z
dc.date.issued 2013-10-27
dc.identifier.citation Ajmal, S. U., Minhas, N. M., Hamdani, A., Shakir, A., Zubair, M., & Ahmad, Z. (2013). Multivariate analysis of genetic divergence in wheat (Triticum aestivum) germplasm. Pak. J. Bot, 45(5), 1643-1648. en_US
dc.identifier.issn 2070-3368
dc.identifier.uri http://142.54.178.187:9060/xmlui/handle/123456789/15810
dc.description.abstract Sustainable production of food crops relies on germplasm improvement and genetic diversity. The use of multivariate techniques is an important strategy for germplasm classification and study of genetic relationships among genotypes. Wheat germplasm comprising of 50 genotypes contributed by CIMMYT was evaluated for seven quantitative traits through cluster and principal component analyses. The first three PCs with eigen values >1 contributed 70.59% of the variability amongst genotypes. The characters contributing more positively with PC1 were number of spikelets per spike, spike length and grain yield (gram per plot). The cluster analysis sequestrated 50 genotypes into 5 clusters based on Ward’s method. The cluster IV and V were more clearly separated than cluster I, II and III. The cluster analysis revealed that considerable variation existed among genotypes that could be implicated in selection of wheat for the development or improvement of cultivars and germplasm. en_US
dc.language.iso en en_US
dc.publisher Karachi: Pakistan Botanical Society en_US
dc.title MULTIVARIATE ANALYSIS OF GENETIC DIVERGENCE IN WHEAT (TRITICUM AESTIVUM) GERMPLASM en_US
dc.type Article en_US


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